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[GitHub] [spark] sunchao opened a new pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
sunchao opened a new pull request #30135:
URL: https://github.com/apache/spark/pull/30135
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### What changes were proposed in this pull request?
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This upgrade default Hadoop version from 3.2.1 to 3.3.0. The changes here are simply update the version number and dependency file.
### Why are the changes needed?
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[Hadoop 3.3.0](https://hadoop.apache.org/docs/r3.3.0/) was released a few months back, which comes with many client-side improvements such as for S3A/ABFS. These are important for users who want to use Spark in a cloud environment.
### Does this PR introduce _any_ user-facing change?
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No
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Existing tests.
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[GitHub] [spark] SparkQA commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-853595736
**[Test build #139275 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/139275/testReport)** for PR 30135 at commit [`547ccb0`](https://github.com/apache/spark/commit/547ccb0fb4094982ba4dfb44f53b69775624b50d).
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[GitHub] [spark] arghya18 commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
arghya18 commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-872701489
@dongjoon-hyun I was able to test my use case with Hadoop 3.3.1 and posted the result [HADOOP-17755](https://issues.apache.org/jira/browse/HADOOP-17755?focusedCommentId=17373213&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-17373213)
To my surprise the read is slower(with same resource and same config) in Hadoop 3.3.1 than Hadoop 3.2.0 without the mentioned issue. It is possible I am missing something.
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[GitHub] [spark] github-actions[bot] closed pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
Posted by GitBox <gi...@apache.org>.
github-actions[bot] closed pull request #30135:
URL: https://github.com/apache/spark/pull/30135
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[GitHub] [spark] dongjoon-hyun edited a comment on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun edited a comment on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-864466090
Hi, All. FYI,
From Apache Hadoop 3.3.1, we reverted HADOOP-16878 as the last commit on `branch-3.3.1`.
- https://github.com/apache/hadoop/commit/a3b9c37a397ad4188041dd80621bdeefc46885f2
However, Apache Spark Jenkins seems to hit a flakiness issue.
- https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-master-test-maven-hadoop-3.2/lastCompletedBuild/testReport/org.apache.spark.deploy.yarn/ClientSuite/distribute_jars_archive/history/
```
org.apache.hadoop.fs.PathOperationException:
`Source (file:/home/jenkins/workspace/spark-master-test-maven-hadoop-3.2/resource-managers/yarn/target/tmp/spark-703b8e99-63cc-4ba6-a9bc-25c7cae8f5f9/testJar9120517778809167117.jar) and destination (/home/jenkins/workspace/spark-master-test-maven-hadoop-3.2/resource-managers/yarn/target/tmp/spark-703b8e99-63cc-4ba6-a9bc-25c7cae8f5f9/testJar9120517778809167117.jar)
are equal in the copy command.': Operation not supported
```
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[GitHub] [spark] arghya18 commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
arghya18 commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-868187147
What's the latest on this? Any issue to use Hadoop 3.3.1 with Spark?
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[GitHub] [spark] gengliangwang commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
gengliangwang commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-894003073
@sunchao @dongjoon-hyun @steveloughran Are there any other known issues of Hadoop 3.3.1? Should we have this upgrade in Spark 3.2?
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[GitHub] [spark] sunchao commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
sunchao commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-894007146
I'm not aware of any issue at the moment - we've already been using this (although a slightly different internal Hadoop version) for a while now. @steveloughran can offer more inputs from Hadoop/S3 side.
Besides that, I wanted to add https://github.com/apache/spark/pull/33160 so that users can build Spark with an older version of Hadoop which do not support shaded client. If people feel this is a good addition I can try to push it to the finish line. I also wanted to add some user documentation on compiling Spark against different versions of Hadoop (besides the default one).
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-847220566
Yay! Thank you, @sunchao .
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[GitHub] [spark] sunchao commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
Posted by GitBox <gi...@apache.org>.
sunchao commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-771277246
This is staled because Spark can't use Hadoop 3.3.0 as it is (see HADOOP-16080). The work may be resumed once Hadoop 3.3.1 is released.
