001/* 002 * Licensed to the Apache Software Foundation (ASF) under one 003 * or more contributor license agreements. See the NOTICE file 004 * distributed with this work for additional information 005 * regarding copyright ownership. The ASF licenses this file 006 * to you under the Apache License, Version 2.0 (the 007 * "License"); you may not use this file except in compliance 008 * with the License. You may obtain a copy of the License at 009 * 010 * http://www.apache.org/licenses/LICENSE-2.0 011 * 012 * Unless required by applicable law or agreed to in writing, software 013 * distributed under the License is distributed on an "AS IS" BASIS, 014 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 015 * See the License for the specific language governing permissions and 016 * limitations under the License. 017 */ 018package org.apache.hadoop.hbase.backup.mapreduce; 019 020import java.io.IOException; 021import org.apache.hadoop.conf.Configuration; 022import org.apache.hadoop.conf.Configured; 023import org.apache.hadoop.fs.Path; 024import org.apache.hadoop.hbase.Cell; 025import org.apache.hadoop.hbase.CellUtil; 026import org.apache.hadoop.hbase.HBaseConfiguration; 027import org.apache.hadoop.hbase.TableName; 028import org.apache.hadoop.hbase.client.Connection; 029import org.apache.hadoop.hbase.client.ConnectionFactory; 030import org.apache.hadoop.hbase.client.RegionLocator; 031import org.apache.hadoop.hbase.client.Table; 032import org.apache.hadoop.hbase.io.ImmutableBytesWritable; 033import org.apache.hadoop.hbase.mapreduce.CellSortReducer; 034import org.apache.hadoop.hbase.mapreduce.HFileInputFormat; 035import org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2; 036import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; 037import org.apache.hadoop.hbase.util.EnvironmentEdgeManager; 038import org.apache.hadoop.hbase.util.MapReduceExtendedCell; 039import org.apache.hadoop.io.NullWritable; 040import org.apache.hadoop.mapreduce.Job; 041import org.apache.hadoop.mapreduce.Mapper; 042import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; 043import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; 044import org.apache.hadoop.util.Tool; 045import org.apache.hadoop.util.ToolRunner; 046import org.apache.yetus.audience.InterfaceAudience; 047import org.slf4j.Logger; 048import org.slf4j.LoggerFactory; 049 050/** 051 * A tool to split HFiles into new region boundaries as a MapReduce job. The tool generates HFiles 052 * for later bulk importing. 053 */ 054@InterfaceAudience.Private 055public class MapReduceHFileSplitterJob extends Configured implements Tool { 056 private static final Logger LOG = LoggerFactory.getLogger(MapReduceHFileSplitterJob.class); 057 final static String NAME = "HFileSplitterJob"; 058 public final static String BULK_OUTPUT_CONF_KEY = "hfile.bulk.output"; 059 public final static String TABLES_KEY = "hfile.input.tables"; 060 public final static String TABLE_MAP_KEY = "hfile.input.tablesmap"; 061 private final static String JOB_NAME_CONF_KEY = "mapreduce.job.name"; 062 063 public MapReduceHFileSplitterJob() { 064 } 065 066 protected MapReduceHFileSplitterJob(final Configuration c) { 067 super(c); 068 } 069 070 /** 071 * A mapper that just writes out cells. This one can be used together with {@link CellSortReducer} 072 */ 073 static class HFileCellMapper extends Mapper<NullWritable, Cell, ImmutableBytesWritable, Cell> { 074 075 @Override 076 public void map(NullWritable key, Cell value, Context context) 077 throws IOException, InterruptedException { 078 context.write(new ImmutableBytesWritable(CellUtil.cloneRow(value)), 079 new MapReduceExtendedCell(value)); 080 } 081 082 @Override 083 public void setup(Context context) throws IOException { 084 // do nothing 085 } 086 } 087 088 /** 089 * Sets up the actual job. 090 * @param args The command line parameters. 