Backing Up and Restoring HBase Data
There are two strategies for backing up HBase:
1> Backing it up with a full cluster shutdown
2> Backing it up on a live cluster
3> Backing Up and Restoring HBase Data
A full shutdown backup has to stop HBase (or disable all tables) at first, then use Hadoop's distcp command to copy the contents of an HBase directory to either another directory on the same HDFS, or to a different HDFS. To restore from a full shutdown backup, just copy the backed up files, back to the HBase directory using distcp.
There are several approaches for a live cluster backup:
1> Using the CopyTable utility to copy data from one table to another
2> Exporting an HBase table to HDFS files, and importing the files back to HBase
3> HBase cluster replication
The CopyTable utility could be used to copy data from one table to either another one on the same cluster, or to a different cluster. The Export utility dumps the data of a table to HDFS,which is on the same cluster. As a set of Export, the Import utility is used to restore the data of the dump files.
方法 1:
landen@Master:~/UntarFile/hbase-0.94.12$ bin/hbase org.apache.hadoop.hbase.mapreduce.Export
Usage: Export [-D <property=value>]* <tablename> <outputdir> [<versions> [<starttime> [<endtime>]] [^[regex pattern] or [Prefix] to filter]] Note: -D properties will be applied to the conf used.
For example:
-D mapred.output.compress=true
-D mapred.output.compression.codec=org.apache.hadoop.io.compress.GzipCodec
-D mapred.output.compression.type=BLOCK
Additionally, the following SCAN properties can be specified
to control/limit what is exported..
-D hbase.mapreduce.scan.column.family=<familyName>
-D hbase.mapreduce.include.deleted.rows=true
For performance consider the following properties:
-Dhbase.client.scanner.caching=100
-Dmapred.map.tasks.speculative.execution=false
-Dmapred.reduce.tasks.speculative.execution=false
landen@Master:~/UntarFile/hbase-0.94.12$ bin/hbase org.apache.hadoop.hbase.mapreduce.Export -D mapred.output.compress=true -D mapred.output.compression.codec=org.apache.hadoop.io.compress.BZip2Codec -D mapred.output.compression.type=BLOCK -D hbase.mapreduce.scan.column.family=IPAddress(可以","添加多个列簇) HiddenIPInfo(对应的HBase需导出的表) /backup/HBaseExport(导出数据时自动创建该目录)
13/12/10 20:12:15 INFO mapreduce.Export: versions=1, starttime=0, endtime=9223372036854775807, keepDeletedCells=false
13/12/10 20:12:15 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.zookeeper.ZooKeeper, using jar /home/landen/UntarFile/hbase-0.94.12/lib/zookeeper-3.4.5.jar
13/12/10 20:12:15 DEBUG mapreduce.TableMapReduceUtil: For class com.google.protobuf.Message, using jar /home/landen/UntarFile/hbase-0.94.12/lib/protobuf-java-2.4.0a.jar
13/12/10 20:12:15 DEBUG mapreduce.TableMapReduceUtil: For class com.google.common.collect.ImmutableSet, using jar /home/landen/UntarFile/hbase-0.94.12/lib/guava-11.0.2.jar
13/12/10 20:12:15 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.hbase.util.Bytes, using jar /home/landen/UntarFile/hbase-0.94.12/hbase-0.94.12.jar
13/12/10 20:12:15 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.io.LongWritable, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 20:12:15 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.io.Text, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 20:12:15 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.hbase.mapreduce.TableInputFormat, using jar /home/landen/UntarFile/hbase-0.94.12/hbase-0.94.12.jar
13/12/10 20:12:15 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.io.LongWritable, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 20:12:15 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.io.Text, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 20:12:15 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.mapreduce.lib.output.TextOutputFormat, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 20:12:15 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.mapreduce.lib.partition.HashPartitioner, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
..........................
