lsyldliu commented on a change in pull request #11482: [FLINK-16581][table]
Minibatch deduplication lack state TTL bug fix
URL: https://github.com/apache/flink/pull/11482#discussion_r409363582
##########
File path:
flink-table/flink-table-runtime-blink/src/test/java/org/apache/flink/table/runtime/operators/deduplicate/MiniBatchDeduplicateKeepFirstRowFunctionTest.java
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@@ -71,4 +71,41 @@ public void testKeepFirstRowWithGenerateRetraction() throws
Exception {
testHarness.close();
}
+ @Test
+ public void tesKeepFirstRowWithStateTtl() throws Exception {
+ MiniBatchDeduplicateKeepFirstRowFunction func = new
MiniBatchDeduplicateKeepFirstRowFunction(typeSerializer,
minTime.toMilliseconds());
+ OneInputStreamOperatorTestHarness<BaseRow, BaseRow> testHarness
= createTestHarness(func);
+ testHarness.setup();
+ testHarness.open();
+ testHarness.processElement(record("book", 1L, 12));
+ testHarness.processElement(record("book", 2L, 11));
+ // output is empty because bundle not trigger yet.
+ Assert.assertTrue(testHarness.getOutput().isEmpty());
+ testHarness.processElement(record("book", 1L, 13));
+
+ testHarness.setStateTtlProcessingTime(30);
+ //Incremental cleanup is an eventual clean up, more state
access guarantee more expired state cleaned
+ for (long i = 3; i < 30; i++) {
+ testHarness.processElement(record("book", i, 20));
Review comment:
Okay, I also prefer to `NeverReturnExpired` strategy, I choose
`ReturnExpiredIfNotCleanedUp ` because stream-stream join use it currently, I
think it should be unified.
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