| /* |
| * 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.hbase.backup.mapreduce; |
| |
| import java.io.IOException; |
| import org.apache.hadoop.conf.Configuration; |
| import org.apache.hadoop.conf.Configured; |
| import org.apache.hadoop.fs.Path; |
| import org.apache.hadoop.hbase.Cell; |
| import org.apache.hadoop.hbase.CellUtil; |
| import org.apache.hadoop.hbase.HBaseConfiguration; |
| import org.apache.hadoop.hbase.TableName; |
| import org.apache.hadoop.hbase.client.Connection; |
| import org.apache.hadoop.hbase.client.ConnectionFactory; |
| import org.apache.hadoop.hbase.client.RegionLocator; |
| import org.apache.hadoop.hbase.client.Table; |
| import org.apache.hadoop.hbase.io.ImmutableBytesWritable; |
| import org.apache.hadoop.hbase.mapreduce.CellSortReducer; |
| import org.apache.hadoop.hbase.mapreduce.HFileInputFormat; |
| import org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2; |
| import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; |
| import org.apache.hadoop.hbase.util.EnvironmentEdgeManager; |
| import org.apache.hadoop.hbase.util.MapReduceExtendedCell; |
| import org.apache.hadoop.io.NullWritable; |
| import org.apache.hadoop.mapreduce.Job; |
| import org.apache.hadoop.mapreduce.Mapper; |
| import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; |
| import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; |
| import org.apache.hadoop.util.Tool; |
| import org.apache.hadoop.util.ToolRunner; |
| import org.apache.yetus.audience.InterfaceAudience; |
| import org.slf4j.Logger; |
| import org.slf4j.LoggerFactory; |
| |
| /** |
| * A tool to split HFiles into new region boundaries as a MapReduce job. The tool generates HFiles |
| * for later bulk importing. |
| */ |
| @InterfaceAudience.Private |
| public class MapReduceHFileSplitterJob extends Configured implements Tool { |
| private static final Logger LOG = LoggerFactory.getLogger(MapReduceHFileSplitterJob.class); |
| final static String NAME = "HFileSplitterJob"; |
| public final static String BULK_OUTPUT_CONF_KEY = "hfile.bulk.output"; |
| public final static String TABLES_KEY = "hfile.input.tables"; |
| public final static String TABLE_MAP_KEY = "hfile.input.tablesmap"; |
| private final static String JOB_NAME_CONF_KEY = "mapreduce.job.name"; |
| |
| public MapReduceHFileSplitterJob() { |
| } |
| |
| protected MapReduceHFileSplitterJob(final Configuration c) { |
| super(c); |
| } |
| |
| /** |
| * A mapper that just writes out cells. This one can be used together with {@link CellSortReducer} |
| */ |
| static class HFileCellMapper extends Mapper<NullWritable, Cell, ImmutableBytesWritable, Cell> { |
| |
| @Override |
| public void map(NullWritable key, Cell value, Context context) |
| throws IOException, InterruptedException { |
| context.write(new ImmutableBytesWritable(CellUtil.cloneRow(value)), |
| new MapReduceExtendedCell(value)); |
| } |
| |
| @Override |
| public void setup(Context context) throws IOException { |
| // do nothing |
| } |
| } |
| |
| /** |
| * Sets up the actual job. |
| * @param args The command line parameters. |
| * @return The newly created job. |
| * @throws IOException When setting up the job fails. |
| */ |
| public Job createSubmittableJob(String[] args) throws IOException { |
| Configuration conf = getConf(); |
| String inputDirs = args[0]; |
| String tabName = args[1]; |
| conf.setStrings(TABLES_KEY, tabName); |
| conf.set(FileInputFormat.INPUT_DIR, inputDirs); |
| Job job = Job.getInstance(conf, |
| conf.get(JOB_NAME_CONF_KEY, NAME + "_" + EnvironmentEdgeManager.currentTime())); |
| // MapReduceHFileSplitter needs ExtendedCellSerialization so that sequenceId can be propagated |
| // when sorting cells in CellSortReducer |
| job.getConfiguration().setBoolean(HFileOutputFormat2.EXTENDED_CELL_SERIALIZATION_ENABLED_KEY, |
| true); |
| job.setJarByClass(MapReduceHFileSplitterJob.class); |
| job.setInputFormatClass(HFileInputFormat.class); |
| job.setMapOutputKeyClass(ImmutableBytesWritable.class); |
| String hfileOutPath = conf.get(BULK_OUTPUT_CONF_KEY); |
| if (hfileOutPath != null) { |
| LOG.debug("add incremental job :" + hfileOutPath + " from " + inputDirs); |
| TableName tableName = TableName.valueOf(tabName); |
| job.setMapperClass(HFileCellMapper.class); |
| job.setReducerClass(CellSortReducer.class); |
| Path outputDir = new Path(hfileOutPath); |
| FileOutputFormat.setOutputPath(job, outputDir); |
| job.setMapOutputValueClass(MapReduceExtendedCell.class); |
| try (Connection conn = ConnectionFactory.createConnection(conf); |
| Table table = conn.getTable(tableName); |
| RegionLocator regionLocator = conn.getRegionLocator(tableName)) { |
| HFileOutputFormat2.configureIncrementalLoad(job, table.getDescriptor(), regionLocator); |
| } |
| LOG.debug("success configuring load incremental job"); |
| |
| TableMapReduceUtil.addDependencyJarsForClasses(job.getConfiguration(), |
| org.apache.hbase.thirdparty.com.google.common.base.Preconditions.class); |
| } else { |
| throw new IOException("No bulk output directory specified"); |
| } |
| return job; |
| } |
| |
| /** |
| * Print usage |
| * @param errorMsg Error message. Can be null. |
| */ |
| private void usage(final String errorMsg) { |
| if (errorMsg != null && errorMsg.length() > 0) { |
| System.err.println("ERROR: " + errorMsg); |
| } |
| System.err.println("Usage: " + NAME + " [options] <HFile inputdir(s)> <table>"); |
| System.err.println("Read all HFile's for <table> and split them to <table> region boundaries."); |
| System.err.println("<table> table to load.\n"); |
| System.err.println("To generate HFiles for a bulk data load, pass the option:"); |
| System.err.println(" -D" + BULK_OUTPUT_CONF_KEY + "=/path/for/output"); |
| System.err.println("Other options:"); |
| System.err.println(" -D " + JOB_NAME_CONF_KEY |
| + "=jobName - use the specified mapreduce job name for the HFile splitter"); |
| System.err.println("For performance also consider the following options:\n" |
| + " -Dmapreduce.map.speculative=false\n" + " -Dmapreduce.reduce.speculative=false"); |
| } |
| |
| /** |
| * Main entry point. |
| * @param args The command line parameters. |
| * @throws Exception When running the job fails. |
| */ |
| public static void main(String[] args) throws Exception { |
| int ret = ToolRunner.run(new MapReduceHFileSplitterJob(HBaseConfiguration.create()), args); |
| System.exit(ret); |
| } |
| |
| @Override |
| public int run(String[] args) throws Exception { |
| if (args.length < 2) { |
| usage("Wrong number of arguments: " + args.length); |
| return -1; |
| } |
| Job job = createSubmittableJob(args); |
| int result = job.waitForCompletion(true) ? 0 : 1; |
| return result; |
| } |
| } |