我正在尝试对hbase中的两个表进行mapside连接。我的目标是在hashmap中保存小表的记录,并与大表进行比较,一旦匹配,就在hbase中的表中再次写入记录。我使用mapper和reducer为连接操作编写了类似的代码,效果很好,两个表都在mapper类中扫描。但是由于reduce-side连接根本没有效率,所以我只想在mapper-side中连接表。在下面的代码中,“commented if block”只是看到它总是返回false,并且第一个表(小表)没有被读取。如有任何帮助,我们将不胜感激。我用的是hdp沙盒。
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
//import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper.Context;
import org.apache.hadoop.util.Tool;
import com.sun.tools.javac.util.Log;
import java.io.IOException;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapred.TableOutputFormat;
import org.apache.hadoop.hbase.mapreduce.TableMapper;
import org.apache.hadoop.hbase.mapreduce.TableSplit;
public class JoinDriver extends Configured implements Tool {
static int row_index = 0;
public static class JoinJobMapper extends TableMapper<ImmutableBytesWritable, Put> {
private static byte[] big_table_bytarr = Bytes.toBytes("big_table");
private static byte[] small_table_bytarr = Bytes.toBytes("small_table");
HashMap<String,String> myHashMap = new HashMap<String, String>();
byte[] c1_value;
byte[] c2_value;
String big_table;
String small_table;
String big_table_c1;
String big_table_c2;
String small_table_c1;
String small_table_c2;
Text mapperKeyS;
Text mapperValueS;
Text mapperKeyB;
Text mapperValueB;
public void map(ImmutableBytesWritable rowKey, Result columns, Context context) {
TableSplit currentSplit = (TableSplit) context.getInputSplit();
byte[] tableName = currentSplit.getTableName();
try {
Put put = new Put(Bytes.toBytes(++row_index));
// put small table into hashmap - myhashMap
if (Arrays.equals(tableName, small_table_bytarr)) {
c1_value = columns.getValue(Bytes.toBytes("s_cf"), Bytes.toBytes("s_cf_c1"));
c2_value = columns.getValue(Bytes.toBytes("s_cf"), Bytes.toBytes("s_cf_c2"));
small_table_c1 = new String(c1_value);
small_table_c2 = new String(c2_value);
mapperKeyS = new Text(small_table_c1);
mapperValueS = new Text(small_table_c2);
myHashMap.put(small_table_c1,small_table_c2);
} else if (Arrays.equals(tableName, big_table_bytarr)) {
c1_value = columns.getValue(Bytes.toBytes("b_cf"), Bytes.toBytes("b_cf_c1"));
c2_value = columns.getValue(Bytes.toBytes("b_cf"), Bytes.toBytes("b_cf_c2"));
big_table_c1 = new String(c1_value);
big_table_c2 = new String(c2_value);
mapperKeyB = new Text(big_table_c1);
mapperValueB = new Text(big_table_c2);
// if (set.containsKey(big_table_c1)){
put.addColumn(Bytes.toBytes("join"), Bytes.toBytes("join_c1"), Bytes.toBytes(big_table_c1));
context.write(new ImmutableBytesWritable(mapperKeyB.getBytes()), put );
put.addColumn(Bytes.toBytes("join"), Bytes.toBytes("join_c2"), Bytes.toBytes(big_table_c2));
context.write(new ImmutableBytesWritable(mapperKeyB.getBytes()), put );
put.addColumn(Bytes.toBytes("join"), Bytes.toBytes("join_c3"),Bytes.toBytes((myHashMap.get(big_table_c1))));
context.write(new ImmutableBytesWritable(mapperKeyB.getBytes()), put );
// }
}
} catch (Exception e) {
// TODO : exception handling logic
e.printStackTrace();
}
}
}
public int run(String[] args) throws Exception {
List<Scan> scans = new ArrayList<Scan>();
Scan scan1 = new Scan();
scan1.setAttribute("scan.attributes.table.name", Bytes.toBytes("small_table"));
System.out.println(scan1.getAttribute("scan.attributes.table.name"));
scans.add(scan1);
Scan scan2 = new Scan();
scan2.setAttribute("scan.attributes.table.name", Bytes.toBytes("big_table"));
System.out.println(scan2.getAttribute("scan.attributes.table.name"));
scans.add(scan2);
Configuration conf = new Configuration();
Job job = new Job(conf);
job.setJar("MSJJ.jar");
job.setJarByClass(JoinDriver.class);
TableMapReduceUtil.initTableMapperJob(scans, JoinJobMapper.class, ImmutableBytesWritable.class, Put.class, job);
TableMapReduceUtil.initTableReducerJob("joined_table", null, job);
job.setNumReduceTasks(0);
job.waitForCompletion(true);
return 0;
}
public static void main(String[] args) throws Exception {
JoinDriver runJob = new JoinDriver();
runJob.run(args);
}
}
1条答案
按热度按时间nzkunb0c1#
通过阅读您的问题陈述,我相信您对使用多个hbase表输入有一些错误的认识。我建议您在mapper类的setup方法中加载hashmap中的小表。然后在大表上使用map only job,在map方法中可以从之前加载的hashmap中获取相应的值。告诉我这是怎么回事。