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[GitHub] [spark] sunchao commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
sunchao commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r639393055
##########
File path: pom.xml
##########
@@ -197,6 +197,7 @@
<maven-antrun.version>1.8</maven-antrun.version>
<commons-crypto.version>1.1.0</commons-crypto.version>
<commons-cli.version>1.2</commons-cli.version>
+ <bouncycastle.version>1.52</bouncycastle.version>
Review comment:
You're right - will change to `1.68`
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[GitHub] [spark] dbtsai commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
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dbtsai commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-847185787
Reopening this RP.
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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r639390795
##########
File path: pom.xml
##########
@@ -197,6 +197,7 @@
<maven-antrun.version>1.8</maven-antrun.version>
<commons-crypto.version>1.1.0</commons-crypto.version>
<commons-cli.version>1.2</commons-cli.version>
+ <bouncycastle.version>1.52</bouncycastle.version>
Review comment:
Although this is a test case, this looks like too old because it was released on Mar, 2015. Do we need to align with to Hadoop 3.3.1? Can we use the latest one `1.68`?
- https://mvnrepository.com/artifact/org.bouncycastle/bcprov-jdk15on
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And all the tests in jenkins are passing. This is weird ...
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[GitHub] [spark] dongjoon-hyun edited a comment on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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dongjoon-hyun edited a comment on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-864466090
Hi, All. FYI,
From Apache Hadoop 3.3.1, we reverted HADOOP-16878 as the last commit on `branch-3.3.1`.
- https://github.com/apache/hadoop/commit/a3b9c37a397ad4188041dd80621bdeefc46885f2
However, Apache Spark Jenkins seems to hit a flakiness issue.
- https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-master-test-maven-hadoop-3.2/lastCompletedBuild/testReport/org.apache.spark.deploy.yarn/ClientSuite/distribute_jars_archive/history/
```
org.apache.hadoop.fs.PathOperationException:
`Source (file:/home/jenkins/workspace/spark-master-test-maven-hadoop-3.2/resource-managers/yarn/target/tmp/spark-703b8e99-63cc-4ba6-a9bc-25c7cae8f5f9/testJar9120517778809167117.jar) and destination (/home/jenkins/workspace/spark-master-test-maven-hadoop-3.2/resource-managers/yarn/target/tmp/spark-703b8e99-63cc-4ba6-a9bc-25c7cae8f5f9/testJar9120517778809167117.jar)
are equal in the copy command.': Operation not supported
```
Please note that this is a flakiness. I'm investigating this.
cc @gengliangwang since he is the release manager for Apache Spark 3.2.0.
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[GitHub] [spark] sunchao edited a comment on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
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URL: https://github.com/apache/spark/pull/30135#issuecomment-714810305
Yeah it should work with Hadoop 3.2+ clusters since [Hadoop maintains wire compatibility across minor releases](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/AdminCompatibilityGuide.html). +1 on renaming this to hadoop-3 (and probably rename `hadoop-2.7` to `hadoop-2` as well).
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URL: https://github.com/apache/spark/pull/30135#issuecomment-847421158
**[Test build #138887 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/138887/testReport)** for PR 30135 at commit [`edcee70`](https://github.com/apache/spark/commit/edcee7021006b61e1470ad993fdf4d82a7f5470b).
* This patch **fails Spark unit tests**.
* This patch merges cleanly.
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[GitHub] [spark] sunchao commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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sunchao commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-854201334
@dongjoon-hyun interesting. This is related to https://issues.apache.org/jira/browse/HADOOP-16878, and I thought it's already reverted from RC3 so I reverted my earlier change of handling it in Spark code. Let me check later.
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github-actions[bot] commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-770492906
We're closing this PR because it hasn't been updated in a while. This isn't a judgement on the merit of the PR in any way. It's just a way of keeping the PR queue manageable.
If you'd like to revive this PR, please reopen it and ask a committer to remove the Stale tag!
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-854198489
Interesting. The same test fails in both Jenkins and GitHub Action. Is something changed at this new RC?
- `ClientSuite.distribute jars archive`
```
org.apache.hadoop.fs.PathOperationException: `Source (file:/home/jenkins/workspace/SparkPullRequestBuilder/target/tmp/spark-8a380e11-5074-471e-b9c8-f3f764e2c4e6/testJar948737110654121459.jar) and destination (/home/jenkins/workspace/SparkPullRequestBuilder/target/tmp/spark-8a380e11-5074-471e-b9c8-f3f764e2c4e6/testJar948737110654121459.jar) are equal in the copy command.': Operation not supported
```
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* This patch passes all tests.
