大数据——Flume+Kafka+Flume整合模式

创建kafka主题

#启动kafka服务
kafka-server-start.sh /opt/software/kafka280scala212/conf/kraft/server.properites

#创建主题
#topic主题名test01    
#partitions分区数1 
#replication-factor备份数量1
kafka-topics.sh --create --topic test01 --partitions 1 --replication-factor 1 --bootstrap-server 192.168.131.200:9092

#查看主题
kafka-topics.sh --list --bootstrap-server 192.168.131.200:9092

创建flume配置文件（采用KafkaSink作为kafka生产者）

#创建并编辑文件名为flume_kafka01.conf配置文件
vim /root/flume/flume_kafka01.conf

#创建flume 的三大组件sources channels sinks
a1.sources = s1
a1.channels = c1
a1.sinks = k1

#这里选用的是taildir类型的source，支持断点续采
a1.sources.s1.type = taildir

#需要侦听的文件，支持多目录侦听
a1.sources.s1.filegroups = f1
#侦听前缀为prolog的文件
a1.sources.s1.filegroups.f1 = /root/flume_log/prolog*
#断点记录保存文件路径
a1.sources.s1.positionFile = /opt/software/fluem190/data/taildir/tail_prolog_01.json
#设置采集批量
a1.sources.s1.batchSize = 10

a1.channels.c1.type = file
a1.channels.c1.file.checkpointDir = /opt/software/flume190/mydata/checkpoint04
a1.channels.c1.file.capacity = 1000
a1.channels.c1.file.transactionCapacity = 100
#transactionCapacity 默认值为100，且必须大于100
#transactionCapacity >= batchSize

a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
a1.sinks.k1.kafka.bootstrap.servers = 192.168.131.200:9092
a1.sinks.k1.kafka.topic = test01
a1.sinks.k1.kafka.flumeBatchSize = 10
a1.sinks.k1.kafka.producer.linger.ms = 500
a1.sinks.k1.kafka.acks = 1

a1.sources.s1.channels = c1
a1.sinks.k1.channel = c1

创建flume配置文件（采用KafkaSource作为kafka消费者）

vim /root/flume/kafka_flume01.conf

a1.sources = s1
a1.channels = c1
a1.sinks = k1

a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 10
a1.sources.si.batchDurationMillis = 2000
a1.sources.s1.kafka.bootstrap.server = 192.168.131.200:9092
a1.sources.s1.topics = test01
a1.sources.s1.kafka.consumer.groupid = first_test
a1.sources.s1.kafka.consumer.auto.offset.reset = earliest

a1.channels.c1.type = file 
a1.channels.c1.checkpointDir = /opt/software/flume190/mydata/checkpoint05
a1.channels.c1.file.dataDirs = /opt/software/flume190/mydata/data
a1.channels.c1.capaticy = 1000
a1.channels.c1.transactionCapacity = 10

a1.sinks.k1.type = hdfs
a1.sinks.k1.hdfs.path = /kafka_flume/log/%Y-%m-%d
a1.sinks.k1.hdfs.filePrefix = log-
a1.sinks.k1.hdfs.round = true
a1.sinks.k1.hdfs.roundValue = 10
sinks.k1.hdfs.roundUnit = minute

a1.sources.s1.channels = c1
a1.sinks.k1.channel = c1

启动flume消费者

flume-ng agent -n a1 -c conf/ -f /root/flume/kafka_flume01.conf -Dflume.root.logger=INFO,console

启动flume生产者

flume-ng agent -n a1 -c conf/ -f /root/flume/flume_kafka02.conf -Dflume.root.logger=INFO,console

启动控制台kafka消费者

kafka-console-consumer.sh --bootstrap-server test:9092 --from-beginning --topic kb12_01 --property print.key=true --key-deserializer org.apache.kafka.common.serialization.LongDeserializer --value-deserializer org.apache.kafka.common.serialization.StringDeserializer

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