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Posted to commits@flink.apache.org by fh...@apache.org on 2017/11/22 22:10:38 UTC
[1/9] flink git commit: [FLINK-2170] [connectors] Add
OrcRowInputFormat and OrcTableSource.
Repository: flink
Updated Branches:
refs/heads/master 5017c679c -> 200612ee0
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.orc
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diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.orc
new file mode 100644
index 0000000..f51ffdb
Binary files /dev/null and b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.orc differ
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/resources/decimal.dat
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diff --git a/flink-connectors/flink-orc/src/test/resources/decimal.dat b/flink-connectors/flink-orc/src/test/resources/decimal.dat
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http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/resources/decimal.orc
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/resources/decimal.orc b/flink-connectors/flink-orc/src/test/resources/decimal.orc
new file mode 100644
index 0000000..cb0f7b9
Binary files /dev/null and b/flink-connectors/flink-orc/src/test/resources/decimal.orc differ
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/resources/demo-11-none.orc
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/resources/demo-11-none.orc b/flink-connectors/flink-orc/src/test/resources/demo-11-none.orc
new file mode 100644
index 0000000..1d1d714
Binary files /dev/null and b/flink-connectors/flink-orc/src/test/resources/demo-11-none.orc differ
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/resources/log4j-test.properties
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/resources/log4j-test.properties b/flink-connectors/flink-orc/src/test/resources/log4j-test.properties
new file mode 100644
index 0000000..881dc06
--- /dev/null
+++ b/flink-connectors/flink-orc/src/test/resources/log4j-test.properties
@@ -0,0 +1,27 @@
+################################################################################
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+################################################################################
+
+# Set root logger level to DEBUG and its only appender to A1.
+log4j.rootLogger=OFF, A1
+
+# A1 is set to be a ConsoleAppender.
+log4j.appender.A1=org.apache.log4j.ConsoleAppender
+
+# A1 uses PatternLayout.
+log4j.appender.A1.layout=org.apache.log4j.PatternLayout
+log4j.appender.A1.layout.ConversionPattern=%-4r [%t] %-5p %c %x - %m%n
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/pom.xml
----------------------------------------------------------------------
diff --git a/flink-connectors/pom.xml b/flink-connectors/pom.xml
index c2d7bb0..e8dd7a8 100644
--- a/flink-connectors/pom.xml
+++ b/flink-connectors/pom.xml
@@ -36,6 +36,7 @@ under the License.
<packaging>pom</packaging>
<modules>
+ <module>flink-orc</module>
<module>flink-jdbc</module>
<module>flink-hadoop-compatibility</module>
<module>flink-hbase</module>
[8/9] flink git commit: [FLINK-2170] [connectors] Add
OrcRowInputFormat and OrcTableSource.
Posted by fh...@apache.org.
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java
index c7557c7..cfb4e0e 100644
--- a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java
+++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java
@@ -39,29 +39,36 @@ import org.apache.hadoop.hive.ql.exec.vector.StructColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.TimestampColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
-
import org.apache.orc.TypeDescription;
import java.lang.reflect.Array;
import java.math.BigDecimal;
+import java.nio.charset.StandardCharsets;
import java.sql.Date;
import java.sql.Timestamp;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
+import java.util.TimeZone;
+import java.util.function.DoubleFunction;
+import java.util.function.IntFunction;
+import java.util.function.LongFunction;
/**
* A class that provides utility methods for orc file reading.
*/
-public class OrcUtils {
+class OrcUtils {
+
+ private static final long MILLIS_PER_DAY = 86400000; // = 24 * 60 * 60 * 1000
+ private static final TimeZone LOCAL_TZ = TimeZone.getDefault();
/**
- * Convert ORC schema types to Flink types.
- *
- * @param schema schema of orc file
+ * Converts an ORC schema to a Flink TypeInformation.
*
+ * @param schema The ORC schema.
+ * @return The TypeInformation that corresponds to the ORC schema.
*/
- public static TypeInformation schemaToTypeInfo(TypeDescription schema) {
+ static TypeInformation schemaToTypeInfo(TypeDescription schema) {
switch (schema.getCategory()) {
case BOOLEAN:
return BasicTypeInfo.BOOLEAN_TYPE_INFO;
@@ -77,6 +84,8 @@ public class OrcUtils {
return BasicTypeInfo.FLOAT_TYPE_INFO;
case DOUBLE:
return BasicTypeInfo.DOUBLE_TYPE_INFO;
+ case DECIMAL:
+ return BasicTypeInfo.BIG_DEC_TYPE_INFO;
case STRING:
case CHAR:
case VARCHAR:
@@ -97,154 +106,164 @@ public class OrcUtils {
return new RowTypeInfo(fieldTypes, fieldNames);
case LIST:
TypeDescription elementSchema = schema.getChildren().get(0);
- TypeInformation elementType = schemaToTypeInfo(elementSchema);
+ TypeInformation<?> elementType = schemaToTypeInfo(elementSchema);
+ // arrays of primitive types are handled as object arrays to support null values
return ObjectArrayTypeInfo.getInfoFor(elementType);
case MAP:
TypeDescription keySchema = schema.getChildren().get(0);
TypeDescription valSchema = schema.getChildren().get(1);
- TypeInformation keyType = schemaToTypeInfo(keySchema);
- TypeInformation valType = schemaToTypeInfo(valSchema);
- return new MapTypeInfo(keyType, valType);
- case DECIMAL:
- return BasicTypeInfo.BIG_DEC_TYPE_INFO;
+ TypeInformation<?> keyType = schemaToTypeInfo(keySchema);
+ TypeInformation<?> valType = schemaToTypeInfo(valSchema);
+ return new MapTypeInfo<>(keyType, valType);
case UNION:
- throw new UnsupportedOperationException("UNION type not supported yet.");
+ throw new UnsupportedOperationException("UNION type is not supported yet.");
default:
throw new IllegalArgumentException("Unknown type " + schema);
}
}
/**
- * Fill rows from orc batch.
- *
- * @param rows the batch of rows need to be filled
- * @param schema schema of orc file
- * @param batch current orc batch data used to fill the rows
- * @param fieldMapping field mapping
+ * Fills an ORC batch into an array of Row.
*
+ * @param rows The batch of rows need to be filled.
+ * @param schema The schema of the ORC data.
+ * @param batch The ORC data.
+ * @param selectedFields The list of selected ORC fields.
+ * @return The number of rows that were filled.
*/
- public static void fillRows(Object[] rows, TypeDescription schema, VectorizedRowBatch batch, int[] fieldMapping) {
+ static int fillRows(Row[] rows, TypeDescription schema, VectorizedRowBatch batch, int[] selectedFields) {
- int totalRowsInBatch = (int) batch.count();
+ int rowsToRead = Math.min((int) batch.count(), rows.length);
List<TypeDescription> fieldTypes = schema.getChildren();
- for (int outIdx = 0; outIdx < fieldMapping.length; outIdx++) {
- int inIdx = fieldMapping[outIdx];
- readField(rows, outIdx, fieldTypes.get(inIdx), batch.cols[inIdx], null, Math.min((int) totalRowsInBatch, rows.length));
+ // read each selected field
+ for (int rowIdx = 0; rowIdx < selectedFields.length; rowIdx++) {
+ int orcIdx = selectedFields[rowIdx];
+ readField(rows, rowIdx, fieldTypes.get(orcIdx), batch.cols[orcIdx], null, rowsToRead);
}
+ return rowsToRead;
}
- private static void readField(Object[] rows, int fieldIdx, TypeDescription schema, ColumnVector vector, long[] lengthVector, int childCount) {
+ /**
+ * Reads a vector of data into an array of objects.
+ *
+ * @param vals The array that needs to be filled.
+ * @param fieldIdx If the vals array is an array of Row, the index of the field that needs to be filled.
+ * Otherwise a -1 must be passed and the data is directly filled into the array.
+ * @param schema The schema of the vector to read.
+ * @param vector The vector to read.
+ * @param lengthVector If the vector is of type List or Map, the number of sub-elements to read for each field. Otherwise, it must be null.
+ * @param childCount The number of vector entries to read.
+ */
+ private static void readField(Object[] vals, int fieldIdx, TypeDescription schema, ColumnVector vector, long[] lengthVector, int childCount) {
+ // check the type of the vector to decide how to read it.
switch (schema.getCategory()) {
case BOOLEAN:
if (vector.noNulls) {
- readNonNullBooleanColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readNonNullLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readBoolean, OrcUtils::boolArray);
} else {
- readBooleanColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readBoolean, OrcUtils::boolArray);
}
break;
case BYTE:
if (vector.noNulls) {
- readNonNullByteColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readNonNullLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readByte, OrcUtils::byteArray);
} else {
- readByteColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readByte, OrcUtils::byteArray);
}
break;
case SHORT:
if (vector.noNulls) {
- readNonNullShortColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readNonNullLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readShort, OrcUtils::shortArray);
} else {
- readShortColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readShort, OrcUtils::shortArray);
}
break;
case INT:
if (vector.noNulls) {
- readNonNullIntColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readNonNullLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readInt, OrcUtils::intArray);
} else {
- readIntColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readInt, OrcUtils::intArray);
}
break;
case LONG:
if (vector.noNulls) {
- readNonNullLongColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readNonNullLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readLong, OrcUtils::longArray);
} else {
- readLongColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readLong, OrcUtils::longArray);
}
break;
case FLOAT:
if (vector.noNulls) {
- readNonNullFloatColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount);
+ readNonNullDoubleColumn(vals, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount, OrcUtils::readFloat, OrcUtils::floatArray);
} else {
- readFloatColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount);
+ readDoubleColumn(vals, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount, OrcUtils::readFloat, OrcUtils::floatArray);
}
break;
case DOUBLE:
if (vector.noNulls) {
- readNonNullDoubleColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount);
+ readNonNullDoubleColumn(vals, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount, OrcUtils::readDouble, OrcUtils::doubleArray);
} else {
- readDoubleColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount);
+ readDoubleColumn(vals, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount, OrcUtils::readDouble, OrcUtils::doubleArray);
}
break;
case CHAR:
case VARCHAR:
case STRING:
if (vector.noNulls) {
- readNonNullStringColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
+ readNonNullBytesColumnAsString(vals, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
} else {
- readStringColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
+ readBytesColumnAsString(vals, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
}
break;
case DATE:
if (vector.noNulls) {
- readNonNullDateColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readNonNullLongColumnAsDate(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
} else {
- readDateColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ readLongColumnAsDate(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
}
break;
case TIMESTAMP:
if (vector.noNulls) {
- readNonNullTimestampColumn(rows, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount);
+ readNonNullTimestampColumn(vals, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount);
} else {
- readTimestampColumn(rows, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount);
+ readTimestampColumn(vals, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount);
}
break;
case BINARY:
if (vector.noNulls) {
- readNonNullBinaryColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
+ readNonNullBytesColumnAsBinary(vals, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
} else {
- readBinaryColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
+ readBytesColumnAsBinary(vals, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
}
break;
case DECIMAL:
if (vector.noNulls) {
- readNonNullDecimalColumn(rows, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount);
- }
- else {
- readDecimalColumn(rows, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount);
+ readNonNullDecimalColumn(vals, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount);
+ } else {
+ readDecimalColumn(vals, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount);
}
break;
case STRUCT:
if (vector.noNulls) {
- readNonNullStructColumn(rows, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount);
+ readNonNullStructColumn(vals, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount);
} else {
- readStructColumn(rows, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount);
+ readStructColumn(vals, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount);
}
break;
case LIST:
if (vector.noNulls) {
- readNonNullListColumn(rows, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount);
- }
- else {
- readListColumn(rows, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount);
+ readNonNullListColumn(vals, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount);
+ } else {
+ readListColumn(vals, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount);
}
break;
case MAP:
if (vector.noNulls) {
- readNonNullMapColumn(rows, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount);
- }
- else {
- readMapColumn(rows, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount);
+ readNonNullMapColumn(vals, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount);
+ } else {
+ readMapColumn(vals, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount);
}
break;
case UNION:
@@ -254,1870 +273,1013 @@ public class OrcUtils {
}
}
- private static void readNonNullBooleanColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+ private static <T> void readNonNullLongColumn(Object[] vals, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount,
+ LongFunction<T> reader, IntFunction<T[]> array) {
- // check if boolean is directly in a list or not, e.g, array<boolean>
+ // check if the values need to be read into lists or as single values
if (lengthVector == null) {
if (vector.isRepeating) { // fill complete column with first value
- boolean repeatingValue = vector.vector[0] != 0;
- fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ T repeatingValue = reader.apply(vector.vector[0]);
+ fillColumnWithRepeatingValue(vals, fieldIdx, repeatingValue, childCount);
} else {
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
- rows[i] = vector.vector[i] != 0;
+ vals[i] = reader.apply(vector.vector[i]);
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, vector.vector[i] != 0);
+ rows[i].setField(fieldIdx, reader.apply(vector.vector[i]));
}
}
}
} else { // in a list
- boolean[] temp;
+ T[] temp;
int offset = 0;
if (vector.isRepeating) { // fill complete list with first value
- boolean repeatingValue = vector.vector[0] != 0;
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new boolean[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new boolean[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
+ T repeatingValue = reader.apply(vector.vector[0]);
+ for (int i = 0; offset < childCount; i++) {
+ temp = array.apply((int) lengthVector[i]);
+ Arrays.fill(temp, repeatingValue);
+ offset += temp.length;
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
} else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new boolean[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = vector.vector[offset++] != 0;
- }
- rows[i] = temp;
+ for (int i = 0; offset < childCount; i++) {
+ temp = array.apply((int) lengthVector[i]);
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = reader.apply(vector.vector[offset++]);
}
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new boolean[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = vector.vector[offset++] != 0;
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
}
- private static void readNonNullByteColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+ private static <T> void readNonNullDoubleColumn(Object[] vals, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount,
+ DoubleFunction<T> reader, IntFunction<T[]> array) {
- // check if byte is directly in a list or not, e.g, array<byte>
+ // check if the values need to be read into lists or as single values
if (lengthVector == null) {
if (vector.isRepeating) { // fill complete column with first value
- byte repeatingValue = (byte) vector.vector[0];
- fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ T repeatingValue = reader.apply(vector.vector[0]);
+ fillColumnWithRepeatingValue(vals, fieldIdx, repeatingValue, childCount);
} else {
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
- rows[i] = (byte) vector.vector[i];
+ vals[i] = reader.apply(vector.vector[i]);
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, (byte) vector.vector[i]);
+ rows[i].setField(fieldIdx, reader.apply(vector.vector[i]));
}
}
}
} else { // in a list
- byte[] temp;
+ T[] temp;
int offset = 0;
if (vector.isRepeating) { // fill complete list with first value
- byte repeatingValue = (byte) vector.vector[0];
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new byte[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new byte[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
+ T repeatingValue = reader.apply(vector.vector[0]);
+ for (int i = 0; offset < childCount; i++) {
+ temp = array.apply((int) lengthVector[i]);
+ Arrays.fill(temp, repeatingValue);
+ offset += temp.length;
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
} else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new byte[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = (byte) vector.vector[offset++];
- }
- rows[i] = temp;
+ for (int i = 0; offset < childCount; i++) {
+ temp = array.apply((int) lengthVector[i]);
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = reader.apply(vector.vector[offset++]);
}
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new byte[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = (byte) vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
}
- private static void readNonNullShortColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
-
- // check if short is directly in a list or not, e.g, array<short>
+ private static void readNonNullBytesColumnAsString(Object[] vals, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) {
+ // check if the values need to be read into lists or as single values
if (lengthVector == null) {
- if (vector.isRepeating) { // fill complete column with first value
- short repeatingValue = (short) vector.vector[0];
- fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ if (bytes.isRepeating) { // fill complete column with first value
+ String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0]);
+ fillColumnWithRepeatingValue(vals, fieldIdx, repeatingValue, childCount);
} else {
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
- rows[i] = (short) vector.vector[i];
+ vals[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i], StandardCharsets.UTF_8);
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, (short) vector.vector[i]);
+ rows[i].setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i], StandardCharsets.UTF_8));
}
}
}
- } else { // in a list
- short[] temp;
+ } else {
+ String[] temp;
int offset = 0;
- if (vector.isRepeating) { // fill complete list with first value
- short repeatingValue = (short) vector.vector[0];
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new short[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new short[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
+ if (bytes.isRepeating) { // fill complete list with first value
+ String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0], StandardCharsets.UTF_8);
+ for (int i = 0; offset < childCount; i++) {
+ temp = new String[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ offset += temp.length;
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
} else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new short[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = (short) vector.vector[offset++];
- }
- rows[i] = temp;
+ for (int i = 0; offset < childCount; i++) {
+ temp = new String[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset], StandardCharsets.UTF_8);
+ offset++;
}
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new short[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = (short) vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
}
- private static void readNonNullIntColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
-
- // check if int is directly in a list or not, e.g, array<int>
+ private static void readNonNullBytesColumnAsBinary(Object[] vals, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) {
+ // check if the values need to be read into lists or as single values
if (lengthVector == null) {
- if (vector.isRepeating) { // fill complete column with first value
- int repeatingValue = (int) vector.vector[0];
- fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ if (bytes.isRepeating) { // fill complete column with first value
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ // don't reuse repeating val to avoid object mutation
+ vals[i] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]);
+ }
+ } else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
+ for (int i = 0; i < childCount; i++) {
+ // don't reuse repeating val to avoid object mutation
+ rows[i].setField(fieldIdx, readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]));
+ }
+ }
} else {
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
- rows[i] = (int) vector.vector[i];
+ vals[i] = readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]);
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, (int) vector.vector[i]);
+ rows[i].setField(fieldIdx, readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]));
}
}
}
- } else { // in a list
- int[] temp;
+ } else {
+ byte[][] temp;
int offset = 0;
- if (vector.isRepeating) { // fill complete list with first value
- int repeatingValue = (int) vector.vector[0];
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new int[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new int[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
+ if (bytes.isRepeating) { // fill complete list with first value
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]][];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]);
+ }
+ offset += temp.length;
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
} else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new int[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = (int) vector.vector[offset++];
- }
- rows[i] = temp;
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]][];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ offset++;
}
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new int[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = (int) vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
}
- private static void readNonNullLongColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+ private static void readNonNullLongColumnAsDate(Object[] vals, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
- // check if long is directly in a list or not, e.g, array<long>
+ // check if the values need to be read into lists or as single values
if (lengthVector == null) {
if (vector.isRepeating) { // fill complete column with first value
- long repeatingValue = vector.vector[0];
- fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ // do not reuse repeated value due to mutability of Date
+ vals[i] = readDate(vector.vector[0]);
+ }
+ } else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
+ for (int i = 0; i < childCount; i++) {
+ // do not reuse repeated value due to mutability of Date
+ rows[i].setField(fieldIdx, readDate(vector.vector[0]));
+ }
+ }
} else {
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
- rows[i] = vector.vector[i];
+ vals[i] = readDate(vector.vector[i]);
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, (Long) vector.vector[i]);
+ rows[i].setField(fieldIdx, readDate(vector.vector[i]));
}
}
}
} else { // in a list
- long[] temp;
+ Date[] temp;
int offset = 0;
if (vector.isRepeating) { // fill complete list with first value
- long repeatingValue = vector.vector[0];
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new long[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new long[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Date[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readDate(vector.vector[0]);
+ }
+ offset += temp.length;
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
} else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new long[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = vector.vector[offset++];
- }
- rows[i] = temp;
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Date[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readDate(vector.vector[offset++]);
}
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new long[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
}
- private static void readNonNullFloatColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) {
+ private static void readNonNullTimestampColumn(Object[] vals, int fieldIdx, TimestampColumnVector vector, long[] lengthVector, int childCount) {
- // check if float is directly in a list or not, e.g, array<float>
+ // check if the timestamps need to be read into lists or as single values
if (lengthVector == null) {
if (vector.isRepeating) { // fill complete column with first value
- float repeatingValue = (float) vector.vector[0];
- fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ // do not reuse value to prevent object mutation
+ vals[i] = readTimestamp(vector.time[0], vector.nanos[0]);
+ }
+ } else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
+ for (int i = 0; i < childCount; i++) {
+ // do not reuse value to prevent object mutation
+ rows[i].setField(fieldIdx, readTimestamp(vector.time[0], vector.nanos[0]));
+ }
+ }
} else {
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
- rows[i] = (float) vector.vector[i];
+ vals[i] = readTimestamp(vector.time[i], vector.nanos[i]);
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, (float) vector.vector[i]);
+ rows[i].setField(fieldIdx, readTimestamp(vector.time[i], vector.nanos[i]));
}
}
}
- } else { // in a list
- float[] temp;
+ } else {
+ Timestamp[] temp;
int offset = 0;
if (vector.isRepeating) { // fill complete list with first value
- float repeatingValue = (float) vector.vector[0];
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new float[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new float[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Timestamp[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ // do not reuse value to prevent object mutation
+ temp[j] = readTimestamp(vector.time[0], vector.nanos[0]);
+ }
+ offset += temp.length;
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
} else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new float[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = (float) vector.vector[offset++];
- }
- rows[i] = temp;
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Timestamp[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readTimestamp(vector.time[offset], vector.nanos[offset]);
+ offset++;
}
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new float[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = (float) vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
}
- private static void readNonNullDoubleColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) {
+ private static void readNonNullDecimalColumn(Object[] vals, int fieldIdx, DecimalColumnVector vector, long[] lengthVector, int childCount) {
- // check if double is directly in a list or not, e.g, array<double>
+ // check if the decimals need to be read into lists or as single values
if (lengthVector == null) {
if (vector.isRepeating) { // fill complete column with first value
- double repeatingValue = vector.vector[0];
- fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ fillColumnWithRepeatingValue(vals, fieldIdx, readBigDecimal(vector.vector[0]), childCount);
} else {
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
- rows[i] = vector.vector[i];
+ vals[i] = readBigDecimal(vector.vector[i]);
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, vector.vector[i]);
+ rows[i].setField(fieldIdx, readBigDecimal(vector.vector[i]));
}
}
}
- } else { // in a list
- double[] temp;
+ } else {
+ BigDecimal[] temp;
int offset = 0;
if (vector.isRepeating) { // fill complete list with first value
- double repeatingValue = vector.vector[0];
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new double[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new double[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
+ BigDecimal repeatingValue = readBigDecimal(vector.vector[0]);
+ for (int i = 0; offset < childCount; i++) {
+ temp = new BigDecimal[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ offset += temp.length;
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
} else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new double[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = vector.vector[offset++];
- }
- rows[i] = temp;
+ for (int i = 0; offset < childCount; i++) {
+ temp = new BigDecimal[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readBigDecimal(vector.vector[offset++]);
}
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new double[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
+
}
- private static void readNonNullStringColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) {
+ private static void readNonNullStructColumn(Object[] vals, int fieldIdx, StructColumnVector structVector, TypeDescription schema, long[] lengthVector, int childCount) {
+
+ List<TypeDescription> childrenTypes = schema.getChildren();
+
+ int numFields = childrenTypes.size();
+ // create a batch of Rows to read the structs
+ Row[] structs = new Row[childCount];
+ // TODO: possible improvement: reuse existing Row objects
+ for (int i = 0; i < childCount; i++) {
+ structs[i] = new Row(numFields);
+ }
+
+ // read struct fields
+ for (int i = 0; i < numFields; i++) {
+ readField(structs, i, childrenTypes.get(i), structVector.fields[i], null, childCount);
+ }
- // check if string is directly in a list or not, e.g, array<string>
+ // check if the structs need to be read into lists or as single values
if (lengthVector == null) {
- if (bytes.isRepeating) { // fill complete column with first value
- String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0]);
- fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
- } else {
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- rows[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i]);
- }
- } else { // set as a field of Row
- for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i]));
- }
+ if (fieldIdx == -1) { // set struct as an object
+ System.arraycopy(structs, 0, vals, 0, childCount);
+ } else { // set struct as a field of Row
+ Row[] rows = (Row[]) vals;
+ for (int i = 0; i < childCount; i++) {
+ rows[i].setField(fieldIdx, structs[i]);
}
}
- }
- else { // in a list
- String[] temp;
+ } else { // struct in a list
int offset = 0;
- if (bytes.isRepeating) { // fill list with first value
- String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0]);
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; i < childCount; i++) {
- temp = new String[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field
- for (int i = 0; i < childCount; i++) {
- temp = new String[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
- }
+ Row[] temp;
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Row[(int) lengthVector[i]];
+ System.arraycopy(structs, offset, temp, 0, temp.length);
+ offset = offset + temp.length;
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
- } else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new String[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
- offset++;
- }
- rows[i] = temp;
- }
- } else { // set list as a field
- for (int i = 0; offset < childCount; i++) {
- temp = new String[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
- offset++;
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
+ }
+ }
+ }
+
+ private static void readNonNullListColumn(Object[] vals, int fieldIdx, ListColumnVector list, TypeDescription schema, long[] lengthVector, int childCount) {
+
+ TypeDescription fieldType = schema.getChildren().get(0);
+ // check if the list need to be read into lists or as single values
+ if (lengthVector == null) {
+ long[] lengthVectorNested = list.lengths;
+ readField(vals, fieldIdx, fieldType, list.child, lengthVectorNested, list.childCount);
+ } else { // list in a list
+ Object[] nestedLists = new Object[childCount];
+ // length vector for nested list
+ long[] lengthVectorNested = list.lengths;
+ // read nested list
+ readField(nestedLists, -1, fieldType, list.child, lengthVectorNested, list.childCount);
+ // get type of nestedList
+ Class<?> classType = nestedLists[0].getClass();
+
+ // fill outer list with nested list
+ int offset = 0;
+ int length;
+ for (int i = 0; offset < childCount; i++) {
+ length = (int) lengthVector[i];
+ Object[] temp = (Object[]) Array.newInstance(classType, length);
+ System.arraycopy(nestedLists, offset, temp, 0, length);
+ offset = offset + length;
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
+ }
+
+ private static void readNonNullMapColumn(Object[] vals, int fieldIdx, MapColumnVector mapsVector, TypeDescription schema, long[] lengthVector, int childCount) {
+
+ List<TypeDescription> fieldType = schema.getChildren();
+ TypeDescription keyType = fieldType.get(0);
+ TypeDescription valueType = fieldType.get(1);
+
+ ColumnVector keys = mapsVector.keys;
+ ColumnVector values = mapsVector.values;
+ Object[] keyRows = new Object[mapsVector.childCount];
+ Object[] valueRows = new Object[mapsVector.childCount];
+
+ // read map keys and values
+ readField(keyRows, -1, keyType, keys, null, keyRows.length);
+ readField(valueRows, -1, valueType, values, null, valueRows.length);
+
+ // check if the maps need to be read into lists or as single values
+ if (lengthVector == null) {
+ long[] lengthVectorMap = mapsVector.lengths;
+ int offset = 0;
+
+ for (int i = 0; i < childCount; i++) {
+ long numMapEntries = lengthVectorMap[i];
+ HashMap map = readHashMap(keyRows, valueRows, offset, numMapEntries);
+ offset += numMapEntries;
+
+ if (fieldIdx == -1) {
+ vals[i] = map;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, map);
+ }
+ }
+ } else { // list of map
+
+ long[] lengthVectorMap = mapsVector.lengths;
+ int mapOffset = 0; // offset of map element
+ int offset = 0; // offset of map
+ HashMap[] temp;
+ for (int i = 0; offset < childCount; i++) {
+ temp = new HashMap[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ long numMapEntries = lengthVectorMap[offset];
+ temp[j] = readHashMap(keyRows, valueRows, mapOffset, numMapEntries);
+ mapOffset += numMapEntries;
+ offset++;
+ }
+ if (fieldIdx == 1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
}
- private static void readNonNullDateColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+ private static <T> void readLongColumn(Object[] vals, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount,
+ LongFunction<T> reader, IntFunction<T[]> array) {
- // check if date is directly in a list or not, e.g, array<date>
+ // check if the values need to be read into lists or as single values
if (lengthVector == null) {
if (vector.isRepeating) { // fill complete column with first value
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- rows[i] = readDate(vector.vector[0]);
- }
- } else { // set as a field of Row
- for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[0]));
- }
- }
+ // since the column contains null values and has just one distinct value, the repeated value is null
+ fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount);
} else {
+ boolean[] isNullVector = vector.isNull;
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
- rows[i] = readDate(vector.vector[i]);
+ if (isNullVector[i]) {
+ vals[i] = null;
+ } else {
+ vals[i] = reader.apply(vector.vector[i]);
+ }
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[i]));
- }
- }
- }
- } else {
- Date[] temp;
- int offset = 0;
- if (vector.isRepeating) { // fill complete list with first value
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new Date[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readDate(vector.vector[0]);
- }
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new Date[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readDate(vector.vector[0]);
+ if (isNullVector[i]) {
+ rows[i].setField(fieldIdx, null);
+ } else {
+ rows[i].setField(fieldIdx, reader.apply(vector.vector[i]));
}
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
}
}
+ }
+ } else { // in a list
+ if (vector.isRepeating) { // // fill complete list with first value
+ // since the column contains null values and has just one distinct value, the repeated value is null
+ fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, array);
} else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new Date[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readDate(vector.vector[offset++]);
+ // column contain null values
+ int offset = 0;
+ T[] temp;
+ boolean[] isNullVector = vector.isNull;
+ for (int i = 0; offset < childCount; i++) {
+ temp = array.apply((int) lengthVector[i]);
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ } else {
+ temp[j] = reader.apply(vector.vector[offset++]);
}
- rows[i] = temp;
}
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new Date[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readDate(vector.vector[offset++]);
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
}
- private static void readNonNullTimestampColumn(Object[] rows, int fieldIdx, TimestampColumnVector vector, long[] lengthVector, int childCount) {
+ private static <T> void readDoubleColumn(Object[] vals, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount,
+ DoubleFunction<T> reader, IntFunction<T[]> array) {
- // check if timestamp is directly in a list or not, e.g, array<timestamp>
+ // check if the values need to be read into lists or as single values
if (lengthVector == null) {
if (vector.isRepeating) { // fill complete column with first value
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- rows[i] = readTimeStamp(vector.time[0], vector.nanos[0]);
- }
- } else { // set as a field of Row
- for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, readTimeStamp(vector.time[0], vector.nanos[0]));
- }
- }
+ // since the column contains null values and has just one distinct value, the repeated value is null
+ fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount);
} else {
+ boolean[] isNullVector = vector.isNull;
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
- rows[i] = readTimeStamp(vector.time[i], vector.nanos[i]);
+ if (isNullVector[i]) {
+ vals[i] = null;
+ } else {
+ vals[i] = reader.apply(vector.vector[i]);
+ }
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, readTimeStamp(vector.time[i], vector.nanos[i]));
- }
- }
- }
- } else {
- Timestamp[] temp;
- int offset = 0;
- if (vector.isRepeating) { // fill complete list with first value
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new Timestamp[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readTimeStamp(vector.time[0], vector.nanos[0]);
- }
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new Timestamp[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readTimeStamp(vector.time[0], vector.nanos[0]);
+ if (isNullVector[i]) {
+ rows[i].setField(fieldIdx, null);
+ } else {
+ rows[i].setField(fieldIdx, reader.apply(vector.vector[i]));
}
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
}
}
+ }
+ } else { // in a list
