Even though your answer was helpful, I am testing my flink pipeline in scala not in java. Is there any Scala example you can provide me? Thanks in advance
Diogo Araújo | Rockstar Developer diogo.ara...@criticaltechworks.com +351 912882824 Rua do Campo Alegre, nº 17, piso 0 | 4150-177 Porto www.criticaltechworks.com <https://www.criticaltechworks.com/> <https://www.instagram.com/criticaltechworks/> <https://www.linkedin.com/company/criticaltechworks/> <https://twitter.com/ctechworks> <https://www.facebook.com/CriticalTechWorks/> On 01/11/2019, 03:38, "vino yang" <yanghua1...@gmail.com> wrote: Hi Diogo, In order to test ProcessAllWindowFunction, you need to do a little more. You can refer to Flink's own test code.[1] In short: 1) Write a Flink Streaming job that uses your UDF (here is ProcessAllWindowFunction) and return a DataStream. 2) Get OneInputTransformation through DataStream, and then get OneInputStreamOperator; 3) Convert OneInputStreamOperator to WindowOperator; 4) Use test harness, please refer here[2] Best, Vino [1]: https://github.com/apache/flink/blob/master/flink-streaming-java/src/test/java/org/apache/flink/streaming/runtime/operators/windowing/AllWindowTranslationTest.java#L732 [2]: https://github.com/apache/flink/blob/master/flink-streaming-java/src/test/java/org/apache/flink/streaming/runtime/operators/windowing/AllWindowTranslationTest.java#L1405 Diogo Araújo <diogo.ara...@criticaltechworks.com> 于2019年11月1日周五 上午1:31写道： > Good afternoon, > > > > After Reading the official flink testing documentation ( > https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/stream/testing.html > ) > > I was able to develop tests for a ProcessFunction, using a Test Harness, > something like this: > > > > *pendingPartitionBuilder *= new PendingPartitionBuilder(":::some_name", "" > ) > > *testHarness *= > new OneInputStreamOperatorTestHarness[StaticAdequacyTilePublishedData, > PendingPartition]( > new ProcessOperator[StaticAdequacyTilePublishedData,PendingPartition]( > *pendingPartitionBuilder*) > ) > > *testHarness*.open() > > > > > now, I’m trying to do the same for a ProcessAllWindowFunction. > > First I realized I can’t use TestHarness for ProcessAllWindowFunction, > because it doesn’t have a processElement method. In this case, what unit > test strategy should I follow? > > > > > > *Diogo Araújo* | Rockstar Developer > diogo.ara...@criticaltechworks.com > +351 912882824 > [image: Critical TechWorks] > Rua do Campo Alegre, nº 17, piso 0 | 4150-177 Porto > www.criticaltechworks.com > [image: Critical TechWorks @ Instagram] > <https://www.instagram.com/criticaltechworks/>[image: Critical TechWorks > @ LinkedIn] <https://www.linkedin.com/company/criticaltechworks/>[image: > Critical TechWorks @ Twitter] <https://twitter.com/ctechworks>[image: > Critical TechWorks @ Facebook] > <https://www.facebook.com/CriticalTechWorks/> > > > > > > *From: *Diogo Araújo <diogo.ara...@criticaltechworks.com> > *Date: *Thursday, 31 October 2019 at 16:55 > *To: *"u...@flink.apache.org" <u...@flink.apache.org> > *Subject: *Unit testing for ProcessAllWindowFunction > > > > Good afternoon, > > > > After Reading the official flink testing documentation ( > https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/stream/testing.html > ) > > I was able to develop tests for a ProcessFunction, using a Test Harness, > something like this: > > > > *pendingPartitionBuilder *= new PendingPartitionBuilder(":::some_name", "" > ) > > *testHarness *= > new OneInputStreamOperatorTestHarness[StaticAdequacyTilePublishedData, > PendingPartition]( > new ProcessOperator[StaticAdequacyTilePublishedData, > PendingPartition](*pendingPartitionBuilder*) > ) > > *testHarness*.open() > > > > > now, I’m trying to do the same for a ProcessAllWindowFunction. > > First I realized I can’t use TestHarness for ProcessAllWindowFunction, > because it doesn’t have a processElement method. In this case, what unit > test strategy should I follow? > > *Diogo Araújo* | Rockstar Developer > diogo.ara...@criticaltechworks.com > +351 912882824 > [image: Critical TechWorks] > Rua do Campo Alegre, nº 17, piso 0 | 4150-177 Porto > www.criticaltechworks.com > [image: Critical TechWorks @ Instagram] > <https://www.instagram.com/criticaltechworks/>[image: Critical TechWorks > @ LinkedIn] <https://www.linkedin.com/company/criticaltechworks/>[image: > Critical TechWorks @ Twitter] <https://twitter.com/ctechworks>[image: > Critical TechWorks @ Facebook] > <https://www.facebook.com/CriticalTechWorks/> > > >
