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[SPARK-33669] Wrong error message from YARN application state monitor when sc.stop in yarn client mode #30617

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sqlwindspeaker
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What changes were proposed in this pull request?

This change make InterruptedIOException to be treated as InterruptedException when closing YarnClientSchedulerBackend, which doesn't log error with "YARN application has exited unexpectedly xxx"

Why are the changes needed?

For YarnClient mode, when stopping YarnClientSchedulerBackend, it first tries to interrupt Yarn application monitor thread. In MonitorThread.run() it catches InterruptedException to gracefully response to stopping request.

But client.monitorApplication method also throws InterruptedIOException when the hadoop rpc call is calling. In this case, MonitorThread will not know it is interrupted, a Yarn App failed is returned with "Failed to contact YARN for application xxxxx; YARN application has exited unexpectedly with state xxxxx" is logged with error level. which confuse user a lot.

Does this PR introduce any user-facing change?

Yes

How was this patch tested?

very simple patch, seems no need?

@github-actions github-actions bot added the YARN label Dec 5, 2020
@sqlwindspeaker sqlwindspeaker force-pushed the yarn-client-interrupt-monitor branch from 4e66e18 to 4cdad1b Compare December 5, 2020 12:06
@HyukjinKwon
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cc @tgravescs and @mridulm FYI

@tgravescs
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ok to test

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SparkQA commented Dec 7, 2020

Test build #132372 has finished for PR 30617 at commit 4cdad1b.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

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SparkQA commented Dec 7, 2020

Kubernetes integration test starting
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/36973/

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@mridulm mridulm left a comment

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Looks good to me, but will let @tgravescs take a look as well.

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SparkQA commented Dec 7, 2020

Kubernetes integration test status failure
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/36973/

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Kubernetes integration test status failure
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/36973/

seems not related with this patch

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changes look fine.

I assume you manually tested?

@sqlwindspeaker sqlwindspeaker force-pushed the yarn-client-interrupt-monitor branch from 4cdad1b to 57ea973 Compare December 9, 2020 01:46
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SparkQA commented Dec 9, 2020

Test build #132453 has finished for PR 30617 at commit 57ea973.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

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SparkQA commented Dec 9, 2020

Kubernetes integration test starting
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/37054/

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SparkQA commented Dec 9, 2020

Kubernetes integration test status failure
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/37054/

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changes look fine.

I assume you manually tested?

Yes,but not fully。
This issue consist of 2 parts: hadoop ipc will raise InterruptedIOException, and InterruptedIOException should be handled correctly.

I test part 2 by raising an InterruptedIOException in client.monitorApplication, but for part 1 I don't find a easy way to mock.

But I believe the error trace is enough to show it will raise InterruptedIOException.

@asfgit asfgit closed this in 48f93af Dec 9, 2020
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mridulm commented Dec 9, 2020

Thanks @sqlwindspeaker, merging to master and 3.1

asfgit pushed a commit that referenced this pull request Dec 9, 2020
… when sc.stop in yarn client mode

### What changes were proposed in this pull request?
This change make InterruptedIOException to be treated as InterruptedException when closing YarnClientSchedulerBackend, which doesn't log error with "YARN application has exited unexpectedly xxx"

### Why are the changes needed?
For YarnClient mode, when stopping YarnClientSchedulerBackend, it first tries to interrupt Yarn application monitor thread. In MonitorThread.run() it catches InterruptedException to gracefully response to stopping request.

But client.monitorApplication method also throws InterruptedIOException when the hadoop rpc call is calling. In this case, MonitorThread will not know it is interrupted, a Yarn App failed is returned with "Failed to contact YARN for application xxxxx;  YARN application has exited unexpectedly with state xxxxx" is logged with error level. which confuse user a lot.

### Does this PR introduce _any_ user-facing change?
Yes

### How was this patch tested?
very simple patch, seems no need?

Closes #30617 from sqlwindspeaker/yarn-client-interrupt-monitor.

Authored-by: suqilong <suqilong@qiyi.com>
Signed-off-by: Mridul Muralidharan <mridul<at>gmail.com>
(cherry picked from commit 48f93af)
Signed-off-by: Mridul Muralidharan <mridulatgmail.com>
@sqlwindspeaker sqlwindspeaker deleted the yarn-client-interrupt-monitor branch December 9, 2020 07:53
ahshahid added a commit to ahshahid/spark that referenced this pull request Dec 9, 2020
* [SPARK-33641][SQL][DOC][FOLLOW-UP] Add migration guide for CHAR VARCHAR types

### What changes were proposed in this pull request?

Add migration guide for CHAR VARCHAR types

### Why are the changes needed?

for migration

### Does this PR introduce _any_ user-facing change?

doc change

### How was this patch tested?

passing ci

Closes apache#30654 from yaooqinn/SPARK-33641-F.