+ if (vector.isRepeating) { // // fill complete list with first value
+ // since the column contains null values and has just one distinct value, the repeated value is null
+ fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, array);
} else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new Timestamp[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readTimeStamp(vector.time[offset], vector.nanos[offset]);
+ // column contain null values
+ int offset = 0;
+ T[] temp;
+ boolean[] isNullVector = vector.isNull;
+ for (int i = 0; offset < childCount; i++) {
+ temp = array.apply((int) lengthVector[i]);
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
offset++;
+ } else {
+ temp[j] = reader.apply(vector.vector[offset++]);
}
- rows[i] = temp;
}
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new Timestamp[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readTimeStamp(vector.time[offset], vector.nanos[offset]);
- offset++;
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
}
- private static void readNonNullBinaryColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) {
+ private static void readBytesColumnAsString(Object[] vals, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) {
- // check if string is directly in a list or not, e.g, array<string>
+ // check if the values need to be read into lists or as single values
if (lengthVector == null) {
if (bytes.isRepeating) { // fill complete column with first value
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- rows[i] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]);
- }
- } else { // set as a field of Row
- for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]));
- }
- }
- } else {
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- rows[i] = readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]);
- }
- } else { // set as a field of Row
- for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]));
- }
- }
- }
- } else {
- byte[][] temp;
- int offset = 0;
- if (bytes.isRepeating) { // fill complete list with first value
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new byte[(int) lengthVector[i]][];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]);
- }
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field
- for (int i = 0; offset < childCount; i++) {
- temp = new byte[(int) lengthVector[i]][];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]);
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
- }
- }
- } else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new byte[(int) lengthVector[i]][];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
- offset++;
- }
- rows[i] = temp;
- }
- } else { // set list as a field
- for (int i = 0; offset < childCount; i++) {
- temp = new byte[(int) lengthVector[i]][];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
- offset++;
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
- }
-
- }
-
- private static void readNonNullDecimalColumn(Object[] rows, int fieldIdx, DecimalColumnVector vector, long[] lengthVector, int childCount) {
-
- // check if decimal is directly in a list or not, e.g, array<decimal>
- if (lengthVector == null) {
- if (vector.isRepeating) { // fill complete column with first value
- fillColumnWithRepeatingValue(rows, fieldIdx, readBigDecimal(vector.vector[0]), childCount);
- } else {
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- rows[i] = readBigDecimal(vector.vector[i]);
- }
- } else { // set as a field of Row
- for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, readBigDecimal(vector.vector[i]));
- }
- }
- }
- } else {
- BigDecimal[] temp;
- int offset = 0;
- if (vector.isRepeating) { // fill complete list with first value
- BigDecimal repeatingValue = readBigDecimal(vector.vector[0]);
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new BigDecimal[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- rows[i] = temp;
- offset += temp.length;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new BigDecimal[(int) lengthVector[i]];
- Arrays.fill(temp, repeatingValue);
- ((Row) rows[i]).setField(fieldIdx, temp);
- offset += temp.length;
- }
- }
- } else {
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new BigDecimal[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readBigDecimal(vector.vector[offset++]);
- }
- rows[i] = temp;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new BigDecimal[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readBigDecimal(vector.vector[offset++]);
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
- }
-
- }
-
- private static void readNonNullStructColumn(Object[] rows, int fieldIdx, StructColumnVector struct, TypeDescription schema, long[] lengthVector, int childCount) {
-
- List<TypeDescription> childrenTypes = schema.getChildren();
-
- int numChildren = childrenTypes.size();
- Row[] nestedFields = new Row[childCount];
- for (int i = 0; i < childCount; i++) {
- nestedFields[i] = new Row(numChildren);
- }
- for (int i = 0; i < numChildren; i++) {
- readField(nestedFields, i, childrenTypes.get(i), struct.fields[i], null, childCount);
- }
-
- // check if struct is directly in a list or not, e.g, array<struct<dt>>
- if (lengthVector == null) {
- if (fieldIdx == -1) { // set struct as an object
- System.arraycopy(nestedFields, 0, rows, 0, childCount);
- }
- else { // set struct as a field of Row
- for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, nestedFields[i]);
- }
- }
- }
- else { // struct in a list
- int offset = 0;
- Row[] temp;
- if (fieldIdx == -1) { // set list of struct as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new Row[(int) lengthVector[i]];
- System.arraycopy(nestedFields, offset, temp, 0, temp.length);
- offset = offset + temp.length;
- rows[i] = temp;
- }
- }
- else { // set list of struct as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new Row[(int) lengthVector[i]];
- System.arraycopy(nestedFields, offset, temp, 0, temp.length);
- offset = offset + temp.length;
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
- }
-
- private static void readNonNullListColumn(Object[] rows, int fieldIdx, ListColumnVector list, TypeDescription schema, long[] lengthVector, int childCount) {
-
- TypeDescription fieldType = schema.getChildren().get(0);
- if (lengthVector == null) {
- long[] lengthVectorNested = list.lengths;
- readField(rows, fieldIdx, fieldType, list.child, lengthVectorNested, list.childCount);
- }
- else { // list in a list
-
- Object[] nestedList = new Object[childCount];
-
- // length vector for nested list
- long[] lengthVectorNested = list.lengths;
-
- // read nested list
- readField(nestedList, -1, fieldType, list.child, lengthVectorNested, list.childCount);
-
- // get type of nestedList
- Class<?> classType = nestedList[0].getClass();
-
- // fill outer list with nested list
- int offset = 0;
- int length;
- if (fieldIdx == -1) { // set list of list as an object
- for (int i = 0; offset < childCount; i++) {
- length = (int) lengthVector[i];
- Object temp = Array.newInstance(classType, length);
- System.arraycopy(nestedList, offset, temp, 0, length);
- offset = offset + length;
- rows[i] = temp;
-
- }
- } else { // set list of list as an field on Row
- for (int i = 0; offset < childCount; i++) {
- length = (int) lengthVector[i];
- Object temp = Array.newInstance(classType, length);
- System.arraycopy(nestedList, offset, temp, 0, length);
- offset = offset + length;
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
-
- }
-
- private static void readNonNullMapColumn(Object[] rows, int fieldIdx, MapColumnVector map, TypeDescription schema, long[] lengthVector, int childCount) {
-
- List<TypeDescription> fieldType = schema.getChildren();
- TypeDescription keyType = fieldType.get(0);
- TypeDescription valueType = fieldType.get(1);
-
- ColumnVector keys = map.keys;
- ColumnVector values = map.values;
- Object[] keyRows = new Object[map.childCount];
- Object[] valueRows = new Object[map.childCount];
-
- // read map kes and values
- readField(keyRows, -1, keyType, keys, null, keyRows.length);
- readField(valueRows, -1, valueType, values, null, valueRows.length);
-
- // check if map is directly in a list or not, e.g, array<map<k,v>>
- if (lengthVector == null) {
- long[] lengthVectorMap = map.lengths;
- int offset = 0;
- if (fieldIdx == -1) {
- for (int i = 0; i < childCount; i++) {
- rows[i] = readHashMap(keyRows, valueRows, offset, lengthVectorMap[i]);
- offset += lengthVectorMap[i];
- }
- } else {
- for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, readHashMap(keyRows, valueRows, offset, lengthVectorMap[i]));
- offset += lengthVectorMap[i];
- }
- }
- } else { // list of map
-
- long[] lengthVectorMap = map.lengths;
- int mapOffset = 0; // offset of map element
- int offset = 0; // offset of map
- HashMap[] temp;
- if (fieldIdx == -1) { // set map list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new HashMap[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]);
- mapOffset += lengthVectorMap[offset];
- offset++;
- }
- rows[i] = temp;
- }
- } else { // set map list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new HashMap[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]);
- mapOffset += lengthVectorMap[offset];
- offset++;
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
- }
-
- private static void fillColumnWithRepeatingValue(Object[] rows, int fieldIdx, Object repeatingValue, int childCount) {
-
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- rows[i] = repeatingValue;
- }
- } else { // set as a field of Row
- for (int i = 0; i < childCount; i++) {
- ((Row) rows[i]).setField(fieldIdx, repeatingValue);
- }
- }
- }
-
- private static void fillListWithRepeatingNull(Object[] rows, int fieldIdx, Class<?> classType, long[] lengthVector, int childCount) {
-
- int length;
- if (fieldIdx == -1) {
- for (int i = 0; i < childCount; i++) {
- length = (int) lengthVector[i];
- Object temp = Array.newInstance(classType, length);
- rows[i] = temp;
- }
- } else {
- for (int i = 0; i < childCount; i++) {
- length = (int) lengthVector[i];
- Object temp = Array.newInstance(classType, length);
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
-
- private static void readBooleanColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
-
- // check if data type(dt) is directly in list or not, e.g, array<dt>
- if (lengthVector == null) {
- if (vector.isRepeating) { // fill complete column with first value
- // Also column contains null value and it's repeating
- fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
- } else {
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- rows[i] = null;
- continue;
- }
- rows[i] = vector.vector[i] != 0;
- }
- } else { // set as a field of Row
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- ((Row) rows[i]).setField(fieldIdx, null);
- continue;
- }
- ((Row) rows[i]).setField(fieldIdx, vector.vector[i] != 0);
- }
- }
- }
- } else { // in a list
- if (vector.isRepeating) { // // fill complete list with first value
- // Also column contains null value and it's repeating
- // so all values are null, but we need to set list with null values
- fillListWithRepeatingNull(rows, fieldIdx, boolean[].class, lengthVector, childCount);
- } else {
- // column contain null values
- int offset = 0;
- boolean[] temp;
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new boolean[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = vector.vector[offset++] != 0;
- }
- rows[i] = temp;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new boolean[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = vector.vector[offset++] != 0;
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
- }
- }
-
- private static void readByteColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
-
- // check if data type(dt) is directly in list or not, e.g, array<dt>
- if (lengthVector == null) {
- if (vector.isRepeating) { // fill complete column with first value
- // Also column contains null value and it's repeating
- fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
- } else {
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- rows[i] = null;
- continue;
- }
- rows[i] = (byte) vector.vector[i];
- }
- } else { // set as a field of Row
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- ((Row) rows[i]).setField(fieldIdx, null);
- continue;
- }
- ((Row) rows[i]).setField(fieldIdx, (byte) vector.vector[i]);
- }
- }
- }
- } else { // in a list
- if (vector.isRepeating) { // // fill complete list with first value
- // Also column contains null value and it's repeating
- // so all values are null, but we need to set list with null values
- fillListWithRepeatingNull(rows, fieldIdx, byte[].class, lengthVector, childCount);
- } else {
- // column contain null values
- int offset = 0;
- byte[] temp;
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new byte[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = (byte) vector.vector[offset++];
- }
- rows[i] = temp;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new byte[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = (byte) vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
- }
- }
-
- private static void readShortColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
-
- // check if data type(dt) is directly in list or not, e.g, array<dt>
- if (lengthVector == null) {
- if (vector.isRepeating) { // fill complete column with first value
- // Also column contains null value and it's repeating
- fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
- } else {
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- rows[i] = null;
- continue;
- }
- rows[i] = (short) vector.vector[i];
- }
- } else { // set as field of Row
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- ((Row) rows[i]).setField(fieldIdx, null);
- continue;
- }
- ((Row) rows[i]).setField(fieldIdx, (short) vector.vector[i]);
- }
- }
- }
- } else { // in a list
- if (vector.isRepeating) { // // fill complete list with first value
- // Also column contains null value and it's repeating
- // so all values are null, but we need to set list with null values
- fillListWithRepeatingNull(rows, fieldIdx, short[].class, lengthVector, childCount);
- } else {
- // column contain null values
- int offset = 0;
- short[] temp;
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new short[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = (short) vector.vector[offset++];
- }
- rows[i] = temp;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new short[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = (short) vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
- }
- }
-
- private static void readIntColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
-
- // check if data type(dt) is directly in list or not, e.g, array<dt>
- if (lengthVector == null) {
- if (vector.isRepeating) { // fill complete column with first value
- // Also column contains null value and it's repeating
- fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
- } else {
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- rows[i] = null;
- continue;
- }
- rows[i] = (int) vector.vector[i];
- }
- } else { // set as a field of Row
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- ((Row) rows[i]).setField(fieldIdx, null);
- continue;
- }
- ((Row) rows[i]).setField(fieldIdx, (int) vector.vector[i]);
- }
- }
- }
- } else { // in a list
- if (vector.isRepeating) { // // fill complete list with first value
- // Also column contains null value and it's repeating
- // so all values are null, but we need to set list with null values
- fillListWithRepeatingNull(rows, fieldIdx, int[].class, lengthVector, childCount);
- } else {
- // column contain null values
- int offset = 0;
- int[] temp;
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new int[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = (int) vector.vector[offset++];
- }
- rows[i] = temp;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new int[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = (int) vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
- }
- }
-
- private static void readLongColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
-
- // check if data type(dt) is directly in list or not, e.g, array<dt>
- if (lengthVector == null) {
- if (vector.isRepeating) { // fill complete column with first value
- // Also column contains null value and it's repeating
- fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
- } else {
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- rows[i] = null;
- continue;
- }
- rows[i] = vector.vector[i];
- }
- } else { // set as a field of Row
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- ((Row) rows[i]).setField(fieldIdx, null);
- continue;
- }
- ((Row) rows[i]).setField(fieldIdx, vector.vector[i]);
- }
- }
- }
- } else { // in a list
- if (vector.isRepeating) { // // fill complete list with first value
- // Also column contains null value and it's repeating
- // so all values are null, but we need to set list with null values
- fillListWithRepeatingNull(rows, fieldIdx, long[].class, lengthVector, childCount);
- } else {
- // column contain null values
- int offset = 0;
- long[] temp;
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new long[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = vector.vector[offset++];
- }
- rows[i] = temp;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new long[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
- }
- }
-
- private static void readFloatColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) {
-
- // check if data type(dt) is directly in list or not, e.g, array<dt>
- if (lengthVector == null) {
- if (vector.isRepeating) { // fill complete column with first value
- // Also column contains null value and it's repeating
- fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ // since the column contains null values and has just one distinct value, the repeated value is null
+ fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount);
} else {
- boolean[] isNullVector = vector.isNull;
+ boolean[] isNullVector = bytes.isNull;
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
if (isNullVector[i]) {
- rows[i] = null;
- continue;
+ vals[i] = null;
+ } else {
+ vals[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i]);
}
- rows[i] = (float) vector.vector[i];
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
if (isNullVector[i]) {
- ((Row) rows[i]).setField(fieldIdx, null);
- continue;
+ rows[i].setField(fieldIdx, null);
+ } else {
+ rows[i].setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i]));
}
- ((Row) rows[i]).setField(fieldIdx, (float) vector.vector[i]);
}
}
}
} else { // in a list
- if (vector.isRepeating) { // // fill complete list with first value
- // Also column contains null value and it's repeating
- // so all values are null, but we need to set list with null values
- fillListWithRepeatingNull(rows, fieldIdx, float[].class, lengthVector, childCount);
+ if (bytes.isRepeating) { // fill list with first value
+ // since the column contains null values and has just one distinct value, the repeated value is null
+ fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, OrcUtils::stringArray);
} else {
- // column contain null values
int offset = 0;
- float[] temp;
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new float[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = (float) vector.vector[offset++];
- }
- rows[i] = temp;
- }
- } else { // set list as a field of Row
- for (int i = 0; i < childCount; i++) {
- temp = new float[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = (float) vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
- }
- }
- }
- }
- }
-
- private static void readDoubleColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) {
-
- // check if data type(dt) is directly in list or not, e.g, array<dt>
- if (lengthVector == null) {
- if (vector.isRepeating) { // fill complete column with first value
- // Also column contains null value and it's repeating
- fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
- } else {
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set as an object
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- rows[i] = null;
- continue;
- }
- rows[i] = vector.vector[i];
- }
- } else { // set as field of Row
- for (int i = 0; i < childCount; i++) {
- if (isNullVector[i]) {
- ((Row) rows[i]).setField(fieldIdx, null);
- continue;
+ String[] temp;
+ boolean[] isNullVector = bytes.isNull;
+ for (int i = 0; offset < childCount; i++) {
+ temp = new String[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ } else {
+ temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ offset++;
}
- ((Row) rows[i]).setField(fieldIdx, vector.vector[i]);
}
- }
- }
- } else { // in a list
- if (vector.isRepeating) { // // fill complete list with first value
- // Also column contains null value and it's repeating
- // so all values are null, but we need to set list with null values
- fillListWithRepeatingNull(rows, fieldIdx, double[].class, lengthVector, childCount);
- } else {
- // column contain null values
- int offset = 0;
- double[] temp;
- boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new double[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = vector.vector[offset++];
- }
- rows[i] = temp;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new double[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- continue;
- }
- temp[j] = vector.vector[offset++];
- }
- ((Row) rows[i]).setField(fieldIdx, temp);
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
}
- private static void readStringColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) {
+ private static void readBytesColumnAsBinary(Object[] vals, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) {
- // check if string is directly in a list or not, e.g, array<string>
+ // check if the binary need to be read into lists or as single values
if (lengthVector == null) {
if (bytes.isRepeating) { // fill complete column with first value
- // Also column contains null value and it's repeating
- fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ // since the column contains null values and has just one distinct value, the repeated value is null
+ fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount);
} else {
boolean[] isNullVector = bytes.isNull;
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
if (isNullVector[i]) {
- rows[i] = null;
- continue;
+ vals[i] = null;
+ } else {
+ vals[i] = readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]);
}
- rows[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i]);
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
if (isNullVector[i]) {
- ((Row) rows[i]).setField(fieldIdx, null);
- continue;
+ rows[i].setField(fieldIdx, null);
+ } else {
+ rows[i].setField(fieldIdx, readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]));
}
- ((Row) rows[i]).setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i]));
}
}
}
- } else { // in a list
- if (bytes.isRepeating) { // fill list with first value
- // Also column contains null value and it's repeating
- // so all values are null, but we need to set list with null values
- fillListWithRepeatingNull(rows, fieldIdx, String[].class, lengthVector, childCount);
+ } else {
+ if (bytes.isRepeating) { // fill complete list with first value
+ // since the column contains null values and has just one distinct value, the repeated value is null
+ fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, OrcUtils::binaryArray);
} else {
int offset = 0;
- String[] temp;
+ byte[][] temp;
boolean[] isNullVector = bytes.isNull;
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new String[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- temp[j] = null;
- continue; // skip null value
- }
- temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]][];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
offset++;
- }
- rows[i] = temp;
- }
- } else { // set list as a field
- for (int i = 0; offset < childCount; i++) {
- temp = new String[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- temp[j] = null;
- continue; // skip null value
- }
- temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ } else {
+ temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
offset++;
}
- ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
-
}
- private static void readDateColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+ private static void readLongColumnAsDate(Object[] vals, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
- // check if date is directly in a list or not, e.g, array<date>
+ // check if the values need to be read into lists or as single values
if (lengthVector == null) {
if (vector.isRepeating) { // fill complete column with first value
- // Also column contains null value and it's repeating
- fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ // since the column contains null values and has just one distinct value, the repeated value is null
+ fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount);
} else {
boolean[] isNullVector = vector.isNull;
if (fieldIdx == -1) { // set as an object
for (int i = 0; i < childCount; i++) {
if (isNullVector[i]) {
- rows[i] = null;
- continue;
+ vals[i] = null;
+ } else {
+ vals[i] = readDate(vector.vector[i]);
}
- rows[i] = readDate(vector.vector[i]);
}
} else { // set as a field of Row
+ Row[] rows = (Row[]) vals;
for (int i = 0; i < childCount; i++) {
if (isNullVector[i]) {
- ((Row) rows[i]).setField(fieldIdx, null);
- continue;
+ rows[i].setField(fieldIdx, null);
+ } else {
+ rows[i].setField(fieldIdx, readDate(vector.vector[i]));
}
- ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[i]));
}
}
}
- } else {
- if (vector.isRepeating) { // fill complete list with first value
- // Also column contains null value and it's repeating
- // so all values are null, but we need to set list with null values
- fillListWithRepeatingNull(rows, fieldIdx, Date[].class, lengthVector, childCount);
+ } else { // in a list
+ if (vector.isRepeating) { // // fill complete list with first value
+ // since the column contains null values and has just one distinct value, the repeated value is null
+ fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, OrcUtils::dateArray);
} else {
+ // column contain null values
int offset = 0;
Date[] temp;
boolean[] isNullVector = vector.isNull;
- if (fieldIdx == -1) { // set list as an object
- for (int i = 0; offset < childCount; i++) {
- temp = new Date[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- temp[j] = null;
- continue;
- }
- temp[j] = readDate(vector.vector[offset++]);
- }
- rows[i] = temp;
- }
- } else { // set list as a field of Row
- for (int i = 0; offset < childCount; i++) {
- temp = new Date[(int) lengthVector[i]];
- for (int j = 0; j < temp.length; j++) {
- if (isNullVector[offset]) {
- offset++;
- temp[j] = null;
- continue;
- }
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Date[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ } else {
temp[j] = readDate(vector.vector[offset++]);
}
- ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ if (fieldIdx == -1) {
+ vals[i] = temp;
+ } else {
+ ((Row) vals[i]).setField(fieldIdx, temp);
}
}
}
}
-
}
-
<TRUNCATED>
[6/9] flink git commit: [FLINK-2170] [connectors] Add
OrcRowInputFormat and OrcTableSource.
Posted by fh...@apache.org.
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.dat
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.dat b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.dat
deleted file mode 100644
index 59b933d..0000000
--- a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.dat
+++ /dev/null
@@ -1,10000 +0,0 @@
-1900-05-05 12:34:56.1,1900-12-25
-1900-05-05 12:34:56.1001,1900-12-25
-1900-05-05 12:34:56.1002,1900-12-25
-1900-05-05 12:34:56.1003,1900-12-25
-1900-05-05 12:34:56.1004,1900-12-25
-1900-05-05 12:34:56.1005,1900-12-25
-1900-05-05 12:34:56.1006,1900-12-25
-1900-05-05 12:34:56.1007,1900-12-25
-1900-05-05 12:34:56.1008,1900-12-25
-1900-05-05 12:34:56.1009,1900-12-25
-1900-05-05 12:34:56.101,1900-12-25
-1900-05-05 12:34:56.1011,1900-12-25
-1900-05-05 12:34:56.1012,1900-12-25
-1900-05-05 12:34:56.1013,1900-12-25
-1900-05-05 12:34:56.1014,1900-12-25
-1900-05-05 12:34:56.1015,1900-12-25
-1900-05-05 12:34:56.1016,1900-12-25
-1900-05-05 12:34:56.1017,1900-12-25
-1900-05-05 12:34:56.1018,1900-12-25
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-1900-05-05 12:34:56.1025,1900-12-25
-1900-05-05 12:34:56.1026,1900-12-25
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<TRUNCATED>
[3/9] flink git commit: [FLINK-2170] [connectors] Add
OrcRowInputFormat and OrcTableSource.
Posted by fh...@apache.org.
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java
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diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java
new file mode 100644
index 0000000..0c9c549
--- /dev/null
+++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java
@@ -0,0 +1,241 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.orc;
+
+import org.apache.flink.api.common.io.FileInputFormat;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.java.typeutils.ResultTypeQueryable;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+import org.apache.flink.core.fs.FileInputSplit;
+import org.apache.flink.core.fs.Path;
+import org.apache.flink.types.Row;
+import org.apache.flink.util.Preconditions;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+import org.apache.orc.OrcConf;
+import org.apache.orc.OrcFile;
+import org.apache.orc.Reader;
+import org.apache.orc.RecordReader;
+import org.apache.orc.TypeDescription;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.IOException;
+import java.io.ObjectInputStream;
+import java.io.ObjectOutputStream;
+
+import static org.apache.flink.orc.OrcUtils.fillRows;
+
+/**
+ * InputFormat to read ORC data.
+ * For Optimization, reading is done in batch instead of a single row.
+ */
+public class RowOrcInputFormat
+ extends FileInputFormat<Row>
+ implements ResultTypeQueryable<Row> {
+
+ private static final Logger LOG = LoggerFactory.getLogger(RowOrcInputFormat.class);
+ private static final int BATCH_SIZE = 1024;
+
+ private org.apache.hadoop.conf.Configuration config;
+ private TypeDescription schema;
+ private int[] fieldMapping;
+
+ private transient RowTypeInfo rowType;
+ private transient RecordReader orcRowsReader;
+ private transient VectorizedRowBatch rowBatch;
+ private transient Row[] rows;
+
+ private transient int rowInBatch;
+
+ public RowOrcInputFormat(String path, String schemaString, Configuration orcConfig) {
+ this(path, TypeDescription.fromString(schemaString), orcConfig);
+ }
+
+ public RowOrcInputFormat(String path, TypeDescription orcSchema, Configuration orcConfig) {
+ super(new Path(path));
+ this.unsplittable = false;
+ this.schema = orcSchema;
+ this.rowType = (RowTypeInfo) OrcUtils.schemaToTypeInfo(schema);
+ this.config = orcConfig;
+
+ this.fieldMapping = new int[this.schema.getChildren().size()];
+ for (int i = 0; i < fieldMapping.length; i++) {
+ this.fieldMapping[i] = i;
+ }
+
+ }
+
+ public void setFieldMapping(int[] fieldMapping) {
+ this.fieldMapping = fieldMapping;
+ // adapt result type
+
+ TypeInformation[] fieldTypes = new TypeInformation[fieldMapping.length];
+ String[] fieldNames = new String[fieldMapping.length];
+ for (int i = 0; i < fieldMapping.length; i++) {
+ fieldTypes[i] = this.rowType.getTypeAt(fieldMapping[i]);
+ fieldNames[i] = this.rowType.getFieldNames()[fieldMapping[i]];
+ }
+ this.rowType = new RowTypeInfo(fieldTypes, fieldNames);
+ }
+
+ private boolean[] computeProjectionMask() {
+ boolean[] projectionMask = new boolean[schema.getMaximumId() + 1];
+ for (int inIdx : fieldMapping) {
+ TypeDescription fieldSchema = schema.getChildren().get(inIdx);
+ for (int i = fieldSchema.getId(); i <= fieldSchema.getMaximumId(); i++) {
+ projectionMask[i] = true;
+ }
+ }
+ return projectionMask;
+ }
+
+ @Override
+ public void openInputFormat() throws IOException {
+ super.openInputFormat();
+ this.rows = new Row[BATCH_SIZE];
+ for (int i = 0; i < BATCH_SIZE; i++) {
+ rows[i] = new Row(fieldMapping.length);
+ }
+ }
+
+ @Override
+ public void open(FileInputSplit fileSplit) throws IOException {
+
+ this.currentSplit = fileSplit;
+ Preconditions.checkArgument(this.splitStart == 0, "ORC files must be read from the start.");
+
+ if (LOG.isDebugEnabled()) {
+ LOG.debug("Opening ORC file " + fileSplit.getPath());
+ }
+
+ org.apache.hadoop.fs.Path hPath = new org.apache.hadoop.fs.Path(fileSplit.getPath().getPath());
+
+ Reader orcReader = OrcFile.createReader(hPath, OrcFile.readerOptions(config));
+
+ Reader.Options options = orcReader.options()
+ .range(fileSplit.getStart(), fileSplit.getLength())
+ .useZeroCopy(OrcConf.USE_ZEROCOPY.getBoolean(config))
+ .skipCorruptRecords(OrcConf.SKIP_CORRUPT_DATA.getBoolean(config))
+ .tolerateMissingSchema(OrcConf.TOLERATE_MISSING_SCHEMA.getBoolean(config));
+
+ options.include(computeProjectionMask());
+
+ // check that schema of file is as expected
+ if (!this.schema.equals(orcReader.getSchema())) {
+
+ throw new RuntimeException("Invalid schema for file at " + this.filePath +
+ " Expected:" + this.schema + " Actual: " + orcReader.getSchema());
+ }
+
+ this.orcRowsReader = orcReader.rows(options);
+
+ // assign ids
+ this.schema.getId();
+
+ this.rowBatch = schema.createRowBatch(BATCH_SIZE);
+ rowInBatch = 0;
+ }
+
+ @Override
+ public void close() throws IOException {
+
+ if (orcRowsReader != null) {
+ this.orcRowsReader.close();
+ }
+ this.orcRowsReader = null;
+
+ }
+
+ @Override
+ public void closeInputFormat() throws IOException {
+ this.rows = null;
+ this.rows = null;
+ this.schema = null;
+ this.rowBatch = null;
+ }
+
+ @Override
+ public boolean reachedEnd() throws IOException {
+ return !ensureBatch();
+ }
+
+ private boolean ensureBatch() throws IOException {
+
+ if (rowInBatch >= rowBatch.size) {
+ rowInBatch = 0;
+ boolean moreRows = orcRowsReader.nextBatch(rowBatch);
+
+ if (moreRows) {
+ // read rows
+ fillRows(rows, schema, rowBatch, fieldMapping);
+ }
+ return moreRows;
+ }
+
+ return true;
+ }
+
+ @Override
+ public Row nextRecord(Row reuse) throws IOException {
+ return rows[this.rowInBatch++];
+ }
+
+ @Override
+ public TypeInformation<Row> getProducedType() {
+ return rowType;
+ }
+
+ // --------------------------------------------------------------------------------------------
+ // Custom serialization methods
+ // --------------------------------------------------------------------------------------------
+
+ private void writeObject(ObjectOutputStream out) throws IOException {
+ this.config.write(out);
+ out.writeUTF(schema.toString());
+
+ out.writeInt(fieldMapping.length);
+ for (int f : fieldMapping) {
+ out.writeInt(f);
+ }
+
+ }
+
+ @SuppressWarnings("unchecked")
+ private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException {
+
+ org.apache.hadoop.conf.Configuration configuration = new org.apache.hadoop.conf.Configuration();
+ configuration.readFields(in);
+
+ if (this.config == null) {
+ this.config = configuration;
+ }
+ this.schema = TypeDescription.fromString(in.readUTF());
+
+ this.fieldMapping = new int[in.readInt()];
+ for (int i = 0; i < fieldMapping.length; i++) {
+ this.fieldMapping[i] = in.readInt();
+ }
+
+ }
+
+}
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java
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diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java
new file mode 100644
index 0000000..3de6ab3
--- /dev/null
+++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java
@@ -0,0 +1,142 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.orc;
+
+import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.java.DataSet;
+import org.apache.flink.api.java.ExecutionEnvironment;
+import org.apache.flink.api.java.typeutils.MapTypeInfo;
+import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+import org.apache.flink.table.api.Table;
+import org.apache.flink.table.api.TableEnvironment;
+import org.apache.flink.table.api.TableSchema;
+import org.apache.flink.table.api.java.BatchTableEnvironment;
+import org.apache.flink.test.util.MultipleProgramsTestBase;
+import org.apache.flink.types.Row;
+
+import org.hamcrest.CoreMatchers;
+import org.junit.Assert;
+import org.junit.Test;
+
+import java.net.URL;
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Tests for {@link OrcTableSource}.
+ */
+public class OrcTableSourceITCase extends MultipleProgramsTestBase {
+
+ private static final String TEST1_SCHEMA = "struct<boolean1:boolean,byte1:tinyint,short1:smallint,int1:int," +
+ "long1:bigint,float1:float,double1:double,bytes1:binary,string1:string," +
+ "middle:struct<list:array<struct<int1:int,string1:string>>>," +
+ "list:array<struct<int1:int,string1:string>>," +
+ "map:map<string,struct<int1:int,string1:string>>>";
+
+ private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc");
+
+
+ private static final String[] TEST1_DATA = new String[] {
+ "false,1,1024,65536,9223372036854775807,1.0,-15.0,[0, 1, 2, 3, 4],hi,[1,bye, 2,sigh],[3,good, 4,bad],{}",
+ "true,100,2048,65536,9223372036854775807,2.0,-5.0,[],bye,[1,bye, 2,sigh]," +
+ "[100000000,cat, -100000,in, 1234,hat],{chani=5,chani, mauddib=1,mauddib}" };
+
+ public OrcTableSourceITCase() {
+ super(TestExecutionMode.COLLECTION);
+ }
+
+ @Test
+ public void testOrcTableSource() throws Exception {
+
+ ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
+ BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env);
+
+ assert (test1URL != null);
+ OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA);
+
+ tEnv.registerTableSource("orcTable", orc);
+
+ String query = "Select * from orcTable";
+ Table t = tEnv.sql(query);
+
+ DataSet<Row> dataSet = tEnv.toDataSet(t, Row.class);
+ List<Row> records = dataSet.collect();
+
+ Assert.assertEquals(records.size(), 2);
+
+ List<String> actualRecords = new ArrayList<>();
+ for (Row record : records) {
+ Assert.assertEquals(record.getArity(), 12);
+ actualRecords.add(record.toString());
+ }
+
+ Assert.assertThat(actualRecords, CoreMatchers.hasItems(TEST1_DATA));
+ }
+
+ @Test
+ public void testOrcTableProjection() throws Exception {
+
+ ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
+ BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env);
+
+ assert(test1URL != null);
+ OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA);
+
+ tEnv.registerTableSource("orcTable", orc);
+
+ String query = "Select middle,list,map from orcTable";
+ Table t = tEnv.sql(query);
+
+ String[] colNames = new String[] {"middle", "list", "map"};
+
+ RowTypeInfo rowTypeInfo = new RowTypeInfo(
+ new TypeInformation[] {
+ BasicTypeInfo.INT_TYPE_INFO,
+ BasicTypeInfo.STRING_TYPE_INFO},
+ new String[] {"int1", "string1"});
+
+ RowTypeInfo structTypeInfo = new RowTypeInfo(
+ new TypeInformation[] {ObjectArrayTypeInfo.getInfoFor(rowTypeInfo)},
+ new String[] {"list"});
+
+ TypeInformation[] colTypes = new TypeInformation[] {
+ structTypeInfo,
+ ObjectArrayTypeInfo.getInfoFor(rowTypeInfo),
+ new MapTypeInfo(BasicTypeInfo.STRING_TYPE_INFO, rowTypeInfo)
+ };
+
+ TableSchema actualTableSchema = new TableSchema(colNames, colTypes);
+
+ Assert.assertArrayEquals(t.getSchema().getColumnNames(), colNames);
+ Assert.assertArrayEquals(t.getSchema().getTypes(), colTypes);
+ Assert.assertEquals(actualTableSchema.toString(), t.getSchema().toString());
+
+ DataSet<Row> dataSet = tEnv.toDataSet(t, Row.class);
+ List<Row> records = dataSet.collect();
+
+ Assert.assertEquals(records.size(), 2);
+ for (Row record: records) {
+ Assert.assertEquals(record.getArity(), 3);
+ }
+
+ }
+
+}
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java
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diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java
new file mode 100644
index 0000000..c285054
--- /dev/null
+++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java
@@ -0,0 +1,113 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.orc;
+
+import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
+import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.java.ExecutionEnvironment;
+import org.apache.flink.api.java.typeutils.MapTypeInfo;
+import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+import org.apache.flink.table.api.Table;
+import org.apache.flink.table.api.TableEnvironment;
+import org.apache.flink.table.api.TableSchema;
+import org.apache.flink.table.api.java.BatchTableEnvironment;
+
+import org.junit.Assert;
+import org.junit.Test;
+
+import java.net.URL;
+
+/**
+ * Unit Tests for {@link OrcTableSource}.
