[SPARK-23408][SS] Synchronize successive AddData actions in Streaming*JoinSuite by tdas · Pull Request #20650 · apache/spark

tdas · 2018-02-21T11:13:34Z

The best way to review this PR is to ignore whitespace/indent changes. Use this link - https://github.com/apache/spark/pull/20650/files?w=1

What changes were proposed in this pull request?

The stream-stream join tests add data to multiple sources and expect it all to show up in the next batch. But there's a race condition; the new batch might trigger when only one of the AddData actions has been reached.

Prior attempt to solve this issue by @jose-torres in #20646 attempted to simultaneously synchronize on all memory sources together when consecutive AddData was found in the actions. However, this carries the risk of deadlock as well as unintended modification of stress tests (see the above PR for a detailed explanation). Instead, this PR attempts the following.

A new action called StreamProgressBlockedActions that allows multiple actions to be executed while the streaming query is blocked from making progress. This allows data to be added to multiple sources that are made visible simultaneously in the next batch.
An alias of StreamProgressBlockedActions called MultiAddData is explicitly used in the Streaming*JoinSuites to add data to two memory sources simultaneously.

This should avoid unintentional modification of the stress tests (or any other test for that matter) while making sure that the flaky tests are deterministic.

How was this patch tested?

Modified test cases in Streaming*JoinSuites where there are consecutive AddData actions.

tdas · 2018-02-21T11:14:42Z

 s"id = $id<br/>runId = $runId<br/>batch = $batchDescription"
 }
+
+ private[sql] def withProgressLocked(f: => Unit): Unit = {


TODO: Add docs.

tdas · 2018-02-21T11:18:36Z

 AddDataMemory(source, data)
 }

+ object MultiAddData {


TODO: add docs.

tdas · 2018-02-21T11:18:43Z

 s"ExpectFailure[${causeClass.getName}, isFatalError: $isFatalError]"
 }

+ case class StreamProgressLockedActions(actions: Seq[StreamAction], desc: String = null)


TODO: add docs.

SparkQA · 2018-02-21T13:38:48Z

Test build #87585 has finished for PR 20650 at commit b4c3c55.

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SparkQA · 2018-02-21T13:43:50Z

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SparkQA · 2018-02-21T13:46:14Z

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SparkQA · 2018-02-21T14:30:05Z

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SparkQA · 2018-02-21T14:33:39Z

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SparkQA · 2018-02-21T14:42:00Z

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SparkQA · 2018-02-21T14:42:10Z

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SparkQA · 2018-02-21T14:43:28Z

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SparkQA · 2018-02-21T14:43:41Z

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jose-torres · 2018-02-21T18:50:11Z

I'm not sure I agree with all the comments on the previous PR, but I agree that this also works.

As discussed, the downside to this approach is that people in the future can continue to write the same kind of flaky tests this PR fixes. Ideally I'd like to see some kind of story for how people will know they must use MultiAddData.

tdas · 2018-02-21T19:57:15Z

Yes, this is indeed a slight downside. Only time people should choose to use it if they want to add data in multiple sources that are to be visible in the batch. In our case, we need to add data in multiple sources in the same batch because we want to verify the number of state rows changed.

tdas · 2018-02-21T20:47:37Z

@zsxwing can you also take a look?

SparkQA · 2018-02-22T00:01:23Z

Test build #87596 has finished for PR 20650 at commit 7b78fa1.

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SparkQA · 2018-02-22T01:16:04Z

Test build #87597 has finished for PR 20650 at commit fdcf716.

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SparkQA · 2018-02-22T01:38:15Z

Test build #4119 has finished for PR 20650 at commit fdcf716.

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SparkQA · 2018-02-22T02:24:24Z

Test build #4116 has finished for PR 20650 at commit fdcf716.

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SparkQA · 2018-02-22T02:32:44Z

Test build #4125 has finished for PR 20650 at commit fdcf716.

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SparkQA · 2018-02-22T02:34:31Z

Test build #4121 has finished for PR 20650 at commit fdcf716.

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SparkQA · 2018-02-22T03:06:12Z

Test build #4120 has finished for PR 20650 at commit fdcf716.

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SparkQA · 2018-02-22T03:07:37Z

Test build #4117 has finished for PR 20650 at commit fdcf716.

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SparkQA · 2018-02-22T03:15:14Z

Test build #4124 has finished for PR 20650 at commit fdcf716.

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SparkQA · 2018-02-22T03:17:44Z

Test build #4118 has finished for PR 20650 at commit fdcf716.

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This patch adds no public classes.

SparkQA · 2018-02-22T03:45:24Z

Test build #4123 has finished for PR 20650 at commit fdcf716.

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SparkQA · 2018-02-22T04:10:20Z

Test build #4122 has finished for PR 20650 at commit fdcf716.

