使用kafka作为生产者生产数据_到_hbase

配置文件：

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

## sources config
agent.sources.r1.type = org.apache.flume.source.kafka.KafkaSource
agent.sources.r1.kafka.bootstrap.servers = 192.168.80.128:9092,192.168.80.129:9092,192.168.80.130:9092
agent.sources.r1.kafka.topics =1713
agent.sources.r1.migrateZookeeperOffsets =false
agent.sources.r1.kafka.consumer.timeout.ms = 1000
#agent.sources.r1.kafka.consumer.group.id = consumer-group

## channels config
agent.channels.c1.type = memory
agent.channels.c1.capacity = 1000
agent.channels.c1.transactionCapacity = 100
agent.channels.c1.byteCapacityBufferPercentage = 60
agent.channels.c1.byteCapacity = 1280
agent.channels.c1.keep-alive = 60

# Describe the sink
agent.sinks.k1.type =asynchbase //sink类型到hbase
agent.sinks.k1.table = tb_words3 //表
agent.sinks.k1.columnFamily = words //列族
agent.sinks.k1.serializer.payloadColumn=wd //列名
agent.sinks.k1.serializer =org.apache.flume.sink.hbase.SimpleAsyncHbaseEventSerializer

# Use a channel which buffers events in memory
agent.channels.c1.type = memory
agent.channels.c1.capacity = 1000
agent.channels.c1.transactionCapacity = 100

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