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[GitHub] [spark] sunchao commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
sunchao commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r640115792
##########
File path: pom.xml
##########
@@ -197,6 +197,7 @@
<maven-antrun.version>1.8</maven-antrun.version>
<commons-crypto.version>1.1.0</commons-crypto.version>
<commons-cli.version>1.2</commons-cli.version>
+ <bouncycastle.version>1.52</bouncycastle.version>
Review comment:
Actually Hadoop is reverting the change in https://issues.apache.org/jira/browse/HADOOP-17563 so we'll need to wait a bit. cc @steveloughran .
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[GitHub] [spark] arghya18 commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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arghya18 commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-868289618
@dongjoon-hyun Thanks for your response. Yes I understand magic committer is not related, I just wanted to understand if I build Spark 3.1.1 with Hadoop 3.3.0/3.3.1 will the existing issues (SPARK-35831, SPARK-35868, SPARK-35878) to be merged will impact my use case? I am using s3a to read and write orc files or I have to wait for Spark 3.2.0 ?
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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r639390795
##########
File path: pom.xml
##########
@@ -197,6 +197,7 @@
<maven-antrun.version>1.8</maven-antrun.version>
<commons-crypto.version>1.1.0</commons-crypto.version>
<commons-cli.version>1.2</commons-cli.version>
+ <bouncycastle.version>1.52</bouncycastle.version>
Review comment:
Although this is a test dependency, this looks like too old because it was released on Mar, 2015. Do we need to align with to Hadoop 3.3.1? Can we use the latest one `1.68`?
- https://mvnrepository.com/artifact/org.bouncycastle/bcprov-jdk15on
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[GitHub] [spark] sunchao commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
Posted by GitBox <gi...@apache.org>.
sunchao commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-847162782
Sine Hadoop 3.3.1 RC1 is out, I'm going to revive this PR and test it here.
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[GitHub] [spark] steveloughran commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
steveloughran commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-859048545
> reverted from RC3 so I reverted my earlier change of handling it in Spark code. Let me check later.
maybe the build is picking up the old RC.
FWIW I'm surprised about this regression...add as much as you can to the test, as in "what is the test trying to do?". Gabor's patch is trying to stop "hadoop fs" copy command from copying a file onto itself, which can be, well, lossy, depending on the OS and things.
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-849931542
Thank you for updates, @sunchao !
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[GitHub] [spark] arghya18 commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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arghya18 commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-868195002
@dongjoon-hyun Thanks for the info. Actually we are having some major issue related to s3a [HADOOP-17755](https://issues.apache.org/jira/browse/HADOOP-17755) with orc which seems to be solved in Hadoop 3.3.0 for parquet but seems its a common issue . [HADOOP-16109](https://issues.apache.org/jira/browse/HADOOP-16109) . Currently we are working around it using fs.s3a.readahead.range": "1G" which is not a good idea.
I am using Spark on k8s and magic committer, so wanted to check if the above issues mentioned will impact me if I manually build Spark 3.1.1 with Hadoop 3.3.0/3.3.1?
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[GitHub] [spark] steveloughran commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
steveloughran commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r649517273
##########
File path: pom.xml
##########
@@ -197,6 +197,7 @@
<maven-antrun.version>1.8</maven-antrun.version>
<commons-crypto.version>1.1.0</commons-crypto.version>
<commons-cli.version>1.2</commons-cli.version>
+ <bouncycastle.version>1.52</bouncycastle.version>
Review comment:
we rolled back the latest bouncy castle update as some internal spark builds with some extra modules were failing as the asm JAR couldn't handle the changes. Tried to fiddle with the spark settings there to use an updated asm JAR and gave up
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-864469570
Since Apache Hadoop trunk has this behavior, I made a PR in order to be more robust on the underlying behavior difference.
