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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2018/12/10 03:07:35 UTC
[GitHub] HuangZhenQiu commented on a change in pull request #6483:
[FLINK-7243][flink-formats] Add parquet input format
HuangZhenQiu commented on a change in pull request #6483: [FLINK-7243][flink-formats] Add parquet input format
URL: https://github.com/apache/flink/pull/6483#discussion_r240074303
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File path: flink-formats/flink-parquet/src/main/java/org/apache/flink/formats/parquet/utils/ParquetSchemaConverter.java
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@@ -0,0 +1,359 @@
+/*
+ * 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.formats.parquet.utils;
+
+import org.apache.flink.api.common.typeinfo.BasicArrayTypeInfo;
+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.typeutils.MapTypeInfo;
+import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+
+import org.apache.parquet.avro.AvroSchemaConverter;
+import org.apache.parquet.schema.GroupType;
+import org.apache.parquet.schema.MessageType;
+import org.apache.parquet.schema.OriginalType;
+import org.apache.parquet.schema.PrimitiveType;
+import org.apache.parquet.schema.Type;
+import org.apache.parquet.schema.Types;
+
+import java.lang.reflect.Array;
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Schema converter converts Parquet schema to and from Flink internal types.
+ */
+public class ParquetSchemaConverter {
+ public static final String MAP_KEY = "key";
+ public static final String MAP_VALUE = "value";
+ public static final String LIST_ARRAY_TYPE = "array";
+ public static final String LIST_ELEMENT = "element";
+ public static final String LIST_GROUP_NAME = "list";
+ public static final String MESSAGE_ROOT = "root";
+ private static final AvroSchemaConverter SCHEMA_CONVERTER = new AvroSchemaConverter();
+
+ public static TypeInformation<?> fromParquetType(MessageType type) {
+ return convertFields(type.getFields());
+ }
+
+ /**
+ * Converts Flink Internal Type to Parquet schema.
+ *
+ * @param typeInformation flink type information
+ * @param isStandard is standard LIST and MAP schema or back-compatible schema
+ * @return Parquet schema
+ */
+ public static MessageType toParquetType(TypeInformation<?> typeInformation, boolean isStandard) {
+ return (MessageType) convertField(null, typeInformation, Type.Repetition.OPTIONAL, isStandard);
+ }
+
+ private static TypeInformation<?> convertFields(List<Type> parquetFields) {
+ List<TypeInformation<?>> types = new ArrayList<>();
+ List<String> names = new ArrayList<>();
+ for (Type field : parquetFields) {
+ TypeInformation<?> subType = convertField(field);
+ if (subType != null) {
+ types.add(subType);
+ names.add(field.getName());
+ }
+ }
+
+ return new RowTypeInfo(types.toArray(new TypeInformation<?>[types.size()]),
+ names.toArray(new String[names.size()]));
+ }
+
+ private static TypeInformation<?> convertField(final Type fieldType) {
+ TypeInformation<?> typeInfo = null;
+ if (fieldType.isPrimitive()) {
+ OriginalType originalType = fieldType.getOriginalType();
+ PrimitiveType primitiveType = fieldType.asPrimitiveType();
+ switch (primitiveType.getPrimitiveTypeName()) {
+ case BINARY:
+ if (originalType != null) {
+ switch (originalType) {
+ case DECIMAL:
+ typeInfo = BasicTypeInfo.BIG_DEC_TYPE_INFO;
+ break;
+ case UTF8:
+ case ENUM:
+ case JSON:
+ case BSON:
+ typeInfo = BasicTypeInfo.STRING_TYPE_INFO;
+ break;
+ default:
+ throw new UnsupportedOperationException("Unsupported original type : " + originalType.name()
+ + " for primitive type BINARY");
+ }
+ } else {
+ typeInfo = BasicTypeInfo.STRING_TYPE_INFO;
+ }
+ break;
+ case BOOLEAN:
+ typeInfo = BasicTypeInfo.BOOLEAN_TYPE_INFO;
+ break;
+ case INT32:
+ if (originalType != null) {
+ switch (originalType) {
+ case TIME_MICROS:
+ case TIME_MILLIS:
+ typeInfo = SqlTimeTypeInfo.TIME;
+ break;
+ case TIMESTAMP_MICROS:
+ case TIMESTAMP_MILLIS:
+ typeInfo = SqlTimeTypeInfo.TIMESTAMP;
+ break;
+ case DATE:
+ typeInfo = SqlTimeTypeInfo.DATE;
+ break;
+ case UINT_8:
+ case UINT_16:
+ case UINT_32:
+ case INT_8:
+ case INT_16:
+ case INT_32:
+ typeInfo = BasicTypeInfo.INT_TYPE_INFO;
+ break;
+ default:
+ throw new UnsupportedOperationException("Unsupported original type : " + originalType.name()