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tdas · 2018-02-22T20:50:29Z

All the failures above can be attributed to other flakiness unrelated to the flakiness this PR trying to address.

jose-torres · 2018-02-22T23:37:40Z

LGTM

zsxwing · 2018-02-23T18:59:26Z

lgtm

…

On Thu, Feb 22, 2018 at 3:38 PM Jose Torres ***@***.***> wrote: LGTM — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#20650 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AA9FSiW0uIGqfWt3RjsyoY2p7x_B-ClHks5tXfptgaJpZM4SNdOS> .

gatorsmile · 2018-12-21T23:21:36Z

The StreamingJoinSuite in Spark 2.3 are pretty flaky. Do you think we can backport this to 2.3?

dongjoon-hyun · 2018-12-22T20:37:05Z

+1 for @gatorsmile 's opinion. That will be very helpful if we can.

mgaido91 · 2018-12-22T21:29:41Z

+1 too, tests are too flaky

mgaido91 · 2019-01-04T19:49:49Z

any luck with this backport? Branch 2.3 is still very flaky (see #23450).

…*JoinSuite **The best way to review this PR is to ignore whitespace/indent changes. Use this link - https://github.com/apache/spark/pull/20650/files?w=1** The stream-stream join tests add data to multiple sources and expect it all to show up in the next batch. But there's a race condition; the new batch might trigger when only one of the AddData actions has been reached. Prior attempt to solve this issue by jose-torres in apache#20646 attempted to simultaneously synchronize on all memory sources together when consecutive AddData was found in the actions. However, this carries the risk of deadlock as well as unintended modification of stress tests (see the above PR for a detailed explanation). Instead, this PR attempts the following. - A new action called `StreamProgressBlockedActions` that allows multiple actions to be executed while the streaming query is blocked from making progress. This allows data to be added to multiple sources that are made visible simultaneously in the next batch. - An alias of `StreamProgressBlockedActions` called `MultiAddData` is explicitly used in the `Streaming*JoinSuites` to add data to two memory sources simultaneously. This should avoid unintentional modification of the stress tests (or any other test for that matter) while making sure that the flaky tests are deterministic. Modified test cases in `Streaming*JoinSuites` where there are consecutive `AddData` actions. Author: Tathagata Das <tathagata.das1565@gmail.com> Closesapache#20650 from tdas/SPARK-23408. NOTE: Modified a bit to cover DSv2 incompatibility between Spark 2.3 and 2.4 by Jungtaek Lim <kabhwan@gmail.com> * StreamingDataSourceV2Relation is a class for 2.3, whereas it is a case class for 2.4

…in Streaming*JoinSuite ## What changes were proposed in this pull request? **The best way to review this PR is to ignore whitespace/indent changes. Use this link - https://github.com/apache/spark/pull/20650/files?w=1** The stream-stream join tests add data to multiple sources and expect it all to show up in the next batch. But there's a race condition; the new batch might trigger when only one of the AddData actions has been reached. Prior attempt to solve this issue by jose-torres in #20646 attempted to simultaneously synchronize on all memory sources together when consecutive AddData was found in the actions. However, this carries the risk of deadlock as well as unintended modification of stress tests (see the above PR for a detailed explanation). Instead, this PR attempts the following. - A new action called `StreamProgressBlockedActions` that allows multiple actions to be executed while the streaming query is blocked from making progress. This allows data to be added to multiple sources that are made visible simultaneously in the next batch. - An alias of `StreamProgressBlockedActions` called `MultiAddData` is explicitly used in the `Streaming*JoinSuites` to add data to two memory sources simultaneously. This should avoid unintentional modification of the stress tests (or any other test for that matter) while making sure that the flaky tests are deterministic. NOTE: This patch is modified a bit from origin PR (#20650) to cover DSv2 incompatibility between Spark 2.3 and 2.4: StreamingDataSourceV2Relation is a class for 2.3, whereas it is a case class for 2.4 ## How was this patch tested? Modified test cases in `Streaming*JoinSuites` where there are consecutive `AddData` actions. Closes#23757 from HeartSaVioR/fix-streaming-join-test-flakiness-branch-2.3. Lead-authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan@gmail.com> Co-authored-by: Tathagata Das <tathagata.das1565@gmail.com> Signed-off-by: Sean Owen <sean.owen@databricks.com>

Fixed bug
b4c3c55

tdas commented Feb 21, 2018
View reviewed changes

Added docs
7b78fa1

Undo ContinuousExecution changes
fdcf716

asfgit closed this in 855ce13Feb 23, 2018

dongjoon-hyun mentioned this pull request Dec 22, 2018
[SPARK-26366][SQL][BACKPORT-2.3] ReplaceExceptWithFilter should consider NULL as False #23372
Closed

HeartSaVioR mentioned this pull request Feb 11, 2019
[SPARK-23408][SS][BRANCH-2.3] Synchronize successive AddData actions in Streaming*JoinSuite #23757
Closed

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