- https://github.com/apache/spark/pull/32983
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[GitHub] [spark] sunchao commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
sunchao commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r639393055
##########
File path: pom.xml
##########
@@ -197,6 +197,7 @@
<maven-antrun.version>1.8</maven-antrun.version>
<commons-crypto.version>1.1.0</commons-crypto.version>
<commons-cli.version>1.2</commons-cli.version>
+ <bouncycastle.version>1.52</bouncycastle.version>
Review comment:
You're right, forgot to check the latest version used by Hadoop 3.3.1. Will change to `1.68`
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[GitHub] [spark] steveloughran commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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steveloughran commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-868530293
the parquet EOF fix is also in hadoop-3.2.2, so you could try that. However, testing with 3.3.1 is better because
1. we can do workarounds in spark before the release
2. we can fix hadoop branch-3.3;
3. any bug you file against hadoop 3.2.x will have "try with 3.3.1" as the initial respose
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sunchao commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-714769312
Yes the test failures are new. It seems to be related to #29843 but I'm not sure why I've never seen it before in all the previous runs.
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[GitHub] [spark] viirya commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
viirya commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r638157976
##########
File path: dev/deps/spark-deps-hadoop-3.2-hive-2.3
##########
@@ -58,9 +58,10 @@ flatbuffers-java/1.9.0//flatbuffers-java-1.9.0.jar
generex/1.0.2//generex-1.0.2.jar
gson/2.2.4//gson-2.2.4.jar
guava/14.0.1//guava-14.0.1.jar
-hadoop-client-api/3.2.2//hadoop-client-api-3.2.2.jar
-hadoop-client-runtime/3.2.2//hadoop-client-runtime-3.2.2.jar
-hadoop-yarn-server-web-proxy/3.2.2//hadoop-yarn-server-web-proxy-3.2.2.jar
+hadoop-client-api/3.3.1//hadoop-client-api-3.3.1.jar
+hadoop-client-runtime/3.3.1//hadoop-client-runtime-3.3.1.jar
+hadoop-shaded-guava/1.1.0//hadoop-shaded-guava-1.1.0.jar
Review comment:
nice!
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👍
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[GitHub] [spark] gengliangwang commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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gengliangwang commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-895330908
@steveloughran Thanks for the info!
@sunchao then let's finish #33160 and have it in 3.2. Thanks!
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steveloughran commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-859463610
> For the regression, don't know the full context behind the original change but seems like a good thing to do, although a boolean flag returned might be less disruptive IMO :). Either way it is a simple fix from Spark side.
we didn't think it was going to break things. a big issue is that in come cases the data was being destroyed. I think partly its cleanup code which attempts to delete the dest file on any form of failure, so any kind of transient problem and the shell overreacts by destroying the source.
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[GitHub] [spark] sunchao commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
sunchao commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r639392907
##########
File path: core/pom.xml
##########
@@ -413,6 +413,16 @@
<artifactId>hadoop-minikdc</artifactId>
<scope>test</scope>
</dependency>
+ <dependency>
+ <groupId>org.bouncycastle</groupId>
+ <artifactId>bcprov-jdk15on</artifactId>
+ <scope>test</scope>
+ </dependency>
+ <dependency>
+ <groupId>org.bouncycastle</groupId>
+ <artifactId>bcpkix-jdk15on</artifactId>
+ <scope>test</scope>
+ </dependency>
Review comment:
Oops forgot it. Yes I should put it under `hadoop-3.2`.
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
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Thank you for keeping working on this area.
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [WIP][SPARK-29250] Upgrade to Hadoop 3.3.0
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URL: https://github.com/apache/spark/pull/30135#issuecomment-714745096
BTW, thank you so much, @sunchao !
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
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dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-715572480
I retriggered GitHub Action once more.
@srowen and @sunchao . For renaming, shall we do in another PR because it will touch many scripts, too.
- `hadoop-3.2` -> `hadoop-3`
- `hadoop-2.7` -> `hadoop-2`.
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[GitHub] [spark] srowen commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
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srowen commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-714796700
What does it imply for compatibility with clusters? it works with Hadoop 3.2, earlier? we may need to rename the profile eventually to "hadoop-3" or something. Implicitly it's "Hadoop 3.2+"
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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r639390795
##########
File path: pom.xml
##########
@@ -197,6 +197,7 @@
<maven-antrun.version>1.8</maven-antrun.version>
<commons-crypto.version>1.1.0</commons-crypto.version>
<commons-cli.version>1.2</commons-cli.version>
+ <bouncycastle.version>1.52</bouncycastle.version>
Review comment:
Although this is a test case, this looks like too old because it's released on Mar, 2015. Do we need to align with to Hadoop 3.3.1? Can we use the latest one `1.68`?
