KKcorps commented on a change in pull request #6053: URL: https://github.com/apache/incubator-pinot/pull/6053#discussion_r496868587
########## File path: pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/SumWithPrecisionAggregationFunction.java ########## @@ -0,0 +1,174 @@ +/** + * 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.math.MathContext; +import java.util.Map; +import org.apache.pinot.common.function.AggregationFunctionType; +import org.apache.pinot.common.function.scalar.DataTypeConversionFunctions; +import org.apache.pinot.common.utils.DataSchema; +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.core.query.request.context.ExpressionContext; + + +public class SumWithPrecisionAggregationFunction extends BaseSingleInputAggregationFunction<BigDecimal, BigDecimal> { + MathContext _mathContext = new MathContext(0); + Integer _scale = null; + + public SumWithPrecisionAggregationFunction(ExpressionContext expression, Integer precision) { + super(expression); + _mathContext = new MathContext(precision); + } + + public SumWithPrecisionAggregationFunction(ExpressionContext expression, Integer precision, Integer scale) { + super(expression); + _mathContext = new MathContext(precision); + _scale = scale; + } + + public SumWithPrecisionAggregationFunction(ExpressionContext expression) { + super(expression); + } + + @Override + public AggregationFunctionType getType() { + return AggregationFunctionType.SUMPRECISION; + } + + @Override + public AggregationResultHolder createAggregationResultHolder() { + return new ObjectAggregationResultHolder(); + } + + @Override + public GroupByResultHolder createGroupByResultHolder(int initialCapacity, int maxCapacity) { + return new ObjectGroupByResultHolder(initialCapacity, maxCapacity); + } + + @Override + public void aggregate(int length, AggregationResultHolder aggregationResultHolder, + Map<ExpressionContext, BlockValSet> blockValSetMap) { + byte[][] valueArray = blockValSetMap.get(_expression).getBytesValuesSV(); + BigDecimal sumValue = getDefaultResult(aggregationResultHolder); + for (int i = 0; i < length; i++) { + BigDecimal value = new BigDecimal(DataTypeConversionFunctions.bytesToBigDecimal(valueArray[i])); + sumValue = sumValue.add(value, _mathContext); + } + aggregationResultHolder.setValue(setScale(sumValue)); + } + + @Override + public void aggregateGroupBySV(int length, int[] groupKeyArray, GroupByResultHolder groupByResultHolder, + Map<ExpressionContext, BlockValSet> blockValSetMap) { + byte[][] valueArray = blockValSetMap.get(_expression).getBytesValuesSV(); + for (int i = 0; i < length; i++) { + int groupKey = groupKeyArray[i]; + BigDecimal groupByResultValue = getDefaultResult(groupByResultHolder, groupKey); + BigDecimal value = new BigDecimal(DataTypeConversionFunctions.bytesToBigDecimal(valueArray[i])); + groupByResultValue = groupByResultValue.add(value, _mathContext); + groupByResultHolder.setValueForKey(groupKey, setScale(groupByResultValue)); + } + } + + @Override + public void aggregateGroupByMV(int length, int[][] groupKeysArray, GroupByResultHolder groupByResultHolder, + Map<ExpressionContext, BlockValSet> blockValSetMap) { + byte[][] valueArray = blockValSetMap.get(_expression).getBytesValuesSV(); + for (int i = 0; i < length; i++) { + byte[] value = valueArray[i]; + for (int groupKey : groupKeysArray[i]) { + BigDecimal groupByResultValue = getDefaultResult(groupByResultHolder, groupKey); + BigDecimal valueBigDecimal = new BigDecimal(DataTypeConversionFunctions.bytesToBigDecimal(value)); + groupByResultValue = groupByResultValue.add(valueBigDecimal, _mathContext); + groupByResultHolder.setValueForKey(groupKey, setScale(groupByResultValue)); + } + } + } + + @Override + public BigDecimal extractAggregationResult(AggregationResultHolder aggregationResultHolder) { + return getDefaultResult(aggregationResultHolder); + } + + @Override + public BigDecimal extractGroupByResult(GroupByResultHolder groupByResultHolder, int groupKey) { + return getDefaultResult(groupByResultHolder, groupKey); + } + + @Override + public BigDecimal merge(BigDecimal intermediateResult1, BigDecimal intermediateResult2) { + try { + return setScale(intermediateResult1.add(intermediateResult2, _mathContext)); + } catch (Exception e) { + throw new RuntimeException("Caught Exception while merging results in sum with precision function", e); + } + } + + @Override + public boolean isIntermediateResultComparable() { + return true; + } + + @Override + public DataSchema.ColumnDataType getIntermediateResultColumnType() { + return DataSchema.ColumnDataType.OBJECT; + } + + @Override + public DataSchema.ColumnDataType getFinalResultColumnType() { + return DataSchema.ColumnDataType.STRING; + } + + @Override + public BigDecimal extractFinalResult(BigDecimal intermediateResult) { + return intermediateResult; + } + + public BigDecimal getDefaultResult(AggregationResultHolder aggregationResultHolder) { + BigDecimal result = aggregationResultHolder.getResult(); + if (result == null) { + result = new BigDecimal(0, _mathContext); + aggregationResultHolder.setValue(result); + } + result = setScale(result); + return result; + } + + public BigDecimal getDefaultResult(GroupByResultHolder groupByResultHolder, int groupKey) { + BigDecimal result = groupByResultHolder.getResult(groupKey); + if (result == null) { + result = new BigDecimal(0, _mathContext); + groupByResultHolder.setValueForKey(groupKey, result); + } + result = setScale(result); + return result; + } + + private BigDecimal setScale(BigDecimal value) { Review comment: If the user doesn't set scale, then just return the value as such otherwise set the scale value. Just a small helper method to avoid if else in the code. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@pinot.apache.org For additional commands, e-mail: commits-h...@pinot.apache.org
