Flume 读取JMS 消息队列消息，并将消息写入HDFS

标签：jms   hdfs   flume source sink   

利用Apache Flume 读取JMS 消息队列消息，并将消息写入HDFS，flume agent配置如下：

flume-agent.conf

  #name the  components on this agent
  agentHdfs.sources  = jms_source
  agentHdfs.sinks =  hdfs_sink
  agentHdfs.channels  = mem_channel

  #  Describe/configure the source

 agentHdfs.sources.jms_source.type  = jms
# Bind to all interfaces
agentHdfs.sources.jms_source.initialContextFactory = org.apache.activemq.jndi.ActiveMQInitialContextFactory
agentHdfs.sources.jms_source.connectionFactory = ConnectionFactory
agentHdfs.sources.jms_source.destinationName = BUSINESS_DATA  #AMQ queue
agentHdfs.sources.jms_source.providerURL = tcp://hadoop-master:61616
agentHdfs.sources.jms_source.destinationType = QUEUE


# Describe  the sink
agentHdfs.sinks.hdfs_sink.type = hdfs
agentHdfs.sinks.hdfs_sink.hdfs.path hdfs://hadoop-master/data/flume/%Y-%m-%d/%H
agentHdfs.sinks.hdfs_sink.hdfs.filePrefix = %{hostname}/events-
agentHdfs.sinks.hdfs_sink.hdfs.maxOpenFiles = 5000
agentHdfs.sinks.hdfs_sink.hdfs.batchSize= 500
agentHdfs.sinks.hdfs_sink.hdfs.fileType = DataStream
agentHdfs.sinks.hdfs_sink.hdfs.writeFormat =Text
agentHdfs.sinks.hdfs_sink.hdfs.rollSize = 0
agentHdfs.sinks.hdfs_sink.hdfs.rollCount = 1000000
agentHdfs.sinks.hdfs_sink.hdfs.rollInterval = 600
agentHdfs.sinks.hdfs_sink.hdfs.useLocalTimeStamp = true


# Use a  channel which buffers events in memory

agentHdfs.channels.mem_channel.type  = memory
agentHdfs.channels.mem_channel.capacity  = 1000
agentHdfs.channels.mem_channel.transactionCapacity  = 100

# Bind the  source and sink to the channel
agentHdfs.sources.jms_source.channels  = mem_channel
agentHdfs.sinks.hdfs_sink.channel  = mem_channel

Flume 读取JMS 消息队列消息，并将消息写入HDFS

标签：jms   hdfs   flume source sink   

原文地址：http://blog.csdn.net/zhifeiyu2008/article/details/47747427