13/12/10 20:12:29 DEBUG mapreduce.TableInputFormatBase: getSplits: split -> 0 -> slave1:,
13/12/10 20:12:32 INFO mapred.JobClient: Running job: job_201312042044_0033
13/12/10 20:12:33 INFO mapred.JobClient: map 0% reduce 0%
13/12/10 20:12:53 INFO mapred.JobClient: map 100% reduce 0%
13/12/10 20:12:58 INFO mapred.JobClient: Job complete: job_201312042044_0033
13/12/10 20:12:59 INFO mapred.JobClient: Counters: 29
13/12/10 20:12:59 INFO mapred.JobClient: Job Counters
13/12/10 20:12:59 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=11992
13/12/10 20:12:59 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0
13/12/10 20:12:59 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0
13/12/10 20:12:59 INFO mapred.JobClient: Rack-local map tasks=1
13/12/10 20:12:59 INFO mapred.JobClient: Launched map tasks=1
13/12/10 20:12:59 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=0
13/12/10 20:12:59 INFO mapred.JobClient: HBase Counters
13/12/10 20:12:59 INFO mapred.JobClient: REMOTE_RPC_CALLS=0
13/12/10 20:12:59 INFO mapred.JobClient: RPC_CALLS=6
13/12/10 20:12:59 INFO mapred.JobClient: RPC_RETRIES=0
13/12/10 20:12:59 INFO mapred.JobClient: NOT_SERVING_REGION_EXCEPTION=0
13/12/10 20:12:59 INFO mapred.JobClient: NUM_SCANNER_RESTARTS=0
13/12/10 20:12:59 INFO mapred.JobClient: MILLIS_BETWEEN_NEXTS=6
13/12/10 20:12:59 INFO mapred.JobClient: BYTES_IN_RESULTS=1493
13/12/10 20:12:59 INFO mapred.JobClient: BYTES_IN_REMOTE_RESULTS=0
13/12/10 20:12:59 INFO mapred.JobClient: REGIONS_SCANNED=1
13/12/10 20:12:59 INFO mapred.JobClient: REMOTE_RPC_RETRIES=0
13/12/10 20:12:59 INFO mapred.JobClient: File Output Format Counters
13/12/10 20:12:59 INFO mapred.JobClient: Bytes Written=775
13/12/10 20:12:59 INFO mapred.JobClient: FileSystemCounters
13/12/10 20:12:59 INFO mapred.JobClient: HDFS_BYTES_READ=69
13/12/10 20:12:59 INFO mapred.JobClient: FILE_BYTES_WRITTEN=35024
13/12/10 20:12:59 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=775
13/12/10 20:12:59 INFO mapred.JobClient: File Input Format Counters
13/12/10 20:12:59 INFO mapred.JobClient: Bytes Read=0
13/12/10 20:12:59 INFO mapred.JobClient: Map-Reduce Framework
13/12/10 20:12:59 INFO mapred.JobClient: Map input records=3
13/12/10 20:12:59 INFO mapred.JobClient: Physical memory (bytes) snapshot=94224384
13/12/10 20:12:59 INFO mapred.JobClient: Spilled Records=0
13/12/10 20:12:59 INFO mapred.JobClient: CPU time spent (ms)=1110
13/12/10 20:12:59 INFO mapred.JobClient: Total committed heap usage (bytes)=82116608
13/12/10 20:12:59 INFO mapred.JobClient: Virtual memory (bytes) snapshot=395390976
13/12/10 20:12:59 INFO mapred.JobClient: Map output records=3
13/12/10 20:12:59 INFO mapred.JobClient: SPLIT_RAW_BYTES=69
landen@Master:~/UntarFile/hadoop-1.0.4$ bin/hadoop fs -ls /backup/HBaseExport/
Warning: $HADOOP_HOME is deprecated.
Found 3 items
-rw-r--r-- 1 landen supergroup 0 2013-12-10 20:12 /backup/HBaseExport/_SUCCESS
drwxr-xr-x - landen supergroup 0 2013-12-10 20:12 /backup/HBaseExport/_logs
-rw-r--r-- 1 landen supergroup 775 2013-12-10 20:12 /backup/HBaseExport/part-m-00000
landen@Master:~/UntarFile/hadoop-1.0.4$
方法 2:
landen@Master:~/UntarFile/hbase-0.94.12$ bin/hbase org.apache.hadoop.hbase.mapreduce.CopyTable
Usage: CopyTable [general options] [--starttime=X] [--endtime=Y] [--new.name=NEW] [--peer.adr=ADR] <tablename> Options:
rs.class hbase.regionserver.class of the peer cluster
specify if different from current cluster
rs.impl hbase.regionserver.impl of the peer cluster
startrow the start row
stoprow the stop row
starttime beginning of the time range (unixtime in millis)
without endtime means from starttime to forever
endtime end of the time range. Ignored if no starttime specified.
versions number of cell versions to copy
new.name new table's name
peer.adr Address of the peer cluster given in the format
hbase.zookeeer.quorum:hbase.zookeeper.client.port:zookeeper.znode.parent
families comma-separated list of families to copy
To copy from cf1 to cf2, give sourceCfName:destCfName.