Authored-by: Kent Yao <yaooqinn@hotmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>

* [SPARK-33669] Wrong error message from YARN application state monitor when sc.stop in yarn client mode

### What changes were proposed in this pull request?
This change make InterruptedIOException to be treated as InterruptedException when closing YarnClientSchedulerBackend, which doesn't log error with "YARN application has exited unexpectedly xxx"

### Why are the changes needed?
For YarnClient mode, when stopping YarnClientSchedulerBackend, it first tries to interrupt Yarn application monitor thread. In MonitorThread.run() it catches InterruptedException to gracefully response to stopping request.

But client.monitorApplication method also throws InterruptedIOException when the hadoop rpc call is calling. In this case, MonitorThread will not know it is interrupted, a Yarn App failed is returned with "Failed to contact YARN for application xxxxx;  YARN application has exited unexpectedly with state xxxxx" is logged with error level. which confuse user a lot.

### Does this PR introduce _any_ user-facing change?
Yes

### How was this patch tested?
very simple patch, seems no need?

Closes apache#30617 from sqlwindspeaker/yarn-client-interrupt-monitor.

Authored-by: suqilong <suqilong@qiyi.com>
Signed-off-by: Mridul Muralidharan <mridul<at>gmail.com>

* [SPARK-33655][SQL] Improve performance of processing FETCH_PRIOR

### What changes were proposed in this pull request?
Currently, when a client requests FETCH_PRIOR to Thriftserver, Thriftserver reiterates from the start position. Because Thriftserver caches a query result with an array when THRIFTSERVER_INCREMENTAL_COLLECT feature is off, FETCH_PRIOR can be implemented without reiterating the result. A trait FeatureIterator is added in order to separate the implementation for iterator and an array. Also, FeatureIterator supports moves cursor with absolute position, which will be useful for the implementation of FETCH_RELATIVE, FETCH_ABSOLUTE.

### Why are the changes needed?
For better performance of Thriftserver.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
FetchIteratorSuite

Closes apache#30600 from Dooyoung-Hwang/refactor_with_fetch_iterator.

Authored-by: Dooyoung Hwang <dooyoung.hwang@sk.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>

* [SPARK-33719][DOC] Add make_date/make_timestamp/make_interval into the doc of ANSI Compliance

### What changes were proposed in this pull request?

Add make_date/make_timestamp/make_interval into the doc of ANSI Compliance

### Why are the changes needed?

Users can know that these functions throw runtime exceptions under ANSI mode if the result is not valid.
### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Build doc and check it in browser:
![image](https://user-images.githubusercontent.com/1097932/101608930-34a79e80-39bb-11eb-9294-9d9b8c3f6faa.png)

Closes apache#30683 from gengliangwang/improveDoc.

Authored-by: Gengliang Wang <gengliang.wang@databricks.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>

* [SPARK-33071][SPARK-33536][SQL][FOLLOW-UP] Rename deniedMetadataKeys to nonInheritableMetadataKeys in Alias

### What changes were proposed in this pull request?

This PR is a followup of apache#30488. This PR proposes to rename `Alias.deniedMetadataKeys` to `Alias.nonInheritableMetadataKeys` to make it less confusing.

### Why are the changes needed?

To make it easier to maintain and read.

### Does this PR introduce _any_ user-facing change?

No. This is rather a code cleanup.

### How was this patch tested?

Ran the unittests written in the previous PR manually. Jenkins and GitHub Actions in this PR should also test them.

Closes apache#30682 from HyukjinKwon/SPARK-33071-SPARK-33536.

Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>

* [SPARK-33722][SQL] Handle DELETE in ReplaceNullWithFalseInPredicate

### What changes were proposed in this pull request?

This PR adds `DeleteFromTable` to supported plans in `ReplaceNullWithFalseInPredicate`.

### Why are the changes needed?

This change allows Spark to optimize delete conditions like we optimize filters.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

This PR extends the existing test cases to also cover `DeleteFromTable`.

Closes apache#30688 from aokolnychyi/spark-33722.

Authored-by: Anton Okolnychyi <aokolnychyi@apple.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>

Co-authored-by: Kent Yao <yaooqinn@hotmail.com>
Co-authored-by: suqilong <suqilong@qiyi.com>
Co-authored-by: Dooyoung Hwang <dooyoung.hwang@sk.com>
Co-authored-by: Gengliang Wang <gengliang.wang@databricks.com>
Co-authored-by: HyukjinKwon <gurwls223@apache.org>
Co-authored-by: Anton Okolnychyi <aokolnychyi@apple.com>
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6 participants