网站建设资讯

NEWS

网站建设资讯

flume抽取mysql数据到kafka

kafka+zookeeper搭建见文章教程url

我们注重客户提出的每个要求,我们充分考虑每一个细节,我们积极的做好网站设计、成都网站建设服务,我们努力开拓更好的视野,通过不懈的努力,创新互联建站赢得了业内的良好声誉,这一切,也不断的激励着我们更好的服务客户。 主要业务:网站建设,网站制作,网站设计,小程序制作,网站开发,技术开发实力,DIV+CSS,PHP及ASP,ASP.Net,SQL数据库的技术开发工程师。

flume安装:
1、下载地址
2、安装-下图

flume抽取mysql数据到kafka
新建数据库和表
flume抽取mysql数据到kafka
3、配置新增conf/MySQL-flume.conf

[root@node191 apache-flume-1.8.0-bin]# cat conf/mysql-flume.conf 

a1.channels = ch-1
a1.sources = src-1
a1.sinks = k1
###########sql source#################
# For each one of the sources, the type is defined
a1.sources.src-1.type = org.keedio.flume.source.SQLSource
a1.sources.src-1.hibernate.connection.url = jdbc:mysql://192.168.3.191:3306/chenhuachao
# Hibernate Database connection properties
a1.sources.src-1.hibernate.connection.user = root
a1.sources.src-1.hibernate.connection.password = abcd@1234
a1.sources.src-1.hibernate.connection.autocommit = true
a1.sources.src-1.hibernate.dialect = org.hibernate.dialect.MySQL5Dialect
a1.sources.src-1.hibernate.connection.driver_class = com.mysql.jdbc.Driver
a1.sources.src-1.run.query.delay=5000
a1.sources.src-1.status.file.path = /opt/apache-flume-1.8.0-bin
a1.sources.src-1.status.file.name = sqlSource.status
# Custom query
a1.sources.src-1.start.from = 0
a1.sources.src-1.custom.query = select `id`, `name` from test
a1.sources.src-1.batch.size = 1000
a1.sources.src-1.max.rows = 1000
a1.sources.src-1.hibernate.connection.provider_class = org.hibernate.connection.C3P0ConnectionProvider
a1.sources.src-1.hibernate.c3p0.min_size=1
a1.sources.src-1.hibernate.c3p0.max_size=10

################################################################
a1.channels.ch-1.type = memory
a1.channels.ch-1.capacity = 10000
a1.channels.ch-1.transactionCapacity = 10000
a1.channels.ch-1.byteCapacityBufferPercentage = 20
a1.channels.ch-1.byteCapacity = 800000

################################################################
a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
a1.sinks.k1.topic = TestTopic
a1.sinks.k1.brokerList = 192.168.3.191:9092,192.168.3.193:9092,192.168.3.194:9092
a1.sinks.k1.requiredAcks = 1
a1.sinks.k1.batchSize = 20
a1.sinks.k1.channel = c1

a1.sinks.k1.channel = ch-1
a1.sources.src-1.channels=ch-1

4、添加mysql驱动到flume的lib目录下

$ wget https://dev.mysql.com/get/Downloads/Connector-J/mysql-connector-java-5.1.35.tar.gz
$ tar xzf mysql-connector-java-5.1.35.tar.gz
$ cp mysql-connector-java-5.1.35-bin.jar lib/

5、添加kafka的topic

bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 3 --partitions 1 --topic TestTopic   

6、启动flume agent

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

7、操作数据库,新增表数据,查看topic数据
flume抽取mysql数据到kafka


分享文章:flume抽取mysql数据到kafka
标题路径:http://cdweb.net/article/jisesh.html