To keep the same name, just give "cfName"
all.cells also copy delete markers and deleted cells Args:
tablename Name of the table to copy Examples:
To copy 'TestTable' to a cluster that uses replication for a 1 hour window:
$ bin/hbase org.apache.hadoop.hbase.mapreduce.CopyTable --starttime=1265875194289 --endtime=1265878794289
--peer.adr=server1,server2,server3:2181:/hbase(指定另一个所在集群位置) --families=myOldCf:myNewCf,cf2,cf3 TestTable
For performance consider the following general options:
-Dhbase.client.scanner.caching=100
-Dmapred.map.tasks.speculative.execution=false
CopyTable is a utility to copy the data of one table to another table, either on the samecluster, or on a different HBase cluster. You can copy to a table that is on the same cluster; however, if you have another cluster that you want to treat as a backup, you might want to use CopyTable as a live backup option to copy the data of a table to the backup cluster. CopyTable is configurable with a start and an end timestamp. If specified, only the datawith a timestamp in the specific time frame will be copied. This feature makes it possible for incremental backup of an HBase table in some situations.
"Incremental backup" is a method to only back up the data that has been changed during the last backup.
Note: Since the cluster keeps running, there is a risk that edits could be missed during the copy process.
landen@Master:~/UntarFile/hbase-0.94.12$ bin/hbase org.apache.hadoop.hbase.mapreduce.CopyTable --families=IPAddress --new.name=BackUpHiddenIPInfo(复制一个表的数据到另一个表进行备份->最好复制到不同集群) HiddenIPInfo(所需复制的数据对应的表)
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.zookeeper.ZooKeeper, using jar /home/landen/UntarFile/hbase-0.94.12/lib/zookeeper-3.4.5.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class com.google.protobuf.Message, using jar /home/landen/UntarFile/hbase-0.94.12/lib/protobuf-java-2.4.0a.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class com.google.common.collect.ImmutableSet, using jar /home/landen/UntarFile/hbase-0.94.12/lib/guava-11.0.2.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.hbase.util.Bytes, using jar /home/landen/UntarFile/hbase-0.94.12/hbase-0.94.12.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.io.LongWritable, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.io.Text, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.hbase.mapreduce.TableInputFormat, using jar /home/landen/UntarFile/hbase-0.94.12/hbase-0.94.12.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.io.LongWritable, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.io.Text, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.mapreduce.lib.output.TextOutputFormat, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.mapreduce.lib.partition.HashPartitioner, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.zookeeper.ZooKeeper, using jar /home/landen/UntarFile/hbase-0.94.12/lib/zookeeper-3.4.5.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class com.google.protobuf.Message, using jar /home/landen/UntarFile/hbase-0.94.12/lib/protobuf-java-2.4.0a.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class com.google.common.collect.ImmutableSet, using jar /home/landen/UntarFile/hbase-0.94.12/lib/guava-11.0.2.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.hbase.util.Bytes, using jar /home/landen/UntarFile/hbase-0.94.12/hbase-0.94.12.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.hbase.io.ImmutableBytesWritable, using jar /home/landen/UntarFile/hbase-0.94.12/hbase-0.94.12.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.io.Writable, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.hbase.mapreduce.TableInputFormat, using jar /home/landen/UntarFile/hbase-0.94.12/hbase-0.94.12.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.hbase.io.ImmutableBytesWritable, using jar /home/landen/UntarFile/hbase-0.94.12/hbase-0.94.12.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.io.Writable, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.hbase.mapreduce.TableOutputFormat, using jar /home/landen/UntarFile/hbase-0.94.12/hbase-0.94.12.jar
13/12/10 16:15:59 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.mapreduce.lib.partition.HashPartitioner, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
.................................................
