dinoocch commented on code in PR #16678: URL: https://github.com/apache/pinot/pull/16678#discussion_r2408265072
########## pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/AnyValueAggregationFunction.java: ########## @@ -0,0 +1,394 @@ +/** + * 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.pinot.core.query.aggregation.function; + +import java.math.BigDecimal; +import java.nio.ByteBuffer; +import java.nio.charset.StandardCharsets; +import java.util.List; +import java.util.Map; +import org.apache.pinot.common.CustomObject; +import org.apache.pinot.common.request.context.ExpressionContext; +import org.apache.pinot.common.utils.DataSchema.ColumnDataType; +import org.apache.pinot.core.common.BlockValSet; +import org.apache.pinot.core.query.aggregation.AggregationResultHolder; +import org.apache.pinot.core.query.aggregation.ObjectAggregationResultHolder; +import org.apache.pinot.core.query.aggregation.groupby.GroupByResultHolder; +import org.apache.pinot.core.query.aggregation.groupby.ObjectGroupByResultHolder; +import org.apache.pinot.segment.spi.AggregationFunctionType; +import org.apache.pinot.segment.spi.index.reader.Dictionary; +import org.apache.pinot.spi.data.FieldSpec; + + +/** + * AnyValue aggregation function returns any arbitrary NON-NULL value from the column for each group. + * <p> + * This is useful for GROUP BY queries where you want to include a column in SELECT that has a 1:1 mapping with the + * GROUP BY columns, avoiding the need to add it to GROUP BY clause. The implementation is null-aware and will scan + * only until it finds the first non-null value in the current batch for each group/key. This makes it O(n) over the + * input once per group until the first value is set, with early-exit fast paths when there are no nulls. + * </p> + * <p><strong>Example:</strong></p> + * <pre>{@code + * SELECT CustomerID, + * ANY_VALUE(CustomerName), + * SUM(OrderValue) + * FROM Orders + * GROUP BY CustomerID + * }</pre> + */ +public class AnyValueAggregationFunction extends NullableSingleInputAggregationFunction<Object, Comparable<?>> { + // Result type is determined at runtime based on input expression type + private ColumnDataType _resultType; + + public AnyValueAggregationFunction(List<ExpressionContext> arguments, boolean nullHandlingEnabled) { + super(verifySingleArgument(arguments, "ANY_VALUE"), nullHandlingEnabled); + _resultType = null; + } + + @Override + public AggregationFunctionType getType() { + return AggregationFunctionType.ANYVALUE; + } + + @Override + public AggregationResultHolder createAggregationResultHolder() { + return new ObjectAggregationResultHolder(); + } + + @Override + public GroupByResultHolder createGroupByResultHolder(int initialCapacity, int maxCapacity) { + return new ObjectGroupByResultHolder(initialCapacity, maxCapacity); + } + + @Override + public ColumnDataType getIntermediateResultColumnType() { + return _resultType != null ? _resultType : ColumnDataType.STRING; Review Comment: If `_resultType` is null should we use `ColumnDataType.UNKNOWN`? ########## pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/AnyValueAggregationFunction.java: ########## @@ -0,0 +1,394 @@ +/** + * 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.pinot.core.query.aggregation.function; + +import java.math.BigDecimal; +import java.nio.ByteBuffer; +import java.nio.charset.StandardCharsets; +import java.util.List; +import java.util.Map; +import org.apache.pinot.common.CustomObject; +import org.apache.pinot.common.request.context.ExpressionContext; +import org.apache.pinot.common.utils.DataSchema.ColumnDataType; +import org.apache.pinot.core.common.BlockValSet; +import org.apache.pinot.core.query.aggregation.AggregationResultHolder; +import org.apache.pinot.core.query.aggregation.ObjectAggregationResultHolder; +import org.apache.pinot.core.query.aggregation.groupby.GroupByResultHolder; +import org.apache.pinot.core.query.aggregation.groupby.ObjectGroupByResultHolder; +import org.apache.pinot.segment.spi.AggregationFunctionType; +import org.apache.pinot.segment.spi.index.reader.Dictionary; +import org.apache.pinot.spi.data.FieldSpec; + + +/** + * AnyValue aggregation function returns any arbitrary NON-NULL value from the column for each group. + * <p> + * This is useful for GROUP BY queries where you want to include a column in SELECT that has a 1:1 mapping with the + * GROUP BY columns, avoiding the need to add it to GROUP BY clause. The implementation is null-aware and will scan + * only until it finds the first non-null value in the current batch for each group/key. This makes it O(n) over the + * input once per group until the first value is set, with early-exit fast paths when there are no nulls. + * </p> + * <p><strong>Example:</strong></p> + * <pre>{@code + * SELECT CustomerID, + * ANY_VALUE(CustomerName), + * SUM(OrderValue) + * FROM Orders + * GROUP BY CustomerID + * }</pre> + */ +public class AnyValueAggregationFunction extends NullableSingleInputAggregationFunction<Object, Comparable<?