+ + " for primitive type INT32");
+ }
+ } else {
+ typeInfo = BasicTypeInfo.INT_TYPE_INFO;
+ }
+ break;
+ case INT64:
+ if (originalType != null) {
+ switch (originalType) {
+ case TIME_MICROS:
+ typeInfo = SqlTimeTypeInfo.TIME;
+ break;
+ case TIMESTAMP_MICROS:
+ case TIMESTAMP_MILLIS:
+ typeInfo = SqlTimeTypeInfo.TIMESTAMP;
+ break;
+ case INT_64:
+ case DECIMAL:
+ typeInfo = BasicTypeInfo.LONG_TYPE_INFO;
+ break;
+ default:
+ throw new UnsupportedOperationException("Unsupported original type : " + originalType.name()
+ + " for primitive type INT64");
+ }
+ } else {
+ typeInfo = BasicTypeInfo.LONG_TYPE_INFO;
+ }
+ break;
+ case INT96:
+ // It stores a timestamp type data, we read it as millisecond
+ typeInfo = SqlTimeTypeInfo.TIMESTAMP;
+ break;
+ case FLOAT:
+ typeInfo = BasicTypeInfo.FLOAT_TYPE_INFO;
+ break;
+ case DOUBLE:
+ typeInfo = BasicTypeInfo.DOUBLE_TYPE_INFO;
+ break;
+ case FIXED_LEN_BYTE_ARRAY:
+ if (originalType != null) {
+ switch (originalType) {
+ case DECIMAL:
+ typeInfo = BasicTypeInfo.BIG_DEC_TYPE_INFO;
+ break;
+ default:
+ throw new UnsupportedOperationException("Unsupported original type : " + originalType.name()
+ + " for primitive type FIXED_LEN_BYTE_ARRAY");
+ }
+ } else {
+ typeInfo = BasicTypeInfo.BIG_DEC_TYPE_INFO;
+ }
+ break;
+ default:
+ throw new UnsupportedOperationException("Unsupported schema: " + fieldType);
+ }
+ } else {
+ GroupType parquetGroupType = fieldType.asGroupType();
+ OriginalType originalType = parquetGroupType.getOriginalType();
+ if (originalType != null) {
+ switch (originalType) {
+ case LIST:
+ if (parquetGroupType.getFieldCount() != 1) {
+ throw new UnsupportedOperationException("Invalid list type " + parquetGroupType);
+ }
+ Type repeatedType = parquetGroupType.getType(0);
+ if (!repeatedType.isRepetition(Type.Repetition.REPEATED)) {
+ throw new UnsupportedOperationException("Invalid list type " + parquetGroupType);
+ }
+
+ if (repeatedType.isPrimitive()) {
+ // Backward-compatibility element group doesn't exist also allowed
+ typeInfo = BasicArrayTypeInfo.getInfoFor(
+ Array.newInstance(convertField(repeatedType).getTypeClass(), 0).getClass());
+ } else {
+ // Backward-compatibility element group name can be any string (element/array/other)
+ GroupType elementType = repeatedType.asGroupType();
+ if (elementType.getFieldCount() > 1) {
+ typeInfo = ObjectArrayTypeInfo.getInfoFor(convertField(elementType));
+ } else {
+ Type internalType = elementType.getType(0);
+ if (internalType.isPrimitive()) {
+ typeInfo = BasicArrayTypeInfo.getInfoFor(
+ Array.newInstance(convertField(internalType).getTypeClass(),
+ 0).getClass());
+ } else {
+ typeInfo = ObjectArrayTypeInfo.getInfoFor(convertField(internalType));
+ }
+ }
+ }
+ break;
+
+ case MAP_KEY_VALUE:
+ case MAP:
+ if (parquetGroupType.getFieldCount() != 1 || parquetGroupType.getType(0).isPrimitive()) {
+ throw new UnsupportedOperationException("Invalid map type " + parquetGroupType);
+ }
+
+ GroupType mapKeyValType = parquetGroupType.getType(0).asGroupType();
+ if (!mapKeyValType.isRepetition(Type.Repetition.REPEATED)
+ || mapKeyValType.getFieldCount() != 2) {
+ throw new UnsupportedOperationException("Invalid map type " + parquetGroupType);
+ }
+ Type keyType = mapKeyValType.getType(0);
+ if (!keyType.isPrimitive()
+ || !keyType.asPrimitiveType().getPrimitiveTypeName().equals(
+ PrimitiveType.PrimitiveTypeName.BINARY)
+ || !keyType.getOriginalType().equals(OriginalType.UTF8)) {
+ throw new IllegalArgumentException("Map key type must be binary (UTF8): "
+ + keyType);
+ }
+
+ Type valueType = mapKeyValType.getType(1);
+ return new MapTypeInfo<>(BasicTypeInfo.STRING_TYPE_INFO, convertField(valueType));
+ default:
+ throw new UnsupportedOperationException("Unsupported schema: " + fieldType);
+ }
+ } else {
+ // if no original type than it is a record
+ return convertFields(parquetGroupType.getFields());
+ }
+ }
+
+ return typeInfo;
+ }
+
+ private static Type convertField(String fieldName, TypeInformation<?> typeInfo,
Review comment:
As suggested by Timo, this function considers both physical type and logical type. As you can see, it firstly convert type by physical type, if there are multiple logical types using the same physical data size to store (for example TIME_MICROS, TIMESTAMP_MICROS are used as INT64).
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