13/12/10 16:16:04 INFO zookeeper.ZooKeeper: Client environment:java.library.path=/home/landen/UntarFile/hadoop-1.0.4/libexec/../lib/native/Linux-i386-32:/home/landen/UntarFile/hbase-0.94.12/lib/native/Linux-i386-32
13/12/10 16:16:04 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/tmp
13/12/10 16:16:04 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA>
13/12/10 16:16:04 INFO zookeeper.ZooKeeper: Client environment:os.name=Linux
13/12/10 16:16:04 INFO zookeeper.ZooKeeper: Client environment:os.arch=i386
13/12/10 16:16:04 INFO zookeeper.ZooKeeper: Client environment:os.version=3.2.0-24-generic-pae
13/12/10 16:16:04 INFO zookeeper.ZooKeeper: Client environment:user.name=landen
13/12/10 16:16:04 INFO zookeeper.ZooKeeper: Client environment:user.home=/home/landen
13/12/10 16:16:04 INFO zookeeper.ZooKeeper: Client environment:user.dir=/home/landen/UntarFile/hbase-0.94.12
13/12/10 16:16:04 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=Slave1:2222,Master:2222,Slave2:2222 sessionTimeout=180000 watcher=hconnection
13/12/10 16:16:04 INFO zookeeper.RecoverableZooKeeper: The identifier of this process is 16010@Master
13/12/10 16:16:04 INFO zookeeper.ClientCnxn: Opening socket connection to server Master/10.21.244.79:2222. Will not attempt to authenticate using SASL (unknown error)
13/12/10 16:16:04 INFO zookeeper.ClientCnxn: Socket connection established to Master/10.21.244.79:2222, initiating session
13/12/10 16:16:04 INFO zookeeper.ClientCnxn: Session establishment complete on server Master/10.21.244.79:2222, sessionid = 0x42db7cbd1f0005, negotiated timeout = 180000
13/12/10 16:16:04 DEBUG client.HConnectionManager$HConnectionImplementation: Looked up root region location, connection=org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation@167a465; serverName=Slave1,60020,1386661855439
13/12/10 16:16:04 DEBUG client.HConnectionManager$HConnectionImplementation: Cached location for .META.,,1.1028785192 is Slave1:60020
13/12/10 16:16:05 DEBUG client.MetaScanner: Scanning .META. starting at row=BackUpHiddenIPInfo,,00000000000000 for max=10 rows using org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation@167a465
13/12/10 16:16:05 DEBUG client.HConnectionManager$HConnectionImplementation: Cached location for BackUpHiddenIPInfo,,1386662946878.48312c3f9b8715670432c413ca44f2f6. is Slave1:60020
13/12/10 16:16:05 INFO mapreduce.TableOutputFormat: Created table instance for BackUpHiddenIPInfo
13/12/10 16:16:05 DEBUG client.MetaScanner: Scanning .META. starting at row=HiddenIPInfo,,00000000000000 for max=10 rows using org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation@167a465
13/12/10 16:16:05 DEBUG client.HConnectionManager$HConnectionImplementation: Cached location for HiddenIPInfo,,1386509509553.9e1062d691dd4c25cdc030f8c3fc9860. is Slave1:60020
13/12/10 16:16:05 DEBUG client.MetaScanner: Scanning .META. starting at row=HiddenIPInfo,,00000000000000 for max=2147483647 rows using org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation@167a465
13/12/10 16:16:05 ERROR mapreduce.TableInputFormatBase: Cannot resolve the host name for /10.21.244.124 because of javax.naming.NameNotFoundException: DNS name not found [response code 3]; remaining name '124.244.21.10.in-addr.arpa'
13/12/10 16:16:05 DEBUG mapreduce.TableInputFormatBase: getSplits: split -> 0 -> slave1:,
13/12/10 16:16:07 INFO mapred.JobClient: Running job: job_201312042044_0030
