导出

    1. hbase org.apache.hadoop.hbase.mapreduce.Export emp file:///Users/a6/Applications/experiment_data/hbase_data/bak
    3. bin/hbase org.apache.hadoop.hbase.mapreduce.Export testtable /user/dw_hbkal/przhang/hbaseexport/testdata //testtable表数据导出到一个hdfs路径,可以设置导出的版本数量、起始时间

    导入

    1. hbase org.apache.hadoop.hbase.mapreduce.Driver import emp_bak file:///Users/a6/Applications/experiment_data/hbase_data/bak/*
    3. hbase org.apache.hadoop.hbase.mapreduce.Import testtable /user/dw_hbkal/przhang/hbaseexport/testdata // hdfs数据导入testtable，导入之前test要先创建
    1. [root@s2 back]# hbase org.apache.hadoop.hbase.mapreduce.Export --help
    2. ERROR: Wrong number of arguments: 1
    3. Usage: Export [-D <property=value>]* <tablename> <outputdir> [<versions> [<starttime> [<endtime>]] [^[regex pattern] or [Prefix] to filter]]
    5.   Note: -D properties will be applied to the conf used. 
    6.   For example: 
    7.    -D mapreduce.output.fileoutputformat.compress=true
    8.    -D mapreduce.output.fileoutputformat.compress.codec=org.apache.hadoop.io.compress.GzipCodec
    9.    -D mapreduce.output.fileoutputformat.compress.type=BLOCK
    10.   Additionally, the following SCAN properties can be specified
    11.   to control/limit what is exported..
    12.    -D hbase.mapreduce.scan.column.family=<familyName>
    13.    -D hbase.mapreduce.include.deleted.rows=true
    14.    -D hbase.mapreduce.scan.row.start=<ROWSTART>
    15.    -D hbase.mapreduce.scan.row.stop=<ROWSTOP>
    16. For performance consider the following properties:
    17.    -Dhbase.client.scanner.caching=100
    18.    -Dmapreduce.map.speculative=false
    19.    -Dmapreduce.reduce.speculative=false
    20. For tables with very wide rows consider setting the batch size as below:
    21.    -Dhbase.export.scanner.batch=10
    24. [root@s2 back]# 
    27. hbase org.apache.hadoop.hbase.mapreduce.Export QX_LPD file:///root/back  -D hbase.mapreduce.scan.row.start=201906190902140197180 -D hbase.mapreduce.scan.row.stop=201906190908223467001