使用flume将数据sink到HBase

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===========>先创建Hbase表和列族<================
案例1：源数据一行对应Hbase的一列存储(hbase-1.12没有问题)
================================================================================
#说明：案例是flume监听目录/home/hadoop/flume_hbase采集到hbase；必须先在Hbase中创建表和列族

数据目录：
vi /home/hadoop/flume_hbase/word.txt
1001 pan nan
2200 lili nv

create ‘tb_words‘,‘cf_wd‘

vi flume-hbase.conf
#Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

#Describe/configure the source
a1.sources.r1.type = spooldir //当监控文件夹时，不用执行文件，只需在文件夹下有操作，就可监听到信息
a1.sources.r1.spoolDir=/home/hadoop/flume_hbase

# Describe the sink
a1.sinks.k1.type =asynchbase
a1.sinks.k1.table = tb_words
a1.sinks.k1.columnFamily = cf_wd
#目前自己处理到支持一个列名的，多个列名称失败了，多个列名考虑使用下面的案例的正则表达式方式匹配
a1.sinks.k1.serializer.payloadColumn=wd
a1.sinks.k1.serializer.incrementColumn=last
a1.sinks.k1.serializer.rowPrefix=QM
a1.sinks.k1.serializer.suffix=timestamp
a1.sinks.k1.serializer =org.apache.flume.sink.hbase.SimpleAsyncHbaseEventSerializer

# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

案例2：使用正则表达式，对行分多个列值
说明：apache-flume-1.7.0-bin.tar.gz 和 Hbase-1.12+
================================================================================
create ‘tb_words2‘,‘words‘

数据目录：
vi /home/hadoop/flume_hbase/data.txt
1001,panzong,nan
2200,lili,nv

flume配置文件：
vi flume_2_hbase.conf
#Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

#Describe/configure the source
a1.sources.r1.type = cn.qm.flume.source.MySource //可更换为spooldir
a1.sources.r1.spoolDir=/home/hadoop/flume_hbase

# Describe the sink
#a1.sinks.k1.type =org.apache.flume.sink.hbase.HBaseSink
a1.sinks.k1.type =hbase
a1.sinks.k1.table = tb_words2
a1.sinks.k1.columnFamily = words
a1.sinks.k1.serializer.enableWal= true
a1.sinks.k1.serializer = org.apache.flume.sink.hbase.RegexHbaseEventSerializer
#查看RegexHbaseEventSerializer类源码，可以快速理解rowKeyIndex/colNames属性
a1.sinks.k1.serializer.regex= ^([0-9]+),([a-z]+),([a-z]+)$
# 指定某一列来当主键，而不是用随机生成的key,#第一列为Hbase的rowkey
#RegexHbaseEventSerializer 源码查看
a1.sinks.k1.serializer.rowKeyIndex =0
#ROW_KEY为系统指定列名
a1.sinks.k1.serializer.colNames= ROW_KEY,name,sex
a1.sinks.k1.zookeeperQuorum =hdp-qm-05:2181,hdp-qm-06:2181,hdp-qm-07:2181

# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

#第二列为Hbase的rowkey
#a1.sinks.k1.serializer.rowKeyIndex = 1
#a1.sinks.k1.serializer.regex= ^([0-9]+),([a-z]+),([a-z]+)$
#a1.sinks.k1.serializer.colNames= id,ROW_KEY,sex

使用flume将数据sink到HBase

标签：action   figure   监听   Flume配置文件   目录   word   simple   rds   his   

原文地址：https://www.cnblogs.com/pingzizhuanshu/p/9102494.html