/** * 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.mapreduce.lib.db; import java.sql.ResultSet; import java.sql.SQLException; import java.util.ArrayList; import java.util.List; import org.apache.hadoop.classification.InterfaceAudience; import org.apache.hadoop.classification.InterfaceStability; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.mapreduce.InputSplit; import org.apache.hadoop.mapreduce.MRJobConfig; /** * Implement DBSplitter over integer values. */ @InterfaceAudience.Public @InterfaceStability.Evolving public class IntegerSplitter implements DBSplitter { public List<InputSplit> split(Configuration conf, ResultSet results, String colName) throws SQLException { long minVal = results.getLong(1); long maxVal = results.getLong(2); String lowClausePrefix = colName + " >= "; String highClausePrefix = colName + " < "; int numSplits = conf.getInt(MRJobConfig.NUM_MAPS, 1); if (numSplits < 1) { numSplits = 1; } if (results.getString(1) == null && results.getString(2) == null) { // Range is null to null. Return a null split accordingly. List<InputSplit> splits = new ArrayList<InputSplit>(); splits.add(new DataDrivenDBInputFormat.DataDrivenDBInputSplit( colName + " IS NULL", colName + " IS NULL")); return splits; } // Get all the split points together. List<Long> splitPoints = split(numSplits, minVal, maxVal); List<InputSplit> splits = new ArrayList<InputSplit>(); // Turn the split points into a set of intervals. long start = splitPoints.get(0); for (int i = 1; i < splitPoints.size(); i++) { long end = splitPoints.get(i); if (i == splitPoints.size() - 1) { // This is the last one; use a closed interval. splits.add(new DataDrivenDBInputFormat.DataDrivenDBInputSplit( lowClausePrefix + Long.toString(start), colName + " <= " + Long.toString(end))); } else { // Normal open-interval case. splits.add(new DataDrivenDBInputFormat.DataDrivenDBInputSplit( lowClausePrefix + Long.toString(start), highClausePrefix + Long.toString(end))); } start = end; } if (results.getString(1) == null || results.getString(2) == null) { // At least one extrema is null; add a null split. splits.add(new DataDrivenDBInputFormat.DataDrivenDBInputSplit( colName + " IS NULL", colName + " IS NULL")); } return splits; } /** * Returns a list of longs one element longer than the list of input splits. * This represents the boundaries between input splits. * All splits are open on the top end, except the last one. * * So the list [0, 5, 8, 12, 18] would represent splits capturing the intervals: * * [0, 5) * [5, 8) * [8, 12) * [12, 18] note the closed interval for the last split. */ List<Long> split(long numSplits, long minVal, long maxVal) throws SQLException { List<Long> splits = new ArrayList<Long>(); // Use numSplits as a hint. May need an extra task if the size doesn't // divide cleanly. long splitSize = (maxVal - minVal) / numSplits; if (splitSize < 1) { splitSize = 1; } long curVal = minVal; while (curVal <= maxVal) { splits.add(curVal); curVal += splitSize; } if (splits.get(splits.size() - 1) != maxVal || splits.size() == 1) { // We didn't end on the maxVal. Add that to the end of the list. splits.add(maxVal); } return splits; } }