- https://mvnrepository.com/artifact/org.bouncycastle/bcprov-jdk15on
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[GitHub] [spark] sunchao commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
sunchao commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r640197781
##########
File path: pom.xml
##########
@@ -197,6 +197,7 @@
<maven-antrun.version>1.8</maven-antrun.version>
<commons-crypto.version>1.1.0</commons-crypto.version>
<commons-cli.version>1.2</commons-cli.version>
+ <bouncycastle.version>1.52</bouncycastle.version>
Review comment:
bouncycastle was unshaded in https://issues.apache.org/jira/browse/HADOOP-15832. Reason is: "Leave bouncycastle unshaded because it's signed with a special Oracle certificate so it can be a custom JCE security provider"
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[GitHub] [spark] sunchao commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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sunchao commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-859061487
> maybe the build is picking up the old RC
Yes that's exactly what happened :)
For the regression, don't know the full context behind the original change but seems like a good thing to do, although a boolean flag returned might be less disruptive IMO :). Either way it is a simple fix from Spark side.
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[GitHub] [spark] steveloughran commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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steveloughran commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-895209346
known 3.3.1 regressions. Not AFAIK
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Kubernetes integration test unable to build dist.
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[GitHub] [spark] arghya18 commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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arghya18 commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-868536148
@steveloughran Thanks for the suggestion.
Can anyone help me with steps (or Dockerfile) to change hadoop version in prebuilt spark docker image with Hadoop if available handy for me to quickly progress else I will google, newbie in docker :)
Thanks a lot.
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Kubernetes integration test status failure
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [WIP][SPARK-29250] Upgrade to Hadoop 3.3.0
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-714744870
The failure seems to be relevant since they are YARN test suite.
```
Error: Error: Total 118, Failed 0, Errors 3, Passed 115, Canceled 1
Error: Error during tests:
Error: org.apache.spark.deploy.yarn.YarnClusterSuite
Error: org.apache.spark.deploy.yarn.YarnShuffleAuthSuite
Error: org.apache.spark.deploy.yarn.YarnShuffleIntegrationSuite
```
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[GitHub] [spark] sunchao commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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sunchao commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-847442685
Thanks @viirya . I was scratching my head on why this happened.
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[GitHub] [spark] arghya18 edited a comment on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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arghya18 edited a comment on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-872701489
@dongjoon-hyun @steveloughran I was able to test my use case with Hadoop 3.3.1 and posted the result [HADOOP-17755](https://issues.apache.org/jira/browse/HADOOP-17755?focusedCommentId=17373213&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-17373213)
To my surprise the read is slower(with same resource and same config) in Hadoop 3.3.1 than Hadoop 3.2.0 without the mentioned issue. It is possible I am missing something.
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [WIP][SPARK-29250] Upgrade to Hadoop 3.3.0
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dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-714783980
I retriggered GitHub Action. Let's see.
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[GitHub] [spark] gengliangwang commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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gengliangwang commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-864585303
@dongjoon-hyun Thanks for taking care of the error!
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[GitHub] [spark] sunchao edited a comment on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
sunchao edited a comment on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-894007146
I'm not aware of any issue at the moment - we've already been using this (although a slightly different internal Hadoop version) for a while now. @steveloughran can offer more inputs from Hadoop/S3 side.
Besides that, I wanted to add https://github.com/apache/spark/pull/33160 so that users can build Spark with older versions of Hadoop which do not support shaded client. If people feel this is useful I can try to push it to the finish line. I also wanted to add some user documentation on compiling Spark against different versions of Hadoop (besides the default one).
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[GitHub] [spark] dongjoon-hyun edited a comment on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun edited a comment on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-872736822
Oh, if you are using ORC, please try to bring SPARK-35783. It's irrelevant to this Hadoop topic, but it helps you reduce the traffic.
