1.数据写入
这里先根据 Flume整合Kafka 这篇文章中所提到的方法来往kafka里面写入数据
创建topic
kafka-topics.sh --create \ --topic f2k \ --zookeeper hadoop01:2181,hadoop02:2181,hadoop03:2181/kafka \ --partitions 3 \ --replication-factor 3
在hadoop01上创建输入文件
touch ~/access.log
然后创建配置文件
vi /home/hadoop/apps/apache-flume-1.8.0-bin/conf/flume2kafka.conf
这里稍微修改一下,将获取数据的方式变为从文件中获取
flume2kafka.conf
## Flume agent's name a1.sources = r1 a1.sinks = k1 a1.channels = c1 # Describe/configure the source a1.sources.r1.type = exec # 要执行的命令 a1.sources.r1.command = tail -F /home/hadoop/access.log # kafka's sink a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink a1.sinks.k1.kafka.bootstrap.servers = hadoop01:9092,hadoop02:9092,hadoop03:9092 a1.sinks.k1.kafka.topic = f2k a1.sinks.k1.kafka.producer.acks = 1 a1.sinks.k1.kafka.producer.linger.ms = 1 # 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.数据抽取
在往kafka中成功输入数据后,这个时候开始再使用Flume抽取Kafka的数据到HDFS
HDFS路径
hdfs dfs -mkdir -p /data/kfk
在hadoop03上创建配置文件
kafka2flume.conf
vi /home/hadoop/apps/apache-flume-1.8.0-bin/conf/kafka2flume.conf
# Name the components on this agent a1.sources = r1 a1.sinks = k1 a1.channels = c1 a1.sources.r1.type = org.apache.flume.source.kafka.KafkaSource a1.sources.r1.kafka.bootstrap.servers = hadoop01:9092,hadoop02:9092,hadoop03:9092 a1.sources.r1.kafka.topics = f2k a1.sources.kafkaSource.kafka.consumer.timeout.ms = 100 a1.sources.r1.batchSize = 20 # Describe the sink a1.sinks.k1.type = hdfs # 上传到hdfs的路径 a1.sinks.k1.hdfs.path = /data/kfk a1.sinks.k1.hdfs.fileType = DataStream # Use a channel which buffers events in memory a1.channels.c1.type = memory # Bind the source and sink to the channel a1.sources.r1.channels = c1 a1.sinks.k1.channel = c1
在hadoop01上启动
nohup bin/flume-ng agent -n a1 -c conf -f conf/flume2kafka.conf >/dev/null 2>&1 &
在hadoop03上启动
nohup bin/flume-ng agent -n a1 -c conf -f conf/kafka2flume.conf >/dev/null 2>&1 &
然后在hadoop01上给access.log追加数据
echo hello >> ~/access.log echo you >> ~/access.log
可以看到tmp文件,表示hdfs正在抽取
tmp后缀没有了之后表示抽取完成
可能遇到的问题
-
hdfs的目标目录下没有文件生成
查看第一步的数据是否写入了kafka
在hadoop01上启动消费者
kafka-console-consumer.sh --topic f2k --bootstrap-server hadoop01:9092,hadoop02:9092,hadoop03:9092
再发送数据,如果消费者没有反应,请先排查kafka的问题
echo hello >> ~/access.log echo you >> ~/access.log