>> { + // Result type is determined at runtime based on input expression type + private ColumnDataType _resultType; + + public AnyValueAggregationFunction(List<ExpressionContext> arguments, boolean nullHandlingEnabled) { + super(verifySingleArgument(arguments, "ANY_VALUE"), nullHandlingEnabled); + _resultType = null; + } + + @Override + public AggregationFunctionType getType() { + return AggregationFunctionType.ANYVALUE; + } + + @Override + public AggregationResultHolder createAggregationResultHolder() { + return new ObjectAggregationResultHolder(); + } + + @Override + public GroupByResultHolder createGroupByResultHolder(int initialCapacity, int maxCapacity) { + return new ObjectGroupByResultHolder(initialCapacity, maxCapacity); + } + + @Override + public ColumnDataType getIntermediateResultColumnType() { + return _resultType != null ? _resultType : ColumnDataType.STRING; + } + + @Override + public ColumnDataType getFinalResultColumnType() { + return _resultType != null ? _resultType : ColumnDataType.STRING; + } + + @Override + public Object extractAggregationResult(AggregationResultHolder aggregationResultHolder) { + return aggregationResultHolder.getResult(); + } + + @Override + public Object extractGroupByResult(GroupByResultHolder groupByResultHolder, int groupKey) { + return groupByResultHolder.getResult(groupKey); + } + + @Override + public Comparable<?> extractFinalResult(Object intermediateResult) { + return (Comparable<?>) intermediateResult; + } + + @Override + public Object merge(Object left, Object right) { + // For ANY_VALUE, we just need any non-null value, so merge by returning the first non-null value + return left != null ? left : right; + } + + @Override + public void aggregate(int length, AggregationResultHolder holder, + Map<ExpressionContext, BlockValSet> blockValSetMap) { + if (holder.getResult() != null) { + return; + } + BlockValSet bvs = blockValSetMap.get(_expression); + ensureResultType(bvs); + aggregateHelper(length, bvs, (i, value) -> { + holder.setValue(value); + return true; // Stop after first value found + }); + } + + @Override + public void aggregateGroupBySV(int length, int[] groupKeys, GroupByResultHolder holder, + Map<ExpressionContext, BlockValSet> map) { + BlockValSet bvs = map.get(_expression); + ensureResultType(bvs); + aggregateHelper(length, bvs, (i, value) -> { + int g = groupKeys[i]; + if (holder.getResult(g) == null) { + holder.setValueForKey(g, value); + } + return false; // Continue processing for other groups + }); + } + + @Override + public void aggregateGroupByMV(int length, int[][] groupKeysArray, GroupByResultHolder holder, + Map<ExpressionContext, BlockValSet> map) { + BlockValSet bvs = map.get(_expression); + ensureResultType(bvs); + aggregateHelper(length, bvs, (i, value) -> { + int[] keys = groupKeysArray[i]; + for (int g : keys) { + if (holder.getResult(g) == null) { + holder.setValueForKey(g, value); + } + } + return false; // Continue processing for other groups + }); + } + + @Override + public SerializedIntermediateResult serializeIntermediateResult(Object value) { + if (value == null) { + return new SerializedIntermediateResult(0, new byte[0]); + } + byte[] bytes = serializeValue(value); + return new SerializedIntermediateResult(1, bytes); + } + + @Override + public Object deserializeIntermediateResult(CustomObject customObject) { + if (customObject.getBuffer().remaining() == 0) { + return null; + } + return deserializeValue(customObject.getBuffer()); + } + + @FunctionalInterface + private interface ValueProcessor<T> { + boolean process(int index, T value); // Returns true to continue processing, false to stop + } + + /** + * Generic helper for processing values with dictionary optimization for all supported data types + */ + private void aggregateHelper(int length, BlockValSet bvs, ValueProcessor<Object> processor) { + // Use dictionary-based access for efficiency when available + if (bvs.getDictionary() != null) { + final int[] dictIds = bvs.getDictionaryIdsSV(); + final Dictionary dict = bvs.getDictionary(); + + if (bvs.getNullBitmap() == null) { + for (int i = 0; i < length; i++) { + Object value = getDictionaryValue(dict, dictIds[i], bvs.getValueType().getStoredType()); + if (processor.process(i, value)) { + break; + } + } + } else { Review Comment: Can this be simplified in favor of just using `forEachNotNull`? -- This is an automated message from the Apache Git Service. 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