Important
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Debezium MySQL Source Connector for Confluent Platform¶
Note
If you are using Confluent Cloud, see https://docs.confluent.io/cloud/current/connectors/cc-mysql-source.html for the cloud Quick Start.
The Debezium’s MySQL Connector is a source connector that can obtain a snapshot of the existing data and record all of the row-level changes in the databases on a MySQL server/cluster. The first time it connects to a MySQL server, it reads a consistent snapshot of all of the databases. When that snapshot is complete, the connector continuously reads the changes that were committed to MySQL and generates corresponding insert, update, and delete events. All of the events for each table are recorded in a separate Kafka topic, where they can be easily consumed by applications and services.
- Confluent supports MySQL connector version 0.9.3 and later.
- Confluent supports using this connector with MySQL 5.6 or later.
Install the MySQL Connector¶
You can install this connector by using the Confluent Hub client (recommended) or you can manually download the ZIP file.
confluent-hub install debezium/debezium-connector-mysql:latest
You can install a specific version by replacing latest
with a version number. For example:
confluent-hub install debezium/debezium-connector-mysql:0.9.4
Install the connector manually¶
Download and extract the ZIP file for your connector and then follow the manual connector installation instructions.
License¶
The Debezium MySQL connector is an open source connector and does not require a Confluent Enterprise License.
Configuration Properties¶
For a complete list of configuration properties for this connector, see MySQL Source Connector (Debeziium) Configuration Properties.
Enable the Binary Log on MySQL Server¶
The MySQL server must be configured to use a row-level binary log, which is described in more detail in the MySQL documentation. MySQL’s binary log, or binlog, records all operations in the same order they are committed by the database, including changes to the schemas of tables or changes to data stored within the tables. MySQL uses its binlog for replication and recovery.
Debezium’s MySQL connector reads MySQL’s binary log to understand what and in what order data has changed. It then produces a change event for every row-level insert, update, and delete operation in the binlog, recording all the change events for each table in a separate Kafka topic. The Debezium MySQL connector requires every event it processes to be formatted as row-level events.
Important
If the MySQL server used by the connector is a replica, then all of that replica’s MySQL primary servers must also be configured to use a row-level binary log. Without this, the events from the primary will be in the wrong format and will be replicated to the secondary’s binlog in the wrong format.
Note
If the MySQL binlog events are in the wrong format, the connector will fail with an error that identifies
the event and a message similar to binlog probably contains events generated with statement or mixed based replication format
.
If the event is for a table other than the tables being captured by the connector, you can add a regular expression
that matches that problematic event’s DML or DDL statement to the internal.database.history.ddl.filter
connector
configuration property. However, if the event is for a table that is being captured, then skipping the event would
result in lost changes, and the only practical way to remediate the problem is to perform another snapshot of the
table(s) by creating a new connector with a different name. This can be expensive, which is why it’s important
to ensure the MySQL server’s binlog format is set correctly before starting a connector.
Setting the MySQL binlog format is most often done in the MySQL server configuration file, and will look similar to the following fragment:
server-id = 223344
log_bin = mysql-bin
binlog_format = row
binlog_row_image = full
expire_logs_days = 10
where:
- the value for server-id must be unique for each server and replication client within the MySQL cluster. When you set up the connector, you also assign the connector a unique server ID.
- the value for log_bin is the base name for the sequence of binlog files.
- the value for binlog_format must be set to row or ROW.
- the value for binlog_row_image must be set to full or FULL.
- the value for expire_log_days is the number of days for automatic binary log file removal. The default is 0, which means “no automatic removal,” so be sure to set a value that is appropriate for your environment.
Quick Start¶
Debezium’s MySQL Connector is a source connector that can record events for each table in a separate Kafka topic, where they can be easily consumed by applications and services.
Note
For an example of how to get Kafka Connect connected to Confluent Cloud, see Distributed Cluster in Connect Kafka Connect to Confluent Cloud.
Install the Connector¶
Refer to the Debezium tutorial if you want to use Docker images for setting up Kafka, ZooKeeper, and Kafka Connect. For the following tutorial, you need to have a local setup of Confluent Platform.
Navigate to your Confluent Platform installation directory and run the following command to install the connector:
confluent-hub install debezium/debezium-connector-mysql:0.9.4
Adding a new connector plugin requires restarting Connect. Use the Confluent CLI to restart Connect.
Tip
The command syntax for the Confluent CLI development commands changed in 5.3.0.
These commands have been moved to confluent local
. For example, the syntax for confluent start
is now
confluent local start
. For more information, see confluent local.
confluent local stop connect && confluent local start connect
Using CONFLUENT_CURRENT: /Users/username/Sandbox/confluent-snapshots/var/confluent.NuZHxXfq
Starting zookeeper
zookeeper is [UP]
Starting kafka
kafka is [UP]
Starting schema-registry
schema-registry is [UP]
Starting kafka-rest
kafka-rest is [UP]
Starting connect
connect is [UP]
Check if the MySQL plugin has been installed correctly and picked up by the plugin loader:
curl -sS localhost:8083/connector-plugins | jq .[].class | grep mysql
"io.debezium.connector.mysql.MySqlConnector"
Set up MySQL using Docker (Optional)¶
If you do not have a native installation of MySQL, you may use the following command to start a new container that runs a MySQL database server preconfigured with an inventory database:
#Run docker container
docker run -it --rm --name mysql \
-p 3306:3306 \
-e MYSQL_ROOT_PASSWORD=debezium \
-e MYSQL_USER=mysqluser \
-e MYSQL_PASSWORD=mysqlpw debezium/example-mysql:0.9
Start a MySQL command line client.
docker run -it --rm --name mysqlterm --link mysql --rm mysql:5.7 sh -c 'exec mysql -h"$MYSQL_PORT_3306_TCP_ADDR" -P"$MYSQL_PORT_3306_TCP_PORT" -uroot -p"$MYSQL_ENV_MYSQL_ROOT_PASSWORD"'
Start the Debezium SQL Server connector¶
Create the file register-mysql.json
to store the following connector configuration:
{
"name": "inventory-connector",
"config": {
"connector.class": "io.debezium.connector.mysql.MySqlConnector",
"tasks.max": "1",
"database.hostname": "mysql",
"database.port": "3306",
"database.user": "debezium",
"database.password": "dbz",
"database.server.id": "184054",
"database.server.name": "dbserver1",
"database.whitelist": "inventory",
"database.history.kafka.bootstrap.servers": "localhost:9092",
"database.history.kafka.topic": "schema-changes.inventory"
}
}
Start the connector.
curl -i -X POST -H "Accept:application/json" -H "Content-Type:application/json" http://localhost:8083/connectors/ -d @register-mysql.json
Start your Kafka consumer¶
Start the consumer in a new terminal session.
confluent local consume dbserver1.inventory.customers -- --from-beginning
When you enter SQL queries in MySQL bash to add or modify records in the database, messages populate and are displayed on your consumer terminal showing the added or modified records.
# Explore the sample inventory database already populated in your MySQL client running in Docker
use inventory;
SELECT * FROM customers;
# Type these queries to see change events in the consumer terminal
UPDATE customers SET first_name='Anne Marie' WHERE id=1004;
DELETE FROM customers WHERE id=1004;
Clean up resources¶
Delete the connector and stop Confluent services.
curl -X DELETE localhost:8083/connectors/inventory-connector
confluent local stop
Stop SQL Server container.
docker stop mysqlterm mysql
Note
Portions of the information provided here derives from documentation originally produced by the Debezium Community. Work produced by Debezium is licensed under Creative Commons 3.0.