flink cdc 1.19.1
https://nightlies.apache.org/flink/flink-cdc-docs-release-3.3/docs/get-started/quickstart/mysql-to-starrocks/

# 启动
# 所在的服务器是: 技术预演的操作
使用 start-flink-jobs.sh 进行启动
http://117.78.39.204:8081/

# 通过https://repo1.maven.org/maven2/org/apache/flink/flink-cdc-pipeline-connector-mysql/3.3.0/flink-cdc-pipeline-connector-mysql-3.3.0.jar 
# 可以推测出: 相关的sink包在https://repo1.maven.org/maven2/org/apache/flink

kafka的数据
https://repo1.maven.org/maven2/org/apache/flink/flink-cdc-pipeline-connector-kafka/3.3.0/

mysql to kafka 
需要用到的lib信息包括
# /data/soft/flink/flink-1.19.1/flink-1.19.1/flink-cdc-3.3.0/lib 中需要
flink-cdc-dist-3.3.0.jar
flink-cdc-pipeline-connector-kafka-3.3.0.jar
flink-cdc-pipeline-connector-mysql-3.3.0.jar

# /data/soft/flink/flink-1.19.1/flink-1.19.1/lib 中需要添加
mysql-connector-j-8.0.32.jar


# 执行如下语句将Mysql数据同步到Kafka
bash bin/flink-cdc.sh mysql-to-kafka.yaml --flink-home=/data/soft/flink/flink-1.19.1/flink-1.19.1

# 访问地址
http://117.78.39.204:8081/#/job/running