Shulou(Shulou.com)06/03 Report--

I. Overview

1. The data is collected and stored on the hdfs by building a high-availability flume. The architecture is as follows:

2. Configure Agent

1.cat flume-client.properties

# name the components on this agent declares the names of source, channel and sink a1.sources = R1 a1.sinks = K1 K2 a1.channels = C1 # Describe/configure the source declares that the type of source is to listen on the local port 5140 a1.sources.r1.type = syslogtcp a1.sources.r1.port = 5140 a1.sources.r1.host = localhost a1.sources.r1.channels = C1 # define sinkgroups where the group policy of K1 and K2 is configured Type is load balancing a1.sinkgroups=g1 a1.sinkgroups.g1.sinks=k1 K2 a1.sinkgroups.g1.processor.type=load_balance a1.sinkgroups.g1.processor.backoff=true a1.sinkgroups.g1.processor.selector=round_robin # define the sink 1 data flow Both are sent to two collector machines via avro. A1.sinks.k1.type=avro a1.sinks.k1.hostname=hadoop1 a1.sinks.k1.port=5150 # define the sink 2 a1.sinks.k2.type=avro a1.sinks.k2.hostname=hadoop2a1.sinks.k2.port=5150 # Use a channel which buffers events in memory specifies that the channel type is memory mode 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 a1.sinks.k2.channel=c1

# a2 and a3 have the same configuration as A1

3. Configure Collector

1.cat flume-server.properties

# name the components on this agent declares source, channel, The name of sink collector1.sources = R1 collector1.channels = c1collector1.sinks = K1 # Describe the source declares that the type of source is avrocollector1.sources.r1.type = avro collector1.sources.r1.port = 5150 collector1.sources.r1.bind = 0.0.0.0 collector1.sources.r1.channels = C1 # Describe channels C1 which buffers events in memory specifies that the type of channel is memory mode collector1.channels.c1.type = memory collector1.channels.c1.capacity = 1000 collector1.channels.c1 .transactionCapacity = 100 # Describe the sink K1 to hdfs specifies the sink data flow hdfscollector1.sinks.k1.type = hdfs collector1.sinks.k1.channel = C1 collector1.sinks.k1.hdfs.path = hdfs://master/user/flume/logcollector1.sinks.k1.hdfs.fileType = DataStream collector1.sinks.k1.hdfs.writeFormat = TEXT collector1.sinks.k1.hdfs.rollInterval = 300 collector1.sinks.k1.hdfs.filePrefix =% Y-%m-%d collector1.sinks.k1.hdfs.round = True collector1.sinks.k1.hdfs.roundValue = 5 collector1.sinks.k1.hdfs.roundUnit = minute collector1.sinks.k1.hdfs.useLocalTimeStamp = true

# collector2 configuration is the same as collector1

IV. Start

1. Start fulme-ng on Collector

Flume-ng agent-n collector1-c conf-f / usr/local/flume/conf/flume-server.properties-Dflume.root.logger=INFO,console#-n followed by Agent Name in the configuration file

two。 Start flume-ng on Agent

Flume-ng agent-n A1-c conf-f / usr/local/flume/conf/flume-client.properties-Dflume.root.logger=INFO,console

5. Testing

[root@hadoop5 ~] # echo "hello" | nc localhost 5140 # requires installation of nc17/09/03 22:56:58 INFO source.AvroSource: Avro source R1 started.17/09/03 22:59:09 INFO ipc.NettyServer: [id: 0x60551752, / 192.168.100.15 nc17/09/03 34310 = > / 192.168.100.11 OPEN17/09/03 22:59:09 INFO ipc.NettyServer: [id: 0x60551752 / 192.168.100.15 id 34310 = > / 192.168.100.11 CONNECTED 5150] BOUND: / 192.168.100.11 id 515017 stop 09 22:59:09 INFO ipc.NettyServer: [id: 0x60551752, / 192.168.100.15 id 34310 = > / 192.168.100.11 CONNECTED 5150] CONNECTED: / 192.168.100.1514310170.153101709 23:03:54 INFO hdfs.HDFSDataStream: Serializer = TEXT UseRawLocalFileSystem = false17/09/03 23:03:54 INFO hdfs.BucketWriter: Creating hdfs://master/user/flume/log/2017-09-03.1504494234038.tmp

VI. Summary

There are generally two modes for highly available flume-ng: load_balance and failover. The configuration of load_balance,failover is as follows:

# set failovera1.sinkgroups.g1.processor.type = failovera1.sinkgroups.g1.processor.priority.k1 = 10a1.sinkgroups.g1.processor.priority.k2 = 1a1.sinkgroups.g1.processor.maxpenalty = 10000

Some commonly used source, channel, and sink types are as follows:

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