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Posted to issues@iceberg.apache.org by GitBox <gi...@apache.org> on 2022/07/20 21:18:55 UTC
[GitHub] [iceberg] kbendick commented on a diff in pull request #5305: Spark - Implement FunctionCatalog and Truncate
kbendick commented on code in PR #5305:
URL: https://github.com/apache/iceberg/pull/5305#discussion_r926062846
##########
spark/v3.3/spark/src/main/java/org/apache/iceberg/spark/functions/TruncateFunction.java:
##########
@@ -0,0 +1,319 @@
+/*
+ * 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.iceberg.spark.functions;
+
+import java.math.BigDecimal;
+import java.math.BigInteger;
+import java.nio.ByteBuffer;
+import java.nio.CharBuffer;
+import java.nio.charset.StandardCharsets;
+import org.apache.iceberg.spark.SparkSchemaUtil;
+import org.apache.iceberg.types.Type;
+import org.apache.iceberg.util.ByteBuffers;
+import org.apache.iceberg.util.UnicodeUtil;
+import org.apache.spark.sql.catalyst.InternalRow;
+import org.apache.spark.sql.connector.catalog.functions.BoundFunction;
+import org.apache.spark.sql.connector.catalog.functions.ScalarFunction;
+import org.apache.spark.sql.connector.catalog.functions.UnboundFunction;
+import org.apache.spark.sql.types.DataType;
+import org.apache.spark.sql.types.DataTypes;
+import org.apache.spark.sql.types.Decimal;
+import org.apache.spark.sql.types.DecimalType;
+import org.apache.spark.sql.types.IntegerType;
+import org.apache.spark.sql.types.LongType;
+import org.apache.spark.sql.types.StructField;
+import org.apache.spark.sql.types.StructType;
+import org.apache.spark.unsafe.types.UTF8String;
+
+/**
+ * Implementation of {@link UnboundFunction} that matches the {@code truncate} transformation.
+ * The various implementations are registered with the {@link org.apache.iceberg.spark.SparkCatalog}
+ * such that the function can be used as {@code truncate(col, width)} or {@code truncate(col, 2)}.
+ */
+public class TruncateFunction implements UnboundFunction {
+
+ public TruncateFunction() {
+
+ }
+
+ private static void validateSourceTypeUsingSparkTypes(DataType dt) {
+ if (!DataTypes.IntegerType.acceptsType(dt) && !DataTypes.LongType.acceptsType(dt) &&
+ !DataTypes.StringType.acceptsType(dt) && !DataTypes.BinaryType.acceptsType(dt) &&
+ !(dt instanceof DecimalType)) {
+ throw new UnsupportedOperationException(
+ "Cannot truncate input type. Expected one of [IntegerType, LongType, DecimalType, StringType, BinaryType], " +
+ "but found " + dt.catalogString());
+ }
+ }
+
+ private static void validateTruncationWidthType(DataType widthType) {
+ if (!(widthType instanceof IntegerType ||
+ !(widthType instanceof LongType && DataTypes.IntegerType.acceptsType(widthType)))) {
+ throw new UnsupportedOperationException("Expected truncation width to be an integer type");
+ }
+ }
+
+ @Override
+ public BoundFunction bind(StructType inputType) {
+ if (inputType.fields().length != 2) {
+ throw new UnsupportedOperationException(
+ String.format("Invalid input type. Expected 2 fields but found %s", inputType.fields().length));
+ }
+
+ StructField fieldToTruncate = inputType.apply(0);
+ StructField truncationWidth = inputType.apply(1);
+
+ DataType toTruncateSparkType = fieldToTruncate.dataType();
+ Type sourceIcebergType = SparkSchemaUtil.convert(fieldToTruncate.dataType());
+
+ validateSourceTypeUsingSparkTypes(fieldToTruncate.dataType());
+ validateTruncationWidthType(truncationWidth.dataType());
+
+ switch (sourceIcebergType.typeId()) {
+ case INTEGER:
+ return new TruncateInteger();
Review Comment:
When reading the documentation for `ScalarFunction`, it seemed like Spark wouls perform the required cast before invoking the magic function.
