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https://issues.apache.org/jira/browse/FLINK-15579?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17014875#comment-17014875
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Kurt Young commented on FLINK-15579:
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So you want to use JDBC as a batch sink?
> Can not use jdbc connector on Blink batch mode
> -----------------------------------------------
>
> Key: FLINK-15579
> URL: https://issues.apache.org/jira/browse/FLINK-15579
> Project: Flink
> Issue Type: Improvement
> Components: Table SQL / Planner
> Affects Versions: 1.9.0, 1.9.1
> Reporter: Shu Li Zheng
> Priority: Major
>
> Because JDBCTableSourceSinkFactory.createStreamTableSink() create
> JDBCUpsertTableSink. But BatchExecSink can not work with
> UpsertStreamTableSink.
> {code:scala}
> override protected def translateToPlanInternal(
> planner: BatchPlanner): Transformation[Any] = {
> val resultTransformation = sink match {
> case _: RetractStreamTableSink[T] | _: UpsertStreamTableSink[T] =>
> throw new TableException("RetractStreamTableSink and
> UpsertStreamTableSink is not" +
> " supported in Batch environment.")
> {code}
> DDL like:
> CREATE TABLE USER_RESULT(
> NAME VARCHAR,
> CITY VARCHAR,
> SCORE BIGINT
> ) WITH (
> 'connector.type' = 'jdbc',
> 'connector.url' = '',
> 'connector.table' = '',
> 'connector.driver' = 'com.mysql.cj.jdbc.Driver',
> 'connector.username' = 'root',
> 'connector.password' = '',
> 'connector.write.flush.interval' = '1s')
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