使用Flume实现MySQL与Kafka实时同步

程序员朱永胜

发布于 2023-08-17 15:14:47

3150

发布于 2023-08-17 15:14:47

文章被收录于专栏：朱永胜的私房菜朱永胜的私房菜

使用Flume实现MySQL与Kafka实时同步

一、Kafka配置

1.创建Topic

./kafka-topics.sh --zookeeper localhost:2181  --topic test1

2.创建Producer

./kafka-console-producer.sh --broker-list localhost:9092  --topic test1

3.创建Consumer

./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test &gt; ../result 2&gt;&1

二、Flume配置

1.下载

http://www.apache.org/dyn/closer.lua/flume/1.9.0/apache-flume-1.9.0-bin.tar.gz https://github.com/keedio/flume-ng-sql-source/archive/v1.5.2.tar.gz

2.解压

tar -xivf  apache-flume-1.9.0-bin.tar.gz
tar -xivf flume-ng-sql-source-1.5.2.tar.gz

3.编译flume-ng-sql-source jar包

mvn package

将编译好的jar包复制到flume的lib目录下

这边给个编译好的：https://share.weiyun.com/5TKVe54

4.配置文件

conf文件夹下，自己新建一个文件，名字随便起，启动的时候指定该配置文件就行了

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
# mysql地址
a1.sources.src-1.hibernate.connection.url = jdbc:mysql://192.168.11.38:13306/ccb_yiqian
# Hibernate Database connection properties
#数据库账号
a1.sources.src-1.hibernate.connection.user = root
#数据库密码
a1.sources.src-1.hibernate.connection.password = jinbill
#是否自动提交
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
#查询间隔
a1.sources.src-1.run.query.delay=100000000
#输出路径
a1.sources.src-1.status.file.path = /home/mysql/flume/apache-flume-1.9.0-bin
#输出文件名称
a1.sources.src-1.status.file.name = sqlSource.status
# Custom query
#从哪里开始读取数据传输
a1.sources.src-1.start.from = 0
#SQL--传什么写什么
a1.sources.src-1.custom.query = SELECT * from  ticket_back_assign
#批量发送数据量 应该是source 发送到 channel 
a1.sources.src-1.batch.size = 1000
#最大查询行数
a1.sources.src-1.max.rows = 100000
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
#分割符
a1.sources.sqlSource.delimiter.entry = |


################################################################
a1.channels.ch-1.type = memory
a1.channels.ch-1.capacity = 1000000
a1.channels.ch-1.transactionCapacity = 1000000
a1.channels.ch-1.byteCapacityBufferPercentage = 20
#a1.channels.ch-1.byteCapacity = 1000000

################################################################
a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
#要传输的topic
a1.sinks.k1.topic = test1
#broker地址
a1.sinks.k1.brokerList = 192.168.11.38:19092
#ack模式选择 -1.0,1
a1.sinks.k1.requiredAcks = 1
#批量发送数据量 应该是sink发送到 kafka 
a1.sinks.k1.batchSize = 200
a1.sinks.k1.channel = c1

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

启动

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

注意事项

1.kafka producer 报错内存不够

./kafka-topics.sh --zookeeper localhost:2181 --alter --topic test1  --config max.message.bytes=4096000 replica.fetch.max.bytes=4096000

2.flume 报错内存不够

注意这几个参数

a1.channels.ch-1.capacity = 1000000
a1.channels.ch-1.transactionCapacity = 1000000
a1.sources.src-1.batch.size = 1000
a1.sources.src-1.max.rows = 100000

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原始发表：2023-08-17，如有侵权请联系 cloudcommunity@tencent.com 删除

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