/** * 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.hadoop.hive.metastore.hbase.stats.merge; import org.apache.hadoop.hive.metastore.NumDistinctValueEstimator; import org.apache.hadoop.hive.metastore.api.ColumnStatisticsObj; import org.apache.hadoop.hive.metastore.api.Decimal; import org.apache.hadoop.hive.metastore.api.DecimalColumnStatsData; public class DecimalColumnStatsMerger extends ColumnStatsMerger { @Override public void merge(ColumnStatisticsObj aggregateColStats, ColumnStatisticsObj newColStats) { DecimalColumnStatsData aggregateData = aggregateColStats.getStatsData().getDecimalStats(); DecimalColumnStatsData newData = newColStats.getStatsData().getDecimalStats(); Decimal lowValue = aggregateData.getLowValue() != null && (aggregateData.getLowValue().compareTo(newData.getLowValue()) > 0) ? aggregateData .getLowValue() : newData.getLowValue(); aggregateData.setLowValue(lowValue); Decimal highValue = aggregateData.getHighValue() != null && (aggregateData.getHighValue().compareTo(newData.getHighValue()) > 0) ? aggregateData .getHighValue() : newData.getHighValue(); aggregateData.setHighValue(highValue); aggregateData.setNumNulls(aggregateData.getNumNulls() + newData.getNumNulls()); if (ndvEstimator == null || !newData.isSetBitVectors() || newData.getBitVectors().length() == 0) { aggregateData.setNumDVs(Math.max(aggregateData.getNumDVs(), newData.getNumDVs())); } else { ndvEstimator.mergeEstimators(new NumDistinctValueEstimator(aggregateData.getBitVectors(), ndvEstimator.getnumBitVectors())); ndvEstimator.mergeEstimators(new NumDistinctValueEstimator(newData.getBitVectors(), ndvEstimator.getnumBitVectors())); long ndv = ndvEstimator.estimateNumDistinctValues(); LOG.debug("Use bitvector to merge column " + aggregateColStats.getColName() + "'s ndvs of " + aggregateData.getNumDVs() + " and " + newData.getNumDVs() + " to be " + ndv); aggregateData.setNumDVs(ndv); aggregateData.setBitVectors(ndvEstimator.serialize().toString()); } } }