使用在Docker上运行的Debezium和Confluent Sink Connector将所有更改从源数据库复制到目标数据库,可以按照以下步骤进行:
version: '3'
services:
debezium:
image: debezium/connect:1.6
ports:
- 8083:8083
environment:
- GROUP_ID=1
- CONFIG_STORAGE_TOPIC=my-connect-configs
- OFFSET_STORAGE_TOPIC=my-connect-offsets
- STATUS_STORAGE_TOPIC=my-connect-statuses
- BOOTSTRAP_SERVERS=kafka:9092
confluent-sink:
image: confluentinc/connect-base:6.2.1
ports:
- 8084:8084
environment:
- CONNECT_BOOTSTRAP_SERVERS=kafka:9092
- CONNECT_REST_ADVERTISED_HOST_NAME=confluent-sink
- CONNECT_REST_PORT=8084
- CONNECT_GROUP_ID=1
- CONNECT_CONFIG_STORAGE_TOPIC=my-connect-configs
- CONNECT_OFFSET_STORAGE_TOPIC=my-connect-offsets
- CONNECT_STATUS_STORAGE_TOPIC=my-connect-statuses
- CONNECT_CONFIG_STORAGE_REPLICATION_FACTOR=1
- CONNECT_OFFSET_STORAGE_REPLICATION_FACTOR=1
- CONNECT_STATUS_STORAGE_REPLICATION_FACTOR=1
- CONNECT_PLUGIN_PATH=/usr/share/java,/usr/share/confluent-hub-components
volumes:
- ./confluent-sink-connector:/usr/share/confluent-hub-components
mysql-connector.json
的文件,内容如下:{
"name": "mysql-connector",
"config": {
"connector.class": "io.debezium.connector.mysql.MySqlConnector",
"tasks.max": "1",
"database.hostname": "source-db-host",
"database.port": "3306",
"database.user": "source-db-user",
"database.password": "source-db-password",
"database.server.id": "1",
"database.server.name": "source-db",
"database.whitelist": "your-database-name",
"database.history.kafka.bootstrap.servers": "kafka:9092",
"database.history.kafka.topic": "dbhistory.source-db"
}
}
docker-compose up -d
curl -i -X POST -H "Accept:application/json" -H "Content-Type:application/json" \
http://localhost:8083/connectors/ -d @mysql-connector.json
jdbc-sink-connector.json
的文件,内容如下:{
"name": "jdbc-sink-connector",
"config": {
"connector.class": "io.confluent.connect.jdbc.JdbcSinkConnector",
"tasks.max": "1",
"topics": "your-database-name.public.table-name",
"connection.url": "jdbc:your-target-database-connection-url",
"connection.user": "your-target-db-user",
"connection.password": "your-target-db-password",
"auto.create": "true",
"auto.evolve": "true",
"insert.mode": "upsert",
"pk.fields": "id",
"pk.mode": "record_key",
"transforms": "unwrap,insertTopic",
"transforms.unwrap.type": "io.debezium.transforms.UnwrapFromEnvelope",
"transforms.insertTopic.type": "org.apache.kafka.connect.transforms.InsertField$Value",
"transforms.insertTopic.topic.field": "table"
}
}
curl -i -X POST -H "Accept:application/json" -H "Content-Type:application/json" \
http://localhost:8084/connectors/ -d @jdbc-sink-connector.json
总结: 使用在Docker上运行的Debezium和Confluent Sink Connector可以轻松实现将源数据库的更改复制到目标数据库。Debezium作为一个开源的分布式平台,可以实时捕获源数据库的变更,并将其作为Kafka消息发布,而Confluent Sink Connector则可以订阅Kafka消息,将数据写入目标数据库。这种架构可以实现可靠的数据复制,并支持多种数据库和表的复制配置。在使用过程中,可以根据具体需求调整配置参数,实现灵活的数据复制方案。
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