- https://github.com/apache/spark/pull/32923
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [WIP][SPARK-29250] Upgrade to Hadoop 3.3.0
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dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-714783706
Oh..
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[GitHub] [spark] steveloughran commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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steveloughran commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-868515080
@arghya18
1. we havent seen HADOOP-17755 in any of our testing, unless it is HADOOP-16109
2. still waiting on that JIRA for you to provide config details. Like I've said: no info, we close the JIRA.
> wanted to check if the above issues mentioned will impact me if I manually build Spark 3.1.1 with Hadoop 3.3.0/3.3.1?
well, what can anyone say? without info from you all we can say is WORKSFORME
The best thing you can do to help everyone is checkout and build with Hadoop 3.3.1 (which does contain a lot of changes related to the committers, including from @dongjoon-hyun), and see if the problem is still there.
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SparkQA commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-848209166
**[Test build #138938 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/138938/testReport)** for PR 30135 at commit [`263570c`](https://github.com/apache/spark/commit/263570c4b448e062e9b8454a9300ea4f7b0a9506).
* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] [spark] dongjoon-hyun edited a comment on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun edited a comment on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-864466090
Hi, All. FYI,
From Apache Hadoop 3.3.1, we reverted [HADOOP-16878](https://issues.apache.org/jira/browse/HADOOP-16878) as the last revert commit on `branch-3.3.1`.
- https://github.com/apache/hadoop/commit/a3b9c37a397ad4188041dd80621bdeefc46885f2
However, Apache Spark Jenkins seems to hit a flakiness issue.
- https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-master-test-maven-hadoop-3.2/lastCompletedBuild/testReport/org.apache.spark.deploy.yarn/ClientSuite/distribute_jars_archive/history/
```
org.apache.hadoop.fs.PathOperationException:
`Source (file:/home/jenkins/workspace/spark-master-test-maven-hadoop-3.2/resource-managers/yarn/target/tmp/spark-703b8e99-63cc-4ba6-a9bc-25c7cae8f5f9/testJar9120517778809167117.jar) and destination (/home/jenkins/workspace/spark-master-test-maven-hadoop-3.2/resource-managers/yarn/target/tmp/spark-703b8e99-63cc-4ba6-a9bc-25c7cae8f5f9/testJar9120517778809167117.jar)
are equal in the copy command.': Operation not supported
```
Please note that this is a flakiness. I'm investigating this.
cc @gengliangwang since he is the release manager for Apache Spark 3.2.0.
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[GitHub] [spark] sunchao commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
Posted by GitBox <gi...@apache.org>.
sunchao commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-714810305
Yeah it should work with Hadoop 3.2+ clusters since [Hadoop maintains wire compatibility across minor releases. ](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/AdminCompatibilityGuide.html). +1 on renaming this to hadoop-3 (and probably rename `hadoop-2.7` to `hadoop-2` as well).
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[GitHub] [spark] steveloughran commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
steveloughran commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-872974884
> To my surprise the read is slower(with same resource and same config) in Hadoop 3.3.1 than Hadoop 3.2.0 without the mentioned issue. It is possible I am missing something.
Shouldn't happen. really shouldn't happen. We do not see that on our TCP-DS Benchmarks.
The main way I could see this happening is if the seek policy hasn't switched to random on the first backwards seek. Explicitly set it.
```
spark.hadoop.fs.s3a.experimental.fadvise random
```
Hadoop 3.3.1 has a stats collection API (IOStatisics) for filesystems, streams, etc.
* call toString() on a stream to get its stats, inc #of bytes discarded in seeks, streams aborted
* do the same for the FS to get the aggregate stats.
high counts of bytes discarded and aborts are signs of bad seek policy.
set these two logs at debug and see what they say.
```
org.apache.hadoop.fs.s3a.S3AInputStream
org.apache.hadoop.fs.s3a.S3AStorageStatistics
```
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-771308098
Thank you for keeping working on this area.
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URL: https://github.com/apache/spark/pull/30135#issuecomment-847310474
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-714794421
This seems to hit `bouncycastle`.
```
$ build/sbt "yarn/testOnly *.YarnClusterSuite" -Pyarn -Phadoop-3.2
...
