wanglijie95 commented on a change in pull request #18050:
URL: https://github.com/apache/flink/pull/18050#discussion_r771171607
##########
File path:
flink-runtime/src/test/java/org/apache/flink/runtime/executiongraph/IntermediateResultPartitionTest.java
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@@ -140,6 +150,127 @@ public void testBlockingPartitionResetting() throws
Exception {
assertFalse(consumedPartitionGroup.areAllPartitionsFinished());
}
+ @Test
+ public void testGetNumberOfSubpartitionsForNonDynamicAllToAllGraph()
throws Exception {
+ testGetNumberOfSubpartitions(7, DistributionPattern.ALL_TO_ALL, false,
Arrays.asList(7, 7));
+ }
+
+ @Test
+ public void testGetNumberOfSubpartitionsForNonDynamicPointWiseGraph()
throws Exception {
+ testGetNumberOfSubpartitions(7, DistributionPattern.POINTWISE, false,
Arrays.asList(4, 3));
+ }
+
+ @Test
+ public void
testGetNumberOfSubpartitionsFromConsumerParallelismForDynamicAllToAllGraph()
+ throws Exception {
+ testGetNumberOfSubpartitions(7, DistributionPattern.ALL_TO_ALL, true,
Arrays.asList(7, 7));
Review comment:
Yes, it exists, users can set parallelism of a certain vertex. The
adaptive batch scheduler only decide parallelism for vertices whose parallelim
is not set by user(the vertex's parallelism in jobgraph is -1). For the
vertices whose parallelism is set by user or set in compile phase (the vertex's
parallelism in jobgraph is > 0), adaptive batch scheduler will not change it's
parallelism.
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