13/12/10 16:16:08 INFO mapred.JobClient: map 0% reduce 0%
13/12/10 16:16:27 INFO mapred.JobClient: map 100% reduce 0%
13/12/10 16:16:32 INFO mapred.JobClient: Job complete: job_201312042044_0030
13/12/10 16:16:32 INFO mapred.JobClient: Counters: 28
13/12/10 16:16:32 INFO mapred.JobClient: Job Counters
13/12/10 16:16:32 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=12305
13/12/10 16:16:32 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0
13/12/10 16:16:32 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0
13/12/10 16:16:32 INFO mapred.JobClient: Rack-local map tasks=1
13/12/10 16:16:32 INFO mapred.JobClient: Launched map tasks=1
13/12/10 16:16:32 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=0
13/12/10 16:16:32 INFO mapred.JobClient: HBase Counters
13/12/10 16:16:32 INFO mapred.JobClient: REMOTE_RPC_CALLS=0
13/12/10 16:16:32 INFO mapred.JobClient: RPC_CALLS=6
13/12/10 16:16:32 INFO mapred.JobClient: RPC_RETRIES=0
13/12/10 16:16:32 INFO mapred.JobClient: NOT_SERVING_REGION_EXCEPTION=0
13/12/10 16:16:32 INFO mapred.JobClient: NUM_SCANNER_RESTARTS=0
13/12/10 16:16:32 INFO mapred.JobClient: MILLIS_BETWEEN_NEXTS=162
13/12/10 16:16:32 INFO mapred.JobClient: BYTES_IN_RESULTS=1493
13/12/10 16:16:32 INFO mapred.JobClient: BYTES_IN_REMOTE_RESULTS=0
13/12/10 16:16:32 INFO mapred.JobClient: REGIONS_SCANNED=1
13/12/10 16:16:32 INFO mapred.JobClient: REMOTE_RPC_RETRIES=0
13/12/10 16:16:32 INFO mapred.JobClient: File Output Format Counters
13/12/10 16:16:32 INFO mapred.JobClient: Bytes Written=0
13/12/10 16:16:32 INFO mapred.JobClient: FileSystemCounters
13/12/10 16:16:32 INFO mapred.JobClient: HDFS_BYTES_READ=69
13/12/10 16:16:32 INFO mapred.JobClient: FILE_BYTES_WRITTEN=34919
13/12/10 16:16:32 INFO mapred.JobClient: File Input Format Counters
13/12/10 16:16:32 INFO mapred.JobClient: Bytes Read=0
13/12/10 16:16:32 INFO mapred.JobClient: Map-Reduce Framework
13/12/10 16:16:32 INFO mapred.JobClient: Map input records=3
13/12/10 16:16:32 INFO mapred.JobClient: Physical memory (bytes) snapshot=83361792
13/12/10 16:16:32 INFO mapred.JobClient: Spilled Records=0
13/12/10 16:16:32 INFO mapred.JobClient: CPU time spent (ms)=170
13/12/10 16:16:32 INFO mapred.JobClient: Total committed heap usage (bytes)=55443456
13/12/10 16:16:32 INFO mapred.JobClient: Virtual memory (bytes) snapshot=395317248
13/12/10 16:16:32 INFO mapred.JobClient: Map output records=3
13/12/10 16:16:32 INFO mapred.JobClient: SPLIT_RAW_BYTES=69
hbase(main):016:0> describe 'BackUpHiddenIPInfo'
DESCRIPTION ENABLED
'BackUpHiddenIPInfo', {NAME => 'IPAddress', DATA_BLOCK_ENCODING => 'NONE', B true
LOOMFILTER => 'NONE', REPLICATION_SCOPE => '0', COMPRESSION => 'NONE', VERSI
ONS => '3', TTL => '2147483647', MIN_VERSIONS => '0', KEEP_DELETED_CELLS =>
'false', BLOCKSIZE => '65536', ENCODE_ON_DISK => 'true', IN_MEMORY => 'false
', BLOCKCACHE => 'true'}
1 row(s) in 0.0670 seconds
hbase(main):017:0> scan 'BackUpHiddenIPInfo'
ROW COLUMN+CELL
125.111.251.118 column=IPAddress:city, timestamp=1386597147615, value=Ningbo
125.111.251.118 column=IPAddress:countrycode, timestamp=1386597147615, value=CN
125.111.251.118 column=IPAddress:countryname, timestamp=1386597147615, value=China
125.111.251.118 column=IPAddress:latitude, timestamp=1386597147615, value=29.878204
125.111.251.118 column=IPAddress:longitude, timestamp=1386597147615, value=121.5495