+ */
+public class OrcTableSourceTest {
+
+ private static final String TEST1_SCHEMA = "struct<boolean1:boolean,byte1:tinyint,short1:smallint,int1:int," +
+ "long1:bigint,float1:float,double1:double,bytes1:binary,string1:string," +
+ "middle:struct<list:array<struct<int1:int,string1:string>>>," +
+ "list:array<struct<int1:int,string1:string>>," +
+ "map:map<string,struct<int1:int,string1:string>>>";
+
+ private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc");
+
+ @Test
+ public void testOrcSchema() throws Exception {
+
+ assert(test1URL != null);
+ OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA);
+
+ String expectedSchema = "Row(boolean1: Boolean, byte1: Byte, short1: Short, int1: Integer, long1: Long, " +
+ "float1: Float, double1: Double, bytes1: byte[], string1: String, " +
+ "middle: Row(list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>), " +
+ "list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>, " +
+ "map: Map<String, Row(int1: Integer, string1: String)>)";
+
+ Assert.assertEquals(expectedSchema, orc.getReturnType().toString());
+
+ }
+
+ @Test
+ public void testOrcTableSchema() throws Exception {
+
+ ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
+ BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env);
+
+ assert(test1URL != null);
+ OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA);
+
+ tEnv.registerTableSource("orcTable", orc);
+ String query = "Select * from orcTable";
+ Table t = tEnv.sql(query);
+
+ String[] colNames = new String[] {
+ "boolean1", "byte1", "short1", "int1", "long1", "float1",
+ "double1", "bytes1", "string1", "list", "list0", "map"
+ };
+
+ RowTypeInfo rowTypeInfo = new RowTypeInfo(
+ new TypeInformation[] {
+ BasicTypeInfo.INT_TYPE_INFO,
+ BasicTypeInfo.STRING_TYPE_INFO},
+ new String[] {"int1", "string1"});
+
+ TypeInformation[] colTypes = new TypeInformation[] {
+ BasicTypeInfo.BOOLEAN_TYPE_INFO,
+ BasicTypeInfo.BYTE_TYPE_INFO,
+ BasicTypeInfo.SHORT_TYPE_INFO,
+ BasicTypeInfo.INT_TYPE_INFO,
+ BasicTypeInfo.LONG_TYPE_INFO,
+ BasicTypeInfo.FLOAT_TYPE_INFO,
+ BasicTypeInfo.DOUBLE_TYPE_INFO,
+ PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO,
+ BasicTypeInfo.STRING_TYPE_INFO,
+ ObjectArrayTypeInfo.getInfoFor(rowTypeInfo),
+ ObjectArrayTypeInfo.getInfoFor(rowTypeInfo),
+ new MapTypeInfo(BasicTypeInfo.STRING_TYPE_INFO, rowTypeInfo)
+ };
+ TableSchema expectedTableSchema = new TableSchema(colNames, colTypes);
+
+ Assert.assertArrayEquals(t.getSchema().getColumnNames(), colNames);
+ Assert.assertArrayEquals(t.getSchema().getTypes(), colTypes);
+ Assert.assertEquals(expectedTableSchema.toString(), t.getSchema().toString());
+
+ }
+
+}
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java
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diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java
new file mode 100644
index 0000000..60008a0
--- /dev/null
+++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java
@@ -0,0 +1,472 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.orc;
+
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.core.fs.FileInputSplit;
+import org.apache.flink.types.Row;
+
+import org.apache.hadoop.conf.Configuration;
+
+import org.junit.After;
+import org.junit.Assert;
+import org.junit.Test;
+
+import java.io.FileNotFoundException;
+import java.io.IOException;
+import java.net.URL;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+/**
+ * Tests for the {@link RowOrcInputFormat}.
+ */
+
+public class RowOrcInputFormatTest {
+
+ private RowOrcInputFormat rowOrcInputFormat;
+
+ @After
+ public void tearDown() throws IOException {
+ if (rowOrcInputFormat != null) {
+ rowOrcInputFormat.close();
+ rowOrcInputFormat.closeInputFormat();
+ }
+ rowOrcInputFormat = null;
+ }
+
+ private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc");
+
+ private static final String TEST1_SCHEMA = "struct<boolean1:boolean,byte1:tinyint,short1:smallint,int1:int," +
+ "long1:bigint,float1:float,double1:double,bytes1:binary,string1:string," +
+ "middle:struct<list:array<struct<int1:int,string1:string>>>," +
+ "list:array<struct<int1:int,string1:string>>," +
+ "map:map<string,struct<int1:int,string1:string>>>";
+
+ private static final String[] TEST1_DATA = new String[] {
+ "false,1,1024,65536,9223372036854775807,1.0,-15.0,[0, 1, 2, 3, 4],hi,[1,bye, 2,sigh],[3,good, 4,bad],{}",
+ "true,100,2048,65536,9223372036854775807,2.0,-5.0,[],bye,[1,bye, 2,sigh]," +
+ "[100000000,cat, -100000,in, 1234,hat],{chani=5,chani, mauddib=1,mauddib}" };
+
+ private static final String[] TEST1_PROJECTED_DATA = new String[] {
+ "{},[3,good, 4,bad],[1,bye, 2,sigh],hi,[0, 1, 2, 3, 4],-15.0,1.0,9223372036854775807,65536,1024,1,false",
+ "{chani=5,chani, mauddib=1,mauddib},[100000000,cat, -100000,in, 1234,hat],[1,bye, 2,sigh],bye," +
+ "[],-5.0,2.0,9223372036854775807,65536,2048,100,true" };
+
+ private static final String TEST1_INVALID_SCHEMA = "struct<boolean1:int,byte1:tinyint,short1:smallint,int1:int," +
+ "long1:bigint,float1:float,double1:double,bytes1:binary,string1:string," +
+ "middle:struct<list:array<struct<int1:int,string1:string>>>," +
+ "list:array<struct<int1:int,string1:string>>," +
+ "map:map<string,struct<int1:int,string1:string>>>";
+
+ @Test(expected = FileNotFoundException.class)
+ public void testInvalidPath() throws IOException{
+
+ rowOrcInputFormat = new RowOrcInputFormat("TestOrcFile.test2.orc", TEST1_SCHEMA, new Configuration());
+ rowOrcInputFormat.openInputFormat();
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+ rowOrcInputFormat.open(inputSplits[0]);
+
+ }
+
+ @Test(expected = RuntimeException.class)
+ public void testInvalidSchema() throws IOException{
+
+ assert(test1URL != null);
+ rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_INVALID_SCHEMA, new Configuration());
+ rowOrcInputFormat.openInputFormat();
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+ rowOrcInputFormat.open(inputSplits[0]);
+
+ }
+
+ @Test(expected = IndexOutOfBoundsException.class)
+ public void testInvalidProjection() throws IOException{
+
+ assert(test1URL != null);
+ rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration());
+ int[] projectionMask = {14};
+ rowOrcInputFormat.setFieldMapping(projectionMask);
+ }
+
+ @Test
+ public void testMajorDataTypes() throws IOException{
+
+ // test for boolean,byte,short,int,long,float,double,bytes,string,struct,list,map
+ assert(test1URL != null);
+ rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration());
+ rowOrcInputFormat.openInputFormat();
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+
+ Assert.assertEquals(inputSplits.length, 1);
+
+ Row row = null;
+ int count = 0;
+ for (FileInputSplit split : inputSplits) {
+ rowOrcInputFormat.open(split);
+ while (!rowOrcInputFormat.reachedEnd()) {
+ row = rowOrcInputFormat.nextRecord(row);
+ Assert.assertEquals(row.toString(), TEST1_DATA[count++]);
+ }
+ }
+ }
+
+ @Test
+ public void testProjection() throws IOException{
+
+ assert(test1URL != null);
+ rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration());
+ int[] projectionMask = {11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0};
+ rowOrcInputFormat.setFieldMapping(projectionMask);
+ rowOrcInputFormat.openInputFormat();
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+
+ Assert.assertEquals(inputSplits.length, 1);
+
+ Row row = null;
+ int count = 0;
+ for (FileInputSplit split : inputSplits) {
+ rowOrcInputFormat.open(split);
+ while (!rowOrcInputFormat.reachedEnd()) {
+ row = rowOrcInputFormat.nextRecord(row);
+ Assert.assertEquals(row.toString(), TEST1_PROJECTED_DATA[count++]);
+ }
+ }
+
+ }
+
+ @Test
+ public void testTimeStampAndDate() throws IOException{
+
+ URL expectedDataURL = getClass().getClassLoader().getResource("TestOrcFile.testDate1900.dat");
+ assert(expectedDataURL != null);
+ List<String> expectedTimeStampAndDate = Files.readAllLines(Paths.get(expectedDataURL.getPath()));
+
+ URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.testDate1900.orc");
+ assert(testInputURL != null);
+ String path = testInputURL.getPath();
+ String schema = "struct<time:timestamp,date:date>";
+ rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
+ rowOrcInputFormat.openInputFormat();
+
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+
+ Assert.assertEquals(inputSplits.length, 1);
+
+ List<Object> actualTimeStampAndDate = new ArrayList<>();
+
+ Row row = null;
+ int count = 0;
+ for (FileInputSplit split : inputSplits) {
+ rowOrcInputFormat.open(split);
+ while (!rowOrcInputFormat.reachedEnd()) {
+ row = rowOrcInputFormat.nextRecord(row);
+ count++;
+ if (count <= 10000) {
+ actualTimeStampAndDate.add(row.getField(0) + "," + row.getField(1));
+ }
+
+ }
+ }
+ Assert.assertEquals(count, 70000);
+ Assert.assertEquals(expectedTimeStampAndDate.size(), actualTimeStampAndDate.size());
+ Assert.assertEquals(expectedTimeStampAndDate.toString(), actualTimeStampAndDate.toString());
+
+ }
+
+ @Test
+ public void testDecimal() throws IOException{
+
+ URL expectedDataURL = getClass().getClassLoader().getResource("decimal.dat");
+ List<String> expectedDecimal = Files.readAllLines(Paths.get(expectedDataURL.getPath()));
+
+ URL testInputURL = getClass().getClassLoader().getResource("decimal.orc");
+ assert(testInputURL != null);
+ String path = testInputURL.getPath();
+ String schema = "struct<_col0:decimal(10,5)>";
+ rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
+ rowOrcInputFormat.openInputFormat();
+
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+
+ Assert.assertEquals(inputSplits.length, 1);
+
+ List<Object> actualDecimal = new ArrayList<>();
+
+ Row row = null;
+ for (FileInputSplit split : inputSplits) {
+ rowOrcInputFormat.open(split);
+ while (!rowOrcInputFormat.reachedEnd()) {
+ row = rowOrcInputFormat.nextRecord(row);
+ actualDecimal.add(row.getField(0));
+ }
+ }
+
+ Assert.assertEquals(expectedDecimal.size(), actualDecimal.size());
+ Assert.assertEquals(expectedDecimal.toString(), actualDecimal.toString());
+
+ }
+
+ @Test
+ public void testEmptyFile() throws IOException{
+
+ URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.emptyFile.orc");
+ assert(testInputURL != null);
+ String path = testInputURL.getPath();
+
+ rowOrcInputFormat = new RowOrcInputFormat(path, TEST1_SCHEMA, new Configuration());
+ rowOrcInputFormat.openInputFormat();
+
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+
+ Assert.assertEquals(inputSplits.length, 1);
+
+ Row row = new Row(1);
+ int count = 0;
+ for (FileInputSplit split : inputSplits) {
+ rowOrcInputFormat.open(split);
+ while (!rowOrcInputFormat.reachedEnd()) {
+ row = rowOrcInputFormat.nextRecord(row);
+ count++;
+ }
+ }
+
+ Assert.assertEquals(count, 0);
+ }
+
+ @Test
+ public void testLargeFile() throws IOException{
+
+ URL testInputURL = getClass().getClassLoader().getResource("demo-11-none.orc");
+ assert(testInputURL != null);
+ String path = testInputURL.getPath();
+ String schema = "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int," +
+ "_col5:string,_col6:int,_col7:int,_col8:int>";
+
+ rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
+ rowOrcInputFormat.openInputFormat();
+
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+
+ Assert.assertEquals(inputSplits.length, 1);
+
+ Row row = new Row(1);
+ int count = 0;
+ for (FileInputSplit split : inputSplits) {
+ rowOrcInputFormat.open(split);
+ while (!rowOrcInputFormat.reachedEnd()) {
+ row = rowOrcInputFormat.nextRecord(row);
+ count++;
+ }
+ }
+
+ Assert.assertEquals(count, 1920800);
+ }
+
+ @Test
+ public void testProducedType() throws IOException{
+
+ assert(test1URL != null);
+ rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration());
+ rowOrcInputFormat.openInputFormat();
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+
+ Assert.assertEquals(inputSplits.length, 1);
+
+ rowOrcInputFormat.open(inputSplits[0]);
+
+ TypeInformation<Row> type = rowOrcInputFormat.getProducedType();
+ Assert.assertEquals(type.toString(), "Row(boolean1: Boolean, byte1: Byte, short1: Short, int1: Integer," +
+ " long1: Long, float1: Float, double1: Double, bytes1: byte[], string1: String," +
+ " middle: Row(list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>)," +
+ " list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>," +
+ " map: Map<String, Row(int1: Integer, string1: String)>)");
+
+ }
+
+ @Test
+ public void testProducedTypeWithProjection() throws IOException{
+
+ assert(test1URL != null);
+ rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration());
+ int[] projectionMask = {9, 10, 11};
+ rowOrcInputFormat.setFieldMapping(projectionMask);
+ rowOrcInputFormat.openInputFormat();
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+
+ Assert.assertEquals(inputSplits.length, 1);
+
+ rowOrcInputFormat.open(inputSplits[0]);
+
+ TypeInformation<Row> type = rowOrcInputFormat.getProducedType();
+ Assert.assertEquals(type.toString(), "Row(middle: Row(list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>)," +
+ " list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>," +
+ " map: Map<String, Row(int1: Integer, string1: String)>)");
+
+ }
+
+ @Test
+ public void testLongList() throws Exception {
+
+ URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.listlong.orc");
+ assert(testInputURL != null);
+ String path = testInputURL.getPath();
+ String schema = "struct<mylist1:array<bigint>>";
+
+ rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
+
+ rowOrcInputFormat.openInputFormat();
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+
+ Assert.assertEquals(inputSplits.length, 1);
+
+ Row row = null;
+ long count = 0;
+ for (FileInputSplit split : inputSplits) {
+ rowOrcInputFormat.open(split);
+ while (!rowOrcInputFormat.reachedEnd()) {
+ row = rowOrcInputFormat.nextRecord(row);
+ Assert.assertEquals(row.getArity(), 1);
+ Object object = row.getField(0);
+ long[] l = (long[]) object;
+
+ Assert.assertEquals(l.length, 2);
+ if (count < 50) {
+ Assert.assertArrayEquals(l, new long[]{count, count + 1});
+ }
+ else {
+ Assert.assertArrayEquals(l, new long[]{0L, 0L});
+ }
+ count = count + 2;
+ }
+ }
+ Assert.assertEquals(count, 100);
+ }
+
+ @Test
+ public void testStringList() throws Exception {
+
+ URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.liststring.orc");
+ assert(testInputURL != null);
+ String path = testInputURL.getPath();
+ String schema = "struct<mylist1:array<string>>";
+
+ rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
+
+ rowOrcInputFormat.openInputFormat();
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+
+ Assert.assertEquals(inputSplits.length, 1);
+
+ Row row = null;
+ long count = 0;
+ for (FileInputSplit split : inputSplits) {
+ rowOrcInputFormat.open(split);
+ while (!rowOrcInputFormat.reachedEnd()) {
+ row = rowOrcInputFormat.nextRecord(row);
+ Assert.assertEquals(row.getArity(), 1);
+ Object object = row.getField(0);
+ String[] l = (String[]) object;
+
+ Assert.assertEquals(l.length, 2);
+ Assert.assertArrayEquals(l, new String[]{"hello" + count, "hello" + (count + 1) });
+ count = count + 2;
+ }
+ }
+ Assert.assertEquals(count, 200);
+ }
+
+ @Test
+ public void testListOfListOfStructOfLong() throws Exception {
+ URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.listliststructlong.orc");
+ assert(testInputURL != null);
+ String path = testInputURL.getPath();
+ String schema = "struct<mylist1:array<array<struct<mylong1:bigint>>>>";
+
+ rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
+
+ rowOrcInputFormat.openInputFormat();
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+
+ Assert.assertEquals(inputSplits.length, 1);
+
+ Row row = null;
+ long count = 0;
+ for (FileInputSplit split : inputSplits) {
+ rowOrcInputFormat.open(split);
+ while (!rowOrcInputFormat.reachedEnd()) {
+
+ row = rowOrcInputFormat.nextRecord(row);
+ Assert.assertEquals(row.getArity(), 1);
+
+ Object[] objects = (Object[]) row.getField(0);
+ Assert.assertEquals(objects.length, 1);
+
+ Object[] objects1 = (Object[]) objects[0];
+ Assert.assertEquals(objects1.length, 1);
+
+ Row[] nestedRows = Arrays.copyOf(objects1, objects1.length, Row[].class);
+ Assert.assertEquals(nestedRows.length, 1);
+
+ Assert.assertEquals(nestedRows[0].getArity(), 1);
+
+ Assert.assertEquals(nestedRows[0].getField(0), count);
+
+ count++;
+ }
+ }
+ Assert.assertEquals(count, 100);
+ }
+
+ @Test
+ public void testSplit() throws IOException{
+
+ URL testInputURL = getClass().getClassLoader().getResource("demo-11-none.orc");
+ assert(testInputURL != null);
+ String path = testInputURL.getPath();
+ String schema = "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int," +
+ "_col5:string,_col6:int,_col7:int,_col8:int>";
+
+ rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
+ rowOrcInputFormat.openInputFormat();
+
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(10);
+
+ Assert.assertEquals(inputSplits.length, 10);
+
+ Row row = null;
+ int countTotalRecords = 0;
+ for (FileInputSplit split : inputSplits) {
+ rowOrcInputFormat.open(split);
+ int countSplitRecords = 0;
+ while (!rowOrcInputFormat.reachedEnd()) {
+ row = rowOrcInputFormat.nextRecord(row);
+ countSplitRecords++;
+ }
+ Assert.assertNotEquals(countSplitRecords, 1920800);
+ countTotalRecords += countSplitRecords;
+ }
+
+ Assert.assertEquals(countTotalRecords, 1920800);
+ }
+
+}
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc
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diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc
new file mode 100644
index 0000000..ecdadcb
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http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/resources/TestOrcFile.listliststructlong.orc
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diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.listliststructlong.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.listliststructlong.orc
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index 0000000..0f3f9c8
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http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/resources/TestOrcFile.listlong.orc
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diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.listlong.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.listlong.orc
new file mode 100644
index 0000000..648ea18
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http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/resources/TestOrcFile.liststring.orc
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diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.liststring.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.liststring.orc
new file mode 100644
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http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/resources/TestOrcFile.test1.orc
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diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.test1.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.test1.orc
new file mode 100644
index 0000000..4fb0bef
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[2/9] flink git commit: [FLINK-2170] [connectors] Add
OrcRowInputFormat and OrcTableSource.
Posted by fh...@apache.org.
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.dat
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diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.dat b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.dat
new file mode 100644
index 0000000..59b933d
--- /dev/null
+++ b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.dat
@@ -0,0 +1,10000 @@
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<TRUNCATED>
[9/9] flink git commit: [FLINK-2170] [connectors] Add
OrcRowInputFormat and OrcTableSource.
Posted by fh...@apache.org.
[FLINK-2170] [connectors] Add OrcRowInputFormat and OrcTableSource.
This closes #5043.
Project: http://git-wip-us.apache.org/repos/asf/flink/repo
Commit: http://git-wip-us.apache.org/repos/asf/flink/commit/200612ee
Tree: http://git-wip-us.apache.org/repos/asf/flink/tree/200612ee
Diff: http://git-wip-us.apache.org/repos/asf/flink/diff/200612ee
Branch: refs/heads/master
Commit: 200612ee0eaa42fdba141be138de172f86798f54
Parents: edbf8c9
Author: Fabian Hueske <fh...@apache.org>
Authored: Mon Nov 13 14:54:54 2017 +0100
Committer: Fabian Hueske <fh...@apache.org>
Committed: Wed Nov 22 23:11:30 2017 +0100
----------------------------------------------------------------------
docs/dev/table/sourceSinks.md | 49 +
flink-connectors/flink-orc/pom.xml | 89 +-
.../org/apache/flink/orc/OrcRowInputFormat.java | 745 ++
.../org/apache/flink/orc/OrcTableSource.java | 455 +-
.../java/org/apache/flink/orc/OrcUtils.java | 2379 ++--
.../org/apache/flink/orc/RowOrcInputFormat.java | 241 -
.../apache/flink/orc/OrcRowInputFormatTest.java | 795 ++
.../apache/flink/orc/OrcTableSourceITCase.java | 134 +-
.../apache/flink/orc/OrcTableSourceTest.java | 266 +-
.../java/org/apache/flink/orc/OrcUtilsTest.java | 148 +
.../apache/flink/orc/RowOrcInputFormatTest.java | 472 -
.../test/resources/TestOrcFile.emptyFile.orc | Bin 523 -> 0 bytes
.../TestOrcFile.listliststructlong.orc | Bin 845 -> 0 bytes
.../src/test/resources/TestOrcFile.listlong.orc | Bin 627 -> 0 bytes
.../test/resources/TestOrcFile.liststring.orc | Bin 1298 -> 0 bytes
.../src/test/resources/TestOrcFile.test1.orc | Bin 1711 -> 0 bytes
.../test/resources/TestOrcFile.testDate1900.dat | 10000 -----------------
.../test/resources/TestOrcFile.testDate1900.orc | Bin 30941 -> 0 bytes
.../flink-orc/src/test/resources/decimal.dat | 6000 ----------
.../flink-orc/src/test/resources/decimal.orc | Bin 16337 -> 0 bytes
.../src/test/resources/demo-11-none.orc | Bin 5147970 -> 0 bytes
.../src/test/resources/test-data-decimal.orc | Bin 0 -> 16337 bytes
.../src/test/resources/test-data-flat.orc | Bin 0 -> 408522 bytes
.../src/test/resources/test-data-nested.orc | Bin 0 -> 1711 bytes
.../src/test/resources/test-data-nestedlist.orc | Bin 0 -> 845 bytes
.../src/test/resources/test-data-timetypes.orc | Bin 0 -> 30941 bytes
.../flink/api/java/typeutils/RowTypeInfo.java | 17 +
.../logical/FlinkLogicalTableSourceScan.scala | 16 +-
.../table/plan/util/RexProgramExtractor.scala | 12 +
29 files changed, 3306 insertions(+), 18512 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/docs/dev/table/sourceSinks.md
----------------------------------------------------------------------
diff --git a/docs/dev/table/sourceSinks.md b/docs/dev/table/sourceSinks.md
index 0b4bdbe..7387358 100644
--- a/docs/dev/table/sourceSinks.md
+++ b/docs/dev/table/sourceSinks.md
@@ -47,6 +47,7 @@ A custom `TableSource` can be defined by implementing the `BatchTableSource` or
| `Kafka08AvroTableSource` | `flink-connector-kafka-0.8` | N | Y | A `TableSource` for Avro-encoded Kafka 0.8 topics.
| `Kafka08JsonTableSource` | `flink-connector-kafka-0.8` | N | Y | A `TableSource` for flat Json-encoded Kafka 0.8 topics.
| `CsvTableSource` | `flink-table` | Y | Y | A simple `TableSource` for CSV files.
+| `OrcTableSource` | `flink-orc` | Y | N | A `TableSource` for ORC files.
All sources that come with the `flink-table` dependency are directly available for Table API or SQL programs. For all other table sources, you have to add the respective dependency in addition to the `flink-table` dependency.
@@ -485,6 +486,54 @@ val csvTableSource = CsvTableSource
{% top %}
+### OrcTableSource
+
+The `OrcTableSource` reads [ORC files](https://orc.apache.org). ORC is a file format for structured data and stores the data in a compressed, columnar representation. ORC is very storage efficient and supports projection and filter push-down.
+
+An `OrcTableSource` is created as shown below:
+
+<div class="codetabs" markdown="1">
+<div data-lang="java" markdown="1">
+{% highlight java %}
+
+// create Hadoop Configuration
+Configuration config = new Configuration();
+
+OrcTableSource orcTableSource = OrcTableSource.builder()
+ // path to ORC file(s)
+ .path("file:///path/to/data")
+ // schema of ORC files
+ .forOrcSchema("struct<name:string,addresses:array<struct<street:string,zip:smallint>>>")
+ // Hadoop configuration
+ .withConfiguration(config)
+ // build OrcTableSource
+ .build();
+{% endhighlight %}
+</div>
+
+<div data-lang="scala" markdown="1">
+{% highlight scala %}
+
+// create Hadoop Configuration
+val config = new Configuration()
+
+val orcTableSource = OrcTableSource.builder()
+ // path to ORC file(s)
+ .path("file:///path/to/data")
+ // schema of ORC files
+ .forOrcSchema("struct<name:string,addresses:array<struct<street:string,zip:smallint>>>")
+ // Hadoop configuration
+ .withConfiguration(config)
+ // build OrcTableSource
+ .build()
+{% endhighlight %}
+</div>
+</div>
+
+**Note:** The `OrcTableSource` does not support ORC's `Union` type yet.
+
+{% top %}
+
Provided TableSinks
-------------------
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/pom.xml
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/pom.xml b/flink-connectors/flink-orc/pom.xml
index 1ac7eaa..3ee5e49 100644
--- a/flink-connectors/flink-orc/pom.xml
+++ b/flink-connectors/flink-orc/pom.xml
@@ -25,7 +25,7 @@ under the License.
<parent>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connectors</artifactId>
- <version>1.4-SNAPSHOT</version>
+ <version>1.5-SNAPSHOT</version>
<relativePath>..</relativePath>
</parent>
@@ -40,22 +40,39 @@ under the License.
<dependency>
<groupId>org.apache.flink</groupId>
- <artifactId>flink-table_${scala.binary.version}</artifactId>
+ <artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
<version>${project.version}</version>
- <scope>compile</scope>
+ <scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
- <artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
+ <artifactId>flink-table_${scala.binary.version}</artifactId>
<version>${project.version}</version>
- <scope>compile</scope>
+ <scope>provided</scope>
+ <!-- Projects depending on this project, won't depend on flink-table. -->
+ <optional>true</optional>
</dependency>
<dependency>
<groupId>org.apache.orc</groupId>
<artifactId>orc-core</artifactId>
- <version>1.4.0</version>
+ <version>1.4.1</version>
+ <exclusions>
+ <!-- Exclude ORC's Hadoop dependency and pull in Flink's shaded Hadoop. -->
+ <exclusion>
+ <groupId>org.apache.hadoop</groupId>
+ <artifactId>hadoop-common</artifactId>
+ </exclusion>
+ </exclusions>
+ </dependency>
+
+ <!-- Replacement for ORC's Hadoop dependency. -->
+ <dependency>
+ <groupId>org.apache.flink</groupId>
+ <artifactId>flink-shaded-hadoop2</artifactId>
+ <version>${project.version}</version>
+ <scope>provided</scope>
</dependency>
<!-- test dependencies -->
@@ -88,65 +105,7 @@ under the License.
<scope>test</scope>
<type>test-jar</type>
</dependency>
- </dependencies>
- <build>
-
- <pluginManagement>
- <plugins>
- <!--This plugin's configuration is used to store Eclipse m2e settings only. It has no influence on the Maven build itself.-->
- <plugin>
- <groupId>org.eclipse.m2e</groupId>
- <artifactId>lifecycle-mapping</artifactId>
- <version>1.0.0</version>
- <configuration>
- <lifecycleMappingMetadata>
- <pluginExecutions>
- <pluginExecution>
- <pluginExecutionFilter>
- <groupId>org.apache.maven.plugins</groupId>
- <artifactId>maven-assembly-plugin</artifactId>
- <versionRange>[2.4,)</versionRange>
- <goals>
- <goal>single</goal>
- </goals>
- </pluginExecutionFilter>
- <action>
- <ignore/>
- </action>
- </pluginExecution>
- <pluginExecution>
- <pluginExecutionFilter>
- <groupId>org.apache.maven.plugins</groupId>
- <artifactId>maven-clean-plugin</artifactId>
- <versionRange>[1,)</versionRange>
- <goals>
- <goal>clean</goal>
- </goals>
- </pluginExecutionFilter>
- <action>
- <ignore/>
- </action>
- </pluginExecution>
- <pluginExecution>
- <pluginExecutionFilter>
- <groupId>org.apache.avro</groupId>
- <artifactId>avro-maven-plugin</artifactId>
- <versionRange>[1.7.7,)</versionRange>
- <goals>
- <goal>schema</goal>
- </goals>
- </pluginExecutionFilter>
- <action>
- <ignore/>
- </action>
- </pluginExecution>
- </pluginExecutions>
- </lifecycleMappingMetadata>
- </configuration>
- </plugin>
- </plugins>
- </pluginManagement>
- </build>
+ </dependencies>
</project>
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcRowInputFormat.java
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcRowInputFormat.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcRowInputFormat.java
new file mode 100644
index 0000000..4353cbc
--- /dev/null
+++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcRowInputFormat.java
@@ -0,0 +1,745 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.orc;
+
+import org.apache.flink.annotation.VisibleForTesting;
+import org.apache.flink.api.common.io.FileInputFormat;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.api.java.typeutils.ResultTypeQueryable;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+import org.apache.flink.core.fs.FileInputSplit;
+import org.apache.flink.core.fs.Path;
+import org.apache.flink.types.Row;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hive.common.type.HiveDecimal;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+import org.apache.hadoop.hive.ql.io.sarg.PredicateLeaf;
+import org.apache.hadoop.hive.ql.io.sarg.SearchArgument;
+import org.apache.hadoop.hive.ql.io.sarg.SearchArgumentFactory;
+import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
+import org.apache.orc.OrcConf;
+import org.apache.orc.OrcFile;
+import org.apache.orc.Reader;
+import org.apache.orc.RecordReader;
+import org.apache.orc.StripeInformation;
+import org.apache.orc.TypeDescription;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.IOException;
+import java.io.ObjectInputStream;
+import java.io.ObjectOutputStream;
+import java.io.Serializable;
+import java.math.BigDecimal;
+import java.sql.Date;
+import java.sql.Timestamp;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+import static org.apache.flink.orc.OrcUtils.fillRows;
+
+/**
+ * InputFormat to read ORC files.
+ */
+public class OrcRowInputFormat extends FileInputFormat<Row> implements ResultTypeQueryable<Row> {
+
+ private static final Logger LOG = LoggerFactory.getLogger(OrcRowInputFormat.class);
+ // the number of rows read in a batch
+ private static final int DEFAULT_BATCH_SIZE = 1000;
+
+ // the number of fields rows to read in a batch
+ private int batchSize;
+ // the configuration to read with
+ private Configuration conf;
+ // the schema of the ORC files to read
+ private TypeDescription schema;
+
+ // the fields of the ORC schema that the returned Rows are composed of.
+ private int[] selectedFields;
+ // the type information of the Rows returned by this InputFormat.
+ private transient RowTypeInfo rowType;
+
+ // the ORC reader
+ private transient RecordReader orcRowsReader;
+ // the vectorized row data to be read in a batch
+ private transient VectorizedRowBatch rowBatch;
+ // the vector of rows that is read in a batch
+ private transient Row[] rows;
+
+ // the number of rows in the current batch
+ private transient int rowsInBatch;
+ // the index of the next row to return
+ private transient int nextRow;
+
+ private ArrayList<Predicate> conjunctPredicates = new ArrayList<>();
+
+ /**
+ * Creates an OrcRowInputFormat.
+ *
+ * @param path The path to read ORC files from.
+ * @param schemaString The schema of the ORC files as String.
+ * @param orcConfig The configuration to read the ORC files with.
+ */
+ public OrcRowInputFormat(String path, String schemaString, Configuration orcConfig) {
+ this(path, TypeDescription.fromString(schemaString), orcConfig, DEFAULT_BATCH_SIZE);
+ }
+
+ /**
+ * Creates an OrcRowInputFormat.
+ *
+ * @param path The path to read ORC files from.
+ * @param schemaString The schema of the ORC files as String.
+ * @param orcConfig The configuration to read the ORC files with.
+ * @param batchSize The number of Row objects to read in a batch.
+ */
+ public OrcRowInputFormat(String path, String schemaString, Configuration orcConfig, int batchSize) {
+ this(path, TypeDescription.fromString(schemaString), orcConfig, batchSize);
+ }
+
+ /**
+ * Creates an OrcRowInputFormat.
+ *
+ * @param path The path to read ORC files from.
+ * @param orcSchema The schema of the ORC files as ORC TypeDescription.
+ * @param orcConfig The configuration to read the ORC files with.
+ * @param batchSize The number of Row objects to read in a batch.
