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spark学习之Lambda架构日志分析流水线

单机运行

一、环境准备

Flume 1.6.0

Hadoop 2.6.0

Spark 1.6.0

Java version 1.8.0_73

Kafka 2.11-0.9.0.1

zookeeper 3.4.6

 

二、配置

spark和hadoop配置见()

kafka和zookeeper使用默认配置

1、kafka配置

启动

bin/kafka-server-start.sh config/server.properties

创建一个test的topic

bin/kafka-topics.sh --create --zookeeper vm: 2181 --replication-factor 1 --partitions 1 --topic test

 

2、flume配置文件,新建一个dh.conf文件,配置如下

其中发送的内容为apache-tomcat-8.0.32的访问日志

#define c1agent1.channels.c1.type = memoryagent1.channels.c1.capacity = 2000000agent1.channels.c1.transactionCapacity = 100#define c1 end#define c2agent1.channels.c2.type = memoryagent1.channels.c2.capacity = 2000000agent1.channels.c2.transactionCapacity = 100#define c2 end#define source monitor a fileagent1.sources.avro-s.type = execagent1.sources.avro-s.command = tail -f -n+1 /usr/local/hong/apache-tomcat-8.0.32/logs/localhost_access_log.2016-02-19.txtagent1.sources.avro-s.channels = c1 c2agent1.sources.avro-s.threads = 5# send to hadoopagent1.sinks.log-hdfs.channel = c1agent1.sinks.log-hdfs.type = hdfsagent1.sinks.log-hdfs.hdfs.path = hdfs://vm:9000/flumeagent1.sinks.log-hdfs.hdfs.writeFormat = Textagent1.sinks.log-hdfs.hdfs.fileType = DataStreamagent1.sinks.log-hdfs.hdfs.rollInterval = 0agent1.sinks.log-hdfs.hdfs.rollSize = 1000000agent1.sinks.log-hdfs.hdfs.rollCount = 0agent1.sinks.log-hdfs.hdfs.batchSize = 1000agent1.sinks.log-hdfs.hdfs.txnEventMax = 1000agent1.sinks.log-hdfs.hdfs.callTimeout = 60000agent1.sinks.log-hdfs.hdfs.appendTimeout = 60000#send to kafakaagent1.sinks.log-sink2.type = org.apache.flume.sink.kafka.KafkaSinkagent1.sinks.log-sink2.topic = testagent1.sinks.log-sink2.brokerList = vm:9092agent1.sinks.log-sink2.requiredAcks = 1agent1.sinks.log-sink2.batchSize = 20agent1.sinks.log-sink2.channel = c2# Finally, now that weve defined all of our components, tell# agent1 which ones we want to activate.agent1.channels = c1 c2agent1.sources = avro-sagent1.sinks = log-hdfs log-sink2

 

三、测试flume发送

1、启动hdfs

./start-dfs.sh

2、启动zookeeper

./zkServer.sh start

3、kafka的见上面

4、启动flume

 flume-ng agent -c conf -f dh.conf -n agent1 -Dflume.root.logger=INFO,console

 

四、测试效果

运行kafka的consumer查看

bin/kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning

可以看到如下内容说明kafka和flume的配置成功

技术分享

访问hdfs查看如果/flume可以下载文件进行查看验证hdfs发送是否成功

spark学习之Lambda架构日志分析流水线