hbase跨机房同步

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hbase shell
snapshot 'your_table_snapshot',’your_table'

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[root@bwsc65 ~]# hadoop fs -ls hdfs://172.19.123.151:9000/hbase/.hbase-snapshot/
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/application/hadoop-2.6.4/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/application/hbase-1.1.4/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
Found 2 items
drwxr-xr-x   - root supergroup          0 2019-09-04 14:07 hdfs://172.19.123.151:9000/hbase/.hbase-snapshot/.tmp
drwxr-xr-x   - root supergroup          0 2019-09-04 14:07 hdfs://172.19.123.151:9000/hbase/.hbase-snapshot/my_table_09041407

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hbase org.apache.hadoop.hbase.snapshot.ExportSnapshot 
-snapshot my_table_09041407 -copy-from hdfs://172.19.123.151:9000/hbase 
-copy-to hdfs://10.101.10.65:9000/hbase   -overwrite -mappers 16 -bandwidth  1024

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2019-09-04 14:19:00,993 INFO  [main] mapreduce.Job: Task Id : attempt_1558491925397_0127_m_000013_2, Status : FAILED
Error: Java heap space
2019-09-04 14:19:01,995 INFO  [main] mapreduce.Job:  map 100% reduce 0%
2019-09-04 14:19:02,001 INFO  [main] mapreduce.Job: Job job_1558491925397_0127 failed with state FAILED due to: Task failed task_1558491925397_0127_m_000002
Job failed as tasks failed. failedMaps:1 failedReduces:0

2019-09-04 14:19:02,070 INFO  [main] mapreduce.Job: Counters: 12
        Job Counters
                Failed map tasks=41
                Killed map tasks=15
                Launched map tasks=51
                Other local map tasks=51
                Total time spent by all maps in occupied slots (ms)=474640
                Total time spent by all reduces in occupied slots (ms)=0
                Total time spent by all map tasks (ms)=118660
                Total vcore-seconds taken by all map tasks=118660
                Total megabyte-seconds taken by all map tasks=121507840
        Map-Reduce Framework
                CPU time spent (ms)=0
                Physical memory (bytes) snapshot=0
                Virtual memory (bytes) snapshot=0
2019-09-04 14:19:02,072 ERROR [main] snapshot.ExportSnapshot: Snapshot export failed
org.apache.hadoop.hbase.snapshot.ExportSnapshotException: Copy Files Map-Reduce Job failed
        at org.apache.hadoop.hbase.snapshot.ExportSnapshot.runCopyJob(ExportSnapshot.java:804)
        at org.apache.hadoop.hbase.snapshot.ExportSnapshot.run(ExportSnapshot.java:997)
        at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
        at org.apache.hadoop.hbase.snapshot.ExportSnapshot.innerMain(ExportSnapshot.java:1071)
        at org.apache.hadoop.hbase.snapshot.ExportSnapshot.main(ExportSnapshot.java:1075)

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vim mapred-site.xml
# 添加以下内容
        
        <property>
                <name>mapred.child.java.opts</name>
                <value>-Xmx1024m</value>
         </property>
 stop-hbase.sh 
 stop-all.sh
 start-all.sh
 start-hbase.sh

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hadoop distcp -Dmapreduce.job.queue.name=queue_0001_01 -update -skipcrccheck -m 100 hdfs://172.19.123.151:9000/hbase/data/default/my_table /hbase/data/default/my_table 

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# 这个在目标服务器上执行，
create '表', { NAME => 'o', COMPRESSION => 'SNAPPY' }, {NUMREGIONS => 10, SPLITALGO => 'HexStringSplit'}

# 这个在源服务器上执行
# *.test.com.cn这些是目标服务器上zookeeper的，这里不是走的vpn，因为没考虑这个预算，故只能设置白名单的方式控制访问。
hbase org.apache.hadoop.hbase.mapreduce.CopyTable --peer.adr=bg15.test.com.cn,bg7.test.com.cn,bg16.test.com.cn,bg6.test.com.cn,bg8.test.com.cn:2181:/hbase 表