方法 1: Restoring HBase data by importing dump files from HDFS

The HBase Import utility is used to load data that has been exported by the Export utility into an existing HBase table. It is the process to restore data from the Export utility backup solution.
Note :

1. 导入的元数据及数据必须与之前导出的表一一对应（相同的表和相同的列簇）

2. We create the target table what it exports. The table must have all the column families that exist in the dump files; without that, the import job will fail with a NoSuchColumnFamilyException error message.

landen@Master:~/UntarFile/hbase-0.94.12$ bin/hbase org.apache.hadoop.hbase.mapreduce.Import backupIPInfo /backup/HBaseExport
13/12/11 16:08:04 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.zookeeper.ZooKeeper, using jar /home/landen/UntarFile/hbase-0.94.12/lib/zookeeper-3.4.5.jar
13/12/11 16:08:04 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
13/12/11 16:08:04 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
13/12/11 16:08:04 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
13/12/11 16:08:04 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
13/12/11 16:08:04 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
13/12/11 16:08:04 DEBUG mapreduce.TableMapReduceUtil: For class org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat, using jar /home/landen/UntarFile/hbase-0.94.12/lib/hadoop-core-1.0.4.jar
13/12/11 16:08:04 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
13/12/11 16:08:04 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
13/12/11 16:08:04 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
13/12/11 16:08:04 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
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.4.5-1392090, built on 09/30/2012 17:52 GMT
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:host.name=Master
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:java.version=1.7.0_17
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:java.home=/home/landen/UntarFile/jdk1.7.0_17/jre
...............................................................
13/12/11 16:08:07 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
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/tmp
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA>
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:os.name=Linux
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:os.arch=i386
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:os.version=3.2.0-24-generic-pae
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:user.name=landen
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:user.home=/home/landen
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Client environment:user.dir=/home/landen/UntarFile/hbase-0.94.12
13/12/11 16:08:07 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=Slave1:2222,Master:2222,Slave2:2222 sessionTimeout=180000 watcher=hconnection
13/12/11 16:08:07 INFO zookeeper.ClientCnxn: Opening socket connection to server Master/10.21.244.79:2222. Will not attempt to authenticate using SASL (unknown error)
13/12/11 16:08:07 INFO zookeeper.ClientCnxn: Socket connection established to Master/10.21.244.79:2222, initiating session
13/12/11 16:08:07 INFO zookeeper.RecoverableZooKeeper: The identifier of this process is 13249@Master
13/12/11 16:08:07 INFO zookeeper.ClientCnxn: Session establishment complete on server Master/10.21.244.79:2222, sessionid = 0x42e05be8c8000c, negotiated timeout = 180000
13/12/11 16:08:07 DEBUG client.HConnectionManager$HConnectionImplementation: Looked up root region location, connection=org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation@1ec068c; serverName=Slave1,60020,1386743579352
13/12/11 16:08:07 DEBUG client.HConnectionManager$HConnectionImplementation: Cached location for .META.,,1.1028785192 is Slave1:60020
13/12/11 16:08:08 DEBUG client.MetaScanner: Scanning .META. starting at row=backupIPInfo,,00000000000000 for max=10 rows using org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation@1ec068c
13/12/11 16:08:08 DEBUG client.HConnectionManager$HConnectionImplementation: Cached location for backupIPInfo,,1386747966286.a32b9be7a7aaa44b2c35e1d42116c6ee. is Slave2:60020
13/12/11 16:08:08 INFO mapreduce.TableOutputFormat: Created table instance for backupIPInfo
13/12/11 16:08:08 INFO input.FileInputFormat: Total input paths to process : 1
13/12/11 16:08:08 INFO mapred.JobClient: Running job: job_201312111429_0006
13/12/11 16:08:09 INFO mapred.JobClient:  map 0% reduce 0%
13/12/11 16:08:25 INFO mapred.JobClient:  map 100% reduce 0%
13/12/11 16:08:30 INFO mapred.JobClient: Job complete: job_201312111429_0006
13/12/11 16:08:30 INFO mapred.JobClient: Counters: 18
13/12/11 16:08:30 INFO mapred.JobClient:   Job Counters
13/12/11 16:08:30 INFO mapred.JobClient:     SLOTS_MILLIS_MAPS=12039
13/12/11 16:08:30 INFO mapred.JobClient:     Total time spent by all reduces waiting after reserving slots (ms)=0
13/12/11 16:08:30 INFO mapred.JobClient:     Total time spent by all maps waiting after reserving slots (ms)=0
13/12/11 16:08:30 INFO mapred.JobClient:     Launched map tasks=1
13/12/11 16:08:30 INFO mapred.JobClient:     Data-local map tasks=1
13/12/11 16:08:30 INFO mapred.JobClient:     SLOTS_MILLIS_REDUCES=0
13/12/11 16:08:30 INFO mapred.JobClient:   File Output Format Counters
13/12/11 16:08:30 INFO mapred.JobClient:     Bytes Written=0
13/12/11 16:08:30 INFO mapred.JobClient:   FileSystemCounters
13/12/11 16:08:30 INFO mapred.JobClient:     HDFS_BYTES_READ=886
13/12/11 16:08:30 INFO mapred.JobClient:     FILE_BYTES_WRITTEN=34871
13/12/11 16:08:30 INFO mapred.JobClient:   File Input Format Counters
13/12/11 16:08:30 INFO mapred.JobClient:     Bytes Read=771
13/12/11 16:08:30 INFO mapred.JobClient:   Map-Reduce Framework
13/12/11 16:08:30 INFO mapred.JobClient:     Map input records=3
13/12/11 16:08:30 INFO mapred.JobClient:     Physical memory (bytes) snapshot=82030592
13/12/11 16:08:30 INFO mapred.JobClient:     Spilled Records=0
13/12/11 16:08:30 INFO mapred.JobClient:     CPU time spent (ms)=160
13/12/11 16:08:30 INFO mapred.JobClient:     Total committed heap usage (bytes)=55443456
13/12/11 16:08:30 INFO mapred.JobClient:     Virtual memory (bytes) snapshot=395833344
13/12/11 16:08:30 INFO mapred.JobClient:     Map output records=3
13/12/11 16:08:30 INFO mapred.JobClient:     SPLIT_RAW_BYTES=115