091 * @return The newly created job. 092 * @throws IOException When setting up the job fails. 093 */ 094 public Job createSubmittableJob(String[] args) throws IOException { 095 Configuration conf = getConf(); 096 String inputDirs = args[0]; 097 String tabName = args[1]; 098 conf.setStrings(TABLES_KEY, tabName); 099 conf.set(FileInputFormat.INPUT_DIR, inputDirs); 100 Job job = Job.getInstance(conf, 101 conf.get(JOB_NAME_CONF_KEY, NAME + "_" + EnvironmentEdgeManager.currentTime())); 102 // MapReduceHFileSplitter needs ExtendedCellSerialization so that sequenceId can be propagated 103 // when sorting cells in CellSortReducer 104 job.getConfiguration().setBoolean(HFileOutputFormat2.EXTENDED_CELL_SERIALIZATION_ENABLED_KEY, 105 true); 106 job.setJarByClass(MapReduceHFileSplitterJob.class); 107 job.setInputFormatClass(HFileInputFormat.class); 108 job.setMapOutputKeyClass(ImmutableBytesWritable.class); 109 String hfileOutPath = conf.get(BULK_OUTPUT_CONF_KEY); 110 if (hfileOutPath != null) { 111 LOG.debug("add incremental job :" + hfileOutPath + " from " + inputDirs); 112 TableName tableName = TableName.valueOf(tabName); 113 job.setMapperClass(HFileCellMapper.class); 114 job.setReducerClass(CellSortReducer.class); 115 Path outputDir = new Path(hfileOutPath); 116 FileOutputFormat.setOutputPath(job, outputDir); 117 job.setMapOutputValueClass(MapReduceExtendedCell.class); 118 try (Connection conn = ConnectionFactory.createConnection(conf); 119 Table table = conn.getTable(tableName); 120 RegionLocator regionLocator = conn.getRegionLocator(tableName)) { 121 HFileOutputFormat2.configureIncrementalLoad(job, table.getDescriptor(), regionLocator); 122 } 123 LOG.debug("success configuring load incremental job"); 124 125 TableMapReduceUtil.addDependencyJars(job.getConfiguration(), 126 org.apache.hbase.thirdparty.com.google.common.base.Preconditions.class); 127 } else { 128 throw new IOException("No bulk output directory specified"); 129 } 130 return job; 131 } 132 133 /** 134 * Print usage 135 * @param errorMsg Error message. Can be null. 136 */ 137 private void usage(final String errorMsg) { 138 if (errorMsg != null && errorMsg.length() > 0) { 139 System.err.println("ERROR: " + errorMsg); 140 } 141 System.err.println("Usage: " + NAME + " [options] <HFile inputdir(s)> <table>"); 142 System.err.println("Read all HFile's for <table> and split them to <table> region boundaries."); 143 System.err.println("<table> table to load.\n"); 144 System.err.println("To generate HFiles for a bulk data load, pass the option:"); 145 System.err.println(" -D" + BULK_OUTPUT_CONF_KEY + "=/path/for/output"); 146 System.err.println("Other options:"); 147 System.err.println(" -D " + JOB_NAME_CONF_KEY 148 + "=jobName - use the specified mapreduce job name for the HFile splitter"); 149 System.err.println("For performance also consider the following options:\n" 150 + " -Dmapreduce.map.speculative=false\n" + " -Dmapreduce.reduce.speculative=false"); 151 } 152 153 /** 154 * Main entry point. 155 * @param args The command line parameters. 156 * @throws Exception When running the job fails. 157 */ 158 public static void main(String[] args) throws Exception { 159 int ret = ToolRunner.run(new MapReduceHFileSplitterJob(HBaseConfiguration.create()), args); 160 System.exit(ret); 161 } 162 163 @Override 164 public int run(String[] args) throws Exception { 165 if (args.length < 2) { 166 usage("Wrong number of arguments: " + args.length); 167 return -1; 168 } 169 Job job = createSubmittableJob(args); 170 int result = job.waitForCompletion(true) ? 0 : 1; 171 return result; 172 } 173}