flume avro sink源代码使用cloudera快速启动

m3eecexj 于 2021-06-04 发布在 Hadoop

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是否可以在cloudera quickstart cdh vm中使用avro sink/source设置flume客户端收集器结构？我知道没有实际用途，但我想了解flume如何与avro文件一起工作，以及如何在以后与pig等一起使用它们。。
它尝试了几种配置，但都不起作用。对我来说，似乎我需要几个代理，但只能有一个在虚拟机。
我上次尝试的是：

agent.sources = reader avro-collection-source
    agent.channels = memoryChannel memoryChannel2
    agent.sinks = avro-forward-sink hdfs-sink

  #Client
    agent.sources.reader.type = exec
    agent.sources.reader.command = tail -f /home/flume/avro/source.txt

    agent.sources.reader.logStdErr = true
    agent.sources.reader.restart = true

    agent.sources.reader.channels = memoryChannel

    agent.sinks.avro-forward-sink.type = avro
    agent.sinks.avro-forward-sink.hostname = 127.0.0.1
    agent.sinks.avro-forward-sink.port = 80

    agent.sinks.avro-forward-sink.channel = memoryChannel

    agent.channels.memoryChannel.type = memory

    agent.channels.memoryChannel.capacity = 10000
    agent.channels.memoryChannel.transactionCapacity = 100

 # Collector

    agent.sources.avro-collection-source.type = avro
    agent.sources.avro-collection-source.bind = 127.0.0.1
    agent.sources.avro-collection-source.port = 80

    agent.sources.avro-collection-source.channels = memoryChannel2

    agent.sinks.hdfs-sink.type = hdfs
    agent.sinks.hdfs-sink.hdfs.path = /var/flume/avro

    agent.sinks.hdfs-sink.channel = memoryChannel2

    agent.channels.memoryChannel2.type = memory

    agent.channels.memoryChannel2.capacity = 20000
    agent.channels.memoryChannel2.transactionCapacity = 2000

谢谢你的建议！

hadoop flume avro cloudera-cdh flume-ng

来源：https://stackoverflow.com/questions/25265804/flume-avro-sink-source-using-cloudera-quickstart

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按热度按时间

7kjnsjlb1#

我认为这是可以做到的。在下面给出的示例中，我使用的是一个源（source1），它从假脱机目录源读取并将其转储到avro sink。我有另一个源（source2），它是一个avro源，并链接到source1的avro接收器。这样你就有了你正在寻找的流动。请根据您的使用情况修改此conf文件：


# Sources, channels, and sinks are defined per

# agent name, in this case 'tier1'.

dataplatform.sources  = source1 source2
dataplatform.channels = channel1 channel3 
dataplatform.sinks    = sink1 sink2 sink3

# For each source, channel, and sink, set standard properties.

dataplatform.sources.source1.type         = spooldir
dataplatform.sources.source1.spoolDir     = /home/flume/flume-sink-clean/
dataplatform.sources.source1.deserializer.maxLineLength = 1000000
dataplatform.sources.source1.deletePolicy = immediate
dataplatform.sources.source1.batchSize    = 10000
dataplatform.sources.source1.decodeErrorPolicy = IGNORE

# Channel Type

dataplatform.channels.channel1.type = FILE
dataplatform.channels.channel1.checkpointDir = /home/flume/flume_file_channel/dataplatform/file-channel/checkpoint
dataplatform.channels.channel1.dataDirs = /home/flume/flume_file_channel/dataplatform/file-channel/data
dataplatform.channels.channel1.write-timeout = 60
dataplatform.channels.channel1.use-fast-replay = true
dataplatform.channels.channel1.transactionCapacity = 1000000
dataplatform.channels.channel1.maxFileSize = 2146435071
dataplatform.channels.channel1.capacity = 100000000

# Describe Sink2

dataplatform.sinks.sink2.type = avro
dataplatform.sinks.sink2.hostname = 0.0.0.0
dataplatform.sinks.sink2.port = 20002
dataplatform.sinks.sink2.batch-size = 10000

# Describe source2

dataplatform.sources.source2.type = avro
dataplatform.sources.source2.bind = 0.0.0.0
dataplatform.sources.source2.port = 20002

# Channel3: Source 2 to Channel3 to Local

dataplatform.channels.channel3.type = FILE
dataplatform.channels.channel3.checkpointDir = /home/flume/flume_file_channel/local/file-channel/checkpoint
dataplatform.channels.channel3.dataDirs = /home/flume/flume_file_channel/local/file-channel/data
dataplatform.channels.channel3.transactionCapacity = 1000000
dataplatform.channels.channel3.checkpointInterval = 30000
dataplatform.channels.channel3.maxFileSize = 2146435071
dataplatform.channels.channel3.capacity = 10000000

# Describe Sink3 (Local File System)

dataplatform.sinks.sink3.type = file_roll
dataplatform.sinks.sink3.sink.directory = /home/flume/flume-sink/
dataplatform.sinks.sink3.sink.rollInterval = 60
dataplatform.sinks.sink3.batchSize = 1000

# Bind the source and sink to the channel

dataplatform.sources.source1.channels = channel1
dataplatform.sources.source2.channels = channel3
dataplatform.sinks.sink1.channel = channel1
dataplatform.sinks.sink2.channel = channel2
dataplatform.sinks.sink3.channel = channel3

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flume avro sink源代码使用cloudera快速启动

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