+ */
+ public OrcRowInputFormat(String path, TypeDescription orcSchema, Configuration orcConfig, int batchSize) {
+ super(new Path(path));
+
+ // configure OrcRowInputFormat
+ this.schema = orcSchema;
+ this.rowType = (RowTypeInfo) OrcUtils.schemaToTypeInfo(schema);
+ this.conf = orcConfig;
+ this.batchSize = batchSize;
+
+ // set default selection mask, i.e., all fields.
+ this.selectedFields = new int[this.schema.getChildren().size()];
+ for (int i = 0; i < selectedFields.length; i++) {
+ this.selectedFields[i] = i;
+ }
+ }
+
+ /**
+ * Adds a filter predicate to reduce the number of rows to be returned by the input format.
+ * Multiple conjunctive predicates can be added by calling this method multiple times.
+ *
+ * <p>Note: Predicates can significantly reduce the amount of data that is read.
+ * However, the OrcRowInputFormat does not guarantee that all returned rows qualify the
+ * predicates. Moreover, predicates are only applied if the referenced field is among the
+ * selected fields.
+ *
+ * @param predicate The filter predicate.
+ */
+ public void addPredicate(Predicate predicate) {
+ // validate
+ validatePredicate(predicate);
+ // add predicate
+ this.conjunctPredicates.add(predicate);
+ }
+
+ private void validatePredicate(Predicate pred) {
+ if (pred instanceof ColumnPredicate) {
+ // check column name
+ String colName = ((ColumnPredicate) pred).columnName;
+ if (!this.schema.getFieldNames().contains(colName)) {
+ throw new IllegalArgumentException("Predicate cannot be applied. " +
+ "Column '" + colName + "' does not exist in ORC schema.");
+ }
+ } else if (pred instanceof Not) {
+ validatePredicate(((Not) pred).child());
+ } else if (pred instanceof Or) {
+ for (Predicate p : ((Or) pred).children()) {
+ validatePredicate(p);
+ }
+ }
+ }
+
+ /**
+ * Selects the fields from the ORC schema that are returned by InputFormat.
+ *
+ * @param selectedFields The indices of the fields of the ORC schema that are returned by the InputFormat.
+ */
+ public void selectFields(int... selectedFields) {
+ // set field mapping
+ this.selectedFields = selectedFields;
+ // adapt result type
+ this.rowType = RowTypeInfo.projectFields(this.rowType, selectedFields);
+ }
+
+ /**
+ * Computes the ORC projection mask of the fields to include from the selected fields.rowOrcInputFormat.nextRecord(null).
+ *
+ * @return The ORC projection mask.
+ */
+ private boolean[] computeProjectionMask() {
+ // mask with all fields of the schema
+ boolean[] projectionMask = new boolean[schema.getMaximumId() + 1];
+ // for each selected field
+ for (int inIdx : selectedFields) {
+ // set all nested fields of a selected field to true
+ TypeDescription fieldSchema = schema.getChildren().get(inIdx);
+ for (int i = fieldSchema.getId(); i <= fieldSchema.getMaximumId(); i++) {
+ projectionMask[i] = true;
+ }
+ }
+ return projectionMask;
+ }
+
+ @Override
+ public void openInputFormat() throws IOException {
+ super.openInputFormat();
+ // create and initialize the row batch
+ this.rows = new Row[batchSize];
+ for (int i = 0; i < batchSize; i++) {
+ rows[i] = new Row(selectedFields.length);
+ }
+ }
+
+ @Override
+ public void open(FileInputSplit fileSplit) throws IOException {
+
+ LOG.debug("Opening ORC file {}", fileSplit.getPath());
+
+ // open ORC file and create reader
+ org.apache.hadoop.fs.Path hPath = new org.apache.hadoop.fs.Path(fileSplit.getPath().getPath());
+ Reader orcReader = OrcFile.createReader(hPath, OrcFile.readerOptions(conf));
+
+ // get offset and length for the stripes that start in the split
+ Tuple2<Long, Long> offsetAndLength = getOffsetAndLengthForSplit(fileSplit, getStripes(orcReader));
+
+ // create ORC row reader configuration
+ Reader.Options options = getOptions(orcReader)
+ .schema(schema)
+ .range(offsetAndLength.f0, offsetAndLength.f1)
+ .useZeroCopy(OrcConf.USE_ZEROCOPY.getBoolean(conf))
+ .skipCorruptRecords(OrcConf.SKIP_CORRUPT_DATA.getBoolean(conf))
+ .tolerateMissingSchema(OrcConf.TOLERATE_MISSING_SCHEMA.getBoolean(conf));
+
+ // configure filters
+ if (!conjunctPredicates.isEmpty()) {
+ SearchArgument.Builder b = SearchArgumentFactory.newBuilder();
+ b = b.startAnd();
+ for (Predicate predicate : conjunctPredicates) {
+ predicate.add(b);
+ }
+ b = b.end();
+ options.searchArgument(b.build(), new String[]{});
+ }
+
+ // configure selected fields
+ options.include(computeProjectionMask());
+
+ // create ORC row reader
+ this.orcRowsReader = orcReader.rows(options);
+
+ // assign ids
+ this.schema.getId();
+ // create row batch
+ this.rowBatch = schema.createRowBatch(batchSize);
+ rowsInBatch = 0;
+ nextRow = 0;
+ }
+
+ @VisibleForTesting
+ Reader.Options getOptions(Reader orcReader) {
+ return orcReader.options();
+ }
+
+ @VisibleForTesting
+ List<StripeInformation> getStripes(Reader orcReader) {
+ return orcReader.getStripes();
+ }
+
+ private Tuple2<Long, Long> getOffsetAndLengthForSplit(FileInputSplit split, List<StripeInformation> stripes) {
+ long splitStart = split.getStart();
+ long splitEnd = splitStart + split.getLength();
+
+ long readStart = Long.MAX_VALUE;
+ long readEnd = Long.MIN_VALUE;
+
+ for (StripeInformation s : stripes) {
+ if (splitStart <= s.getOffset() && s.getOffset() < splitEnd) {
+ // stripe starts in split, so it is included
+ readStart = Math.min(readStart, s.getOffset());
+ readEnd = Math.max(readEnd, s.getOffset() + s.getLength());
+ }
+ }
+
+ if (readStart < Long.MAX_VALUE) {
+ // at least one split is included
+ return Tuple2.of(readStart, readEnd - readStart);
+ } else {
+ return Tuple2.of(0L, 0L);
+ }
+ }
+
+ @Override
+ public void close() throws IOException {
+ if (orcRowsReader != null) {
+ this.orcRowsReader.close();
+ }
+ this.orcRowsReader = null;
+ }
+
+ @Override
+ public void closeInputFormat() throws IOException {
+ this.rows = null;
+ this.rows = null;
+ this.schema = null;
+ this.rowBatch = null;
+ }
+
+ @Override
+ public boolean reachedEnd() throws IOException {
+ return !ensureBatch();
+ }
+
+ /**
+ * Checks if there is at least one row left in the batch to return.
+ * If no more row are available, it reads another batch of rows.
+ *
+ * @return Returns true if there is one more row to return, false otherwise.
+ * @throws IOException throw if an exception happens while reading a batch.
+ */
+ private boolean ensureBatch() throws IOException {
+
+ if (nextRow >= rowsInBatch) {
+ // No more rows available in the Rows array.
+ nextRow = 0;
+ // Try to read the next batch if rows from the ORC file.
+ boolean moreRows = orcRowsReader.nextBatch(rowBatch);
+
+ if (moreRows) {
+ // Load the data into the Rows array.
+ rowsInBatch = fillRows(rows, schema, rowBatch, selectedFields);
+ }
+ return moreRows;
+ }
+ // there is at least one Row left in the Rows array.
+ return true;
+ }
+
+ @Override
+ public Row nextRecord(Row reuse) throws IOException {
+ // return the next row
+ return rows[this.nextRow++];
+ }
+
+ @Override
+ public TypeInformation<Row> getProducedType() {
+ return rowType;
+ }
+
+ // --------------------------------------------------------------------------------------------
+ // Custom serialization methods
+ // --------------------------------------------------------------------------------------------
+
+ private void writeObject(ObjectOutputStream out) throws IOException {
+ out.writeInt(batchSize);
+ this.conf.write(out);
+ out.writeUTF(schema.toString());
+
+ out.writeInt(selectedFields.length);
+ for (int f : selectedFields) {
+ out.writeInt(f);
+ }
+
+ out.writeInt(conjunctPredicates.size());
+ for (Predicate p : conjunctPredicates) {
+ out.writeObject(p);
+ }
+ }
+
+ @SuppressWarnings("unchecked")
+ private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException {
+ batchSize = in.readInt();
+ org.apache.hadoop.conf.Configuration configuration = new org.apache.hadoop.conf.Configuration();
+ configuration.readFields(in);
+
+ if (this.conf == null) {
+ this.conf = configuration;
+ }
+ this.schema = TypeDescription.fromString(in.readUTF());
+
+ this.selectedFields = new int[in.readInt()];
+ for (int i = 0; i < selectedFields.length; i++) {
+ this.selectedFields[i] = in.readInt();
+ }
+
+ this.conjunctPredicates = new ArrayList<>();
+ int numPreds = in.readInt();
+ for (int i = 0; i < numPreds; i++) {
+ conjunctPredicates.add((Predicate) in.readObject());
+ }
+ }
+
+ // --------------------------------------------------------------------------------------------
+ // Classes to define predicates
+ // --------------------------------------------------------------------------------------------
+
+ /**
+ * A filter predicate that can be evaluated by the OrcRowInputFormat.
+ */
+ public abstract static class Predicate implements Serializable {
+ protected abstract SearchArgument.Builder add(SearchArgument.Builder builder);
+ }
+
+ abstract static class ColumnPredicate extends Predicate {
+ final String columnName;
+ final PredicateLeaf.Type literalType;
+
+ ColumnPredicate(String columnName, PredicateLeaf.Type literalType) {
+ this.columnName = columnName;
+ this.literalType = literalType;
+ }
+
+ Object castLiteral(Serializable literal) {
+
+ switch (literalType) {
+ case LONG:
+ if (literal instanceof Byte) {
+ return new Long((Byte) literal);
+ } else if (literal instanceof Short) {
+ return new Long((Short) literal);
+ } else if (literal instanceof Integer) {
+ return new Long((Integer) literal);
+ } else if (literal instanceof Long) {
+ return literal;
+ } else {
+ throw new IllegalArgumentException("A predicate on a LONG column requires an integer " +
+ "literal, i.e., Byte, Short, Integer, or Long.");
+ }
+ case FLOAT:
+ if (literal instanceof Float) {
+ return new Double((Float) literal);
+ } else if (literal instanceof Double) {
+ return literal;
+ } else if (literal instanceof BigDecimal) {
+ return ((BigDecimal) literal).doubleValue();
+ } else {
+ throw new IllegalArgumentException("A predicate on a FLOAT column requires a floating " +
+ "literal, i.e., Float or Double.");
+ }
+ case STRING:
+ if (literal instanceof String) {
+ return literal;
+ } else {
+ throw new IllegalArgumentException("A predicate on a STRING column requires a floating " +
+ "literal, i.e., Float or Double.");
+ }
+ case BOOLEAN:
+ if (literal instanceof Boolean) {
+ return literal;
+ } else {
+ throw new IllegalArgumentException("A predicate on a BOOLEAN column requires a Boolean literal.");
+ }
+ case DATE:
+ if (literal instanceof Date) {
+ return literal;
+ } else {
+ throw new IllegalArgumentException("A predicate on a DATE column requires a java.sql.Date literal.");
+ }
+ case TIMESTAMP:
+ if (literal instanceof Timestamp) {
+ return literal;
+ } else {
+ throw new IllegalArgumentException("A predicate on a TIMESTAMP column requires a java.sql.Timestamp literal.");
+ }
+ case DECIMAL:
+ if (literal instanceof BigDecimal) {
+ return new HiveDecimalWritable(HiveDecimal.create((BigDecimal) literal));
+ } else {
+ throw new IllegalArgumentException("A predicate on a DECIMAL column requires a BigDecimal literal.");
+ }
+ default:
+ throw new IllegalArgumentException("Unknown literal type " + literalType);
+ }
+ }
+ }
+
+ abstract static class BinaryPredicate extends ColumnPredicate {
+ final Serializable literal;
+
+ BinaryPredicate(String columnName, PredicateLeaf.Type literalType, Serializable literal) {
+ super(columnName, literalType);
+ this.literal = literal;
+ }
+ }
+
+ /**
+ * An EQUALS predicate that can be evaluated by the OrcRowInputFormat.
+ */
+ public static class Equals extends BinaryPredicate {
+ /**
+ * Creates an EQUALS predicate.
+ *
+ * @param columnName The column to check.
+ * @param literalType The type of the literal.
+ * @param literal The literal value to check the column against.
+ */
+ public Equals(String columnName, PredicateLeaf.Type literalType, Serializable literal) {
+ super(columnName, literalType, literal);
+ }
+
+ @Override
+ protected SearchArgument.Builder add(SearchArgument.Builder builder) {
+ return builder.equals(columnName, literalType, castLiteral(literal));
+ }
+
+ @Override
+ public String toString() {
+ return columnName + " = " + literal;
+ }
+ }
+
+ /**
+ * An EQUALS predicate that can be evaluated with Null safety by the OrcRowInputFormat.
+ */
+ public static class NullSafeEquals extends BinaryPredicate {
+ /**
+ * Creates a null-safe EQUALS predicate.
+ *
+ * @param columnName The column to check.
+ * @param literalType The type of the literal.
+ * @param literal The literal value to check the column against.
+ */
+ public NullSafeEquals(String columnName, PredicateLeaf.Type literalType, Serializable literal) {
+ super(columnName, literalType, literal);
+ }
+
+ @Override
+ protected SearchArgument.Builder add(SearchArgument.Builder builder) {
+ return builder.nullSafeEquals(columnName, literalType, castLiteral(literal));
+ }
+
+ @Override
+ public String toString() {
+ return columnName + " = " + literal;
+ }
+ }
+
+ /**
+ * A LESS_THAN predicate that can be evaluated by the OrcRowInputFormat.
+ */
+ public static class LessThan extends BinaryPredicate {
+ /**
+ * Creates a LESS_THAN predicate.
+ *
+ * @param columnName The column to check.
+ * @param literalType The type of the literal.
+ * @param literal The literal value to check the column against.
+ */
+ public LessThan(String columnName, PredicateLeaf.Type literalType, Serializable literal) {
+ super(columnName, literalType, literal);
+ }
+
+ @Override
+ protected SearchArgument.Builder add(SearchArgument.Builder builder) {
+ return builder.lessThan(columnName, literalType, castLiteral(literal));
+ }
+
+ @Override
+ public String toString() {
+ return columnName + " < " + literal;
+ }
+ }
+
+ /**
+ * A LESS_THAN_EQUALS predicate that can be evaluated by the OrcRowInputFormat.
+ */
+ public static class LessThanEquals extends BinaryPredicate {
+ /**
+ * Creates a LESS_THAN_EQUALS predicate.
+ *
+ * @param columnName The column to check.
+ * @param literalType The type of the literal.
+ * @param literal The literal value to check the column against.
+ */
+ public LessThanEquals(String columnName, PredicateLeaf.Type literalType, Serializable literal) {
+ super(columnName, literalType, literal);
+ }
+
+ @Override
+ protected SearchArgument.Builder add(SearchArgument.Builder builder) {
+ return builder.lessThanEquals(columnName, literalType, castLiteral(literal));
+ }
+
+ @Override
+ public String toString() {
+ return columnName + " <= " + literal;
+ }
+ }
+
+ /**
+ * An IS_NULL predicate that can be evaluated by the OrcRowInputFormat.
+ */
+ public static class IsNull extends ColumnPredicate {
+ /**
+ * Creates an IS_NULL predicate.
+ *
+ * @param columnName The column to check for null.
+ * @param literalType The type of the column to check for null.
+ */
+ public IsNull(String columnName, PredicateLeaf.Type literalType) {
+ super(columnName, literalType);
+ }
+
+ @Override
+ protected SearchArgument.Builder add(SearchArgument.Builder builder) {
+ return builder.isNull(columnName, literalType);
+ }
+
+ @Override
+ public String toString() {
+ return columnName + " IS NULL";
+ }
+ }
+
+ /**
+ * An BETWEEN predicate that can be evaluated by the OrcRowInputFormat.
+ */
+ public static class Between extends ColumnPredicate {
+ private Serializable lowerBound;
+ private Serializable upperBound;
+
+ /**
+ * Creates an BETWEEN predicate.
+ *
+ * @param columnName The column to check.
+ * @param literalType The type of the literals.
+ * @param lowerBound The literal value of the (inclusive) lower bound to check the column against.
+ * @param upperBound The literal value of the (inclusive) upper bound to check the column against.
+ */
+ public Between(String columnName, PredicateLeaf.Type literalType, Serializable lowerBound, Serializable upperBound) {
+ super(columnName, literalType);
+ this.lowerBound = lowerBound;
+ this.upperBound = upperBound;
+ }
+
+ @Override
+ protected SearchArgument.Builder add(SearchArgument.Builder builder) {
+ return builder.between(columnName, literalType, castLiteral(lowerBound), castLiteral(upperBound));
+ }
+
+ @Override
+ public String toString() {
+ return lowerBound + " <= " + columnName + " <= " + upperBound;
+ }
+ }
+
+ /**
+ * An IN predicate that can be evaluated by the OrcRowInputFormat.
+ */
+ public static class In extends ColumnPredicate {
+ private Serializable[] literals;
+
+ /**
+ * Creates an IN predicate.
+ *
+ * @param columnName The column to check.
+ * @param literalType The type of the literals.
+ * @param literals The literal values to check the column against.
+ */
+ public In(String columnName, PredicateLeaf.Type literalType, Serializable... literals) {
+ super(columnName, literalType);
+ this.literals = literals;
+ }
+
+ @Override
+ protected SearchArgument.Builder add(SearchArgument.Builder builder) {
+ Object[] castedLiterals = new Object[literals.length];
+ for (int i = 0; i < literals.length; i++) {
+ castedLiterals[i] = castLiteral(literals[i]);
+ }
+ return builder.in(columnName, literalType, (Object[]) castedLiterals);
+ }
+
+ @Override
+ public String toString() {
+ return columnName + " IN " + Arrays.toString(literals);
+ }
+ }
+
+ /**
+ * A NOT predicate to negate a predicate that can be evaluated by the OrcRowInputFormat.
+ */
+ public static class Not extends Predicate {
+ private final Predicate pred;
+
+ /**
+ * Creates a NOT predicate.
+ *
+ * @param predicate The predicate to negate.
+ */
+ public Not(Predicate predicate) {
+ this.pred = predicate;
+ }
+
+ protected SearchArgument.Builder add(SearchArgument.Builder builder) {
+ return pred.add(builder.startNot()).end();
+ }
+
+ protected Predicate child() {
+ return pred;
+ }
+
+ @Override
+ public String toString() {
+ return "NOT(" + pred.toString() + ")";
+ }
+ }
+
+ /**
+ * An OR predicate that can be evaluated by the OrcRowInputFormat.
+ */
+ public static class Or extends Predicate {
+ private final Predicate[] preds;
+
+ /**
+ * Creates an OR predicate.
+ *
+ * @param predicates The disjunctive predicates.
+ */
+ public Or(Predicate... predicates) {
+ this.preds = predicates;
+ }
+
+ @Override
+ protected SearchArgument.Builder add(SearchArgument.Builder builder) {
+ SearchArgument.Builder withOr = builder.startOr();
+ for (Predicate p : preds) {
+ withOr = p.add(withOr);
+ }
+ return withOr.end();
+ }
+
+ protected Iterable<Predicate> children() {
+ return Arrays.asList(preds);
+ }
+
+ @Override
+ public String toString() {
+ return "OR(" + Arrays.toString(preds) + ")";
+ }
+ }
+}
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java
index 0454ba4..b7c5378 100644
--- a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java
+++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java
@@ -18,111 +18,474 @@
package org.apache.flink.orc;
+import org.apache.flink.annotation.VisibleForTesting;
+import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
+import org.apache.flink.api.common.typeinfo.SqlTimeTypeInfo;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.typeutils.RowTypeInfo;
+import org.apache.flink.orc.OrcRowInputFormat.Predicate;
+import org.apache.flink.table.api.TableSchema;
+import org.apache.flink.table.expressions.Attribute;
+import org.apache.flink.table.expressions.BinaryComparison;
+import org.apache.flink.table.expressions.EqualTo;
+import org.apache.flink.table.expressions.Expression;
+import org.apache.flink.table.expressions.GreaterThan;
+import org.apache.flink.table.expressions.GreaterThanOrEqual;
+import org.apache.flink.table.expressions.IsNotNull;
+import org.apache.flink.table.expressions.IsNull;
+import org.apache.flink.table.expressions.LessThan;
+import org.apache.flink.table.expressions.LessThanOrEqual;
+import org.apache.flink.table.expressions.Literal;
+import org.apache.flink.table.expressions.Not;
+import org.apache.flink.table.expressions.NotEqualTo;
+import org.apache.flink.table.expressions.Or;
+import org.apache.flink.table.expressions.UnaryExpression;
import org.apache.flink.table.sources.BatchTableSource;
+import org.apache.flink.table.sources.FilterableTableSource;
import org.apache.flink.table.sources.ProjectableTableSource;
import org.apache.flink.table.sources.TableSource;
import org.apache.flink.types.Row;
+import org.apache.flink.util.Preconditions;
import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hive.ql.io.sarg.PredicateLeaf;
import org.apache.orc.TypeDescription;
+import java.io.Serializable;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
/**
- * Creates a TableSource to read ORC file.
+ * A TableSource to read ORC files.
*
- * <p>The ORC file path and schema is passed during {@link OrcTableSource} construction. configuration is optional.
+ * <p>The {@link OrcTableSource} supports projection and filter push-down.</p>
*
- * <p>The OrcTableSource is used as shown in the example below.
+ * <p>An {@link OrcTableSource} is used as shown in the example below.
*
* <pre>
* {@code
- * String path = testInputURL.getPath();
- * String schema = "struct<col1:boolean,col2:tinyint,col3:smallint,col4:int>"
- * OrcTableSource orcSrc = new OrcTableSource(path, schema);
+ * OrcTableSource orcSrc = OrcTableSource.builder()
+ * .path("file:///my/data/file.orc")
+ * .forOrcSchema("struct<col1:boolean,col2:tinyint,col3:smallint,col4:int>")
+ * .build();
+ *
* tEnv.registerTableSource("orcTable", orcSrc);
* Table res = tableEnv.sql("SELECT * FROM orcTable");
* }
* </pre>
*/
-public class OrcTableSource implements BatchTableSource<Row>, ProjectableTableSource<Row> {
+public class OrcTableSource
+ implements BatchTableSource<Row>, ProjectableTableSource<Row>, FilterableTableSource<Row> {
- private String path;
- private TypeDescription orcSchema;
- private RowTypeInfo typeInfo;
- private Configuration orcConfig;
- private int[] fieldMapping;
+ private static final int DEFAULT_BATCH_SIZE = 1000;
- /**
- * The ORC file path and schema.
- *
- * @param path the path of orc file
- * @param orcSchema schema of orc file
- */
- public OrcTableSource(String path, String orcSchema) {
- this(path, orcSchema, new Configuration());
- }
+ // path to read ORC files from
+ private final String path;
+ // schema of the ORC file
+ private final TypeDescription orcSchema;
+ // the schema of the Table
+ private final TableSchema tableSchema;
+ // the configuration to read the file
+ private final Configuration orcConfig;
+ // the number of rows to read in a batch
+ private final int batchSize;
+
+ // type information of the data returned by the InputFormat
+ private final RowTypeInfo typeInfo;
+ // list of selected ORC fields to return
+ private final int[] selectedFields;
+ // list of predicates to apply
+ private final Predicate[] predicates;
/**
- * The file path and schema of orc file, and configuration to read orc file .
+ * Creates an OrcTableSouce from an ORC TypeDescription.
*
- * @param path the path of orc file
- * @param orcSchema schema of orc file
- * @param orcConfig configuration to read orc file
+ * @param path The path to read the ORC files from.
+ * @param orcSchema The schema of the ORC files as TypeDescription.
+ * @param orcConfig The configuration to read the ORC files.
+ * @param batchSize The number of Rows to read in a batch, default is 1000.
*/
- public OrcTableSource(String path, String orcSchema, Configuration orcConfig) {
- this(path, TypeDescription.fromString(orcSchema), orcConfig);
+ private OrcTableSource(String path, TypeDescription orcSchema, Configuration orcConfig, int batchSize) {
+ this(path, orcSchema, orcConfig, batchSize, null, null);
}
- public OrcTableSource(String path, TypeDescription orcSchema, Configuration orcConfig) {
+ private OrcTableSource(String path, TypeDescription orcSchema, Configuration orcConfig,
+ int batchSize, int[] selectedFields, Predicate[] predicates) {
+
+ Preconditions.checkNotNull(path, "Path must not be null.");
+ Preconditions.checkNotNull(orcSchema, "OrcSchema must not be null.");
+ Preconditions.checkNotNull(path, "Configuration must not be null.");
+ Preconditions.checkArgument(batchSize > 0, "Batch size must be larger than null.");
this.path = path;
this.orcSchema = orcSchema;
this.orcConfig = orcConfig;
+ this.batchSize = batchSize;
+ this.selectedFields = selectedFields;
+ this.predicates = predicates;
- this.typeInfo = (RowTypeInfo) OrcUtils.schemaToTypeInfo(this.orcSchema);
+ // determine the type information from the ORC schema
+ RowTypeInfo typeInfoFromSchema = (RowTypeInfo) OrcUtils.schemaToTypeInfo(this.orcSchema);
+
+ // set return type info
+ if (selectedFields == null) {
+ this.typeInfo = typeInfoFromSchema;
+ } else {
+ this.typeInfo = RowTypeInfo.projectFields(typeInfoFromSchema, selectedFields);
+ }
+ // create a TableSchema that corresponds to the ORC schema
+ this.tableSchema = new TableSchema(
+ typeInfoFromSchema.getFieldNames(),
+ typeInfoFromSchema.getFieldTypes()
+ );
}
@Override
public DataSet<Row> getDataSet(ExecutionEnvironment execEnv) {
-
- RowOrcInputFormat orcIF = new RowOrcInputFormat(path, orcSchema, orcConfig);
- if (fieldMapping != null) {
- orcIF.setFieldMapping(fieldMapping);
+ OrcRowInputFormat orcIF = buildOrcInputFormat();
+ if (selectedFields != null) {
+ orcIF.selectFields(selectedFields);
+ }
+ if (predicates != null) {
+ for (OrcRowInputFormat.Predicate pred : predicates) {
+ orcIF.addPredicate(pred);
+ }
}
return execEnv.createInput(orcIF);
}
+ @VisibleForTesting
+ protected OrcRowInputFormat buildOrcInputFormat() {
+ return new OrcRowInputFormat(path, orcSchema, orcConfig, batchSize);
+ }
+
@Override
public TypeInformation<Row> getReturnType() {
return typeInfo;
}
@Override
- public TableSource<Row> projectFields(int[] fields) {
+ public TableSchema getTableSchema() {
+ return this.tableSchema;
+ }
- OrcTableSource copy = new OrcTableSource(path, orcSchema, orcConfig);
+ @Override
+ public TableSource<Row> projectFields(int[] selectedFields) {
+ // create a copy of the OrcTableSouce with new selected fields
+ return new OrcTableSource(path, orcSchema, orcConfig, batchSize, selectedFields, predicates);
+ }
- // set field mapping
- copy.fieldMapping = fields;
+ @Override
+ public TableSource<Row> applyPredicate(List<Expression> predicates) {
+ ArrayList<Predicate> orcPredicates = new ArrayList<>();
- // adapt TypeInfo
- TypeInformation[] fieldTypes = new TypeInformation[fields.length];
- String[] fieldNames = new String[fields.length];
- for (int i = 0; i < fields.length; i++) {
- fieldTypes[i] = this.typeInfo.getTypeAt(fields[i]);
- fieldNames[i] = this.typeInfo.getFieldNames()[fields[i]];
+ // we do not remove any predicates from the list because ORC does not fully apply predicates
+ for (Expression pred : predicates) {
+ Predicate orcPred = toOrcPredicate(pred);
+ if (orcPred != null) {
+ orcPredicates.add(orcPred);
+ }
}
- copy.typeInfo = new RowTypeInfo(fieldTypes, fieldNames);
- return copy;
+ return new OrcTableSource(path, orcSchema, orcConfig, batchSize, selectedFields, orcPredicates.toArray(new Predicate[]{}));
+ }
+
+ @Override
+ public boolean isFilterPushedDown() {
+ return this.predicates != null;
}
@Override
public String explainSource() {
- return "ORC Source file at path " + this.path + " with schema " + this.orcSchema;
+ return "OrcFile[path=" + path + ", schema=" + orcSchema + ", filter=" + predicateString() + "]";
+ }
+
+ private String predicateString() {
+ if (predicates != null) {
+ return "AND(" + Arrays.toString(predicates) + ")";
+ } else {
+ return "TRUE";
+ }
+ }
+
+ // Predicate conversion for filter push-down.
+
+ private Predicate toOrcPredicate(Expression pred) {
+ if (pred instanceof Or) {
+ Predicate c1 = toOrcPredicate(((Or) pred).left());
+ Predicate c2 = toOrcPredicate(((Or) pred).right());
+ if (c1 == null || c2 == null) {
+ return null;
+ } else {
+ return new OrcRowInputFormat.Or(c1, c2);
+ }
+ } else if (pred instanceof Not) {
+ Predicate c = toOrcPredicate(((Not) pred).child());
+ if (c == null) {
+ return null;
+ } else {
+ return new OrcRowInputFormat.Not(c);
+ }
+ } else if (pred instanceof BinaryComparison) {
+
+ BinaryComparison binComp = (BinaryComparison) pred;
+
+ if (!isValid(binComp)) {
+ // not a valid predicate
+ return null;
+ }
+ PredicateLeaf.Type litType = getLiteralType(binComp);
+ if (litType == null) {
+ // unsupported literal type
+ return null;
+ }
+
+ boolean literalOnRight = literalOnRight(binComp);
+ String colName = getColumnName(binComp);
+ Serializable literal = (Serializable) getLiteral(binComp);
+
+ if (pred instanceof EqualTo) {
+ return new OrcRowInputFormat.Equals(colName, litType, literal);
+ } else if (pred instanceof NotEqualTo) {
+ return new OrcRowInputFormat.Not(
+ new OrcRowInputFormat.Equals(colName, litType, literal));
+ } else if (pred instanceof GreaterThan) {
+ if (literalOnRight) {
+ return new OrcRowInputFormat.Not(
+ new OrcRowInputFormat.LessThanEquals(colName, litType, literal));
+ } else {
+ return new OrcRowInputFormat.LessThan(colName, litType, literal);
+ }
+ } else if (pred instanceof GreaterThanOrEqual) {
+ if (literalOnRight) {
+ return new OrcRowInputFormat.Not(
+ new OrcRowInputFormat.LessThan(colName, litType, literal));
+ } else {
+ return new OrcRowInputFormat.LessThanEquals(colName, litType, literal);
+ }
+ } else if (pred instanceof LessThan) {
+ if (literalOnRight) {
+ return new OrcRowInputFormat.LessThan(colName, litType, literal);
+ } else {
+ return new OrcRowInputFormat.Not(
+ new OrcRowInputFormat.LessThanEquals(colName, litType, literal));
+ }
+ } else if (pred instanceof LessThanOrEqual) {
+ if (literalOnRight) {
+ return new OrcRowInputFormat.LessThanEquals(colName, litType, literal);
+ } else {
+ return new OrcRowInputFormat.Not(
+ new OrcRowInputFormat.LessThan(colName, litType, literal));
+ }
+ } else {
+ // unsupported predicate
+ return null;
+ }
+ } else if (pred instanceof UnaryExpression) {
+
+ UnaryExpression unary = (UnaryExpression) pred;
+ if (!isValid(unary)) {
+ // not a valid predicate
+ return null;
+ }
+ PredicateLeaf.Type colType = toOrcType(((UnaryExpression) pred).child().resultType());
+ if (colType == null) {
+ // unsupported type
+ return null;
+ }
+
+ String colName = getColumnName(unary);
+
+ if (pred instanceof IsNull) {
+ return new OrcRowInputFormat.IsNull(colName, colType);
+ } else if (pred instanceof IsNotNull) {
+ return new OrcRowInputFormat.Not(
+ new OrcRowInputFormat.IsNull(colName, colType));
+ } else {
+ // unsupported predicate
+ return null;
+ }
+ } else {
+ // unsupported predicate
+ return null;
+ }
+ }
+
+ private boolean isValid(UnaryExpression unary) {
+ return unary.child() instanceof Attribute;
+ }
+
+ private boolean isValid(BinaryComparison comp) {
+ return (comp.left() instanceof Literal && comp.right() instanceof Attribute) ||
+ (comp.left() instanceof Attribute && comp.right() instanceof Literal);
+ }
+
+ private boolean literalOnRight(BinaryComparison comp) {
+ if (comp.left() instanceof Literal && comp.right() instanceof Attribute) {
+ return false;
+ } else if (comp.left() instanceof Attribute && comp.right() instanceof Literal) {
+ return true;
+ } else {
+ throw new RuntimeException("Invalid binary comparison.");
+ }
+ }
+
+ private String getColumnName(UnaryExpression unary) {
+ return ((Attribute) unary.child()).name();
+ }
+
+ private String getColumnName(BinaryComparison comp) {
+ if (literalOnRight(comp)) {
+ return ((Attribute) comp.left()).name();
+ } else {
+ return ((Attribute) comp.right()).name();
+ }
+ }
+
+ private PredicateLeaf.Type getLiteralType(BinaryComparison comp) {
+ if (literalOnRight(comp)) {
+ return toOrcType(((Literal) comp.right()).resultType());
+ } else {
+ return toOrcType(((Literal) comp.left()).resultType());
+ }
+ }
+
+ private Object getLiteral(BinaryComparison comp) {
+ if (literalOnRight(comp)) {
+ return ((Literal) comp.right()).value();
+ } else {
+ return ((Literal) comp.left()).value();
+ }
+ }
+
+ private PredicateLeaf.Type toOrcType(TypeInformation<?> type) {
+ if (type == BasicTypeInfo.BYTE_TYPE_INFO ||
+ type == BasicTypeInfo.SHORT_TYPE_INFO ||
+ type == BasicTypeInfo.INT_TYPE_INFO ||
+ type == BasicTypeInfo.LONG_TYPE_INFO) {
+ return PredicateLeaf.Type.LONG;
+ } else if (type == BasicTypeInfo.FLOAT_TYPE_INFO ||
+ type == BasicTypeInfo.DOUBLE_TYPE_INFO) {
+ return PredicateLeaf.Type.FLOAT;
+ } else if (type == BasicTypeInfo.BOOLEAN_TYPE_INFO) {
+ return PredicateLeaf.Type.BOOLEAN;
+ } else if (type == BasicTypeInfo.STRING_TYPE_INFO) {
+ return PredicateLeaf.Type.STRING;
+ } else if (type == SqlTimeTypeInfo.TIMESTAMP) {
+ return PredicateLeaf.Type.TIMESTAMP;
+ } else if (type == SqlTimeTypeInfo.DATE) {
+ return PredicateLeaf.Type.DATE;
+ } else if (type == BasicTypeInfo.BIG_DEC_TYPE_INFO) {
+ return PredicateLeaf.Type.DECIMAL;
+ } else {
+ // unsupported type
+ return null;
+ }
+ }
+
+ // Builder
+
+ public static Builder builder() {
+ return new Builder();
+ }
+
+ /**
+ * Constructs an {@link OrcTableSource}.
