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https://issues.apache.org/jira/browse/FLINK-18852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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liupengcheng updated FLINK-18852:
---------------------------------
Description:
Currently, the parallelism for StreamTableSourceScan/DataStreamScan is not
inherited from the upstream input, but retrieved from the config. I think this
is unexpected.
I find this issue through UT, here is an example:
{code:java}
// env parallelism is set to 4
val env = StreamExecutionEnvironment.getExecutionEnvironment
val tEnv = StreamTableEnvironment.create(env)
StreamITCase.testResults = new mutable.MutableList[String]
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
env.setParallelism(4)
// DataSource parallelism is set to 1
val table1 = env.fromCollection(left)
.setParallelism(1)
.assignTimestampsAndWatermarks(new TimestampAndWatermarkWithOffset[(Long,
String)](0))
.toTable(tEnv, 'a, 'b)
val table2 = env.fromCollection(right)
.setParallelism(1)
.assignTimestampsAndWatermarks(new TimestampAndWatermarkWithOffset[(Long,
String)](0))
.toTable(tEnv, 'a, 'b)
{code}
But when you start the execution, and visualize the execution plan, you can
find that the "from"(the StreamScan) operator's parallelism is 4.
!image-2020-08-07-21-22-57-843.png!
was:
Currently, the parallelism for StreamTableSourceScan/DataStreamScan is not
inherited from the upstream input, but retrieved from the config. I think this
is unexpected.
I find this issue through UT, here is an example:
{code:java}
// env parallelism is set to 4
val env = StreamExecutionEnvironment.getExecutionEnvironment
val tEnv = StreamTableEnvironment.create(env)
StreamITCase.testResults = new mutable.MutableList[String]
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
env.setParallelism(4)
// DataSource parallelism is set to 1
val table1 = env.fromCollection(left)
.setParallelism(1)
.assignTimestampsAndWatermarks(new TimestampAndWatermarkWithOffset[(Long,
String)](0))
.toTable(tEnv, 'a, 'b)
val table2 = env.fromCollection(right)
.setParallelism(1)
.assignTimestampsAndWatermarks(new TimestampAndWatermarkWithOffset[(Long,
String)](0))
.toTable(tEnv, 'a, 'b)
{code}
But when you start the execution, and visualize the execution plan, you can
find that the "from"(the StreamScan) operator's parallelism is 4.
!image-2020-08-07-21-22-57-843.png|thumbnail!
> StreamScan should keep the same parallelism as the input
> --------------------------------------------------------
>
> Key: FLINK-18852
> URL: https://issues.apache.org/jira/browse/FLINK-18852
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Planner
> Affects Versions: 1.11.1
> Reporter: liupengcheng
> Priority: Major
> Attachments: image-2020-08-07-21-22-57-843.png
>
>
> Currently, the parallelism for StreamTableSourceScan/DataStreamScan is not
> inherited from the upstream input, but retrieved from the config. I think
> this is unexpected.
> I find this issue through UT, here is an example:
> {code:java}
> // env parallelism is set to 4
> val env = StreamExecutionEnvironment.getExecutionEnvironment
> val tEnv = StreamTableEnvironment.create(env)
> StreamITCase.testResults = new mutable.MutableList[String]
> env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
> env.setParallelism(4)
> // DataSource parallelism is set to 1
> val table1 = env.fromCollection(left)
> .setParallelism(1)
> .assignTimestampsAndWatermarks(new
> TimestampAndWatermarkWithOffset[(Long, String)](0))
> .toTable(tEnv, 'a, 'b)
> val table2 = env.fromCollection(right)
> .setParallelism(1)
> .assignTimestampsAndWatermarks(new
> TimestampAndWatermarkWithOffset[(Long, String)](0))
> .toTable(tEnv, 'a, 'b)
> {code}
> But when you start the execution, and visualize the execution plan, you can
> find that the "from"(the StreamScan) operator's parallelism is 4.
> !image-2020-08-07-21-22-57-843.png!
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