125.111.251.118 column=IPAddress:region, timestamp=1386597147615, value=02
125.111.251.118 column=IPAddress:regionname, timestamp=1386597147615, value=Zhejiang
125.111.251.118 column=IPAddress:timezone, timestamp=1386597147615, value=Asia/Shanghai
221.12.10.218 column=IPAddress:city, timestamp=1386597147615, value=Hangzhou
221.12.10.218 column=IPAddress:countrycode, timestamp=1386597147615, value=CN
221.12.10.218 column=IPAddress:countryname, timestamp=1386597147615, value=China
221.12.10.218 column=IPAddress:latitude, timestamp=1386597147615, value=30.293594
221.12.10.218 column=IPAddress:longitude, timestamp=1386597147615, value=120.16141
221.12.10.218 column=IPAddress:region, timestamp=1386597147615, value=02
221.12.10.218 column=IPAddress:regionname, timestamp=1386597147615, value=Zhejiang
221.12.10.218 column=IPAddress:timezone, timestamp=1386597147615, value=Asia/Shanghai
60.180.248.201 column=IPAddress:city, timestamp=1386597147615, value=Wenzhou
60.180.248.201 column=IPAddress:countrycode, timestamp=1386597147615, value=CN
60.180.248.201 column=IPAddress:countryname, timestamp=1386597147615, value=China
60.180.248.201 column=IPAddress:latitude, timestamp=1386597147615, value=27.999405
60.180.248.201 column=IPAddress:longitude, timestamp=1386597147615, value=120.66681
60.180.248.201 column=IPAddress:region, timestamp=1386597147615, value=02
60.180.248.201 column=IPAddress:regionname, timestamp=1386597147615, value=Zhejiang
60.180.248.201 column=IPAddress:timezone, timestamp=1386597147615, value=Asia/Shanghai
3 row(s) in 0.0600 seconds
方法 3:
landen@Master:~/UntarFile/hadoop-1.0.4$ bin/hadoop distcp
Warning: $HADOOP_HOME is deprecated. distcp [OPTIONS] <srcurl>* <desturl> OPTIONS:
-p[rbugp] Preserve status
r: replication number
b: block size
u: user
g: group
p: permission
-p alone is equivalent to -prbugp
-i Ignore failures
-log <logdir> Write logs to <logdir>
-m <num_maps> Maximum number of simultaneous copies
-overwrite Overwrite destination
-update Overwrite if src size different from dst size
-skipcrccheck Do not use CRC check to determine if src is
different from dest. Relevant only if -update
is specified
-f <urilist_uri> Use list at <urilist_uri> as src list
-filelimit <n> Limit the total number of files to be <= n
-sizelimit <n> Limit the total size to be <= n bytes
-delete Delete the files existing in the dst but not in src
-mapredSslConf <f> Filename of SSL configuration for mapper task NOTE 1: if -overwrite or -update are set, each source URI is
interpreted as an isomorphic update to an existing directory.
For example:
hadoop distcp -p -update "hdfs://A:8020/user/foo/bar" "hdfs://B:8020/user/foo/baz" would update all descendants of 'baz' also in 'bar'; it would
*not* update /user/foo/baz/bar NOTE 2: The parameter <n> in -filelimit and -sizelimit can be
specified with symbolic representation. For examples,
1230k = 1230 * 1024 = 1259520
891g = 891 * 1024^3 = 956703965184 Generic options supported are
-conf <configuration file> specify an application configuration file
-D <property=value> use value for given property
-fs <local|namenode:port> specify a namenode
-jt <local|jobtracker:port> specify a job tracker
-files <comma separated list of files> specify comma separated files to be copied to the map reduce cluster
-libjars <comma separated list of jars> specify comma separated jar files to include in the classpath.