+ */
+ public static class Builder {
+
+ private String path;
+
+ private TypeDescription schema;
+
+ private Configuration config;
+
+ private int batchSize = 0;
+
+ /**
+ * Sets the path of the ORC file(s).
+ *
+ * @param path The path of the ORC file(s).
+ * @return The builder.
+ */
+ public Builder path(String path) {
+ Preconditions.checkNotNull(path, "Path must not be null.");
+ Preconditions.checkArgument(!path.isEmpty(), "Path must not be empty.");
+ this.path = path;
+ return this;
+ }
+
+ /**
+ * Sets the ORC schema of the files to read as a String.
+ *
+ * @param orcSchema The ORC schema of the files to read as a String.
+ * @return The builder.
+ */
+ public Builder forOrcSchema(String orcSchema) {
+ Preconditions.checkNotNull(orcSchema, "ORC schema must not be null.");
+ this.schema = TypeDescription.fromString(orcSchema);
+ return this;
+ }
+
+ /**
+ * Sets the ORC schema of the files to read as a {@link TypeDescription}.
+ *
+ * @param orcSchema The ORC schema of the files to read as a String.
+ * @return The builder.
+ */
+ public Builder forOrcSchema(TypeDescription orcSchema) {
+ Preconditions.checkNotNull(orcSchema, "ORC Schema must not be null.");
+ this.schema = orcSchema;
+ return this;
+ }
+
+ /**
+ * Sets a Hadoop {@link Configuration} for the ORC reader. If no configuration is configured,
+ * an empty configuration is used.
+ *
+ * @param config The Hadoop Configuration for the ORC reader.
+ * @return The builder.
+ */
+ public Builder withConfiguration(Configuration config) {
+ Preconditions.checkNotNull(config, "Configuration must not be null.");
+ this.config = config;
+ return this;
+ }
+
+ /**
+ * Sets the number of rows that are read in a batch. If not configured, the ORC files are
+ * read with a batch size of 1000.
+ *
+ * @param batchSize The number of rows that are read in a batch.
+ * @return The builder.
+ */
+ public Builder withBatchSize(int batchSize) {
+ Preconditions.checkArgument(batchSize > 0, "Batch size must be greater than zero.");
+ this.batchSize = batchSize;
+ return this;
+ }
+
+ /**
+ * Builds the OrcTableSource for this builder.
+ *
+ * @return The OrcTableSource for this builder.
+ */
+ public OrcTableSource build() {
+ Preconditions.checkNotNull(this.path, "Path must not be null.");
+ Preconditions.checkNotNull(this.schema, "ORC schema must not be null.");
+ if (this.config == null) {
+ this.config = new Configuration();
+ }
+ if (this.batchSize == 0) {
+ // set default batch size
+ this.batchSize = DEFAULT_BATCH_SIZE;
+ }
+ return new OrcTableSource(this.path, this.schema, this.config, this.batchSize);
+ }
+
}
}
[7/9] flink git commit: [FLINK-2170] [connectors] Add
OrcRowInputFormat and OrcTableSource.
Posted by fh...@apache.org.
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java
deleted file mode 100644
index 0c9c549..0000000
--- a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java
+++ /dev/null
@@ -1,241 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements. See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership. The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License. You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.flink.orc;
-
-import org.apache.flink.api.common.io.FileInputFormat;
-import org.apache.flink.api.common.typeinfo.TypeInformation;
-import org.apache.flink.api.java.typeutils.ResultTypeQueryable;
-import org.apache.flink.api.java.typeutils.RowTypeInfo;
-import org.apache.flink.core.fs.FileInputSplit;
-import org.apache.flink.core.fs.Path;
-import org.apache.flink.types.Row;
-import org.apache.flink.util.Preconditions;
-
-import org.apache.hadoop.conf.Configuration;
-import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
-
-import org.apache.orc.OrcConf;
-import org.apache.orc.OrcFile;
-import org.apache.orc.Reader;
-import org.apache.orc.RecordReader;
-import org.apache.orc.TypeDescription;
-
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
-
-import static org.apache.flink.orc.OrcUtils.fillRows;
-
-/**
- * InputFormat to read ORC data.
- * For Optimization, reading is done in batch instead of a single row.
- */
-public class RowOrcInputFormat
- extends FileInputFormat<Row>
- implements ResultTypeQueryable<Row> {
-
- private static final Logger LOG = LoggerFactory.getLogger(RowOrcInputFormat.class);
- private static final int BATCH_SIZE = 1024;
-
- private org.apache.hadoop.conf.Configuration config;
- private TypeDescription schema;
- private int[] fieldMapping;
-
- private transient RowTypeInfo rowType;
- private transient RecordReader orcRowsReader;
- private transient VectorizedRowBatch rowBatch;
- private transient Row[] rows;
-
- private transient int rowInBatch;
-
- public RowOrcInputFormat(String path, String schemaString, Configuration orcConfig) {
- this(path, TypeDescription.fromString(schemaString), orcConfig);
- }
-
- public RowOrcInputFormat(String path, TypeDescription orcSchema, Configuration orcConfig) {
- super(new Path(path));
- this.unsplittable = false;
- this.schema = orcSchema;
- this.rowType = (RowTypeInfo) OrcUtils.schemaToTypeInfo(schema);
- this.config = orcConfig;
-
- this.fieldMapping = new int[this.schema.getChildren().size()];
- for (int i = 0; i < fieldMapping.length; i++) {
- this.fieldMapping[i] = i;
- }
-
- }
-
- public void setFieldMapping(int[] fieldMapping) {
- this.fieldMapping = fieldMapping;
- // adapt result type
-
- TypeInformation[] fieldTypes = new TypeInformation[fieldMapping.length];
- String[] fieldNames = new String[fieldMapping.length];
- for (int i = 0; i < fieldMapping.length; i++) {
- fieldTypes[i] = this.rowType.getTypeAt(fieldMapping[i]);
- fieldNames[i] = this.rowType.getFieldNames()[fieldMapping[i]];
- }
- this.rowType = new RowTypeInfo(fieldTypes, fieldNames);
- }
-
- private boolean[] computeProjectionMask() {
- boolean[] projectionMask = new boolean[schema.getMaximumId() + 1];
- for (int inIdx : fieldMapping) {
- TypeDescription fieldSchema = schema.getChildren().get(inIdx);
- for (int i = fieldSchema.getId(); i <= fieldSchema.getMaximumId(); i++) {
- projectionMask[i] = true;
- }
- }
- return projectionMask;
- }
-
- @Override
- public void openInputFormat() throws IOException {
- super.openInputFormat();
- this.rows = new Row[BATCH_SIZE];
- for (int i = 0; i < BATCH_SIZE; i++) {
- rows[i] = new Row(fieldMapping.length);
- }
- }
-
- @Override
- public void open(FileInputSplit fileSplit) throws IOException {
-
- this.currentSplit = fileSplit;
- Preconditions.checkArgument(this.splitStart == 0, "ORC files must be read from the start.");
-
- if (LOG.isDebugEnabled()) {
- LOG.debug("Opening ORC file " + fileSplit.getPath());
- }
-
- org.apache.hadoop.fs.Path hPath = new org.apache.hadoop.fs.Path(fileSplit.getPath().getPath());
-
- Reader orcReader = OrcFile.createReader(hPath, OrcFile.readerOptions(config));
-
- Reader.Options options = orcReader.options()
- .range(fileSplit.getStart(), fileSplit.getLength())
- .useZeroCopy(OrcConf.USE_ZEROCOPY.getBoolean(config))
- .skipCorruptRecords(OrcConf.SKIP_CORRUPT_DATA.getBoolean(config))
- .tolerateMissingSchema(OrcConf.TOLERATE_MISSING_SCHEMA.getBoolean(config));
-
- options.include(computeProjectionMask());
-
- // check that schema of file is as expected
- if (!this.schema.equals(orcReader.getSchema())) {
-
- throw new RuntimeException("Invalid schema for file at " + this.filePath +
- " Expected:" + this.schema + " Actual: " + orcReader.getSchema());
- }
-
- this.orcRowsReader = orcReader.rows(options);
-
- // assign ids
- this.schema.getId();
-
- this.rowBatch = schema.createRowBatch(BATCH_SIZE);
- rowInBatch = 0;
- }
-
- @Override
- public void close() throws IOException {
-
- if (orcRowsReader != null) {
- this.orcRowsReader.close();
- }
- this.orcRowsReader = null;
-
- }
-
- @Override
- public void closeInputFormat() throws IOException {
- this.rows = null;
- this.rows = null;
- this.schema = null;
- this.rowBatch = null;
- }
-
- @Override
- public boolean reachedEnd() throws IOException {
- return !ensureBatch();
- }
-
- private boolean ensureBatch() throws IOException {
-
- if (rowInBatch >= rowBatch.size) {
- rowInBatch = 0;
- boolean moreRows = orcRowsReader.nextBatch(rowBatch);
-
- if (moreRows) {
- // read rows
- fillRows(rows, schema, rowBatch, fieldMapping);
- }
- return moreRows;
- }
-
- return true;
- }
-
- @Override
- public Row nextRecord(Row reuse) throws IOException {
- return rows[this.rowInBatch++];
- }
-
- @Override
- public TypeInformation<Row> getProducedType() {
- return rowType;
- }
-
- // --------------------------------------------------------------------------------------------
- // Custom serialization methods
- // --------------------------------------------------------------------------------------------
-
- private void writeObject(ObjectOutputStream out) throws IOException {
- this.config.write(out);
- out.writeUTF(schema.toString());
-
- out.writeInt(fieldMapping.length);
- for (int f : fieldMapping) {
- out.writeInt(f);
- }
-
- }
-
- @SuppressWarnings("unchecked")
- private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException {
-
- org.apache.hadoop.conf.Configuration configuration = new org.apache.hadoop.conf.Configuration();
- configuration.readFields(in);
-
- if (this.config == null) {
- this.config = configuration;
- }
- this.schema = TypeDescription.fromString(in.readUTF());
-
- this.fieldMapping = new int[in.readInt()];
- for (int i = 0; i < fieldMapping.length; i++) {
- this.fieldMapping[i] = in.readInt();
- }
-
- }
-
-}
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcRowInputFormatTest.java
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcRowInputFormatTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcRowInputFormatTest.java
new file mode 100644
index 0000000..0efe41f
--- /dev/null
+++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcRowInputFormatTest.java
@@ -0,0 +1,795 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.orc;
+
+import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.common.typeinfo.Types;
+import org.apache.flink.api.java.typeutils.MapTypeInfo;
+import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+import org.apache.flink.core.fs.FileInputSplit;
+import org.apache.flink.core.fs.Path;
+import org.apache.flink.types.Row;
+import org.apache.flink.util.InstantiationUtil;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hive.ql.io.sarg.PredicateLeaf;
+import org.apache.hadoop.hive.ql.io.sarg.SearchArgument;
+import org.apache.orc.Reader;
+import org.apache.orc.StripeInformation;
+import org.junit.After;
+import org.junit.Test;
+
+import java.io.FileNotFoundException;
+import java.io.IOException;
+import java.math.BigDecimal;
+import java.sql.Date;
+import java.sql.Timestamp;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+
+import static org.junit.Assert.assertArrayEquals;
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertFalse;
+import static org.junit.Assert.assertNotNull;
+import static org.junit.Assert.assertTrue;
+import static org.mockito.Matchers.eq;
+import static org.mockito.Mockito.any;
+import static org.mockito.Mockito.doReturn;
+import static org.mockito.Mockito.mock;
+import static org.mockito.Mockito.spy;
+import static org.mockito.Mockito.verify;
+import static org.mockito.Mockito.when;
+
+/**
+ * Unit tests for {@link OrcRowInputFormat}.
+ *
+ */
+public class OrcRowInputFormatTest {
+
+ private OrcRowInputFormat rowOrcInputFormat;
+
+ @After
+ public void tearDown() throws IOException {
+ if (rowOrcInputFormat != null) {
+ rowOrcInputFormat.close();
+ rowOrcInputFormat.closeInputFormat();
+ }
+ rowOrcInputFormat = null;
+ }
+
+ private static final String TEST_FILE_FLAT = "test-data-flat.orc";
+ private static final String TEST_SCHEMA_FLAT =
+ "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int,_col5:string,_col6:int,_col7:int,_col8:int>";
+
+ private static final String TEST_FILE_NESTED = "test-data-nested.orc";
+ private static final String TEST_SCHEMA_NESTED =
+ "struct<" +
+ "boolean1:boolean," +
+ "byte1:tinyint," +
+ "short1:smallint," +
+ "int1:int," +
+ "long1:bigint," +
+ "float1:float," +
+ "double1:double," +
+ "bytes1:binary," +
+ "string1:string," +
+ "middle:struct<" +
+ "list:array<" +
+ "struct<" +
+ "int1:int," +
+ "string1:string" +
+ ">" +
+ ">" +
+ ">," +
+ "list:array<" +
+ "struct<" +
+ "int1:int," +
+ "string1:string" +
+ ">" +
+ ">," +
+ "map:map<" +
+ "string," +
+ "struct<" +
+ "int1:int," +
+ "string1:string" +
+ ">" +
+ ">" +
+ ">";
+
+ private static final String TEST_FILE_TIMETYPES = "test-data-timetypes.orc";
+ private static final String TEST_SCHEMA_TIMETYPES = "struct<time:timestamp,date:date>";
+
+ private static final String TEST_FILE_DECIMAL = "test-data-decimal.orc";
+ private static final String TEST_SCHEMA_DECIMAL = "struct<_col0:decimal(10,5)>";
+
+ private static final String TEST_FILE_NESTEDLIST = "test-data-nestedlist.orc";
+ private static final String TEST_SCHEMA_NESTEDLIST = "struct<mylist1:array<array<struct<mylong1:bigint>>>>";
+
+ @Test(expected = FileNotFoundException.class)
+ public void testInvalidPath() throws IOException{
+ rowOrcInputFormat =
+ new OrcRowInputFormat("/does/not/exist", TEST_SCHEMA_FLAT, new Configuration());
+ rowOrcInputFormat.openInputFormat();
+ FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
+ rowOrcInputFormat.open(inputSplits[0]);
+ }
+
+ @Test(expected = IndexOutOfBoundsException.class)
+ public void testInvalidProjection1() throws IOException{
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration());
+ int[] projectionMask = {1, 2, 3, -1};
+ rowOrcInputFormat.selectFields(projectionMask);
+ }
+
+ @Test(expected = IndexOutOfBoundsException.class)
+ public void testInvalidProjection2() throws IOException{
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration());
+ int[] projectionMask = {1, 2, 3, 9};
+ rowOrcInputFormat.selectFields(projectionMask);
+ }
+
+ @Test
+ public void testProjectionMaskNested() throws IOException{
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration());
+
+ OrcRowInputFormat spy = spy(rowOrcInputFormat);
+
+ // mock options to check configuration of ORC reader
+ Reader.Options options = new Reader.Options();
+ doReturn(options).when(spy).getOptions(any());
+
+ spy.selectFields(9, 11, 2);
+ spy.openInputFormat();
+ FileInputSplit[] splits = spy.createInputSplits(1);
+ spy.open(splits[0]);
+
+ // top-level struct is false
+ boolean[] expected = new boolean[]{
+ false, // top level
+ false, false, // flat fields 0, 1 are out
+ true, // flat field 2 is in
+ false, false, false, false, false, false, // flat fields 3, 4, 5, 6, 7, 8 are out
+ true, true, true, true, true, // nested field 9 is in
+ false, false, false, false, // nested field 10 is out
+ true, true, true, true, true}; // nested field 11 is in
+ assertArrayEquals(expected, options.getInclude());
+ }
+
+ @Test
+ public void testSplitStripesGivenSplits() throws IOException {
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration());
+
+ OrcRowInputFormat spy = spy(rowOrcInputFormat);
+
+ // mock options to check configuration of ORC reader
+ Reader.Options options = spy(new Reader.Options());
+ doReturn(options).when(spy).getOptions(any());
+
+ FileInputSplit[] splits = spy.createInputSplits(3);
+
+ spy.openInputFormat();
+ spy.open(splits[0]);
+ verify(options).range(eq(3L), eq(137005L));
+ spy.open(splits[1]);
+ verify(options).range(eq(137008L), eq(136182L));
+ spy.open(splits[2]);
+ verify(options).range(eq(273190L), eq(123633L));
+ }
+
+ @Test
+ public void testSplitStripesCustomSplits() throws IOException {
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration());
+
+ OrcRowInputFormat spy = spy(rowOrcInputFormat);
+
+ // mock list of stripes
+ List<StripeInformation> stripes = new ArrayList<>();
+ StripeInformation stripe1 = mock(StripeInformation.class);
+ when(stripe1.getOffset()).thenReturn(10L);
+ when(stripe1.getLength()).thenReturn(90L);
+ StripeInformation stripe2 = mock(StripeInformation.class);
+ when(stripe2.getOffset()).thenReturn(100L);
+ when(stripe2.getLength()).thenReturn(100L);
+ StripeInformation stripe3 = mock(StripeInformation.class);
+ when(stripe3.getOffset()).thenReturn(200L);
+ when(stripe3.getLength()).thenReturn(100L);
+ StripeInformation stripe4 = mock(StripeInformation.class);
+ when(stripe4.getOffset()).thenReturn(300L);
+ when(stripe4.getLength()).thenReturn(100L);
+ StripeInformation stripe5 = mock(StripeInformation.class);
+ when(stripe5.getOffset()).thenReturn(400L);
+ when(stripe5.getLength()).thenReturn(100L);
+ stripes.add(stripe1);
+ stripes.add(stripe2);
+ stripes.add(stripe3);
+ stripes.add(stripe4);
+ stripes.add(stripe5);
+ doReturn(stripes).when(spy).getStripes(any());
+
+ // mock options to check configuration of ORC reader
+ Reader.Options options = spy(new Reader.Options());
+ doReturn(options).when(spy).getOptions(any());
+
+ spy.openInputFormat();
+ // split ranging 2 stripes
+ spy.open(new FileInputSplit(0, new Path(getPath(TEST_FILE_FLAT)), 0, 150, new String[]{}));
+ verify(options).range(eq(10L), eq(190L));
+ // split ranging 0 stripes
+ spy.open(new FileInputSplit(1, new Path(getPath(TEST_FILE_FLAT)), 150, 10, new String[]{}));
+ verify(options).range(eq(0L), eq(0L));
+ // split ranging 1 stripe
+ spy.open(new FileInputSplit(2, new Path(getPath(TEST_FILE_FLAT)), 160, 41, new String[]{}));
+ verify(options).range(eq(200L), eq(100L));
+ // split ranging 2 stripe
+ spy.open(new FileInputSplit(3, new Path(getPath(TEST_FILE_FLAT)), 201, 299, new String[]{}));
+ verify(options).range(eq(300L), eq(200L));
+ }
+
+ @Test
+ public void testProducedType() throws IOException {
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration());
+
+ assertTrue(rowOrcInputFormat.getProducedType() instanceof RowTypeInfo);
+ RowTypeInfo producedType = (RowTypeInfo) rowOrcInputFormat.getProducedType();
+
+ assertArrayEquals(
+ new TypeInformation[]{
+ // primitives
+ Types.BOOLEAN, Types.BYTE, Types.SHORT, Types.INT, Types.LONG, Types.FLOAT, Types.DOUBLE,
+ // binary
+ PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO,
+ // string
+ Types.STRING,
+ // struct
+ Types.ROW_NAMED(
+ new String[]{"list"},
+ ObjectArrayTypeInfo.getInfoFor(
+ Types.ROW_NAMED(new String[]{"int1", "string1"}, Types.INT, Types.STRING))),
+ // list
+ ObjectArrayTypeInfo.getInfoFor(
+ Types.ROW_NAMED(new String[]{"int1", "string1"}, Types.INT, Types.STRING)),
+ // map
+ new MapTypeInfo<>(Types.STRING, Types.ROW_NAMED(new String[]{"int1", "string1"}, Types.INT, Types.STRING))
+ },
+ producedType.getFieldTypes());
+ assertArrayEquals(
+ new String[]{"boolean1", "byte1", "short1", "int1", "long1", "float1", "double1", "bytes1", "string1", "middle", "list", "map"},
+ producedType.getFieldNames());
+ }
+
+ @Test
+ public void testProducedTypeWithProjection() throws IOException {
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration());
+
+ rowOrcInputFormat.selectFields(9, 3, 7, 10);
+
+ assertTrue(rowOrcInputFormat.getProducedType() instanceof RowTypeInfo);
+ RowTypeInfo producedType = (RowTypeInfo) rowOrcInputFormat.getProducedType();
+
+ assertArrayEquals(
+ new TypeInformation[]{
+ // struct
+ Types.ROW_NAMED(
+ new String[]{"list"},
+ ObjectArrayTypeInfo.getInfoFor(
+ Types.ROW_NAMED(new String[]{"int1", "string1"}, Types.INT, Types.STRING))),
+ // int
+ Types.INT,
+ // binary
+ PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO,
+ // list
+ ObjectArrayTypeInfo.getInfoFor(
+ Types.ROW_NAMED(new String[]{"int1", "string1"}, Types.INT, Types.STRING))
+ },
+ producedType.getFieldTypes());
+ assertArrayEquals(
+ new String[]{"middle", "int1", "bytes1", "list"},
+ producedType.getFieldNames());
+ }
+
+ @Test
+ public void testSerialization() throws Exception {
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration());
+
+ rowOrcInputFormat.selectFields(0, 4, 1);
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.Equals("_col1", PredicateLeaf.Type.STRING, "M"));
+
+ byte[] bytes = InstantiationUtil.serializeObject(rowOrcInputFormat);
+ OrcRowInputFormat copy = InstantiationUtil.deserializeObject(bytes, getClass().getClassLoader());
+
+ FileInputSplit[] splits = copy.createInputSplits(1);
+ copy.openInputFormat();
+ copy.open(splits[0]);
+ assertFalse(copy.reachedEnd());
+ Row row = copy.nextRecord(null);
+
+ assertNotNull(row);
+ assertEquals(3, row.getArity());
+ // check first row
+ assertEquals(1, row.getField(0));
+ assertEquals(500, row.getField(1));
+ assertEquals("M", row.getField(2));
+ }
+
+ @Test
+ public void testNumericBooleanStringPredicates() throws Exception {
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration());
+
+ rowOrcInputFormat.selectFields(0, 1, 2, 3, 4, 5, 6, 8);
+
+ // boolean pred
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.Equals("boolean1", PredicateLeaf.Type.BOOLEAN, false));
+ // boolean pred
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.LessThan("byte1", PredicateLeaf.Type.LONG, 1));
+ // boolean pred
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.LessThanEquals("short1", PredicateLeaf.Type.LONG, 1024));
+ // boolean pred
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.Between("int1", PredicateLeaf.Type.LONG, -1, 65536));
+ // boolean pred
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.Equals("long1", PredicateLeaf.Type.LONG, 9223372036854775807L));
+ // boolean pred
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.Equals("float1", PredicateLeaf.Type.FLOAT, 1.0));
+ // boolean pred
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.Equals("double1", PredicateLeaf.Type.FLOAT, -15.0));
+ // boolean pred
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.IsNull("string1", PredicateLeaf.Type.STRING));
+ // boolean pred
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.Equals("string1", PredicateLeaf.Type.STRING, "hello"));
+
+ FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1);
+ rowOrcInputFormat.openInputFormat();
+
+ // mock options to check configuration of ORC reader
+ OrcRowInputFormat spy = spy(rowOrcInputFormat);
+ Reader.Options options = new Reader.Options();
+ doReturn(options).when(spy).getOptions(any());
+
+ spy.openInputFormat();
+ spy.open(splits[0]);
+
+ // verify predicate configuration
+ SearchArgument sarg = options.getSearchArgument();
+ assertNotNull(sarg);
+ assertEquals("(and leaf-0 leaf-1 leaf-2 leaf-3 leaf-4 leaf-5 leaf-6 leaf-7 leaf-8)", sarg.getExpression().toString());
+ assertEquals(9, sarg.getLeaves().size());
+ List<PredicateLeaf> leaves = sarg.getLeaves();
+ assertEquals("(EQUALS boolean1 false)", leaves.get(0).toString());
+ assertEquals("(LESS_THAN byte1 1)", leaves.get(1).toString());
+ assertEquals("(LESS_THAN_EQUALS short1 1024)", leaves.get(2).toString());
+ assertEquals("(BETWEEN int1 -1 65536)", leaves.get(3).toString());
+ assertEquals("(EQUALS long1 9223372036854775807)", leaves.get(4).toString());
+ assertEquals("(EQUALS float1 1.0)", leaves.get(5).toString());
+ assertEquals("(EQUALS double1 -15.0)", leaves.get(6).toString());
+ assertEquals("(IS_NULL string1)", leaves.get(7).toString());
+ assertEquals("(EQUALS string1 hello)", leaves.get(8).toString());
+ }
+
+ @Test
+ public void testTimePredicates() throws Exception {
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_TIMETYPES), TEST_SCHEMA_TIMETYPES, new Configuration());
+
+ rowOrcInputFormat.addPredicate(
+ // OR
+ new OrcRowInputFormat.Or(
+ // timestamp pred
+ new OrcRowInputFormat.Equals("time", PredicateLeaf.Type.TIMESTAMP, Timestamp.valueOf("1900-05-05 12:34:56.100")),
+ // date pred
+ new OrcRowInputFormat.Equals("date", PredicateLeaf.Type.DATE, Date.valueOf("1900-12-25")))
+ );
+
+ FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1);
+ rowOrcInputFormat.openInputFormat();
+
+ // mock options to check configuration of ORC reader
+ OrcRowInputFormat spy = spy(rowOrcInputFormat);
+ Reader.Options options = new Reader.Options();
+ doReturn(options).when(spy).getOptions(any());
+
+ spy.openInputFormat();
+ spy.open(splits[0]);
+
+ // verify predicate configuration
+ SearchArgument sarg = options.getSearchArgument();
+ assertNotNull(sarg);
+ assertEquals("(or leaf-0 leaf-1)", sarg.getExpression().toString());
+ assertEquals(2, sarg.getLeaves().size());
+ List<PredicateLeaf> leaves = sarg.getLeaves();
+ assertEquals("(EQUALS time 1900-05-05 12:34:56.1)", leaves.get(0).toString());
+ assertEquals("(EQUALS date 1900-12-25)", leaves.get(1).toString());
+ }
+
+ @Test
+ public void testDecimalPredicate() throws Exception {
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_DECIMAL), TEST_SCHEMA_DECIMAL, new Configuration());
+
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.Not(
+ // decimal pred
+ new OrcRowInputFormat.Equals("_col0", PredicateLeaf.Type.DECIMAL, BigDecimal.valueOf(-1000.5))));
+
+ FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1);
+ rowOrcInputFormat.openInputFormat();
+
+ // mock options to check configuration of ORC reader
+ OrcRowInputFormat spy = spy(rowOrcInputFormat);
+ Reader.Options options = new Reader.Options();
+ doReturn(options).when(spy).getOptions(any());
+
+ spy.openInputFormat();
+ spy.open(splits[0]);
+
+ // verify predicate configuration
+ SearchArgument sarg = options.getSearchArgument();
+ assertNotNull(sarg);
+ assertEquals("(not leaf-0)", sarg.getExpression().toString());
+ assertEquals(1, sarg.getLeaves().size());
+ List<PredicateLeaf> leaves = sarg.getLeaves();
+ assertEquals("(EQUALS _col0 -1000.5)", leaves.get(0).toString());
+ }
+
+ @Test(expected = IllegalArgumentException.class)
+ public void testPredicateWithInvalidColumn() throws Exception {
+ rowOrcInputFormat =
+ new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration());
+
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.Equals("unknown", PredicateLeaf.Type.LONG, 42));
+ }
+
+ @Test
+ public void testReadNestedFile() throws IOException{
+ rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration());
+
+ FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1);
+ assertEquals(1, splits.length);
+ rowOrcInputFormat.openInputFormat();
+ rowOrcInputFormat.open(splits[0]);
+
+ assertFalse(rowOrcInputFormat.reachedEnd());
+ Row row = rowOrcInputFormat.nextRecord(null);
+
+ // validate first row
+ assertNotNull(row);
+ assertEquals(12, row.getArity());
+ assertEquals(false, row.getField(0));
+ assertEquals((byte) 1, row.getField(1));
+ assertEquals((short) 1024, row.getField(2));
+ assertEquals(65536, row.getField(3));
+ assertEquals(9223372036854775807L, row.getField(4));
+ assertEquals(1.0f, row.getField(5));
+ assertEquals(-15.0d, row.getField(6));
+ assertArrayEquals(new byte[]{0, 1, 2, 3, 4}, (byte[]) row.getField(7));
+ assertEquals("hi", row.getField(8));
+ // check nested field
+ assertTrue(row.getField(9) instanceof Row);
+ Row nested1 = (Row) row.getField(9);
+ assertEquals(1, nested1.getArity());
+ assertTrue(nested1.getField(0) instanceof Object[]);
+ Object[] nestedList1 = (Object[]) nested1.getField(0);
+ assertEquals(2, nestedList1.length);
+ assertEquals(Row.of(1, "bye"), nestedList1[0]);
+ assertEquals(Row.of(2, "sigh"), nestedList1[1]);
+ // check list
+ assertTrue(row.getField(10) instanceof Object[]);
+ Object[] list1 = (Object[]) row.getField(10);
+ assertEquals(2, list1.length);
+ assertEquals(Row.of(3, "good"), list1[0]);
+ assertEquals(Row.of(4, "bad"), list1[1]);
+ // check map
+ assertTrue(row.getField(11) instanceof HashMap);
+ HashMap map1 = (HashMap) row.getField(11);
+ assertEquals(0, map1.size());
+
+ // read second row
+ assertFalse(rowOrcInputFormat.reachedEnd());
+ row = rowOrcInputFormat.nextRecord(null);
+
+ // validate second row
+ assertNotNull(row);
+ assertEquals(12, row.getArity());
+ assertEquals(true, row.getField(0));
+ assertEquals((byte) 100, row.getField(1));
+ assertEquals((short) 2048, row.getField(2));
+ assertEquals(65536, row.getField(3));
+ assertEquals(9223372036854775807L, row.getField(4));
+ assertEquals(2.0f, row.getField(5));
+ assertEquals(-5.0d, row.getField(6));
+ assertArrayEquals(new byte[]{}, (byte[]) row.getField(7));
+ assertEquals("bye", row.getField(8));
+ // check nested field
+ assertTrue(row.getField(9) instanceof Row);
+ Row nested2 = (Row) row.getField(9);
+ assertEquals(1, nested2.getArity());
+ assertTrue(nested2.getField(0) instanceof Object[]);
+ Object[] nestedList2 = (Object[]) nested2.getField(0);
+ assertEquals(2, nestedList2.length);
+ assertEquals(Row.of(1, "bye"), nestedList2[0]);
+ assertEquals(Row.of(2, "sigh"), nestedList2[1]);
+ // check list
+ assertTrue(row.getField(10) instanceof Object[]);
+ Object[] list2 = (Object[]) row.getField(10);
+ assertEquals(3, list2.length);
+ assertEquals(Row.of(100000000, "cat"), list2[0]);
+ assertEquals(Row.of(-100000, "in"), list2[1]);
+ assertEquals(Row.of(1234, "hat"), list2[2]);
+ // check map
+ assertTrue(row.getField(11) instanceof HashMap);
+ HashMap map = (HashMap) row.getField(11);
+ assertEquals(2, map.size());
+ assertEquals(Row.of(5, "chani"), map.get("chani"));
+ assertEquals(Row.of(1, "mauddib"), map.get("mauddib"));
+
+ assertTrue(rowOrcInputFormat.reachedEnd());
+ }
+
+ @Test
+ public void testReadTimeTypeFile() throws IOException{
+ rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_TIMETYPES), TEST_SCHEMA_TIMETYPES, new Configuration());
+
+ FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1);
+ assertEquals(1, splits.length);
+ rowOrcInputFormat.openInputFormat();
+ rowOrcInputFormat.open(splits[0]);
+
+ assertFalse(rowOrcInputFormat.reachedEnd());
+ Row row = rowOrcInputFormat.nextRecord(null);
+
+ // validate first row
+ assertNotNull(row);
+ assertEquals(2, row.getArity());
+ assertEquals(Timestamp.valueOf("1900-05-05 12:34:56.1"), row.getField(0));
+ assertEquals(Date.valueOf("1900-12-25"), row.getField(1));
+
+ // check correct number of rows
+ long cnt = 1;
+ while (!rowOrcInputFormat.reachedEnd()) {
+ assertNotNull(rowOrcInputFormat.nextRecord(null));
+ cnt++;
+ }
+ assertEquals(70000, cnt);
+ }
+
+ @Test
+ public void testReadDecimalTypeFile() throws IOException{
+ rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_DECIMAL), TEST_SCHEMA_DECIMAL, new Configuration());
+
+ FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1);
+ assertEquals(1, splits.length);
+ rowOrcInputFormat.openInputFormat();
+ rowOrcInputFormat.open(splits[0]);
+
+ assertFalse(rowOrcInputFormat.reachedEnd());
+ Row row = rowOrcInputFormat.nextRecord(null);
+
+ // validate first row
+ assertNotNull(row);
+ assertEquals(1, row.getArity());
+ assertEquals(BigDecimal.valueOf(-1000.5d), row.getField(0));
+
+ // check correct number of rows
+ long cnt = 1;
+ while (!rowOrcInputFormat.reachedEnd()) {
+ assertNotNull(rowOrcInputFormat.nextRecord(null));
+ cnt++;
+ }
+ assertEquals(6000, cnt);
+ }
+
+ @Test
+ public void testReadNestedListFile() throws Exception {
+ rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_NESTEDLIST), TEST_SCHEMA_NESTEDLIST, new Configuration());
+
+ FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1);
+ assertEquals(1, splits.length);
+ rowOrcInputFormat.openInputFormat();
+ rowOrcInputFormat.open(splits[0]);
+
+ assertFalse(rowOrcInputFormat.reachedEnd());
+
+ Row row = null;
+ long cnt = 0;
+
+ // read all rows
+ while (!rowOrcInputFormat.reachedEnd()) {
+
+ row = rowOrcInputFormat.nextRecord(row);
+ assertEquals(1, row.getArity());
+
+ // outer list
+ Object[] list = (Object[]) row.getField(0);
+ assertEquals(1, list.length);
+
+ // nested list of rows
+ Row[] nestedRows = (Row[]) list[0];
+ assertEquals(1, nestedRows.length);
+ assertEquals(1, nestedRows[0].getArity());
+
+ // verify list value
+ assertEquals(cnt, nestedRows[0].getField(0));
+ cnt++;
+ }
+ // number of rows in file
+ assertEquals(100, cnt);
+ }
+
+ @Test
+ public void testReadWithProjection() throws IOException{
+ rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration());
+
+ rowOrcInputFormat.selectFields(7, 0, 10, 8);
+
+ FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1);
+ assertEquals(1, splits.length);
+ rowOrcInputFormat.openInputFormat();
+ rowOrcInputFormat.open(splits[0]);
+
+ assertFalse(rowOrcInputFormat.reachedEnd());
+ Row row = rowOrcInputFormat.nextRecord(null);
+
+ // validate first row
+ assertNotNull(row);
+ assertEquals(4, row.getArity());
+ // check binary
+ assertArrayEquals(new byte[]{0, 1, 2, 3, 4}, (byte[]) row.getField(0));
+ // check boolean
+ assertEquals(false, row.getField(1));
+ // check list
+ assertTrue(row.getField(2) instanceof Object[]);
+ Object[] list1 = (Object[]) row.getField(2);
+ assertEquals(2, list1.length);
+ assertEquals(Row.of(3, "good"), list1[0]);
+ assertEquals(Row.of(4, "bad"), list1[1]);
+ // check string
+ assertEquals("hi", row.getField(3));
+
+ // check that there is a second row with four fields
+ assertFalse(rowOrcInputFormat.reachedEnd());
+ row = rowOrcInputFormat.nextRecord(null);
+ assertNotNull(row);
+ assertEquals(4, row.getArity());
+ assertTrue(rowOrcInputFormat.reachedEnd());
+ }
+
+ @Test
+ public void testReadFileInSplits() throws IOException{
+
+ rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration());
+ rowOrcInputFormat.selectFields(0, 1);
+
+ FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(4);
+ assertEquals(4, splits.length);
+ rowOrcInputFormat.openInputFormat();
+
+ long cnt = 0;
+ // read all splits
+ for (FileInputSplit split : splits) {
+
+ // open split
+ rowOrcInputFormat.open(split);
+ // read and count all rows
+ while (!rowOrcInputFormat.reachedEnd()) {
+ assertNotNull(rowOrcInputFormat.nextRecord(null));
+ cnt++;
+ }
+ }
+ // check that all rows have been read
+ assertEquals(1920800, cnt);
+ }
+
+ @Test
+ public void testReadFileWithFilter() throws IOException{
+
+ rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration());
+ rowOrcInputFormat.selectFields(0, 1);
+
+ // read head and tail of file
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.Or(
+ new OrcRowInputFormat.LessThan("_col0", PredicateLeaf.Type.LONG, 10L),
+ new OrcRowInputFormat.Not(
+ new OrcRowInputFormat.LessThanEquals("_col0", PredicateLeaf.Type.LONG, 1920000L))
+ ));
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.Equals("_col1", PredicateLeaf.Type.STRING, "M"));
+
+ FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1);
+ assertEquals(1, splits.length);
+ rowOrcInputFormat.openInputFormat();
+
+ // open split
+ rowOrcInputFormat.open(splits[0]);
+
+ // read and count all rows
+ long cnt = 0;
+ while (!rowOrcInputFormat.reachedEnd()) {
+ assertNotNull(rowOrcInputFormat.nextRecord(null));
+ cnt++;
+ }
+ // check that only the first and last stripes of the file have been read.