[info] YarnClusterSuite:
[info] org.apache.spark.deploy.yarn.YarnClusterSuite *** ABORTED *** (580 milliseconds)
[info] java.lang.NoClassDefFoundError: org/apache/hadoop/shaded/org/bouncycastle/operator/OperatorCreationException
```
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-868190212
We are preparing Apache Spark 3.2.0 with Hadoop 3.3.1, @arghya18 .
- SPARK-35831 is fixed.
- SPARK-35868 is also fixed.
- SPARK-35878 has the PR from @steveloughran , too.
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[GitHub] [spark] sunchao commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
sunchao commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r638151954
##########
File path: dev/deps/spark-deps-hadoop-3.2-hive-2.3
##########
@@ -58,9 +58,10 @@ flatbuffers-java/1.9.0//flatbuffers-java-1.9.0.jar
generex/1.0.2//generex-1.0.2.jar
gson/2.2.4//gson-2.2.4.jar
guava/14.0.1//guava-14.0.1.jar
-hadoop-client-api/3.2.2//hadoop-client-api-3.2.2.jar
-hadoop-client-runtime/3.2.2//hadoop-client-runtime-3.2.2.jar
-hadoop-yarn-server-web-proxy/3.2.2//hadoop-yarn-server-web-proxy-3.2.2.jar
+hadoop-client-api/3.3.1//hadoop-client-api-3.3.1.jar
+hadoop-client-runtime/3.3.1//hadoop-client-runtime-3.3.1.jar
+hadoop-shaded-guava/1.1.0//hadoop-shaded-guava-1.1.0.jar
Review comment:
Yes - Hadoop 3.3.1 has switched to shaded guava.
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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r638151514
##########
File path: dev/deps/spark-deps-hadoop-3.2-hive-2.3
##########
@@ -58,9 +58,10 @@ flatbuffers-java/1.9.0//flatbuffers-java-1.9.0.jar
generex/1.0.2//generex-1.0.2.jar
gson/2.2.4//gson-2.2.4.jar
guava/14.0.1//guava-14.0.1.jar
-hadoop-client-api/3.2.2//hadoop-client-api-3.2.2.jar
-hadoop-client-runtime/3.2.2//hadoop-client-runtime-3.2.2.jar
-hadoop-yarn-server-web-proxy/3.2.2//hadoop-yarn-server-web-proxy-3.2.2.jar
+hadoop-client-api/3.3.1//hadoop-client-api-3.3.1.jar
+hadoop-client-runtime/3.3.1//hadoop-client-runtime-3.3.1.jar
+hadoop-shaded-guava/1.1.0//hadoop-shaded-guava-1.1.0.jar
Review comment:
This is a new dependency?
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[GitHub] [spark] SparkQA commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-854935690
**[Test build #139342 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/139342/testReport)** for PR 30135 at commit [`c6f1802`](https://github.com/apache/spark/commit/c6f1802749b52aaac89301c23a083d4c21c562aa).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] [spark] arghya18 commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
arghya18 commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-872730959
@dongjoon-hyun Thanks.. I am testing more jobs for further statistics. BDW I am testing this on ORC.
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-872736822
Oh, if you are using ORC, please try to bring SPARK-35783. It's irrelevant to Hadoop, but it helps you reduce the traffic.
- https://github.com/apache/spark/pull/32923
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[GitHub] [spark] sunchao commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
sunchao commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r640208302
##########
File path: pom.xml
##########
@@ -197,6 +197,7 @@
<maven-antrun.version>1.8</maven-antrun.version>
<commons-crypto.version>1.1.0</commons-crypto.version>
<commons-cli.version>1.2</commons-cli.version>
+ <bouncycastle.version>1.52</bouncycastle.version>
Review comment:
To be clear, bouncycastle was also unshaded in Hadoop 3.2.2 which Spark currently use, but since https://issues.apache.org/jira/browse/YARN-8448 it becomes a runtime dependency for RM and therefore required by Spark tests (e.g., `MiniYARNCluster`).
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-894006737
+1 for backporting!