-archives <comma separated list of archives> specify comma separated archives to be unarchived on the compute machines. The general command line syntax is
bin/hadoop command [genericOptions] [commandOptions]
distcp (distributed copy) is a tool provided by Hadoop for copying a large dataset on the same, or different HDFS cluster. It uses MapReduce to copy files in parallel, handle error and recovery, and report the job status. As HBase stores all its files, including system files on HDFS, we can simply use distcp to copy the HBase directory to either another directory on the same HDFS, or to a different HDFS, for backing up the source HBase cluster
landen@Master:~/UntarFile/hadoop-1.0.4$ bin/hadoop distcp /hbase /backup/HBaseBackUp
Warning: $HADOOP_HOME is deprecated.
13/12/10 15:33:09 INFO tools.DistCp: srcPaths=[/hbase]
13/12/10 15:33:09 INFO tools.DistCp: destPath=/backup/HBaseBackUp
13/12/10 15:33:10 INFO tools.DistCp: sourcePathsCount=46
13/12/10 15:33:10 INFO tools.DistCp: filesToCopyCount=17
13/12/10 15:33:10 INFO tools.DistCp: bytesToCopyCount=11.7k
13/12/10 15:33:11 INFO mapred.JobClient: Running job: job_201312042044_0029
13/12/10 15:33:12 INFO mapred.JobClient: map 0% reduce 0%
13/12/10 15:33:37 INFO mapred.JobClient: map 100% reduce 0%
13/12/10 15:33:42 INFO mapred.JobClient: Job complete: job_201312042044_0029
13/12/10 15:33:42 INFO mapred.JobClient: Counters: 22
13/12/10 15:33:42 INFO mapred.JobClient: Job Counters
13/12/10 15:33:42 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=20465
13/12/10 15:33:42 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0
13/12/10 15:33:42 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0
13/12/10 15:33:42 INFO mapred.JobClient: Launched map tasks=1
13/12/10 15:33:42 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=0
13/12/10 15:33:42 INFO mapred.JobClient: File Input Format Counters
13/12/10 15:33:42 INFO mapred.JobClient: Bytes Read=7904
13/12/10 15:33:42 INFO mapred.JobClient: File Output Format Counters
13/12/10 15:33:42 INFO mapred.JobClient: Bytes Written=0
13/12/10 15:33:42 INFO mapred.JobClient: FileSystemCounters
13/12/10 15:33:42 INFO mapred.JobClient: HDFS_BYTES_READ=20070
13/12/10 15:33:42 INFO mapred.JobClient: FILE_BYTES_WRITTEN=22644
13/12/10 15:33:42 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=11988
13/12/10 15:33:42 INFO mapred.JobClient: distcp
13/12/10 15:33:42 INFO mapred.JobClient: Files copied=17
13/12/10 15:33:42 INFO mapred.JobClient: Bytes copied=11988
13/12/10 15:33:42 INFO mapred.JobClient: Bytes expected=11988
13/12/10 15:33:42 INFO mapred.JobClient: Map-Reduce Framework
13/12/10 15:33:42 INFO mapred.JobClient: Map input records=45
13/12/10 15:33:42 INFO mapred.JobClient: Physical memory (bytes) snapshot=36737024
13/12/10 15:33:42 INFO mapred.JobClient: Spilled Records=0
13/12/10 15:33:42 INFO mapred.JobClient: CPU time spent (ms)=470
13/12/10 15:33:42 INFO mapred.JobClient: Total committed heap usage (bytes)=15925248
13/12/10 15:33:42 INFO mapred.JobClient: Virtual memory (bytes) snapshot=346537984
13/12/10 15:33:42 INFO mapred.JobClient: Map input bytes=7804
13/12/10 15:33:42 INFO mapred.JobClient: Map output records=0
13/12/10 15:33:42 INFO mapred.JobClient: SPLIT_RAW_BYTES=178
Backing Up and Restoring HBase Data的更多相关文章
- Restore HBase Data
方法 1: Restoring HBase data by importing dump files from HDFS The HBase Import utility is used to loa ...
- using python read/write HBase data
A. operations on Server side 1. ensure hadoop and hbase are working properly 2. install thrift: apt ...
- HBase 数据模型(Data Model)
HBase Data Model--HBase 数据模型(翻译) 在HBase中,数据是存储在有行有列的表格中.这是与关系型数据库重复的术语,并不是有用的类比.相反,HBase可以被认为是一个多维度的 ...
