[
https://issues.apache.org/jira/browse/FLINK-13270?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
molsion updated FLINK-13270:
----------------------------
Description:
# Submitting a job that source is Kafka, and Kafka partition is 1 , if set
source Parallelism to 4,the job will be submitted successfully and source
operator is RUNNING status but three Parallelism task is FINISHED
# checkpoint will abort when
org.apache.flink.runtime.checkpoint.CheckpointCoordinator#triggerCheckpoint
trigger and return
CheckpointTriggerResult(CheckpointDeclineReason.NOT_ALL_REQUIRED_TASKS_RUNNING),
this job do not have a successful checkpoint and lost runtime status
# Here is the log
{code:java}
//代码占位符
July 15th 2019, 19:29:43.230 Checkpoint triggering task Source:
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer@132e3594-Stream
-> Calc(where: (CAST(msg) LIKE '%我们%'), select: (CAST(msg) AS kkey, CAST(key)
AS msg)) -> SinkConversion to Row (1/4) of job 2e1b28950a38d62803a9840609b55612
is not being executed at the moment. Aborting checkpoint.
July 15th 2019, 19:28:43.230 Checkpoint triggering task Source:
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer@132e3594-Stream
-> Calc(where: (CAST(msg) LIKE '%我们%'), select: (CAST(msg) AS kkey, CAST(key)
AS msg)) -> SinkConversion to Row (1/4) of job 2e1b28950a38d62803a9840609b55612
is not being executed at the moment. Aborting checkpoint.
{code}
We want to be able to trigger checkpoint and store it if we have a finished
node in operator,or we want to be able to check Parallelism problem when we
submit the job(eg : if Parallelism > kafkaPartition then submit unsuccessfully)
was:
# Submitting a job that source is Kafka, and Kafka partition is 1 , if set
source Parallelism to 4,the job will be submitted successfully and source
operator is RUNNING status but three Parallelism task is FINISHED
# checkpoint will abort when
org.apache.flink.runtime.checkpoint.CheckpointCoordinator#triggerCheckpoint
trigger and return
CheckpointTriggerResult(CheckpointDeclineReason.NOT_ALL_REQUIRED_TASKS_RUNNING),
this job do not have a successful checkpoint and lost runtime status
# Here is the log
{code:java}
//代码占位符
July 15th 2019, 19:29:43.230 Checkpoint triggering task Source:
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer@132e3594-Stream
-> Calc(where: (CAST(msg) LIKE '%我们%'), select: (CAST(msg) AS kkey, CAST(key)
AS msg)) -> SinkConversion to Row (1/4) of job 2e1b28950a38d62803a9840609b55612
is not being executed at the moment. Aborting checkpoint.
July 15th 2019, 19:28:43.230 Checkpoint triggering task Source:
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer@132e3594-Stream
-> Calc(where: (CAST(msg) LIKE '%我们%'), select: (CAST(msg) AS kkey, CAST(key)
AS msg)) -> SinkConversion to Row (1/4) of job 2e1b28950a38d62803a9840609b55612
is not being executed at the moment. Aborting checkpoint.
{code}
We want to be able to trigger checkpoint and store it if we have a finished
node in operator,or we want to be able to check Parallelism problem when we
submit the job(eg : if Parallelism > kafkaPartition then submit unsuccessfully)
> CheckpointCoordinator abort the checkpoint
> ------------------------------------------
>
> Key: FLINK-13270
> URL: https://issues.apache.org/jira/browse/FLINK-13270
> Project: Flink
> Issue Type: Bug
> Components: Runtime / Checkpointing
> Affects Versions: 1.6.3
> Reporter: molsion
> Priority: Critical
> Attachments: image-2019-07-15-19-30-12-930.png
>
>
> # Submitting a job that source is Kafka, and Kafka partition is 1 , if set
> source Parallelism to 4,the job will be submitted successfully and source
> operator is RUNNING status but three Parallelism task is FINISHED
> # checkpoint will abort when
> org.apache.flink.runtime.checkpoint.CheckpointCoordinator#triggerCheckpoint
> trigger and return
> CheckpointTriggerResult(CheckpointDeclineReason.NOT_ALL_REQUIRED_TASKS_RUNNING),
> this job do not have a successful checkpoint and lost runtime status
> # Here is the log
> {code:java}
> //代码占位符
> July 15th 2019, 19:29:43.230 Checkpoint triggering task Source:
> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer@132e3594-Stream
> -> Calc(where: (CAST(msg) LIKE '%我们%'), select: (CAST(msg) AS kkey,
> CAST(key) AS msg)) -> SinkConversion to Row (1/4) of job
> 2e1b28950a38d62803a9840609b55612 is not being executed at the moment.
> Aborting checkpoint.
> July 15th 2019, 19:28:43.230 Checkpoint triggering task Source:
> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer@132e3594-Stream
> -> Calc(where: (CAST(msg) LIKE '%我们%'), select: (CAST(msg) AS kkey,
> CAST(key) AS msg)) -> SinkConversion to Row (1/4) of job
> 2e1b28950a38d62803a9840609b55612 is not being executed at the moment.
> Aborting checkpoint.
> {code}
>
> We want to be able to trigger checkpoint and store it if we have a finished
> node in operator,or we want to be able to check Parallelism problem when we
> submit the job(eg : if Parallelism > kafkaPartition then submit
> unsuccessfully)
>
>
>
>
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