I implemented a custom function that throws up a runtime exception. You can extend from simpler MapFunction or more complicated RichParallelSourceFunction depending on your use case. You can add logic to throw a runtime exception on a certain condition in the map or run method. . You can use a count or timer to trigger the exception.
Sharing a quick handwritten example. DataStream<String> stream = ..... DataStream<String> mappedStream = stream.map(new MapFunction<String, String>>() { @Override public String map(String value) throws Exception { if (SOME_CONDITION) { throw new RuntimeException("Lets test checkpointing"); } return value; } }); ~ Abhinav Bajaj From: Eleanore Jin <eleanore....@gmail.com> Date: Wednesday, March 4, 2020 at 4:40 PM To: user <user@flink.apache.org>, user-zh <user...@flink.apache.org> Subject: How to test flink job recover from checkpoint Hi, I have a flink application and checkpoint is enabled, I am running locally using miniCluster. I just wonder if there is a way to simulate the failure, and verify that flink job restarts from checkpoint? Thanks a lot! Eleanore