Kafka MySQL Connector

I am stopping development on this connector.

Here are two alternatives:

- For a MySQL->Kafka solution based on Kafka Connect, check out the excellent Debezium project.

- For a MySQL->Kafka solution that is a standalone application, check out the excellent Maxwell project, upon which this connector was based.

Thank you for your support!

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kafka-mysql-connector is a plugin that allows you to easily replicate MySQL changes to Apache Kafka. It uses the fantastic Maxwell project to read MySQL binary logs in near-real time. It runs as a plugin within the Kafka Connect framework, which provides a standard way to ingest data into Kafka.

By using Maxwell, we are able to:

• replicate data from an unpatched MySQL server
• Parse ALTER/CREATE/DROP table statements, which allows us to always have a correct view of the MySQL schema

By plugging in to the Kafka Connect framework, we are able to:

• benefit from standardized best practices for Kafka producers and consumers
• run in distributed or standalone mode
• manage the Kafka MySQL Connector via REST interfaces
• manage offsets in Kafka

Status

This code is a work-in-progress.

What's done:

• Offsets stored in Kafka by the Kafka Connect framework
• Data format is a string... which contains JSON. Which is stored within a JSON structure by Kafka Connect. Which means tons of escaped quotes.
• Each table is written to its own topic. The Kafka primary key is the row's primary key.
• It supports primary keys which are ints.

What needs to be done:

• Support primary keys of any SQL type
• Add schema support for the rows, so that it isn't a JSON string
• Testing.
• Packaging
• Logging

Instructions for building and running

For now, it uses a forked version of Maxwell. I have spoken to Ben Osheroff, the author of Maxwell, and I will be contributing my changes back to the Maxwell project.

1. Pull down my Maxwell fork.

   $ git clone https://github.com/wushujames/maxwell.git maxwell
   

2. Build my Maxwell fork (which is in a branch called wushujames/libraryize) and place jars in local maven repo

   $ (cd maxwell && git checkout wushujames/libraryize && mvn install)
   

3. Pull this repo down and build it and "install" it within the build directory.

   $ git clone https://github.com/wushujames/kafka-mysql-connector kafka-mysql-connector
   $ (cd kafka-mysql-connector && ./gradlew build installDist)
   

4. Run zookeeper somehow.

   Here are instructions on how to run it using docker.
   $ docker run -d --name zookeeper -p 2181:2181 confluent/zookeeper
   

5. Download and run kafka 0.9.0 locally by following the instructions at http://kafka.apache.org/documentation.html#quickstart

   $ curl -o kafka_2.11-0.9.0.0.tgz http://www.us.apache.org/dist/kafka/0.9.0.0/kafka_2.11-0.9.0.0.tgz
   $ tar xvfz kafka_2.11-0.9.0.0.tgz
   $ cd kafka_2.11-0.9.0.0
   $ ./bin/kafka-server-start.sh config/server.properties
   

6. Start up and configure mysql properly. (This is horribly ugly. I will clean it up at some point, but wanted to get something usable out).

   docker run --name mariadb -e MYSQL_ROOT_PASSWORD=passwd -p 3306:3306 -d mariadb:5.5
   docker exec -it mariadb bash
   
   cat << EOF > /etc/mysql/conf.d/skip-name-resolve.cnf
   [mysqld]
   skip-host-cache
   skip-name-resolve
   EOF
   
   cat << EOF > /etc/mysql/conf.d/binlog.cnf
   [mysqld]
   server-id=1
   log-bin=master
   binlog_format=row
   EOF
   
   exit
   
   docker stop mariadb
   docker start mariadb
   
   mysql -v --protocol=tcp --host=192.168.59.103 --user=root --password=passwd
   
   GRANT SELECT, REPLICATION CLIENT, REPLICATION SLAVE on *.* to 'maxwell'@'%' identified by 'XXXXXX';
   GRANT ALL on maxwell.* to 'maxwell'@'%';
   

7. Configure connector, pointing to your mysql instance. (See connect-mysql-source.properties)

8. Run Copycat with this connector, with the connector's files in the CLASSPATH.

   $ export CLASSPATH=`pwd`/kafka-mysql-connector/build/install/kafka-mysql-connector/connect-mysql-source.jar:`pwd`/kafka-mysql-connector/build/install/kafka-mysql-connector/lib/*
   $ kafka_2.11-0.9.0.0/bin/connect-standalone.sh kafka-mysql-connector/copycat-standalone.properties  kafka-mysql-connector/connect-mysql-source.properties
   

9. Insert into mysql

   $ mysql -v --protocol=tcp --host=192.168.59.103 --user=root --password=passwd
   MariaDB [(none)]> create database test;
   MariaDB [(none)]> create table test.users (userId int auto_increment primary key, name char(128));
   MariaDB [(none)]> insert into test.users (name) values ("James");
   

10. Read the data out from the kafka topic named 'test.users'. The name of the topic correponds to the name of the database.table you inserted into.

    $ kafka_2.11-0.9.0.0/bin/kafka-console-consumer.sh  --zookeeper localhost:2181 --topic test.users --from-beginning
    {"schema":{"type":"struct","fields":[{"type":"int32","optional":false,"field":"userid"},{"type":"string","optional":false,"field":"name"}],"optional":false,"name":"test.users"},"payload":{"userid":1,"name":"James"}}