- HBase学习笔记-高级(一)
HBase1. hbase.id记录了集群的唯一标识:hbase.version记录了文件格式的版本号2. split和.corrupt目录在日志分裂过程中使用,以便保存一些中间结果和损坏的日志在表目 ...
- How Google Backs Up The Internet Along With Exabytes Of Other Data
出处:http://highscalability.com/blog/2014/2/3/how-google-backs-up-the-internet-along-with-exabytes-of- ...
- hbase集群安装与部署
1.相关环境 centos7 hadoop2.6.5 zookeeper3.4.9 jdk1.8 hbase1.2.4 本篇文章仅涉及hbase集群的搭建,关于hadoop与zookeeper的相关部 ...
- 【HBase】HBase Getting Started(HBase 入门指南)
入门指南 1. 简介 Quickstart 会让你启动和运行一个单节点单机HBase. 2. 快速启动 – 单点HBase 这部分描述单节点单机HBase的配置.一个单例拥有所有的HBase守护线程- ...
- HBASE基础知识
HBASE的集群的搭建HBASE的表设计HBASE的底层存储模型 HBase 是一个高可靠.高性能.面向列.可伸缩的分布式缓存系统.利用HBase 技术可在廉价PC Server上搭建起大规模结构化存 ...
- hbase数据迁移-HDFS拷贝
1.把数据表test从hbase下拷出 hdfs dfs -get /hbase/data/default/test /home/hadoop/hbase/test 2.文件放到新集群的系统上 scp ...
随机推荐
- (连通图 模板题 出度和入度)Network of Schools--POJ--1236
链接: http://poj.org/problem?id=1236 http://acm.hust.edu.cn/vjudge/contest/view.action?cid=82833#probl ...
- 一次简单完整的自动化登录测试-基于python+selenium进行cnblog的自动化登录测试
Web登录测试是很常见的测试,手动测试大家再熟悉不过了,那如何进行自动化登录测试呢!本文就基于python+selenium结合unittest单元测试框架来进行一次简单但比较完整的cnblog自动化 ...
- 转: JaxbContext生成xml文件或java类对象转化注解
JAXB(Java API for XML Binding),提供了一个快速便捷的方式将Java对象与XML进行转换.在JAX-WS(Java的WebService规范之一)中,JDK1.6 自带的版 ...
- [mysql] mysql如何实现更新一条记录中某个字段值的一部分呢?
场景:在平常我们使用word文档等等office办公软件时,我们常会使用搜索->替换的功能. mysql: 在mysql 中有时候,我们也需要这样子的实现: 实现 SQL 语句: update ...
- [Linux-vi] The simple set of vi command
Source : https://www.cs.colostate.edu/helpdocs/vi.html What is vi? The default editor that comes wit ...
- queued frame 造成图形性能卡顿
曾经遇到过卡顿是类似的原因:当时对显卡底层知识理解不懂,看到引擎底层有一个MaxFramexxx的接口,实现是使用注册表修改显卡底层的注册信息,当时还是一个掉接口习惯的客户端码农的思维,没理解底层含义 ...
- Python学习-38.Python中的正则表达式(二)
在Python中,正则表达式还有较其他编程语言有特色的地方.那就是支持松散正则表达式了. 在某些情况,正则表达式会写得十分的长,这时候,维护就成问题了.而松散正则表达式就是解决这一问题的办法. 用上一 ...
- 唯品会osp简介(转)
转自 https://blog.csdn.net/panyongcsd/article/details/58617810 公司(VIP)从2015年开始在内部推动Venus框架的使用,这是一款基于Ap ...
- 设计模式之组合模式(Composite Pattern)
一.什么是组合模式? 组合模式提供了一种层级结构,并允许我们忽略对象与对象集合之间的差别 调用者并不知道手里的东西是一个对象还是一组对象,不过没关系,在组合模式中,调用者本来就不需要知道这些 二.举个 ...
- C# 使用log4net写日记
一 导入LOG4NET 打开VS2012 工具>>库程序包管理器>>管理解决方案的NuGet程序包,搜索LOG4NET,如下图 二 添加配置文件log4net.config 在 ...