+ // Each stripe has 5000 rows, except the last which has 800 rows.
+ assertEquals(5800, cnt);
+ }
+
+ @Test
+ public void testReadFileWithEvolvedSchema() throws IOException{
+
+ rowOrcInputFormat = new OrcRowInputFormat(
+ getPath(TEST_FILE_FLAT),
+ "struct<_col0:int,_col1:string,_col4:string,_col3:string>", // previous version of schema
+ new Configuration());
+ rowOrcInputFormat.selectFields(3, 0, 2);
+
+ rowOrcInputFormat.addPredicate(
+ new OrcRowInputFormat.LessThan("_col0", PredicateLeaf.Type.LONG, 10L));
+
+ FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1);
+ assertEquals(1, splits.length);
+ rowOrcInputFormat.openInputFormat();
+
+ // open split
+ rowOrcInputFormat.open(splits[0]);
+
+ // read and validate first row
+ assertFalse(rowOrcInputFormat.reachedEnd());
+ Row row = rowOrcInputFormat.nextRecord(null);
+ assertNotNull(row);
+ assertEquals(3, row.getArity());
+ assertEquals("Primary", row.getField(0));
+ assertEquals(1, row.getField(1));
+ assertEquals("M", row.getField(2));
+
+ // read and count remaining rows
+ long cnt = 1;
+ while (!rowOrcInputFormat.reachedEnd()) {
+ assertNotNull(rowOrcInputFormat.nextRecord(null));
+ cnt++;
+ }
+ // check that only the first and last stripes of the file have been read.
+ // Each stripe has 5000 rows, except the last which has 800 rows.
+ assertEquals(5000, cnt);
+ }
+
+ private String getPath(String fileName) {
+ return getClass().getClassLoader().getResource(fileName).getPath();
+ }
+}
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java
index 3de6ab3..e6ef1e1 100644
--- a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java
+++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java
@@ -18,125 +18,101 @@
package org.apache.flink.orc;
-import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
-import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
-import org.apache.flink.api.java.typeutils.MapTypeInfo;
-import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo;
-import org.apache.flink.api.java.typeutils.RowTypeInfo;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.TableEnvironment;
-import org.apache.flink.table.api.TableSchema;
import org.apache.flink.table.api.java.BatchTableEnvironment;
import org.apache.flink.test.util.MultipleProgramsTestBase;
import org.apache.flink.types.Row;
-import org.hamcrest.CoreMatchers;
-import org.junit.Assert;
import org.junit.Test;
-import java.net.URL;
-import java.util.ArrayList;
import java.util.List;
+import static org.junit.Assert.assertEquals;
+
/**
* Tests for {@link OrcTableSource}.
*/
public class OrcTableSourceITCase extends MultipleProgramsTestBase {
- private static final String TEST1_SCHEMA = "struct<boolean1:boolean,byte1:tinyint,short1:smallint,int1:int," +
- "long1:bigint,float1:float,double1:double,bytes1:binary,string1:string," +
- "middle:struct<list:array<struct<int1:int,string1:string>>>," +
- "list:array<struct<int1:int,string1:string>>," +
- "map:map<string,struct<int1:int,string1:string>>>";
-
- private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc");
-
-
- private static final String[] TEST1_DATA = new String[] {
- "false,1,1024,65536,9223372036854775807,1.0,-15.0,[0, 1, 2, 3, 4],hi,[1,bye, 2,sigh],[3,good, 4,bad],{}",
- "true,100,2048,65536,9223372036854775807,2.0,-5.0,[],bye,[1,bye, 2,sigh]," +
- "[100000000,cat, -100000,in, 1234,hat],{chani=5,chani, mauddib=1,mauddib}" };
+ private static final String TEST_FILE_FLAT = "test-data-flat.orc";
+ private static final String TEST_SCHEMA_FLAT =
+ "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int,_col5:string,_col6:int,_col7:int,_col8:int>";
public OrcTableSourceITCase() {
super(TestExecutionMode.COLLECTION);
}
@Test
- public void testOrcTableSource() throws Exception {
+ public void testFullScan() throws Exception {
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env);
- assert (test1URL != null);
- OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA);
-
- tEnv.registerTableSource("orcTable", orc);
-
- String query = "Select * from orcTable";
- Table t = tEnv.sql(query);
+ OrcTableSource orc = OrcTableSource.builder()
+ .path(getPath(TEST_FILE_FLAT))
+ .forOrcSchema(TEST_SCHEMA_FLAT)
+ .build();
+ tEnv.registerTableSource("OrcTable", orc);
+
+ String query =
+ "SELECT COUNT(*), " +
+ "MIN(_col0), MAX(_col0), " +
+ "MIN(_col1), MAX(_col1), " +
+ "MIN(_col2), MAX(_col2), " +
+ "MIN(_col3), MAX(_col3), " +
+ "MIN(_col4), MAX(_col4), " +
+ "MIN(_col5), MAX(_col5), " +
+ "MIN(_col6), MAX(_col6), " +
+ "MIN(_col7), MAX(_col7), " +
+ "MIN(_col8), MAX(_col8) " +
+ "FROM OrcTable";
+ Table t = tEnv.sqlQuery(query);
DataSet<Row> dataSet = tEnv.toDataSet(t, Row.class);
- List<Row> records = dataSet.collect();
-
- Assert.assertEquals(records.size(), 2);
+ List<Row> result = dataSet.collect();
- List<String> actualRecords = new ArrayList<>();
- for (Row record : records) {
- Assert.assertEquals(record.getArity(), 12);
- actualRecords.add(record.toString());
- }
-
- Assert.assertThat(actualRecords, CoreMatchers.hasItems(TEST1_DATA));
+ assertEquals(1, result.size());
+ assertEquals(
+ "1920800,1,1920800,F,M,D,W,2 yr Degree,Unknown,500,10000,Good,Unknown,0,6,0,6,0,6",
+ result.get(0).toString());
}
@Test
- public void testOrcTableProjection() throws Exception {
+ public void testScanWithProjectionAndFilter() throws Exception {
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env);
- assert(test1URL != null);
- OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA);
-
- tEnv.registerTableSource("orcTable", orc);
-
- String query = "Select middle,list,map from orcTable";
- Table t = tEnv.sql(query);
-
- String[] colNames = new String[] {"middle", "list", "map"};
-
- RowTypeInfo rowTypeInfo = new RowTypeInfo(
- new TypeInformation[] {
- BasicTypeInfo.INT_TYPE_INFO,
- BasicTypeInfo.STRING_TYPE_INFO},
- new String[] {"int1", "string1"});
-
- RowTypeInfo structTypeInfo = new RowTypeInfo(
- new TypeInformation[] {ObjectArrayTypeInfo.getInfoFor(rowTypeInfo)},
- new String[] {"list"});
-
- TypeInformation[] colTypes = new TypeInformation[] {
- structTypeInfo,
- ObjectArrayTypeInfo.getInfoFor(rowTypeInfo),
- new MapTypeInfo(BasicTypeInfo.STRING_TYPE_INFO, rowTypeInfo)
- };
-
- TableSchema actualTableSchema = new TableSchema(colNames, colTypes);
-
- Assert.assertArrayEquals(t.getSchema().getColumnNames(), colNames);
- Assert.assertArrayEquals(t.getSchema().getTypes(), colTypes);
- Assert.assertEquals(actualTableSchema.toString(), t.getSchema().toString());
+ OrcTableSource orc = OrcTableSource.builder()
+ .path(getPath(TEST_FILE_FLAT))
+ .forOrcSchema(TEST_SCHEMA_FLAT)
+ .build();
+ tEnv.registerTableSource("OrcTable", orc);
+
+ String query =
+ "SELECT " +
+ "MIN(_col4), MAX(_col4), " +
+ "MIN(_col3), MAX(_col3), " +
+ "MIN(_col0), MAX(_col0), " +
+ "MIN(_col2), MAX(_col2), " +
+ "COUNT(*) " +
+ "FROM OrcTable " +
+ "WHERE (_col0 BETWEEN 4975 and 5024 OR _col0 BETWEEN 9975 AND 10024) AND _col1 = 'F'";
+ Table t = tEnv.sqlQuery(query);
DataSet<Row> dataSet = tEnv.toDataSet(t, Row.class);
- List<Row> records = dataSet.collect();
-
- Assert.assertEquals(records.size(), 2);
- for (Row record: records) {
- Assert.assertEquals(record.getArity(), 3);
- }
+ List<Row> result = dataSet.collect();
+ assertEquals(1, result.size());
+ assertEquals(
+ "1500,6000,2 yr Degree,Unknown,4976,10024,D,W,50",
+ result.get(0).toString());
}
+ private String getPath(String fileName) {
+ return getClass().getClassLoader().getResource(fileName).getPath();
+ }
}
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java
index c285054..4e4be77 100644
--- a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java
+++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java
@@ -18,96 +18,248 @@
package org.apache.flink.orc;
-import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo;
import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.typeutils.MapTypeInfo;
import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo;
import org.apache.flink.api.java.typeutils.RowTypeInfo;
-import org.apache.flink.table.api.Table;
-import org.apache.flink.table.api.TableEnvironment;
import org.apache.flink.table.api.TableSchema;
-import org.apache.flink.table.api.java.BatchTableEnvironment;
+import org.apache.flink.table.expressions.EqualTo;
+import org.apache.flink.table.expressions.Expression;
+import org.apache.flink.table.expressions.GetCompositeField;
+import org.apache.flink.table.expressions.GreaterThan;
+import org.apache.flink.table.expressions.ItemAt;
+import org.apache.flink.table.expressions.Literal;
+import org.apache.flink.table.expressions.ResolvedFieldReference;
+import org.apache.flink.types.Row;
-import org.junit.Assert;
+import org.apache.hadoop.hive.ql.io.sarg.PredicateLeaf;
import org.junit.Test;
+import org.mockito.ArgumentCaptor;
-import java.net.URL;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.stream.Collectors;
+
+import static org.junit.Assert.assertArrayEquals;
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertFalse;
+import static org.junit.Assert.assertNotNull;
+import static org.junit.Assert.assertTrue;
+import static org.mockito.Matchers.eq;
+import static org.mockito.Mockito.doReturn;
+import static org.mockito.Mockito.mock;
+import static org.mockito.Mockito.spy;
+import static org.mockito.Mockito.times;
+import static org.mockito.Mockito.verify;
/**
* Unit Tests for {@link OrcTableSource}.
*/
public class OrcTableSourceTest {
- private static final String TEST1_SCHEMA = "struct<boolean1:boolean,byte1:tinyint,short1:smallint,int1:int," +
- "long1:bigint,float1:float,double1:double,bytes1:binary,string1:string," +
- "middle:struct<list:array<struct<int1:int,string1:string>>>," +
- "list:array<struct<int1:int,string1:string>>," +
- "map:map<string,struct<int1:int,string1:string>>>";
+ private static final String TEST_FILE_NESTED = "test-data-nested.orc";
+ private static final String TEST_SCHEMA_NESTED =
+ "struct<" +
+ "boolean1:boolean," +
+ "byte1:tinyint," +
+ "short1:smallint," +
+ "int1:int," +
+ "long1:bigint," +
+ "float1:float," +
+ "double1:double," +
+ "bytes1:binary," +
+ "string1:string," +
+ "middle:struct<" +
+ "list:array<" +
+ "struct<" +
+ "int1:int," +
+ "string1:string" +
+ ">" +
+ ">" +
+ ">," +
+ "list:array<" +
+ "struct<" +
+ "int1:int," +
+ "string1:string" +
+ ">" +
+ ">," +
+ "map:map<" +
+ "string," +
+ "struct<" +
+ "int1:int," +
+ "string1:string" +
+ ">" +
+ ">" +
+ ">";
+
+ @Test
+ public void testGetReturnType() throws Exception {
+
+ OrcTableSource orc = OrcTableSource.builder()
+ .path(getPath(TEST_FILE_NESTED))
+ .forOrcSchema(TEST_SCHEMA_NESTED)
+ .build();
- private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc");
+ TypeInformation<Row> returnType = orc.getReturnType();
+ assertNotNull(returnType);
+ assertTrue(returnType instanceof RowTypeInfo);
+ RowTypeInfo rowType = (RowTypeInfo) returnType;
+
+ RowTypeInfo expected = Types.ROW_NAMED(getNestedFieldNames(), getNestedFieldTypes());
+ assertEquals(expected, rowType);
+ }
@Test
- public void testOrcSchema() throws Exception {
+ public void testGetTableSchema() throws Exception {
+
+ OrcTableSource orc = OrcTableSource.builder()
+ .path(getPath(TEST_FILE_NESTED))
+ .forOrcSchema(TEST_SCHEMA_NESTED)
+ .build();
+
+ TableSchema schema = orc.getTableSchema();
+ assertNotNull(schema);
+ assertArrayEquals(getNestedFieldNames(), schema.getColumnNames());
+ assertArrayEquals(getNestedFieldTypes(), schema.getTypes());
+ }
+
+ @Test
+ public void testProjectFields() throws Exception {
+
+ OrcTableSource orc = OrcTableSource.builder()
+ .path(getPath(TEST_FILE_NESTED))
+ .forOrcSchema(TEST_SCHEMA_NESTED)
+ .build();
+
+ OrcTableSource projected = (OrcTableSource) orc.projectFields(new int[]{3, 5, 1, 0});
- assert(test1URL != null);
- OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA);
+ // ensure copy is returned
+ assertTrue(orc != projected);
- String expectedSchema = "Row(boolean1: Boolean, byte1: Byte, short1: Short, int1: Integer, long1: Long, " +
- "float1: Float, double1: Double, bytes1: byte[], string1: String, " +
- "middle: Row(list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>), " +
- "list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>, " +
- "map: Map<String, Row(int1: Integer, string1: String)>)";
+ // ensure table schema is identical
+ assertEquals(orc.getTableSchema(), projected.getTableSchema());
- Assert.assertEquals(expectedSchema, orc.getReturnType().toString());
+ // ensure return type was adapted
+ String[] fieldNames = getNestedFieldNames();
+ TypeInformation[] fieldTypes = getNestedFieldTypes();
+ assertEquals(
+ Types.ROW_NAMED(
+ new String[] {fieldNames[3], fieldNames[5], fieldNames[1], fieldNames[0]},
+ new TypeInformation[] {fieldTypes[3], fieldTypes[5], fieldTypes[1], fieldTypes[0]}),
+ projected.getReturnType());
+ // ensure IF is configured with selected fields
+ OrcTableSource spyTS = spy(projected);
+ OrcRowInputFormat mockIF = mock(OrcRowInputFormat.class);
+ doReturn(mockIF).when(spyTS).buildOrcInputFormat();
+ spyTS.getDataSet(mock(ExecutionEnvironment.class));
+ verify(mockIF).selectFields(eq(3), eq(5), eq(1), eq(0));
}
@Test
- public void testOrcTableSchema() throws Exception {
+ public void testApplyPredicate() throws Exception {
- ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
- BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env);
+ OrcTableSource orc = OrcTableSource.builder()
+ .path(getPath(TEST_FILE_NESTED))
+ .forOrcSchema(TEST_SCHEMA_NESTED)
+ .build();
- assert(test1URL != null);
- OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA);
+ // expressions for predicates
+ Expression pred1 = new GreaterThan(
+ new ResolvedFieldReference("int1", Types.INT),
+ new Literal(100, Types.INT));
+ Expression pred2 = new EqualTo(
+ new ResolvedFieldReference("string1", Types.STRING),
+ new Literal("hello", Types.STRING));
+ Expression pred3 = new EqualTo(
+ new GetCompositeField(
+ new ItemAt(
+ new ResolvedFieldReference(
+ "list",
+ ObjectArrayTypeInfo.getInfoFor(
+ Types.ROW_NAMED(new String[] {"int1", "string1"}, Types.INT, Types.STRING))),
+ new Literal(1, Types.INT)),
+ "int1"),
+ new Literal(1, Types.INT)
+ );
+ ArrayList<Expression> preds = new ArrayList<>();
+ preds.add(pred1);
+ preds.add(pred2);
+ preds.add(pred3);
- tEnv.registerTableSource("orcTable", orc);
- String query = "Select * from orcTable";
- Table t = tEnv.sql(query);
+ // apply predicates on TableSource
+ OrcTableSource projected = (OrcTableSource) orc.applyPredicate(preds);
- String[] colNames = new String[] {
- "boolean1", "byte1", "short1", "int1", "long1", "float1",
- "double1", "bytes1", "string1", "list", "list0", "map"
- };
+ // ensure copy is returned
+ assertTrue(orc != projected);
- RowTypeInfo rowTypeInfo = new RowTypeInfo(
- new TypeInformation[] {
- BasicTypeInfo.INT_TYPE_INFO,
- BasicTypeInfo.STRING_TYPE_INFO},
- new String[] {"int1", "string1"});
-
- TypeInformation[] colTypes = new TypeInformation[] {
- BasicTypeInfo.BOOLEAN_TYPE_INFO,
- BasicTypeInfo.BYTE_TYPE_INFO,
- BasicTypeInfo.SHORT_TYPE_INFO,
- BasicTypeInfo.INT_TYPE_INFO,
- BasicTypeInfo.LONG_TYPE_INFO,
- BasicTypeInfo.FLOAT_TYPE_INFO,
- BasicTypeInfo.DOUBLE_TYPE_INFO,
- PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO,
- BasicTypeInfo.STRING_TYPE_INFO,
- ObjectArrayTypeInfo.getInfoFor(rowTypeInfo),
- ObjectArrayTypeInfo.getInfoFor(rowTypeInfo),
- new MapTypeInfo(BasicTypeInfo.STRING_TYPE_INFO, rowTypeInfo)
- };
- TableSchema expectedTableSchema = new TableSchema(colNames, colTypes);
+ // ensure table schema is identical
+ assertEquals(orc.getTableSchema(), projected.getTableSchema());
+
+ // ensure return type is identical
+ assertEquals(
+ Types.ROW_NAMED(getNestedFieldNames(), getNestedFieldTypes()),
+ projected.getReturnType());
+
+ // ensure IF is configured with supported predicates
+ OrcTableSource spyTS = spy(projected);
+ OrcRowInputFormat mockIF = mock(OrcRowInputFormat.class);
+ doReturn(mockIF).when(spyTS).buildOrcInputFormat();
+ spyTS.getDataSet(mock(ExecutionEnvironment.class));
+
+ ArgumentCaptor<OrcRowInputFormat.Predicate> arguments = ArgumentCaptor.forClass(OrcRowInputFormat.Predicate.class);
+ verify(mockIF, times(2)).addPredicate(arguments.capture());
+ List<String> values = arguments.getAllValues().stream().map(Object::toString).collect(Collectors.toList());
+ assertTrue(values.contains(
+ new OrcRowInputFormat.Not(new OrcRowInputFormat.LessThanEquals("int1", PredicateLeaf.Type.LONG, 100)).toString()));
+ assertTrue(values.contains(
+ new OrcRowInputFormat.Equals("string1", PredicateLeaf.Type.STRING, "hello").toString()));
+
+ // ensure filter pushdown is correct
+ assertTrue(spyTS.isFilterPushedDown());
+ assertFalse(orc.isFilterPushedDown());
+ }
+
+ private String getPath(String fileName) {
+ return getClass().getClassLoader().getResource(fileName).getPath();
+ }
- Assert.assertArrayEquals(t.getSchema().getColumnNames(), colNames);
- Assert.assertArrayEquals(t.getSchema().getTypes(), colTypes);
- Assert.assertEquals(expectedTableSchema.toString(), t.getSchema().toString());
+ private String[] getNestedFieldNames() {
+ return new String[] {
+ "boolean1", "byte1", "short1", "int1", "long1", "float1", "double1", "bytes1", "string1", "middle", "list", "map"
+ };
+ }
+ private TypeInformation[] getNestedFieldTypes() {
+ return new TypeInformation[]{
+ Types.BOOLEAN, Types.BYTE, Types.SHORT, Types.INT, Types.LONG, Types.FLOAT, Types.DOUBLE,
+ PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO, Types.STRING,
+ Types.ROW_NAMED(
+ new String[]{"list"},
+ ObjectArrayTypeInfo.getInfoFor(
+ Types.ROW_NAMED(
+ new String[]{"int1", "string1"},
+ Types.INT, Types.STRING
+ )
+ )
+ ),
+ ObjectArrayTypeInfo.getInfoFor(
+ Types.ROW_NAMED(
+ new String[]{"int1", "string1"},
+ Types.INT, Types.STRING
+ )
+ ),
+ new MapTypeInfo<>(
+ Types.STRING,
+ Types.ROW_NAMED(
+ new String[]{"int1", "string1"},
+ Types.INT, Types.STRING
+ )
+ )
+ };
}
}
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcUtilsTest.java
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcUtilsTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcUtilsTest.java
new file mode 100644
index 0000000..2cb1715
--- /dev/null
+++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcUtilsTest.java
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.orc;
+
+import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
+import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.common.typeinfo.Types;
+import org.apache.flink.api.java.typeutils.MapTypeInfo;
+import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+
+import org.apache.orc.TypeDescription;
+import org.junit.Assert;
+import org.junit.Test;
+
+/**
+ * Unit tests for {@link OrcUtils}.
+ *
+ */
+public class OrcUtilsTest {
+
+ @Test
+ public void testFlatSchemaToTypeInfo1() {
+
+ String schema =
+ "struct<" +
+ "boolean1:boolean," +
+ "byte1:tinyint," +
+ "short1:smallint," +
+ "int1:int," +
+ "long1:bigint," +
+ "float1:float," +
+ "double1:double," +
+ "bytes1:binary," +
+ "string1:string," +
+ "date1:date," +
+ "timestamp1:timestamp," +
+ "decimal1:decimal(5,2)" +
+ ">";
+ TypeInformation typeInfo = OrcUtils.schemaToTypeInfo(TypeDescription.fromString(schema));
+
+ Assert.assertNotNull(typeInfo);
+ Assert.assertTrue(typeInfo instanceof RowTypeInfo);
+ RowTypeInfo rowTypeInfo = (RowTypeInfo) typeInfo;
+
+ // validate field types
+ Assert.assertArrayEquals(
+ new TypeInformation[]{
+ Types.BOOLEAN, Types.BYTE, Types.SHORT, Types.INT, Types.LONG, Types.FLOAT, Types.DOUBLE,
+ PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO, Types.STRING,
+ Types.SQL_DATE, Types.SQL_TIMESTAMP, BasicTypeInfo.BIG_DEC_TYPE_INFO
+ },
+ rowTypeInfo.getFieldTypes());
+
+ // validate field names
+ Assert.assertArrayEquals(
+ new String[] {
+ "boolean1", "byte1", "short1", "int1", "long1", "float1", "double1",
+ "bytes1", "string1", "date1", "timestamp1", "decimal1"
+ },
+ rowTypeInfo.getFieldNames());
+
+ }
+
+ @Test
+ public void testNestedSchemaToTypeInfo1() {
+
+ String schema =
+ "struct<" +
+ "middle:struct<" +
+ "list:array<" +
+ "struct<" +
+ "int1:int," +
+ "string1:string" +
+ ">" +
+ ">" +
+ ">," +
+ "list:array<" +
+ "struct<" +
+ "int1:int," +
+ "string1:string" +
+ ">" +
+ ">," +
+ "map:map<" +
+ "string," +
+ "struct<" +
+ "int1:int," +
+ "string1:string" +
+ ">" +
+ ">" +
+ ">";
+ TypeInformation typeInfo = OrcUtils.schemaToTypeInfo(TypeDescription.fromString(schema));
+
+ Assert.assertNotNull(typeInfo);
+ Assert.assertTrue(typeInfo instanceof RowTypeInfo);
+ RowTypeInfo rowTypeInfo = (RowTypeInfo) typeInfo;
+
+ // validate field types
+ Assert.assertArrayEquals(
+ new TypeInformation[]{
+ Types.ROW_NAMED(
+ new String[]{"list"},
+ ObjectArrayTypeInfo.getInfoFor(
+ Types.ROW_NAMED(
+ new String[]{"int1", "string1"},
+ Types.INT, Types.STRING
+ )
+ )
+ ),
+ ObjectArrayTypeInfo.getInfoFor(
+ Types.ROW_NAMED(
+ new String[]{"int1", "string1"},
+ Types.INT, Types.STRING
+ )
+ ),
+ new MapTypeInfo<>(
+ Types.STRING,
+ Types.ROW_NAMED(
+ new String[]{"int1", "string1"},
+ Types.INT, Types.STRING
+ )
+ )
+ },
+ rowTypeInfo.getFieldTypes());
+
+ // validate field names
+ Assert.assertArrayEquals(
+ new String[] {"middle", "list", "map"},
+ rowTypeInfo.getFieldNames());
+ }
+}
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java
deleted file mode 100644
index 60008a0..0000000
--- a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java
+++ /dev/null
@@ -1,472 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements. See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership. The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License. You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.flink.orc;
-
-import org.apache.flink.api.common.typeinfo.TypeInformation;
-import org.apache.flink.core.fs.FileInputSplit;
-import org.apache.flink.types.Row;
-
-import org.apache.hadoop.conf.Configuration;
-
-import org.junit.After;
-import org.junit.Assert;
-import org.junit.Test;
-
-import java.io.FileNotFoundException;
-import java.io.IOException;
-import java.net.URL;
-import java.nio.file.Files;
-import java.nio.file.Paths;
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.List;
-
-/**
- * Tests for the {@link RowOrcInputFormat}.
