黑猴子的家：Flume 案例 flume -> spark streaming_黑猴子游戏全面服务-优快云博客

本文介绍Flume与Spark Streaming集成的两种配置案例：推模式与拉模式。通过具体的配置文件展示如何设置Flume源、sink及channel，实现数据从Flume到Spark Streaming的实时传输。

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flume 和 spark streaming 案例不作过多详解，具体细节将在spark streaming 章节细讲，在此只附上Code
Code -> GitHub
https://github.com/liufengji/spark_flume.git

1、flume-push-sparkstreaming.conf

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1
    
# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = hadoop102
a1.sources.r1.port = 44444

# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = 192.168.2.1
a1.sinks.k1.port = 4141

# Use a channel which buffers events in memory
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

2、flume-pull-sparkstreaming.conf

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

a1.sources.r1.type = netcat
a1.sources.r1.bind = hadoop102
a1.sources.r1.port = 44444

a1.sinks.k1.type = org.apache.spark.streaming.flume.sink.SparkSink
a1.sinks.k1.hostname = hadoop102
a1.sinks.k1.port = 4141

a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

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