dawidwys commented on code in PR #26113: URL: https://github.com/apache/flink/pull/26113#discussion_r1946250300
########## flink-table/flink-table-runtime/src/main/java/org/apache/flink/table/runtime/functions/table/UnnestRowsFunctionBase.java: ########## @@ -0,0 +1,198 @@ +/* + * 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.table.runtime.functions.table; + +import org.apache.flink.annotation.Internal; +import org.apache.flink.table.api.DataTypes; +import org.apache.flink.table.data.ArrayData; +import org.apache.flink.table.data.MapData; +import org.apache.flink.table.functions.BuiltInFunctionDefinitions; +import org.apache.flink.table.functions.UserDefinedFunction; +import org.apache.flink.table.runtime.functions.BuiltInSpecializedFunction; +import org.apache.flink.table.types.DataType; +import org.apache.flink.table.types.logical.ArrayType; +import org.apache.flink.table.types.logical.LogicalType; +import org.apache.flink.table.types.logical.MapType; +import org.apache.flink.table.types.logical.MultisetType; +import org.apache.flink.table.types.logical.RowType; + +/** Base class for flattening ARRAY, MAP, and MULTISET using a table function. */ +@Internal +public abstract class UnnestRowsFunctionBase extends BuiltInSpecializedFunction { + + public UnnestRowsFunctionBase() { + super(BuiltInFunctionDefinitions.INTERNAL_UNNEST_ROWS); + } + + @Override + public UserDefinedFunction specialize(SpecializedContext context) { + final LogicalType argType = + context.getCallContext().getArgumentDataTypes().get(0).getLogicalType(); + switch (argType.getTypeRoot()) { + case ARRAY: + final ArrayType arrayType = (ArrayType) argType; + return createCollectionUnnestFunction( + context, + arrayType.getElementType(), + ArrayData.createElementGetter(arrayType.getElementType())); + case MULTISET: + final MultisetType multisetType = (MultisetType) argType; + return createCollectionUnnestFunction( + context, + multisetType.getElementType(), + ArrayData.createElementGetter(multisetType.getElementType())); + case MAP: + final MapType mapType = (MapType) argType; + return createMapUnnestFunction( + context, + RowType.of(false, mapType.getKeyType(), mapType.getValueType()), + ArrayData.createElementGetter(mapType.getKeyType()), + ArrayData.createElementGetter(mapType.getValueType())); + default: + throw new UnsupportedOperationException("Unsupported type for UNNEST: " + argType); + } + } + + protected abstract UserDefinedFunction createCollectionUnnestFunction( + SpecializedContext context, + LogicalType elementType, + ArrayData.ElementGetter elementGetter); + + protected abstract UserDefinedFunction createMapUnnestFunction( + SpecializedContext context, + RowType keyValTypes, + ArrayData.ElementGetter keyGetter, + ArrayData.ElementGetter valueGetter); + + public static LogicalType getUnnestedType(LogicalType logicalType, boolean withOrdinality) { + LogicalType baseType; + switch (logicalType.getTypeRoot()) { + case ARRAY: + baseType = ((ArrayType) logicalType).getElementType(); + break; + case MULTISET: + baseType = ((MultisetType) logicalType).getElementType(); + break; + case MAP: + MapType mapType = (MapType) logicalType; + if (withOrdinality) { + return RowType.of( + false, + new LogicalType[] { + mapType.getKeyType(), + mapType.getValueType(), + DataTypes.INT().notNull().getLogicalType() + }, + new String[] {"f0", "f1", "ordinality"}); + } + return RowType.of(false, mapType.getKeyType(), mapType.getValueType()); + default: + throw new UnsupportedOperationException("Unsupported UNNEST type: " + logicalType); + } + + if (withOrdinality) { + return RowType.of( + false, + new LogicalType[] {baseType, DataTypes.INT().notNull().getLogicalType()}, + new String[] {"f0", "ordinality"}); + } + return baseType; + } + + // -------------------------------------------------------------------------------------------- + // Runtime Implementation Base Classes + // -------------------------------------------------------------------------------------------- + + /** Base class for table functions that unwrap collections and maps. */ + protected abstract static class UnnestTableFunctionBase extends BuiltInTableFunction<Object> { + private final transient DataType outputDataType; + + UnnestTableFunctionBase(SpecializedContext context, LogicalType elementType) { + super(BuiltInFunctionDefinitions.INTERNAL_UNNEST_ROWS, context); + outputDataType = DataTypes.of(elementType).toInternal(); + } + + // The output type in the context is already wrapped, however, the result of the function + // is not. Therefore, we this function has to be implemented with the custom output type. + @Override + public DataType getOutputDataType() { + return outputDataType; + } + + protected void evalArrayData( + ArrayData arrayData, + ArrayData.ElementGetter elementGetter, + UnnestCollector collector) { + if (arrayData == null) { + return; + } + final int size = arrayData.size(); + for (int pos = 0; pos < size; pos++) { + collector.collect(elementGetter.getElementOrNull(arrayData, pos), pos + 1); + } + } + + protected void evalMapData( + MapData mapData, + ArrayData.ElementGetter keyGetter, + ArrayData.ElementGetter valueGetter, + MapUnnestCollector collector) { + if (mapData == null) { + return; + } + final int size = mapData.size(); + final ArrayData keyArray = mapData.keyArray(); + final ArrayData valueArray = mapData.valueArray(); + for (int i = 0; i < size; i++) { + collector.collect( + keyGetter.getElementOrNull(keyArray, i), + valueGetter.getElementOrNull(valueArray, i), + i + 1); + } + } + + protected void evalMultisetData( + MapData mapData, ArrayData.ElementGetter elementGetter, UnnestCollector collector) { + if (mapData == null) { + return; + } + final int size = mapData.size(); + final ArrayData keys = mapData.keyArray(); + final ArrayData values = mapData.valueArray(); + int ordinal = 1; + for (int pos = 0; pos < size; pos++) { + final int multiplier = values.getInt(pos); + final Object key = elementGetter.getElementOrNull(keys, pos); + for (int i = 0; i < multiplier; i++) { + collector.collect(key, ordinal++); Review Comment: ah, true, sorry didn't read it carefully enough 👍 -- This is an automated message from the Apache Git Service. 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