- */
-
-public class RowOrcInputFormatTest {
-
- private RowOrcInputFormat rowOrcInputFormat;
-
- @After
- public void tearDown() throws IOException {
- if (rowOrcInputFormat != null) {
- rowOrcInputFormat.close();
- rowOrcInputFormat.closeInputFormat();
- }
- rowOrcInputFormat = null;
- }
-
- private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc");
-
- private static final String TEST1_SCHEMA = "struct<boolean1:boolean,byte1:tinyint,short1:smallint,int1:int," +
- "long1:bigint,float1:float,double1:double,bytes1:binary,string1:string," +
- "middle:struct<list:array<struct<int1:int,string1:string>>>," +
- "list:array<struct<int1:int,string1:string>>," +
- "map:map<string,struct<int1:int,string1:string>>>";
-
- private static final String[] TEST1_DATA = new String[] {
- "false,1,1024,65536,9223372036854775807,1.0,-15.0,[0, 1, 2, 3, 4],hi,[1,bye, 2,sigh],[3,good, 4,bad],{}",
- "true,100,2048,65536,9223372036854775807,2.0,-5.0,[],bye,[1,bye, 2,sigh]," +
- "[100000000,cat, -100000,in, 1234,hat],{chani=5,chani, mauddib=1,mauddib}" };
-
- private static final String[] TEST1_PROJECTED_DATA = new String[] {
- "{},[3,good, 4,bad],[1,bye, 2,sigh],hi,[0, 1, 2, 3, 4],-15.0,1.0,9223372036854775807,65536,1024,1,false",
- "{chani=5,chani, mauddib=1,mauddib},[100000000,cat, -100000,in, 1234,hat],[1,bye, 2,sigh],bye," +
- "[],-5.0,2.0,9223372036854775807,65536,2048,100,true" };
-
- private static final String TEST1_INVALID_SCHEMA = "struct<boolean1:int,byte1:tinyint,short1:smallint,int1:int," +
- "long1:bigint,float1:float,double1:double,bytes1:binary,string1:string," +
- "middle:struct<list:array<struct<int1:int,string1:string>>>," +
- "list:array<struct<int1:int,string1:string>>," +
- "map:map<string,struct<int1:int,string1:string>>>";
-
- @Test(expected = FileNotFoundException.class)
- public void testInvalidPath() throws IOException{
-
- rowOrcInputFormat = new RowOrcInputFormat("TestOrcFile.test2.orc", TEST1_SCHEMA, new Configuration());
- rowOrcInputFormat.openInputFormat();
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
- rowOrcInputFormat.open(inputSplits[0]);
-
- }
-
- @Test(expected = RuntimeException.class)
- public void testInvalidSchema() throws IOException{
-
- assert(test1URL != null);
- rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_INVALID_SCHEMA, new Configuration());
- rowOrcInputFormat.openInputFormat();
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
- rowOrcInputFormat.open(inputSplits[0]);
-
- }
-
- @Test(expected = IndexOutOfBoundsException.class)
- public void testInvalidProjection() throws IOException{
-
- assert(test1URL != null);
- rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration());
- int[] projectionMask = {14};
- rowOrcInputFormat.setFieldMapping(projectionMask);
- }
-
- @Test
- public void testMajorDataTypes() throws IOException{
-
- // test for boolean,byte,short,int,long,float,double,bytes,string,struct,list,map
- assert(test1URL != null);
- rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration());
- rowOrcInputFormat.openInputFormat();
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
-
- Assert.assertEquals(inputSplits.length, 1);
-
- Row row = null;
- int count = 0;
- for (FileInputSplit split : inputSplits) {
- rowOrcInputFormat.open(split);
- while (!rowOrcInputFormat.reachedEnd()) {
- row = rowOrcInputFormat.nextRecord(row);
- Assert.assertEquals(row.toString(), TEST1_DATA[count++]);
- }
- }
- }
-
- @Test
- public void testProjection() throws IOException{
-
- assert(test1URL != null);
- rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration());
- int[] projectionMask = {11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0};
- rowOrcInputFormat.setFieldMapping(projectionMask);
- rowOrcInputFormat.openInputFormat();
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
-
- Assert.assertEquals(inputSplits.length, 1);
-
- Row row = null;
- int count = 0;
- for (FileInputSplit split : inputSplits) {
- rowOrcInputFormat.open(split);
- while (!rowOrcInputFormat.reachedEnd()) {
- row = rowOrcInputFormat.nextRecord(row);
- Assert.assertEquals(row.toString(), TEST1_PROJECTED_DATA[count++]);
- }
- }
-
- }
-
- @Test
- public void testTimeStampAndDate() throws IOException{
-
- URL expectedDataURL = getClass().getClassLoader().getResource("TestOrcFile.testDate1900.dat");
- assert(expectedDataURL != null);
- List<String> expectedTimeStampAndDate = Files.readAllLines(Paths.get(expectedDataURL.getPath()));
-
- URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.testDate1900.orc");
- assert(testInputURL != null);
- String path = testInputURL.getPath();
- String schema = "struct<time:timestamp,date:date>";
- rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
- rowOrcInputFormat.openInputFormat();
-
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
-
- Assert.assertEquals(inputSplits.length, 1);
-
- List<Object> actualTimeStampAndDate = new ArrayList<>();
-
- Row row = null;
- int count = 0;
- for (FileInputSplit split : inputSplits) {
- rowOrcInputFormat.open(split);
- while (!rowOrcInputFormat.reachedEnd()) {
- row = rowOrcInputFormat.nextRecord(row);
- count++;
- if (count <= 10000) {
- actualTimeStampAndDate.add(row.getField(0) + "," + row.getField(1));
- }
-
- }
- }
- Assert.assertEquals(count, 70000);
- Assert.assertEquals(expectedTimeStampAndDate.size(), actualTimeStampAndDate.size());
- Assert.assertEquals(expectedTimeStampAndDate.toString(), actualTimeStampAndDate.toString());
-
- }
-
- @Test
- public void testDecimal() throws IOException{
-
- URL expectedDataURL = getClass().getClassLoader().getResource("decimal.dat");
- List<String> expectedDecimal = Files.readAllLines(Paths.get(expectedDataURL.getPath()));
-
- URL testInputURL = getClass().getClassLoader().getResource("decimal.orc");
- assert(testInputURL != null);
- String path = testInputURL.getPath();
- String schema = "struct<_col0:decimal(10,5)>";
- rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
- rowOrcInputFormat.openInputFormat();
-
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
-
- Assert.assertEquals(inputSplits.length, 1);
-
- List<Object> actualDecimal = new ArrayList<>();
-
- Row row = null;
- for (FileInputSplit split : inputSplits) {
- rowOrcInputFormat.open(split);
- while (!rowOrcInputFormat.reachedEnd()) {
- row = rowOrcInputFormat.nextRecord(row);
- actualDecimal.add(row.getField(0));
- }
- }
-
- Assert.assertEquals(expectedDecimal.size(), actualDecimal.size());
- Assert.assertEquals(expectedDecimal.toString(), actualDecimal.toString());
-
- }
-
- @Test
- public void testEmptyFile() throws IOException{
-
- URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.emptyFile.orc");
- assert(testInputURL != null);
- String path = testInputURL.getPath();
-
- rowOrcInputFormat = new RowOrcInputFormat(path, TEST1_SCHEMA, new Configuration());
- rowOrcInputFormat.openInputFormat();
-
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
-
- Assert.assertEquals(inputSplits.length, 1);
-
- Row row = new Row(1);
- int count = 0;
- for (FileInputSplit split : inputSplits) {
- rowOrcInputFormat.open(split);
- while (!rowOrcInputFormat.reachedEnd()) {
- row = rowOrcInputFormat.nextRecord(row);
- count++;
- }
- }
-
- Assert.assertEquals(count, 0);
- }
-
- @Test
- public void testLargeFile() throws IOException{
-
- URL testInputURL = getClass().getClassLoader().getResource("demo-11-none.orc");
- assert(testInputURL != null);
- String path = testInputURL.getPath();
- String schema = "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int," +
- "_col5:string,_col6:int,_col7:int,_col8:int>";
-
- rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
- rowOrcInputFormat.openInputFormat();
-
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
-
- Assert.assertEquals(inputSplits.length, 1);
-
- Row row = new Row(1);
- int count = 0;
- for (FileInputSplit split : inputSplits) {
- rowOrcInputFormat.open(split);
- while (!rowOrcInputFormat.reachedEnd()) {
- row = rowOrcInputFormat.nextRecord(row);
- count++;
- }
- }
-
- Assert.assertEquals(count, 1920800);
- }
-
- @Test
- public void testProducedType() throws IOException{
-
- assert(test1URL != null);
- rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration());
- rowOrcInputFormat.openInputFormat();
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
-
- Assert.assertEquals(inputSplits.length, 1);
-
- rowOrcInputFormat.open(inputSplits[0]);
-
- TypeInformation<Row> type = rowOrcInputFormat.getProducedType();
- Assert.assertEquals(type.toString(), "Row(boolean1: Boolean, byte1: Byte, short1: Short, int1: Integer," +
- " long1: Long, float1: Float, double1: Double, bytes1: byte[], string1: String," +
- " middle: Row(list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>)," +
- " list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>," +
- " map: Map<String, Row(int1: Integer, string1: String)>)");
-
- }
-
- @Test
- public void testProducedTypeWithProjection() throws IOException{
-
- assert(test1URL != null);
- rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration());
- int[] projectionMask = {9, 10, 11};
- rowOrcInputFormat.setFieldMapping(projectionMask);
- rowOrcInputFormat.openInputFormat();
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
-
- Assert.assertEquals(inputSplits.length, 1);
-
- rowOrcInputFormat.open(inputSplits[0]);
-
- TypeInformation<Row> type = rowOrcInputFormat.getProducedType();
- Assert.assertEquals(type.toString(), "Row(middle: Row(list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>)," +
- " list: ObjectArrayTypeInfo<Row(int1: Integer, string1: String)>," +
- " map: Map<String, Row(int1: Integer, string1: String)>)");
-
- }
-
- @Test
- public void testLongList() throws Exception {
-
- URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.listlong.orc");
- assert(testInputURL != null);
- String path = testInputURL.getPath();
- String schema = "struct<mylist1:array<bigint>>";
-
- rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
-
- rowOrcInputFormat.openInputFormat();
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
-
- Assert.assertEquals(inputSplits.length, 1);
-
- Row row = null;
- long count = 0;
- for (FileInputSplit split : inputSplits) {
- rowOrcInputFormat.open(split);
- while (!rowOrcInputFormat.reachedEnd()) {
- row = rowOrcInputFormat.nextRecord(row);
- Assert.assertEquals(row.getArity(), 1);
- Object object = row.getField(0);
- long[] l = (long[]) object;
-
- Assert.assertEquals(l.length, 2);
- if (count < 50) {
- Assert.assertArrayEquals(l, new long[]{count, count + 1});
- }
- else {
- Assert.assertArrayEquals(l, new long[]{0L, 0L});
- }
- count = count + 2;
- }
- }
- Assert.assertEquals(count, 100);
- }
-
- @Test
- public void testStringList() throws Exception {
-
- URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.liststring.orc");
- assert(testInputURL != null);
- String path = testInputURL.getPath();
- String schema = "struct<mylist1:array<string>>";
-
- rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
-
- rowOrcInputFormat.openInputFormat();
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
-
- Assert.assertEquals(inputSplits.length, 1);
-
- Row row = null;
- long count = 0;
- for (FileInputSplit split : inputSplits) {
- rowOrcInputFormat.open(split);
- while (!rowOrcInputFormat.reachedEnd()) {
- row = rowOrcInputFormat.nextRecord(row);
- Assert.assertEquals(row.getArity(), 1);
- Object object = row.getField(0);
- String[] l = (String[]) object;
-
- Assert.assertEquals(l.length, 2);
- Assert.assertArrayEquals(l, new String[]{"hello" + count, "hello" + (count + 1) });
- count = count + 2;
- }
- }
- Assert.assertEquals(count, 200);
- }
-
- @Test
- public void testListOfListOfStructOfLong() throws Exception {
- URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.listliststructlong.orc");
- assert(testInputURL != null);
- String path = testInputURL.getPath();
- String schema = "struct<mylist1:array<array<struct<mylong1:bigint>>>>";
-
- rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
-
- rowOrcInputFormat.openInputFormat();
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1);
-
- Assert.assertEquals(inputSplits.length, 1);
-
- Row row = null;
- long count = 0;
- for (FileInputSplit split : inputSplits) {
- rowOrcInputFormat.open(split);
- while (!rowOrcInputFormat.reachedEnd()) {
-
- row = rowOrcInputFormat.nextRecord(row);
- Assert.assertEquals(row.getArity(), 1);
-
- Object[] objects = (Object[]) row.getField(0);
- Assert.assertEquals(objects.length, 1);
-
- Object[] objects1 = (Object[]) objects[0];
- Assert.assertEquals(objects1.length, 1);
-
- Row[] nestedRows = Arrays.copyOf(objects1, objects1.length, Row[].class);
- Assert.assertEquals(nestedRows.length, 1);
-
- Assert.assertEquals(nestedRows[0].getArity(), 1);
-
- Assert.assertEquals(nestedRows[0].getField(0), count);
-
- count++;
- }
- }
- Assert.assertEquals(count, 100);
- }
-
- @Test
- public void testSplit() throws IOException{
-
- URL testInputURL = getClass().getClassLoader().getResource("demo-11-none.orc");
- assert(testInputURL != null);
- String path = testInputURL.getPath();
- String schema = "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int," +
- "_col5:string,_col6:int,_col7:int,_col8:int>";
-
- rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration());
- rowOrcInputFormat.openInputFormat();
-
- FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(10);
-
- Assert.assertEquals(inputSplits.length, 10);
-
- Row row = null;
- int countTotalRecords = 0;
- for (FileInputSplit split : inputSplits) {
- rowOrcInputFormat.open(split);
- int countSplitRecords = 0;
- while (!rowOrcInputFormat.reachedEnd()) {
- row = rowOrcInputFormat.nextRecord(row);
- countSplitRecords++;
- }
- Assert.assertNotEquals(countSplitRecords, 1920800);
- countTotalRecords += countSplitRecords;
- }
-
- Assert.assertEquals(countTotalRecords, 1920800);
- }
-
-}
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc
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diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc
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diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.listliststructlong.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.listliststructlong.orc
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diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.liststring.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.liststring.orc
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[5/9] flink git commit: [FLINK-2170] [connectors] Add
OrcRowInputFormat and OrcTableSource.
Posted by fh...@apache.org.
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.orc
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diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.orc
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http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/resources/decimal.dat
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diff --git a/flink-connectors/flink-orc/src/test/resources/decimal.dat b/flink-connectors/flink-orc/src/test/resources/decimal.dat
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--- a/flink-connectors/flink-orc/src/test/resources/decimal.dat
+++ /dev/null
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-0.1
-1.2
-2.3
-3.4
-4.5
-5.6
-6.7
-7.8
-8.9
-9.1
-10.11
-11.12
-12.13
-13.14
-14.15
-15.16
-16.17
-17.18
-18.19
-19.2
-20.21
-21.22
-22.23
-23.24
-24.25
-25.26
-26.27
-27.28
-28.29
-29.3
-30.31
-31.32
-32.33
-33.34
-34.35
-35.36
-36.37
-37.38
-38.39
-39.4
-40.41
-41.42
-42.43
-43.44
-44.45
-45.46
-46.47
-47.48
-48.49
-49.5
-50.51
-51.52
-52.53
-53.54
-54.55
-55.56
-56.57
-57.58
-58.59
-59.6
-60.61
-61.62
-62.63
-63.64
-64.65
-65.66
-66.67
-67.68
-68.69
-69.7
-70.71
-71.72
-72.73
-73.74
-74.75
-75.76
-76.77
-77.78
-78.79
-79.8
-80.81
-81.82
-82.83
-83.84
-84.85
-85.86
-86.87
-87.88
-88.89
-89.9
-90.91
-91.92
-92.93
-93.94
-94.95
-95.96
-96.97
-97.98
-98.99
-99.1
-100.101
-101.102
-102.103
-103.104
-104.105
-105.106
-106.107
-107.108
-108.109
-109.11
-110.111
-111.112
-112.113
-113.114
-114.115
-115.116
-116.117
-117.118
-118.119
-119.12
-120.121
-121.122
-122.123
-123.124
-124.125
-125.126
-126.127
-127.128
-128.129
-129.13
-130.131
-131.132
-132.133
-133.134
-134.135
-135.136
-136.137
-137.138
-138.139
-139.14
-140.141
-141.142
-142.143
-143.144
-144.145
-145.146
-146.147
-147.148
-148.149
-149.15
-150.151
-151.152
-152.153
-153.154
-154.155
-155.156
-156.157
-157.158
-158.159
-159.16
-160.161
-161.162
-162.163
-163.164
-164.165
-165.166
-166.167
-167.168
-168.169
-169.17
-170.171
-171.172
-172.173
-173.174
-174.175
-175.176
-176.177
-177.178
-178.179
-179.18
-180.181
-181.182
-182.183
-183.184
-184.185
-185.186
-186.187
-187.188
-188.189
-189.19
-190.191
-191.192
-192.193
-193.194
-194.195
-195.196
-196.197
-197.198
-198.199
-199.2
-200.201
-201.202
-202.203
-203.204
-204.205
-205.206
-206.207
-207.208
-208.209
-209.21
-210.211
-211.212
-212.213
-213.214
-214.215
-215.216
-216.217
-217.218
-218.219
-219.22
-220.221
-221.222
-222.223
-223.224
-224.225
-225.226
-226.227
-227.228
-228.229
-229.23
-230.231
-231.232
-232.233
-233.234
-234.235
-235.236
-236.237
-237.238
-238.239
-239.24
-240.241
-241.242
-242.243
-243.244
-244.245
-245.246
-246.247
-247.248
-248.249
-249.25
-250.251
-251.252
-252.253
-253.254
-254.255
-255.256
-256.257
-257.258
-258.259
-259.26
-260.261
-261.262
-262.263
-263.264
-264.265
-265.266
-266.267
-267.268
-268.269
-269.27
-270.271
-271.272
-272.273
-273.274
-274.275
-275.276
-276.277
-277.278
-278.279
-279.28
-280.281
-281.282
-282.283
-283.284
-284.285
-285.286
-286.287
-287.288
-288.289
-289.29
-290.291
-291.292
-292.293
-293.294
-294.295
-295.296
-296.297
-297.298
-298.299
-299.3
-300.301
-301.302
-302.303
-303.304
-304.305
-305.306
-306.307
-307.308
-308.309
-309.31
-310.311
-311.312
-312.313
-313.314
-314.315
-315.316
-316.317
-317.318
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http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/resources/decimal.orc
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/resources/decimal.orc b/flink-connectors/flink-orc/src/test/resources/decimal.orc
deleted file mode 100644
index cb0f7b9..0000000
Binary files a/flink-connectors/flink-orc/src/test/resources/decimal.orc and /dev/null differ
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/resources/demo-11-none.orc
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/resources/demo-11-none.orc b/flink-connectors/flink-orc/src/test/resources/demo-11-none.orc
deleted file mode 100644
index 1d1d714..0000000
Binary files a/flink-connectors/flink-orc/src/test/resources/demo-11-none.orc and /dev/null differ
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/resources/test-data-decimal.orc
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/resources/test-data-decimal.orc b/flink-connectors/flink-orc/src/test/resources/test-data-decimal.orc
new file mode 100644
index 0000000..cb0f7b9
Binary files /dev/null and b/flink-connectors/flink-orc/src/test/resources/test-data-decimal.orc differ
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/resources/test-data-flat.orc
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/resources/test-data-flat.orc b/flink-connectors/flink-orc/src/test/resources/test-data-flat.orc
new file mode 100644
index 0000000..db0ff15
Binary files /dev/null and b/flink-connectors/flink-orc/src/test/resources/test-data-flat.orc differ
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/resources/test-data-nested.orc
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/resources/test-data-nested.orc b/flink-connectors/flink-orc/src/test/resources/test-data-nested.orc
new file mode 100644
index 0000000..4fb0bef
Binary files /dev/null and b/flink-connectors/flink-orc/src/test/resources/test-data-nested.orc differ
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/resources/test-data-nestedlist.orc
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/resources/test-data-nestedlist.orc b/flink-connectors/flink-orc/src/test/resources/test-data-nestedlist.orc
new file mode 100644
index 0000000..0f3f9c8
Binary files /dev/null and b/flink-connectors/flink-orc/src/test/resources/test-data-nestedlist.orc differ
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-connectors/flink-orc/src/test/resources/test-data-timetypes.orc
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/test/resources/test-data-timetypes.orc b/flink-connectors/flink-orc/src/test/resources/test-data-timetypes.orc
new file mode 100644
index 0000000..f51ffdb
Binary files /dev/null and b/flink-connectors/flink-orc/src/test/resources/test-data-timetypes.orc differ
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java
----------------------------------------------------------------------
diff --git a/flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java b/flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java
index 1d4b8a1..24ccfb1 100644
--- a/flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java
+++ b/flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java
@@ -355,4 +355,21 @@ public class RowTypeInfo extends TupleTypeInfoBase<Row> {
comparatorOrders);
}
}
+
+ /**
+ * Creates a {@link RowTypeInfo} with projected fields.
+ *
+ * @param rowType The original RowTypeInfo whose fields are projected
+ * @param fieldMapping The field mapping of the projection
+ * @return A RowTypeInfo with projected fields.
+ */
+ public static RowTypeInfo projectFields(RowTypeInfo rowType, int[] fieldMapping) {
+ TypeInformation[] fieldTypes = new TypeInformation[fieldMapping.length];
+ String[] fieldNames = new String[fieldMapping.length];
+ for (int i = 0; i < fieldMapping.length; i++) {
+ fieldTypes[i] = rowType.getTypeAt(fieldMapping[i]);
+ fieldNames[i] = rowType.getFieldNames()[fieldMapping[i]];
+ }
+ return new RowTypeInfo(fieldTypes, fieldNames);
+ }
}
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/logical/FlinkLogicalTableSourceScan.scala
----------------------------------------------------------------------
diff --git a/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/logical/FlinkLogicalTableSourceScan.scala b/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/logical/FlinkLogicalTableSourceScan.scala
index 337025f..ca8e569 100644
--- a/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/logical/FlinkLogicalTableSourceScan.scala
+++ b/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/logical/FlinkLogicalTableSourceScan.scala
@@ -29,7 +29,7 @@ import org.apache.flink.table.api.TableException
import org.apache.flink.table.calcite.FlinkTypeFactory
import org.apache.flink.table.plan.nodes.FlinkConventions
import org.apache.flink.table.plan.schema.{BatchTableSourceTable, StreamTableSourceTable, TableSourceTable}
-import org.apache.flink.table.sources.{TableSource, TableSourceUtil}
+import org.apache.flink.table.sources.{FilterableTableSource, TableSource, TableSourceUtil}
import scala.collection.JavaConverters._
@@ -62,7 +62,19 @@ class FlinkLogicalTableSourceScan(
override def computeSelfCost(planner: RelOptPlanner, metadata: RelMetadataQuery): RelOptCost = {
val rowCnt = metadata.getRowCount(this)
- planner.getCostFactory.makeCost(rowCnt, rowCnt, rowCnt * estimateRowSize(getRowType))
+
+ val adjustedCnt: Double = tableSource match {
+ case f: FilterableTableSource[_] if f.isFilterPushedDown =>
+ // ensure we prefer FilterableTableSources with pushed-down filters.
+ rowCnt - 1.0
+ case _ =>
+ rowCnt
+ }
+
+ planner.getCostFactory.makeCost(
+ adjustedCnt,
+ adjustedCnt,
+ adjustedCnt * estimateRowSize(getRowType))
}
override def explainTerms(pw: RelWriter): RelWriter = {
http://git-wip-us.apache.org/repos/asf/flink/blob/200612ee/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/util/RexProgramExtractor.scala
----------------------------------------------------------------------
diff --git a/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/util/RexProgramExtractor.scala b/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/util/RexProgramExtractor.scala
index 9c06135..a377a95 100644
--- a/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/util/RexProgramExtractor.scala
+++ b/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/util/RexProgramExtractor.scala
@@ -202,6 +202,18 @@ class RexNodeToExpressionConverter(
// convert from BigDecimal to Double
literal.getValueAs(classOf[java.lang.Double])
+ case _@BasicTypeInfo.STRING_TYPE_INFO =>
+ // convert from NlsString to String
+ literal.getValueAs(classOf[java.lang.String])
+
+ case _@BasicTypeInfo.BOOLEAN_TYPE_INFO =>
+ // convert to Boolean
+ literal.getValueAs(classOf[java.lang.Boolean])
+
+ case _@BasicTypeInfo.BIG_DEC_TYPE_INFO =>
+ // convert to BigDecimal
+ literal.getValueAs(classOf[java.math.BigDecimal])
+
case _ => literal.getValue
}
[4/9] flink git commit: [FLINK-2170] [connectors] Add
OrcRowInputFormat and OrcTableSource.
Posted by fh...@apache.org.
[FLINK-2170] [connectors] Add OrcRowInputFormat and OrcTableSource.
This closes #4670.
Project: http://git-wip-us.apache.org/repos/asf/flink/repo
Commit: http://git-wip-us.apache.org/repos/asf/flink/commit/edbf8c9e
Tree: http://git-wip-us.apache.org/repos/asf/flink/tree/edbf8c9e
Diff: http://git-wip-us.apache.org/repos/asf/flink/diff/edbf8c9e
Branch: refs/heads/master
Commit: edbf8c9e2810e8686eb4c81458011822dbaac6a7
Parents: 5017c67
Author: uybhatti <uy...@gmail.com>
Authored: Fri Mar 3 23:55:22 2017 +0100
Committer: Fabian Hueske <fh...@apache.org>
Committed: Wed Nov 22 23:11:21 2017 +0100
----------------------------------------------------------------------
flink-connectors/flink-orc/pom.xml | 152 +
.../org/apache/flink/orc/OrcTableSource.java | 128 +
.../java/org/apache/flink/orc/OrcUtils.java | 2229 ++++
.../org/apache/flink/orc/RowOrcInputFormat.java | 241 +
.../apache/flink/orc/OrcTableSourceITCase.java | 142 +
.../apache/flink/orc/OrcTableSourceTest.java | 113 +
.../apache/flink/orc/RowOrcInputFormatTest.java | 472 +
.../test/resources/TestOrcFile.emptyFile.orc | Bin 0 -> 523 bytes
.../TestOrcFile.listliststructlong.orc | Bin 0 -> 845 bytes
.../src/test/resources/TestOrcFile.listlong.orc | Bin 0 -> 627 bytes
.../test/resources/TestOrcFile.liststring.orc | Bin 0 -> 1298 bytes
.../src/test/resources/TestOrcFile.test1.orc | Bin 0 -> 1711 bytes
.../test/resources/TestOrcFile.testDate1900.dat | 10000 +++++++++++++++++
.../test/resources/TestOrcFile.testDate1900.orc | Bin 0 -> 30941 bytes
.../flink-orc/src/test/resources/decimal.dat | 6000 ++++++++++
.../flink-orc/src/test/resources/decimal.orc | Bin 0 -> 16337 bytes
.../src/test/resources/demo-11-none.orc | Bin 0 -> 5147970 bytes
.../src/test/resources/log4j-test.properties | 27 +
flink-connectors/pom.xml | 1 +
19 files changed, 19505 insertions(+)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/pom.xml
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/pom.xml b/flink-connectors/flink-orc/pom.xml
new file mode 100644
index 0000000..1ac7eaa
--- /dev/null
+++ b/flink-connectors/flink-orc/pom.xml
@@ -0,0 +1,152 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!--
+Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements. See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership. The ASF licenses this file
+to you under the Apache License, Version 2.0 (the
+"License"); you may not use this file except in compliance
+with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing,
+software distributed under the License is distributed on an
+"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+KIND, either express or implied. See the License for the
+specific language governing permissions and limitations
+under the License.
+-->
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+ xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
+
+ <modelVersion>4.0.0</modelVersion>
+
+ <parent>
+ <groupId>org.apache.flink</groupId>
+ <artifactId>flink-connectors</artifactId>
+ <version>1.4-SNAPSHOT</version>
+ <relativePath>..</relativePath>
+ </parent>
+
+ <artifactId>flink-orc_${scala.binary.version}</artifactId>
+ <name>flink-orc</name>
+
+ <packaging>jar</packaging>
+
+ <dependencies>
+
+ <!-- core dependencies -->
+
+ <dependency>
+ <groupId>org.apache.flink</groupId>
+ <artifactId>flink-table_${scala.binary.version}</artifactId>
+ <version>${project.version}</version>
+ <scope>compile</scope>
+ </dependency>
+
+ <dependency>
+ <groupId>org.apache.flink</groupId>
+ <artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
+ <version>${project.version}</version>
+ <scope>compile</scope>
+ </dependency>
+
+ <dependency>
+ <groupId>org.apache.orc</groupId>
+ <artifactId>orc-core</artifactId>
+ <version>1.4.0</version>
+ </dependency>
+
+ <!-- test dependencies -->
+
+ <dependency>
+ <groupId>org.apache.flink</groupId>
+ <artifactId>flink-test-utils-junit</artifactId>
+ <version>${project.version}</version>
+ <scope>test</scope>
+ </dependency>
+
+ <dependency>
+ <groupId>org.apache.flink</groupId>
+ <artifactId>flink-test-utils_${scala.binary.version}</artifactId>
+ <version>${project.version}</version>
+ <scope>test</scope>
+ </dependency>
+
+ <dependency>
+ <groupId>org.apache.flink</groupId>
+ <artifactId>flink-clients_${scala.binary.version}</artifactId>
+ <version>${project.version}</version>
+ <scope>test</scope>
+ </dependency>
+
+ <dependency>
+ <groupId>org.apache.flink</groupId>
+ <artifactId>flink-core</artifactId>
+ <version>${project.version}</version>
+ <scope>test</scope>
+ <type>test-jar</type>
+ </dependency>
+ </dependencies>
+
+ <build>
+
+ <pluginManagement>
+ <plugins>
+ <!--This plugin's configuration is used to store Eclipse m2e settings only. It has no influence on the Maven build itself.-->
+ <plugin>
+ <groupId>org.eclipse.m2e</groupId>
+ <artifactId>lifecycle-mapping</artifactId>
+ <version>1.0.0</version>
+ <configuration>
+ <lifecycleMappingMetadata>
+ <pluginExecutions>
+ <pluginExecution>
+ <pluginExecutionFilter>
+ <groupId>org.apache.maven.plugins</groupId>
+ <artifactId>maven-assembly-plugin</artifactId>
+ <versionRange>[2.4,)</versionRange>
+ <goals>
+ <goal>single</goal>
+ </goals>
+ </pluginExecutionFilter>
+ <action>
+ <ignore/>
+ </action>
+ </pluginExecution>
+ <pluginExecution>
+ <pluginExecutionFilter>
+ <groupId>org.apache.maven.plugins</groupId>
+ <artifactId>maven-clean-plugin</artifactId>
+ <versionRange>[1,)</versionRange>
+ <goals>
+ <goal>clean</goal>
+ </goals>
+ </pluginExecutionFilter>
+ <action>
+ <ignore/>
+ </action>
+ </pluginExecution>
+ <pluginExecution>
+ <pluginExecutionFilter>
+ <groupId>org.apache.avro</groupId>
+ <artifactId>avro-maven-plugin</artifactId>
+ <versionRange>[1.7.7,)</versionRange>
+ <goals>
+ <goal>schema</goal>
+ </goals>
+ </pluginExecutionFilter>
+ <action>
+ <ignore/>
+ </action>
+ </pluginExecution>
+ </pluginExecutions>
+ </lifecycleMappingMetadata>
+ </configuration>
+ </plugin>
+ </plugins>
+ </pluginManagement>
+ </build>
+
+</project>
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java
new file mode 100644
index 0000000..0454ba4
--- /dev/null
+++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java
@@ -0,0 +1,128 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.orc;
+
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.java.DataSet;
+import org.apache.flink.api.java.ExecutionEnvironment;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+import org.apache.flink.table.sources.BatchTableSource;
+import org.apache.flink.table.sources.ProjectableTableSource;
+import org.apache.flink.table.sources.TableSource;
+import org.apache.flink.types.Row;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.orc.TypeDescription;
+
+/**
+ * Creates a TableSource to read ORC file.
+ *
+ * <p>The ORC file path and schema is passed during {@link OrcTableSource} construction. configuration is optional.
+ *
+ * <p>The OrcTableSource is used as shown in the example below.
+ *
+ * <pre>
+ * {@code
+ * String path = testInputURL.getPath();
+ * String schema = "struct<col1:boolean,col2:tinyint,col3:smallint,col4:int>"
+ * OrcTableSource orcSrc = new OrcTableSource(path, schema);
+ * tEnv.registerTableSource("orcTable", orcSrc);
+ * Table res = tableEnv.sql("SELECT * FROM orcTable");
+ * }
+ * </pre>
+ */
+public class OrcTableSource implements BatchTableSource<Row>, ProjectableTableSource<Row> {
+
+ private String path;
+ private TypeDescription orcSchema;
+ private RowTypeInfo typeInfo;
+ private Configuration orcConfig;
+ private int[] fieldMapping;
+
+ /**
+ * The ORC file path and schema.
+ *
+ * @param path the path of orc file
+ * @param orcSchema schema of orc file
+ */
+ public OrcTableSource(String path, String orcSchema) {
+ this(path, orcSchema, new Configuration());
+ }
+
+ /**
+ * The file path and schema of orc file, and configuration to read orc file .