Restore HBase Data的更多相关文章

  1. Backing Up and Restoring HBase Data

    There are two strategies for backing up HBase:1> Backing it up with a full cluster shutdown2> ...

  2. using python read/write HBase data

    A. operations on Server side 1. ensure hadoop and hbase are working properly 2. install thrift:  apt ...

  3. 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 ...

  4. HBase配置项详解

    hbase.tmp.dir:本地文件系统的临时目录,默认是java.io.tmpdir/hbase−java.io.tmpdir/hbase−{user.name}: hbase.rootdir:hb ...

  5. 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 ...

  6. hbase-default.xml（Hbase 默认参数翻译）

    hbase.tmp.dir \({java.io.tmpdir}/hbase-\){user.name} 本地文件系统上的临时目录.将'/tmp'改为其他可以持久保存文件的位置,通常能够解决java. ...

  7. Hbase学习02

    第2章 Apache HBase配置 本章在“入门”一章中进行了扩展,以进一步解释Apache HBase的配置. 请仔细阅读本章,特别是基本先决条件,确保您的HBase测试和部署顺利进行,并防止数据 ...

  8. Hbase记录-Hbase配置项

    hbase.tmp.dir:本地文件系统的临时目录,默认是java.io.tmpdir/hbase−java.io.tmpdir/hbase−{user.name}: hbase.rootdir:hb ...

  9. HBase Snapshot原理和实现

    HBase 从0.95开始引入了Snapshot,可以对table进行Snapshot,也可以Restore到Snapshot.Snapshot可以在线做,也可以离线做.Snapshot的实现不涉及到 ...

随机推荐

  1. linux将程序扔到后台并获取程序的进程号

    我们经常需要写一些执行时间较长的程序,但是如果在程序执行过程中超时了,有许多原因,可能是程序已经挂起了,这时就需要杀死这样的进程,则可以通过如下的命令执行: java -jar TestProcess ...

  2. I2C总线驱动框架详解

    一.I2C子系统总体架构 1.三大组成部分 (1)I2C核心(i2c-core):I2C核心提供了I2C总线驱动(适配器)和设备驱动的注册.注销方法,I2C通信方法(”algorithm”)上层的,与 ...

  3. trsd_extract_EDSD_new

    # -*- coding:utf-8 -*- import re ''' 适应新版本 ''' year='17A'#用户自定义 ss='./data/'#根目录 filename = ss+'EDSD ...

  4. ics

    5.网分用法 时延测试: Format ->Delay Scale Ref -> AUTO SCALE Marker Search -> TRACKING[ON OFF]这样以后把M ...

  5. 在mui中创建aJax来请求数据..并展示在页面上

    <!DOCTYPE html> <html> <head>     <meta charset="UTF-8">     <m ...

  6. IOS11下fixed中input光标错位问题

    项目遇到了这个问题,故作了个临时解决方案,暂时没有想到更好的方法,查阅了网上的方案,也没有找到完美的解决方案. 方案思路: ①弹窗打开时,阻止 body 滚动,禁用 touchmove ,同时记录当前 ...

  7. hdu5883 The Best Path 2016-09-21 21:31 92人阅读 评论(0) 收藏

    The Best Path Time Limit: 9000/3000 MS (Java/Others)    Memory Limit: 65535/32768 K (Java/Others) To ...

  8. DIN-A4 doublesided year calendar

    % DIN-A4 doublesided year calendar % Author: Robert Krause % License : Creative Commons attribution ...

  9. A River Runs Through It

           Our birth is but a sleep and a forgetting:   The Soul that rises with us, our life's Star,    ...

  10. Android-自定义ListView下拉刷新与上拉加载

    效果图: 第一步:编写需要在ListView中增加头加载的布局文件,与底部加载的布局文件: 头布局文件: <?xml version="1.0" encoding=" ...