##########
spark/v3.3/spark/src/main/java/org/apache/iceberg/spark/functions/TruncateFunction.java:
##########
@@ -0,0 +1,319 @@
+/*
+ * 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.iceberg.spark.functions;
+
+import java.math.BigDecimal;
+import java.math.BigInteger;
+import java.nio.ByteBuffer;
+import java.nio.CharBuffer;
+import java.nio.charset.StandardCharsets;
+import org.apache.iceberg.spark.SparkSchemaUtil;
+import org.apache.iceberg.types.Type;
+import org.apache.iceberg.util.ByteBuffers;
+import org.apache.iceberg.util.UnicodeUtil;
+import org.apache.spark.sql.catalyst.InternalRow;
+import org.apache.spark.sql.connector.catalog.functions.BoundFunction;
+import org.apache.spark.sql.connector.catalog.functions.ScalarFunction;
+import org.apache.spark.sql.connector.catalog.functions.UnboundFunction;
+import org.apache.spark.sql.types.DataType;
+import org.apache.spark.sql.types.DataTypes;
+import org.apache.spark.sql.types.Decimal;
+import org.apache.spark.sql.types.DecimalType;
+import org.apache.spark.sql.types.IntegerType;
+import org.apache.spark.sql.types.LongType;
+import org.apache.spark.sql.types.StructField;
+import org.apache.spark.sql.types.StructType;
+import org.apache.spark.unsafe.types.UTF8String;
+
+/**
+ * Implementation of {@link UnboundFunction} that matches the {@code truncate} transformation.
+ * The various implementations are registered with the {@link org.apache.iceberg.spark.SparkCatalog}
+ * such that the function can be used as {@code truncate(col, width)} or {@code truncate(col, 2)}.
+ */
+public class TruncateFunction implements UnboundFunction {
+
+ public TruncateFunction() {
+
+ }
+
+ private static void validateSourceTypeUsingSparkTypes(DataType dt) {
+ if (!DataTypes.IntegerType.acceptsType(dt) && !DataTypes.LongType.acceptsType(dt) &&
+ !DataTypes.StringType.acceptsType(dt) && !DataTypes.BinaryType.acceptsType(dt) &&
+ !(dt instanceof DecimalType)) {
+ throw new UnsupportedOperationException(
+ "Cannot truncate input type. Expected one of [IntegerType, LongType, DecimalType, StringType, BinaryType], " +
+ "but found " + dt.catalogString());
+ }
+ }
+
+ private static void validateTruncationWidthType(DataType widthType) {
+ if (!(widthType instanceof IntegerType ||
+ !(widthType instanceof LongType && DataTypes.IntegerType.acceptsType(widthType)))) {
+ throw new UnsupportedOperationException("Expected truncation width to be an integer type");
+ }
+ }
+
+ @Override
+ public BoundFunction bind(StructType inputType) {
+ if (inputType.fields().length != 2) {
+ throw new UnsupportedOperationException(
+ String.format("Invalid input type. Expected 2 fields but found %s", inputType.fields().length));
+ }
+
+ StructField fieldToTruncate = inputType.apply(0);
+ StructField truncationWidth = inputType.apply(1);
+
+ DataType toTruncateSparkType = fieldToTruncate.dataType();
+ Type sourceIcebergType = SparkSchemaUtil.convert(fieldToTruncate.dataType());
+
+ validateSourceTypeUsingSparkTypes(fieldToTruncate.dataType());
+ validateTruncationWidthType(truncationWidth.dataType());
+
+ switch (sourceIcebergType.typeId()) {
+ case INTEGER:
+ return new TruncateInteger();
Review Comment:
https://spark.apache.org/docs/latest/api/java/index.html?org/apache/spark/sql/connector/catalog/functions/ScalarFunction.html
I might have that wrong though.
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