+ *
+ * @param path the path of orc file
+ * @param orcSchema schema of orc file
+ * @param orcConfig configuration to read orc file
+ */
+ public OrcTableSource(String path, String orcSchema, Configuration orcConfig) {
+ this(path, TypeDescription.fromString(orcSchema), orcConfig);
+ }
+
+ public OrcTableSource(String path, TypeDescription orcSchema, Configuration orcConfig) {
+ this.path = path;
+ this.orcSchema = orcSchema;
+ this.orcConfig = orcConfig;
+
+ this.typeInfo = (RowTypeInfo) OrcUtils.schemaToTypeInfo(this.orcSchema);
+
+ }
+
+ @Override
+ public DataSet<Row> getDataSet(ExecutionEnvironment execEnv) {
+
+ RowOrcInputFormat orcIF = new RowOrcInputFormat(path, orcSchema, orcConfig);
+ if (fieldMapping != null) {
+ orcIF.setFieldMapping(fieldMapping);
+ }
+ return execEnv.createInput(orcIF);
+ }
+
+ @Override
+ public TypeInformation<Row> getReturnType() {
+ return typeInfo;
+ }
+
+ @Override
+ public TableSource<Row> projectFields(int[] fields) {
+
+ OrcTableSource copy = new OrcTableSource(path, orcSchema, orcConfig);
+
+ // set field mapping
+ copy.fieldMapping = fields;
+
+ // adapt TypeInfo
+ TypeInformation[] fieldTypes = new TypeInformation[fields.length];
+ String[] fieldNames = new String[fields.length];
+ for (int i = 0; i < fields.length; i++) {
+ fieldTypes[i] = this.typeInfo.getTypeAt(fields[i]);
+ fieldNames[i] = this.typeInfo.getFieldNames()[fields[i]];
+ }
+ copy.typeInfo = new RowTypeInfo(fieldTypes, fieldNames);
+
+ return copy;
+ }
+
+ @Override
+ public String explainSource() {
+ return "ORC Source file at path " + this.path + " with schema " + this.orcSchema;
+ }
+
+}
http://git-wip-us.apache.org/repos/asf/flink/blob/edbf8c9e/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java
----------------------------------------------------------------------
diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java
new file mode 100644
index 0000000..c7557c7
--- /dev/null
+++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java
@@ -0,0 +1,2229 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.orc;
+
+import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
+import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo;
+import org.apache.flink.api.common.typeinfo.SqlTimeTypeInfo;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.java.typeutils.MapTypeInfo;
+import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+import org.apache.flink.types.Row;
+
+import org.apache.hadoop.hive.common.type.HiveDecimal;
+import org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.ColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.ListColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.MapColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.StructColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.TimestampColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
+
+import org.apache.orc.TypeDescription;
+
+import java.lang.reflect.Array;
+import java.math.BigDecimal;
+import java.sql.Date;
+import java.sql.Timestamp;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+
+/**
+ * A class that provides utility methods for orc file reading.
+ */
+public class OrcUtils {
+
+ /**
+ * Convert ORC schema types to Flink types.
+ *
+ * @param schema schema of orc file
+ *
+ */
+ public static TypeInformation schemaToTypeInfo(TypeDescription schema) {
+ switch (schema.getCategory()) {
+ case BOOLEAN:
+ return BasicTypeInfo.BOOLEAN_TYPE_INFO;
+ case BYTE:
+ return BasicTypeInfo.BYTE_TYPE_INFO;
+ case SHORT:
+ return BasicTypeInfo.SHORT_TYPE_INFO;
+ case INT:
+ return BasicTypeInfo.INT_TYPE_INFO;
+ case LONG:
+ return BasicTypeInfo.LONG_TYPE_INFO;
+ case FLOAT:
+ return BasicTypeInfo.FLOAT_TYPE_INFO;
+ case DOUBLE:
+ return BasicTypeInfo.DOUBLE_TYPE_INFO;
+ case STRING:
+ case CHAR:
+ case VARCHAR:
+ return BasicTypeInfo.STRING_TYPE_INFO;
+ case DATE:
+ return SqlTimeTypeInfo.DATE;
+ case TIMESTAMP:
+ return SqlTimeTypeInfo.TIMESTAMP;
+ case BINARY:
+ return PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO;
+ case STRUCT:
+ List<TypeDescription> fieldSchemas = schema.getChildren();
+ TypeInformation[] fieldTypes = new TypeInformation[fieldSchemas.size()];
+ for (int i = 0; i < fieldSchemas.size(); i++) {
+ fieldTypes[i] = schemaToTypeInfo(fieldSchemas.get(i));
+ }
+ String[] fieldNames = schema.getFieldNames().toArray(new String[]{});
+ return new RowTypeInfo(fieldTypes, fieldNames);
+ case LIST:
+ TypeDescription elementSchema = schema.getChildren().get(0);
+ TypeInformation elementType = schemaToTypeInfo(elementSchema);
+ return ObjectArrayTypeInfo.getInfoFor(elementType);
+ case MAP:
+ TypeDescription keySchema = schema.getChildren().get(0);
+ TypeDescription valSchema = schema.getChildren().get(1);
+ TypeInformation keyType = schemaToTypeInfo(keySchema);
+ TypeInformation valType = schemaToTypeInfo(valSchema);
+ return new MapTypeInfo(keyType, valType);
+ case DECIMAL:
+ return BasicTypeInfo.BIG_DEC_TYPE_INFO;
+ case UNION:
+ throw new UnsupportedOperationException("UNION type not supported yet.");
+ default:
+ throw new IllegalArgumentException("Unknown type " + schema);
+ }
+ }
+
+ /**
+ * Fill rows from orc batch.
+ *
+ * @param rows the batch of rows need to be filled
+ * @param schema schema of orc file
+ * @param batch current orc batch data used to fill the rows
+ * @param fieldMapping field mapping
+ *
+ */
+ public static void fillRows(Object[] rows, TypeDescription schema, VectorizedRowBatch batch, int[] fieldMapping) {
+
+ int totalRowsInBatch = (int) batch.count();
+
+ List<TypeDescription> fieldTypes = schema.getChildren();
+ for (int outIdx = 0; outIdx < fieldMapping.length; outIdx++) {
+ int inIdx = fieldMapping[outIdx];
+ readField(rows, outIdx, fieldTypes.get(inIdx), batch.cols[inIdx], null, Math.min((int) totalRowsInBatch, rows.length));
+ }
+ }
+
+ private static void readField(Object[] rows, int fieldIdx, TypeDescription schema, ColumnVector vector, long[] lengthVector, int childCount) {
+
+ switch (schema.getCategory()) {
+ case BOOLEAN:
+ if (vector.noNulls) {
+ readNonNullBooleanColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ } else {
+ readBooleanColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case BYTE:
+ if (vector.noNulls) {
+ readNonNullByteColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ } else {
+ readByteColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case SHORT:
+ if (vector.noNulls) {
+ readNonNullShortColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ } else {
+ readShortColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case INT:
+ if (vector.noNulls) {
+ readNonNullIntColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ } else {
+ readIntColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case LONG:
+ if (vector.noNulls) {
+ readNonNullLongColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ } else {
+ readLongColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case FLOAT:
+ if (vector.noNulls) {
+ readNonNullFloatColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount);
+ } else {
+ readFloatColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case DOUBLE:
+ if (vector.noNulls) {
+ readNonNullDoubleColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount);
+ } else {
+ readDoubleColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case CHAR:
+ case VARCHAR:
+ case STRING:
+ if (vector.noNulls) {
+ readNonNullStringColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
+ } else {
+ readStringColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case DATE:
+ if (vector.noNulls) {
+ readNonNullDateColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ } else {
+ readDateColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case TIMESTAMP:
+ if (vector.noNulls) {
+ readNonNullTimestampColumn(rows, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount);
+ } else {
+ readTimestampColumn(rows, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case BINARY:
+ if (vector.noNulls) {
+ readNonNullBinaryColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
+ } else {
+ readBinaryColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case DECIMAL:
+ if (vector.noNulls) {
+ readNonNullDecimalColumn(rows, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount);
+ }
+ else {
+ readDecimalColumn(rows, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount);
+ }
+ break;
+ case STRUCT:
+ if (vector.noNulls) {
+ readNonNullStructColumn(rows, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount);
+ } else {
+ readStructColumn(rows, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount);
+ }
+ break;
+ case LIST:
+ if (vector.noNulls) {
+ readNonNullListColumn(rows, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount);
+ }
+ else {
+ readListColumn(rows, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount);
+ }
+ break;
+ case MAP:
+ if (vector.noNulls) {
+ readNonNullMapColumn(rows, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount);
+ }
+ else {
+ readMapColumn(rows, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount);
+ }
+ break;
+ case UNION:
+ throw new UnsupportedOperationException("UNION type not supported yet");
+ default:
+ throw new IllegalArgumentException("Unknown type " + schema);
+ }
+ }
+
+ private static void readNonNullBooleanColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if boolean is directly in a list or not, e.g, array<boolean>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ boolean repeatingValue = vector.vector[0] != 0;
+ fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = vector.vector[i] != 0;
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, vector.vector[i] != 0);
+ }
+ }
+ }
+ } else { // in a list
+ boolean[] temp;
+ int offset = 0;
+ if (vector.isRepeating) { // fill complete list with first value
+ boolean repeatingValue = vector.vector[0] != 0;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new boolean[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new boolean[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new boolean[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = vector.vector[offset++] != 0;
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new boolean[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = vector.vector[offset++] != 0;
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readNonNullByteColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if byte is directly in a list or not, e.g, array<byte>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ byte repeatingValue = (byte) vector.vector[0];
+ fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = (byte) vector.vector[i];
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, (byte) vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ byte[] temp;
+ int offset = 0;
+ if (vector.isRepeating) { // fill complete list with first value
+ byte repeatingValue = (byte) vector.vector[0];
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = (byte) vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = (byte) vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readNonNullShortColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if short is directly in a list or not, e.g, array<short>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ short repeatingValue = (short) vector.vector[0];
+ fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = (short) vector.vector[i];
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, (short) vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ short[] temp;
+ int offset = 0;
+ if (vector.isRepeating) { // fill complete list with first value
+ short repeatingValue = (short) vector.vector[0];
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new short[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new short[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new short[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = (short) vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new short[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = (short) vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readNonNullIntColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if int is directly in a list or not, e.g, array<int>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ int repeatingValue = (int) vector.vector[0];
+ fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = (int) vector.vector[i];
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, (int) vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ int[] temp;
+ int offset = 0;
+ if (vector.isRepeating) { // fill complete list with first value
+ int repeatingValue = (int) vector.vector[0];
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new int[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new int[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new int[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = (int) vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new int[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = (int) vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readNonNullLongColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if long is directly in a list or not, e.g, array<long>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ long repeatingValue = vector.vector[0];
+ fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = vector.vector[i];
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, (Long) vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ long[] temp;
+ int offset = 0;
+ if (vector.isRepeating) { // fill complete list with first value
+ long repeatingValue = vector.vector[0];
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new long[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new long[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new long[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new long[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readNonNullFloatColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if float is directly in a list or not, e.g, array<float>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ float repeatingValue = (float) vector.vector[0];
+ fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = (float) vector.vector[i];
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, (float) vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ float[] temp;
+ int offset = 0;
+ if (vector.isRepeating) { // fill complete list with first value
+ float repeatingValue = (float) vector.vector[0];
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new float[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new float[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new float[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = (float) vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new float[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = (float) vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readNonNullDoubleColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if double is directly in a list or not, e.g, array<double>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ double repeatingValue = vector.vector[0];
+ fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = vector.vector[i];
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ double[] temp;
+ int offset = 0;
+ if (vector.isRepeating) { // fill complete list with first value
+ double repeatingValue = vector.vector[0];
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new double[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new double[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new double[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new double[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readNonNullStringColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) {
+
+ // check if string is directly in a list or not, e.g, array<string>
+ if (lengthVector == null) {
+ if (bytes.isRepeating) { // fill complete column with first value
+ String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0]);
+ fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount);
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i]));
+ }
+ }
+ }
+ }
+ else { // in a list
+ String[] temp;
+ int offset = 0;
+ if (bytes.isRepeating) { // fill list with first value
+ String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0]);
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; i < childCount; i++) {
+ temp = new String[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field
+ for (int i = 0; i < childCount; i++) {
+ temp = new String[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new String[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ offset++;
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field
+ for (int i = 0; offset < childCount; i++) {
+ temp = new String[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ offset++;
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+
+ }
+
+ private static void readNonNullDateColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if date is directly in a list or not, e.g, array<date>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = readDate(vector.vector[0]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[0]));
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = readDate(vector.vector[i]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[i]));
+ }
+ }
+ }
+ } else {
+ Date[] temp;
+ int offset = 0;
+ if (vector.isRepeating) { // fill complete list with first value
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Date[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readDate(vector.vector[0]);
+ }
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Date[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readDate(vector.vector[0]);
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Date[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readDate(vector.vector[offset++]);
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Date[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readDate(vector.vector[offset++]);
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readNonNullTimestampColumn(Object[] rows, int fieldIdx, TimestampColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if timestamp is directly in a list or not, e.g, array<timestamp>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = readTimeStamp(vector.time[0], vector.nanos[0]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, readTimeStamp(vector.time[0], vector.nanos[0]));
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = readTimeStamp(vector.time[i], vector.nanos[i]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, readTimeStamp(vector.time[i], vector.nanos[i]));
+ }
+ }
+ }
+ } else {
+ Timestamp[] temp;
+ int offset = 0;
+ if (vector.isRepeating) { // fill complete list with first value
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Timestamp[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readTimeStamp(vector.time[0], vector.nanos[0]);
+ }
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Timestamp[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readTimeStamp(vector.time[0], vector.nanos[0]);
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Timestamp[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readTimeStamp(vector.time[offset], vector.nanos[offset]);
+ offset++;
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Timestamp[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readTimeStamp(vector.time[offset], vector.nanos[offset]);
+ offset++;
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readNonNullBinaryColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) {
+
+ // check if string is directly in a list or not, e.g, array<string>
+ if (lengthVector == null) {
+ if (bytes.isRepeating) { // fill complete column with first value
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]));
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]));
+ }
+ }
+ }
+ } else {
+ byte[][] temp;
+ int offset = 0;
+ if (bytes.isRepeating) { // fill complete list with first value
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]][];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]);
+ }
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]][];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]);
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]][];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ offset++;
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]][];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ offset++;
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+
+ }
+
+ private static void readNonNullDecimalColumn(Object[] rows, int fieldIdx, DecimalColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if decimal is directly in a list or not, e.g, array<decimal>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ fillColumnWithRepeatingValue(rows, fieldIdx, readBigDecimal(vector.vector[0]), childCount);
+ } else {
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = readBigDecimal(vector.vector[i]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, readBigDecimal(vector.vector[i]));
+ }
+ }
+ }
+ } else {
+ BigDecimal[] temp;
+ int offset = 0;
+ if (vector.isRepeating) { // fill complete list with first value
+ BigDecimal repeatingValue = readBigDecimal(vector.vector[0]);
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new BigDecimal[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ rows[i] = temp;
+ offset += temp.length;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new BigDecimal[(int) lengthVector[i]];
+ Arrays.fill(temp, repeatingValue);
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ offset += temp.length;
+ }
+ }
+ } else {
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new BigDecimal[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readBigDecimal(vector.vector[offset++]);
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new BigDecimal[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readBigDecimal(vector.vector[offset++]);
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+
+ }
+
+ private static void readNonNullStructColumn(Object[] rows, int fieldIdx, StructColumnVector struct, TypeDescription schema, long[] lengthVector, int childCount) {
+
+ List<TypeDescription> childrenTypes = schema.getChildren();
+
+ int numChildren = childrenTypes.size();
+ Row[] nestedFields = new Row[childCount];
+ for (int i = 0; i < childCount; i++) {
+ nestedFields[i] = new Row(numChildren);
+ }
+ for (int i = 0; i < numChildren; i++) {
+ readField(nestedFields, i, childrenTypes.get(i), struct.fields[i], null, childCount);
+ }
+
+ // check if struct is directly in a list or not, e.g, array<struct<dt>>
+ if (lengthVector == null) {
+ if (fieldIdx == -1) { // set struct as an object
+ System.arraycopy(nestedFields, 0, rows, 0, childCount);
+ }
+ else { // set struct as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, nestedFields[i]);
+ }
+ }
+ }
+ else { // struct in a list
+ int offset = 0;
+ Row[] temp;
+ if (fieldIdx == -1) { // set list of struct as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Row[(int) lengthVector[i]];
+ System.arraycopy(nestedFields, offset, temp, 0, temp.length);
+ offset = offset + temp.length;
+ rows[i] = temp;
+ }
+ }
+ else { // set list of struct as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Row[(int) lengthVector[i]];
+ System.arraycopy(nestedFields, offset, temp, 0, temp.length);
+ offset = offset + temp.length;
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+
+ private static void readNonNullListColumn(Object[] rows, int fieldIdx, ListColumnVector list, TypeDescription schema, long[] lengthVector, int childCount) {
+
+ TypeDescription fieldType = schema.getChildren().get(0);
+ if (lengthVector == null) {
+ long[] lengthVectorNested = list.lengths;
+ readField(rows, fieldIdx, fieldType, list.child, lengthVectorNested, list.childCount);
+ }
+ else { // list in a list
+
+ Object[] nestedList = new Object[childCount];
+
+ // length vector for nested list
+ long[] lengthVectorNested = list.lengths;
+
+ // read nested list
+ readField(nestedList, -1, fieldType, list.child, lengthVectorNested, list.childCount);
+
+ // get type of nestedList
+ Class<?> classType = nestedList[0].getClass();
+
+ // fill outer list with nested list
+ int offset = 0;
+ int length;
+ if (fieldIdx == -1) { // set list of list as an object
+ for (int i = 0; offset < childCount; i++) {
+ length = (int) lengthVector[i];
+ Object temp = Array.newInstance(classType, length);
+ System.arraycopy(nestedList, offset, temp, 0, length);
+ offset = offset + length;
+ rows[i] = temp;
+
+ }
+ } else { // set list of list as an field on Row
+ for (int i = 0; offset < childCount; i++) {
+ length = (int) lengthVector[i];
+ Object temp = Array.newInstance(classType, length);
+ System.arraycopy(nestedList, offset, temp, 0, length);
+ offset = offset + length;
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+
+ }
+
+ private static void readNonNullMapColumn(Object[] rows, int fieldIdx, MapColumnVector map, TypeDescription schema, long[] lengthVector, int childCount) {
+
+ List<TypeDescription> fieldType = schema.getChildren();
+ TypeDescription keyType = fieldType.get(0);
+ TypeDescription valueType = fieldType.get(1);
+
+ ColumnVector keys = map.keys;
+ ColumnVector values = map.values;
+ Object[] keyRows = new Object[map.childCount];
+ Object[] valueRows = new Object[map.childCount];
+
+ // read map kes and values
+ readField(keyRows, -1, keyType, keys, null, keyRows.length);
+ readField(valueRows, -1, valueType, values, null, valueRows.length);
+
+ // check if map is directly in a list or not, e.g, array<map<k,v>>
+ if (lengthVector == null) {
+ long[] lengthVectorMap = map.lengths;
+ int offset = 0;
+ if (fieldIdx == -1) {
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = readHashMap(keyRows, valueRows, offset, lengthVectorMap[i]);
+ offset += lengthVectorMap[i];
+ }
+ } else {
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, readHashMap(keyRows, valueRows, offset, lengthVectorMap[i]));
+ offset += lengthVectorMap[i];
+ }
+ }
+ } else { // list of map
+
+ long[] lengthVectorMap = map.lengths;
+ int mapOffset = 0; // offset of map element
+ int offset = 0; // offset of map
+ HashMap[] temp;
+ if (fieldIdx == -1) { // set map list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new HashMap[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]);
+ mapOffset += lengthVectorMap[offset];
+ offset++;
+ }
+ rows[i] = temp;
+ }
+ } else { // set map list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new HashMap[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]);
+ mapOffset += lengthVectorMap[offset];
+ offset++;
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+
+ private static void fillColumnWithRepeatingValue(Object[] rows, int fieldIdx, Object repeatingValue, int childCount) {
+
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ rows[i] = repeatingValue;
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ ((Row) rows[i]).setField(fieldIdx, repeatingValue);
+ }
+ }
+ }
+
+ private static void fillListWithRepeatingNull(Object[] rows, int fieldIdx, Class<?> classType, long[] lengthVector, int childCount) {
+
+ int length;
+ if (fieldIdx == -1) {
+ for (int i = 0; i < childCount; i++) {
+ length = (int) lengthVector[i];
+ Object temp = Array.newInstance(classType, length);
+ rows[i] = temp;
+ }
+ } else {
+ for (int i = 0; i < childCount; i++) {
+ length = (int) lengthVector[i];
+ Object temp = Array.newInstance(classType, length);
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+
+ private static void readBooleanColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if data type(dt) is directly in list or not, e.g, array<dt>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = vector.vector[i] != 0;
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, vector.vector[i] != 0);
+ }
+ }
+ }
+ } else { // in a list
+ if (vector.isRepeating) { // // fill complete list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, boolean[].class, lengthVector, childCount);
+ } else {
+ // column contain null values
+ int offset = 0;
+ boolean[] temp;
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new boolean[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = vector.vector[offset++] != 0;
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new boolean[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = vector.vector[offset++] != 0;
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readByteColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if data type(dt) is directly in list or not, e.g, array<dt>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = (byte) vector.vector[i];
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, (byte) vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ if (vector.isRepeating) { // // fill complete list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, byte[].class, lengthVector, childCount);
+ } else {
+ // column contain null values
+ int offset = 0;
+ byte[] temp;
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = (byte) vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = (byte) vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readShortColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if data type(dt) is directly in list or not, e.g, array<dt>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = (short) vector.vector[i];
+ }
+ } else { // set as field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, (short) vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ if (vector.isRepeating) { // // fill complete list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, short[].class, lengthVector, childCount);
+ } else {
+ // column contain null values
+ int offset = 0;
+ short[] temp;
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new short[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = (short) vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new short[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = (short) vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readIntColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if data type(dt) is directly in list or not, e.g, array<dt>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = (int) vector.vector[i];
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, (int) vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ if (vector.isRepeating) { // // fill complete list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, int[].class, lengthVector, childCount);
+ } else {
+ // column contain null values
+ int offset = 0;
+ int[] temp;
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new int[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = (int) vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new int[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = (int) vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readLongColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if data type(dt) is directly in list or not, e.g, array<dt>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = vector.vector[i];
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ if (vector.isRepeating) { // // fill complete list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, long[].class, lengthVector, childCount);
+ } else {
+ // column contain null values
+ int offset = 0;
+ long[] temp;
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new long[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new long[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readFloatColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if data type(dt) is directly in list or not, e.g, array<dt>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = (float) vector.vector[i];
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, (float) vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ if (vector.isRepeating) { // // fill complete list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, float[].class, lengthVector, childCount);
+ } else {
+ // column contain null values
+ int offset = 0;
+ float[] temp;
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new float[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = (float) vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ temp = new float[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = (float) vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readDoubleColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if data type(dt) is directly in list or not, e.g, array<dt>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = vector.vector[i];
+ }
+ } else { // set as field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, vector.vector[i]);
+ }
+ }
+ }
+ } else { // in a list
+ if (vector.isRepeating) { // // fill complete list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, double[].class, lengthVector, childCount);
+ } else {
+ // column contain null values
+ int offset = 0;
+ double[] temp;
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new double[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = vector.vector[offset++];
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new double[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ continue;
+ }
+ temp[j] = vector.vector[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readStringColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) {
+
+ // check if string is directly in a list or not, e.g, array<string>
+ if (lengthVector == null) {
+ if (bytes.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVector = bytes.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i]));
+ }
+ }
+ }
+ } else { // in a list
+ if (bytes.isRepeating) { // fill list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, String[].class, lengthVector, childCount);
+ } else {
+ int offset = 0;
+ String[] temp;
+ boolean[] isNullVector = bytes.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new String[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ temp[j] = null;
+ continue; // skip null value
+ }
+ temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ offset++;
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field
+ for (int i = 0; offset < childCount; i++) {
+ temp = new String[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ temp[j] = null;
+ continue; // skip null value
+ }
+ temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ offset++;
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+
+ }
+
+ private static void readDateColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if date is directly in a list or not, e.g, array<date>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = readDate(vector.vector[i]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[i]));
+ }
+ }
+ }
+ } else {
+ if (vector.isRepeating) { // fill complete list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, Date[].class, lengthVector, childCount);
+ } else {
+ int offset = 0;
+ Date[] temp;
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Date[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = readDate(vector.vector[offset++]);
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Date[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = readDate(vector.vector[offset++]);
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+
+ }
+
+ private static void readTimestampColumn(Object[] rows, int fieldIdx, TimestampColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if timestamp is directly in a list or not, e.g, array<timestamp>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ Timestamp ts = new Timestamp(vector.time[i]);
+ ts.setNanos(vector.nanos[i]);
+ rows[i] = ts;
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ Timestamp ts = new Timestamp(vector.time[i]);
+ ts.setNanos(vector.nanos[i]);
+ ((Row) rows[i]).setField(fieldIdx, ts);
+ }
+ }
+ }
+ }
+ else {
+ if (vector.isRepeating) { // fill complete list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, Timestamp[].class, lengthVector, childCount);
+ } else {
+ int offset = 0;
+ Timestamp[] temp;
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Timestamp[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = new Timestamp(vector.time[offset]);
+ temp[j].setNanos(vector.nanos[offset]);
+ offset++;
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Timestamp[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = new Timestamp(vector.time[offset]);
+ temp[j].setNanos(vector.nanos[offset]);
+ offset++;
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readBinaryColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) {
+
+ // check if string is directly in a list or not, e.g, array<string>
+ if (lengthVector == null) {
+ if (bytes.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVectorIndex = bytes.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVectorIndex[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVectorIndex[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]));
+ }
+ }
+ }
+ } else {
+ if (bytes.isRepeating) { // fill complete list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, byte[][].class, lengthVector, childCount);
+ } else {
+ int offset = 0;
+ byte[][] temp;
+ boolean[] isNullVector = bytes.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]][];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ offset++;
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field
+ for (int i = 0; offset < childCount; i++) {
+ temp = new byte[(int) lengthVector[i]][];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]);
+ offset++;
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readDecimalColumn(Object[] rows, int fieldIdx, DecimalColumnVector vector, long[] lengthVector, int childCount) {
+
+ // check if decimal is directly in a list or not, e.g, array<decimal>
+ if (lengthVector == null) {
+ if (vector.isRepeating) { // fill complete column with first value
+ // Also column contains null value and it's repeating
+ fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount);
+ } else {
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = readBigDecimal(vector.vector[i]);
+ }
+ } else { // set as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, readBigDecimal(vector.vector[i]));
+ }
+ }
+ }
+ } else {
+ if (vector.isRepeating) { // fill complete list with first value
+ // Also column contains null value and it's repeating
+ // so all values are null, but we need to set list with null values
+ fillListWithRepeatingNull(rows, fieldIdx, BigDecimal[].class, lengthVector, childCount);
+ } else {
+ int offset = 0;
+ BigDecimal[] temp;
+ boolean[] isNullVector = vector.isNull;
+ if (fieldIdx == -1) { // set list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new BigDecimal[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = readBigDecimal(vector.vector[offset++]);
+ }
+ rows[i] = temp;
+ }
+ } else { // set list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new BigDecimal[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ offset++;
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = readBigDecimal(vector.vector[offset++]);
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+ }
+
+ private static void readStructColumn(Object[] rows, int fieldIdx, StructColumnVector struct, TypeDescription schema, long[] lengthVector, int childCount) {
+
+ List<TypeDescription> childrenTypes = schema.getChildren();
+
+ int numChildren = childrenTypes.size();
+ Row[] nestedFields = new Row[childCount];
+ for (int i = 0; i < childCount; i++) {
+ nestedFields[i] = new Row(numChildren);
+ }
+ for (int i = 0; i < numChildren; i++) {
+ readField(nestedFields, i, childrenTypes.get(i), struct.fields[i], null, childCount);
+ }
+
+ boolean[] isNullVector = struct.isNull;
+
+ // check if struct is directly in a list or not, e.g, array<struct<dt>>
+ if (lengthVector == null) {
+ if (fieldIdx == -1) { // set struct as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = nestedFields[i];
+ }
+ } else { // set struct as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, nestedFields[i]);
+ }
+ }
+ } else { // struct in a list
+ int offset = 0;
+ Row[] temp;
+ if (fieldIdx == -1) { // set list of struct as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Row[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = nestedFields[offset++];
+ }
+ rows[i] = temp;
+ }
+ }
+ else { // set list of struct as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new Row[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = nestedFields[offset++];
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+
+ private static void readListColumn(Object[] rows, int fieldIdx, ListColumnVector list, TypeDescription schema, long[] lengthVector, int childCount) {
+
+ TypeDescription fieldType = schema.getChildren().get(0);
+ if (lengthVector == null) {
+ long[] lengthVectorNested = list.lengths;
+ readField(rows, fieldIdx, fieldType, list.child, lengthVectorNested, list.childCount);
+ }
+ else { // list in a list
+
+ Object[] nestedList = new Object[childCount];
+
+ // length vector for nested list
+ long[] lengthVectorNested = list.lengths;
+
+ // read nested list
+ readField(nestedList, -1, fieldType, list.child, lengthVectorNested, list.childCount);
+
+ // get type of nestedList
+ Class<?> classType = nestedList[0].getClass();
+
+ // fill outer list with nested list
+ int offset = 0;
+ int length;
+ if (fieldIdx == -1) { // set list of list as an object
+ for (int i = 0; offset < childCount; i++) {
+ length = (int) lengthVector[i];
+ Object temp = Array.newInstance(classType, length);
+ System.arraycopy(nestedList, offset, temp, 0, length);
+ offset = offset + length;
+ rows[i] = temp;
+
+ }
+ } else { // set list of list as an field on Row
+ for (int i = 0; offset < childCount; i++) {
+ length = (int) lengthVector[i];
+ Object temp = Array.newInstance(classType, length);
+ System.arraycopy(nestedList, offset, temp, 0, length);
+ offset = offset + length;
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+
+ private static void readMapColumn(Object[] rows, int fieldIdx, MapColumnVector map, TypeDescription schema, long[] lengthVector, int childCount) {
+
+ List<TypeDescription> fieldType = schema.getChildren();
+ TypeDescription keyType = fieldType.get(0);
+ TypeDescription valueType = fieldType.get(1);
+
+ ColumnVector keys = map.keys;
+ ColumnVector values = map.values;
+ Object[] keyRows = new Object[map.childCount];
+ Object[] valueRows = new Object[map.childCount];
+
+ // read map kes and values
+ readField(keyRows, -1, keyType, keys, null, keyRows.length);
+ readField(valueRows, -1, valueType, values, null, valueRows.length);
+
+ boolean[] isNullVector = map.isNull;
+
+ // check if map is directly in a list or not, e.g, array<map<k,v>>
+ if (lengthVector == null) {
+ long[] lengthVectorMap = map.lengths;
+ int offset = 0;
+ if (fieldIdx == -1) { // set map as an object
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ rows[i] = null;
+ continue;
+ }
+ rows[i] = readHashMap(keyRows, valueRows, offset, lengthVectorMap[i]);
+ offset += lengthVectorMap[i];
+ }
+ } else { // set map as a field of Row
+ for (int i = 0; i < childCount; i++) {
+ if (isNullVector[i]) {
+ ((Row) rows[i]).setField(fieldIdx, null);
+ continue;
+ }
+ ((Row) rows[i]).setField(fieldIdx, readHashMap(keyRows, valueRows, offset, lengthVectorMap[i]));
+ offset += lengthVectorMap[i];
+ }
+ }
+ } else { // list of map
+ long[] lengthVectorMap = map.lengths;
+ int mapOffset = 0; // offset of map element
+ int offset = 0; // offset of map
+ HashMap[] temp;
+ if (fieldIdx == -1) { // set map list as an object
+ for (int i = 0; offset < childCount; i++) {
+ temp = new HashMap[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]);
+ mapOffset += lengthVectorMap[offset];
+ offset++;
+ }
+ rows[i] = temp;
+ }
+ } else { // set map list as a field of Row
+ for (int i = 0; offset < childCount; i++) {
+ temp = new HashMap[(int) lengthVector[i]];
+ for (int j = 0; j < temp.length; j++) {
+ if (isNullVector[offset]) {
+ temp[j] = null;
+ continue;
+ }
+ temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]);
+ mapOffset += lengthVectorMap[offset];
+ offset++;
+ }
+ ((Row) rows[i]).setField(fieldIdx, temp);
+ }
+ }
+ }
+ }
+
+ private static BigDecimal readBigDecimal(HiveDecimalWritable hiveDecimalWritable) {
+ HiveDecimal hiveDecimal = hiveDecimalWritable.getHiveDecimal();
+ return hiveDecimal.bigDecimalValue();
+ }
+
+ private static byte[] readBinary(byte[] src, int srcPos, int length) {
+ byte[] result = new byte[length];
+ System.arraycopy(src, srcPos, result, 0, length);
+ return result;
+ }
+
+ private static Timestamp readTimeStamp(long time, int nanos) {
+ Timestamp ts = new Timestamp(time);
+ ts.setNanos(nanos);
+ return ts;
+ }
+
+ private static Date readDate(long days) {
+ // day to milliseconds
+ return new Date(days * 24 * 60 * 60 * 1000);
+ }
+
+ private static HashMap readHashMap(Object[] keyRows, Object[] valueRows, int offset, long length) {
+
+ HashMap<Object, Object> resultMap = new HashMap<>();
+ for (int j = 0; j < length; j++) {
+ resultMap.put(keyRows[offset], valueRows[offset]);
+ offset++;
+ }
+ return resultMap;
+ }
+
+}