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使用MapReduce将HDFS数据导入到HBase(二)
package com.bank.service;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableOutputFormat;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.util.GenericOptionsParser;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
/**
* 使用MapReduce批量导入Hbase
* 通过TableOutputFormat,该类内部传给指定的Put实例并调用table.put()方法。作业结束前会主动调用flushCommits()方法保存仍在写缓冲区的数据
*
* @author mengyao
*
*/
public class CnyBatch extends Configured implements Tool {
static class CnyBatchMapper extends Mapper<LongWritable, Text, LongWritable, Text> {
protected void map(LongWritable key, Text value, Context context)
throws java.io.IOException, InterruptedException {
context.write(key, value);
}
}
static class CnyBatchReduce extends TableReducer<LongWritable, Text, NullWritable> {
private final static String familyName = "info";
private final static String[] qualifiers = {"gzh", "currency", "version", "valuta", "qfTime", "flag", "machineID"};
@Override
protected void reduce(LongWritable key,
java.lang.Iterable<Text> value, Context context)
throws java.io.IOException, InterruptedException {
final String[] values = value.toString().split("\t");
if (values.length == 7 && values.length == qualifiers.length) {
final String row = values[0]+"_"+values[1]+"_"+values[2]+"_"+values[3];
long timestamp = System.currentTimeMillis();
Put put = new Put(Bytes.toBytes(row));
for (int i = 0; i < values.length; i++) {
String qualifier = qualifiers[i];
String val = values[i];
put.add(Bytes.toBytes(familyName), Bytes.toBytes(qualifier), timestamp, Bytes.toBytes(val));
}
context.write(NullWritable.get(), put);
} else {
System.err.println(" ERROR: value length must equale qualifier length ");
}
};
}
@Override
public int run(String[] arg0) throws Exception {
Job job = Job.getInstance(getConf(), CnyBatch.class.getSimpleName());
TableMapReduceUtil.addDependencyJars(job);
job.setJarByClass(CnyBatch.class);
FileInputFormat.setInputPaths(job, arg0[0]);
job.setMapperClass(CnyBatchMapper.class);
job.setMapOutputKeyClass(LongWritable.class);
job.setMapOutputValueClass(Text.class);
job.setReducerClass(CnyBatchReduce.class);
job.setOutputFormatClass(TableOutputFormat.class);
return job.waitForCompletion(true) ? 0 : 1;
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
conf.set("hbase.zookeeper.quorum", "h5:2181,h6:2181,h7:2181");
conf.set("hbase.zookeeper.property.clientPort", "2181");
conf.set("dfs.socket.timeout", "100000");
String[] otherArgs = new GenericOptionsParser(args).getRemainingArgs();
if (otherArgs.length != 2) {
System.err.println(" ERROR: <dataInputDir> <tableName>");
System.exit(2);
}
conf.set(TableOutputFormat.OUTPUT_TABLE, args[1]);
int status = ToolRunner.run(conf, new CnyBatch(), args);
System.exit(status);
}
}
使用MapReduce将HDFS数据导入到HBase(二)