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Re: Error in Upload the log file into hdfsAlexander Alten-Lorenz 2012-11-29, 15:39
Hi,
agent.channels.memoryChannel.transactionCapacity=1000 Is wrong. You cant have equal or more transaction capacity in a channel as configured capacity. Use the opposite, when you want to use it. from our Guide: capacity NUM The max number of events stored in the channel transactionCapacity NUM The max number of events stored in the channel per transaction Try this: agent.channels.memoryChannel.capacity = 1000 agent.channels.memoryChannel.transactionCapacity=10 cheers - Alex On Nov 29, 2012, at 1:03 PM, kashif khan <[EMAIL PROTECTED]> wrote: > Hi, > > I am just struggling to learn the flume and doing some testing. I am > running two agents (agent, agent1). The agent used to upload the log data > into hdfs and agent1 used as logger. The configuration of two agents as: > > agent.sources = tail > agent.channels = memoryChannel > agent.sinks = hdfs-clusterSink > > agent.sources.tail.type = exec > agent.sources.tail.command = tail -f /var/log/flume-ng/flume.log > agent.sources.tail.channels = memoryChannel > > agent.sinks.hdfs-clusterSink. > channel = memoryChannel > agent.sinks.hdfs-clusterSink.type = hdfs > agent.sinks.hdfs-clusterSink.hdfs.path = hdfs:// > hadoop1.example.com/user/root/Test/ > > > agent.channels.memoryChannel.type = memory > agent.channels.memoryChannel.transactionCapacity=1000 > agent.channels.memoryChannel.capacity = 100 > > > > > agent1.sources = source1 > agent1.sinks = sink1 > agent1.channels = channel1 > > # Describe/configure source1 > agent1.sources.source1.type = netcat > agent1.sources.source1.bind = localhost > agent1.sources.source1.port = 44444 > > # Describe sink1 > agent1.sinks.sink1.type = logger > > # Use a channel which buffers events in memory > agent1.channels.channel1.type = memory > agent1.channels.channel1.capacity = 1000 > agent1.channels.channel1.transactionCapactiy = 100 > > # Bind the source and sink to the channel > agent1.sources.source1.channels = channel1 > agent1.sinks.sink1.channel = channel1 > > > I dont know why it does not upload the log file into hdfs. where I am doing > mistake . If anyone who have solution please let me know. > > > The log file as: > > > 29 Nov 2012 11:49:13,046 INFO [main] > (org.apache.flume.lifecycle.LifecycleSupervisor.start:67) - Starting > lifecycle supervisor 1 > 29 Nov 2012 11:49:13,050 INFO [main] > (org.apache.flume.node.FlumeNode.start:54) - Flume node starting - agent > 29 Nov 2012 11:49:13,051 INFO [lifecycleSupervisor-1-0] > (org.apache.flume.node.nodemanager.DefaultLogicalNodeManager.start:203) - > Node manager starting > 29 Nov 2012 11:49:13,053 INFO [lifecycleSupervisor-1-0] > (org.apache.flume.lifecycle.LifecycleSupervisor.start:67) - Starting > lifecycle supervisor 10 > 29 Nov 2012 11:49:13,052 INFO [lifecycleSupervisor-1-2] > (org.apache.flume.conf.file.AbstractFileConfigurationProvider.start:67) - > Configuration provider starting > 29 Nov 2012 11:49:13,054 INFO [conf-file-poller-0] > (org.apache.flume.conf.file.AbstractFileConfigurationProvider$FileWatcherRunnable.run:195) > - Reloading configuration file:/etc/flume-ng/conf/flume.conf > 29 Nov 2012 11:49:13,057 INFO [conf-file-poller-0] > (org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.addProperty:912) > - Added sinks: hdfs-clusterSink Agent: agent > 29 Nov 2012 11:49:13,057 INFO [conf-file-poller-0] > (org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.addProperty:998) > - Processing:hdfs-clusterSink > 29 Nov 2012 11:49:13,057 INFO [conf-file-poller-0] > (org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.addProperty:998) > - Processing:sink1 > 29 Nov 2012 11:49:13,057 INFO [conf-file-poller-0] > (org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.addProperty:998) > - Processing:hdfs-clusterSink > 29 Nov 2012 11:49:13,057 INFO [conf-file-poller-0] > (org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.addProperty:998) > - Processing:sink1 > 29 Nov 2012 11:49:13,058 INFO [conf-file-poller-0] Alexander Alten-Lorenz http://mapredit.blogspot.com German Hadoop LinkedIn Group: http://goo.gl/N8pCF |