Hi, 如同[1]里面说的，对于csv和json，你还需要配置rolling相关参数，因为它们是可以不在checkpoint强行rolling的。
NOTE: For row formats (csv, json), you can set the parameter sink.rolling-policy.file-size or sink.rolling-policy.rollover-interval in the connector properties and parameter execution.checkpointing.interval in flink-conf.yaml together if you don’t want to wait a long period before observe the data exists in file system. For other formats (avro, orc), you can just set parameter execution.checkpointing.interval in flink-conf.yaml. 所以如果你想通过时间来rolling，你还需要配sink.rolling-policy.rollover-interval和sink.rolling-policy.check-interval [1] https://ci.apache.org/projects/flink/flink-docs-master/dev/table/connectors/filesystem.html#rolling-policy Best, Jingsong On Fri, Jul 17, 2020 at 4:25 PM kcz <[email protected]> wrote: > 代码引用 > > https://ci.apache.org/projects/flink/flink-docs-release-1.11/dev/table/connectors/filesystem.html#full-example > 将parquet换成了json之后，chk成功，但是文件状态一直处于in-progress状态，我应该如何让它成功呢？ > parquet目前是已经success了。 -- Best, Jingsong Lee
