Flume每个文件批处理十行

时间:2013-10-10 05:12:42

标签: hadoop flume

我想做什么: 我想为每64 MB数据只写一个文件。

什么是水槽: 为每10个事件创建一个新文件

我的配置:

a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44444

# Describe the sink
a1.sinks.k1.type = hdfs
a1.sinks.k1.channel = c1
a1.sinks.k1.hdfs.path = hdfs://lawn-128-61-47-216.lawn.gatech.edu:9000/flume/events/
a1.sinks.k1.hdfs.filePrefix = events-
a1.sinks.k1.hdfs.round = true
a1.sinks.k1.hdfs.roundValue = 10
a1.sinks.k1.hdfs.roundUnit = minute
a1.sinks.k1.hdfs.fileType = DataStream
a1.sinks.k1.hdfs.writeFormat = Text
a1.sinks.k1.hdfs.hdfs.rollInterval = 0
a1.sinks.k1.hdfs.hdfs.rollSize = 67108864
a1.sinks.k1.hdfs.hdfs.rollCount = 0
a1.sinks.k1.hdfs.idleTimeout = 0
a1.sinks.k1.hdfs.batchSize = 1000
a1.sinks.k1.hdfs.serializer = text
a1.sinks.k1.sink.serializer.appendNewline = true




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

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

1 个答案:

答案 0 :(得分:0)

中有重复的“hdfs”标记

    a1.sinks.k1.hdfs.hdfs.rollInterval = 0
    a1.sinks.k1.hdfs.hdfs.rollSize = 67108864
    a1.sinks.k1.hdfs.hdfs.rollCount = 0

如何将这些更改为


    a1.sinks.k1.hdfs.rollInterval = 0
    a1.sinks.k1.hdfs.rollSize = 67108864
    a1.sinks.k1.hdfs.rollCount = 0