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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r639390101
##########
File path: core/pom.xml
##########
@@ -413,6 +413,16 @@
<artifactId>hadoop-minikdc</artifactId>
<scope>test</scope>
</dependency>
+ <dependency>
+ <groupId>org.bouncycastle</groupId>
+ <artifactId>bcprov-jdk15on</artifactId>
+ <scope>test</scope>
+ </dependency>
+ <dependency>
+ <groupId>org.bouncycastle</groupId>
+ <artifactId>bcpkix-jdk15on</artifactId>
+ <scope>test</scope>
+ </dependency>
Review comment:
Just a question. What happens for `hadoop-2.7` profile? Can we put this under `hadoop-3.2` profile?
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[GitHub] [spark] dongjoon-hyun edited a comment on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun edited a comment on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-864466090
Hi, All. FYI,
From Apache Hadoop 3.3.1, we reverted [HADOOP-16878](https://issues.apache.org/jira/browse/HADOOP-16878) as the last revert commit on `branch-3.3.1`.
- https://github.com/apache/hadoop/commit/a3b9c37a397ad4188041dd80621bdeefc46885f2
However, Apache Spark Jenkins seems to hit a flakiness issue.
- https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-master-test-maven-hadoop-3.2/lastCompletedBuild/testReport/org.apache.spark.deploy.yarn/ClientSuite/distribute_jars_archive/history/
```
org.apache.hadoop.fs.PathOperationException:
`Source (file:/home/jenkins/workspace/spark-master-test-maven-hadoop-3.2/resource-managers/yarn/target/tmp/spark-703b8e99-63cc-4ba6-a9bc-25c7cae8f5f9/testJar9120517778809167117.jar) and destination (/home/jenkins/workspace/spark-master-test-maven-hadoop-3.2/resource-managers/yarn/target/tmp/spark-703b8e99-63cc-4ba6-a9bc-25c7cae8f5f9/testJar9120517778809167117.jar)
are equal in the copy command.': Operation not supported
at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:403)
```
Please note that this is a flakiness and at the same time the error log is pointing `FileUtil.java:403` which is the code before reverting. I'm investigating this.
cc @gengliangwang since he is the release manager for Apache Spark 3.2.0.
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-872729358
Thank you for sharing, @arghya18 . It's interesting. The read statistic increase is also observed in my environment, but TPCDS 1TB on S3 parquet performance was faster for me. I'll keep tracking HADOOP-17755 together.
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[GitHub] [spark] sunchao commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
Posted by GitBox <gi...@apache.org>.
sunchao commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-771277246
This is staled because Spark can't use Hadoop 3.3.0 as it is (see HADOOP-16080). The work may be resumed once Hadoop 3.3.1 is released.
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[GitHub] [spark] dbtsai commented on a change in pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dbtsai commented on a change in pull request #30135:
URL: https://github.com/apache/spark/pull/30135#discussion_r640159422
##########
File path: pom.xml
##########
@@ -197,6 +197,7 @@
<maven-antrun.version>1.8</maven-antrun.version>
<commons-crypto.version>1.1.0</commons-crypto.version>
<commons-cli.version>1.2</commons-cli.version>
+ <bouncycastle.version>1.52</bouncycastle.version>
Review comment:
Wonder why hadoop doesn't shade bouncycastle?
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Kubernetes integration test status failure
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URL: https://github.com/apache/spark/pull/30135#issuecomment-850004475
**[Test build #139032 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/139032/testReport)** for PR 30135 at commit [`c56cb14`](https://github.com/apache/spark/commit/c56cb142414562c6caec8d4604dc3f6e7a8688a3).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-864466090
Hi, All. FYI,
From Apache Hadoop 3.3.1, we reverted HADOOP-16878 as the last commit on `branch-3.3.1`.
- https://github.com/apache/hadoop/commit/a3b9c37a397ad4188041dd80621bdeefc46885f2
However, Apache Spark Jenkins seems to hit a flakiness issue.
- https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-master-test-maven-hadoop-3.2/lastCompletedBuild/testReport/org.apache.spark.deploy.yarn/ClientSuite/distribute_jars_archive/history/
```
org.apache.hadoop.fs.PathOperationException: `Source (file:/home/jenkins/workspace/spark-master-test-maven-hadoop-3.2/resource-managers/yarn/target/tmp/spark-703b8e99-63cc-4ba6-a9bc-25c7cae8f5f9/testJar9120517778809167117.jar) and destination (/home/jenkins/workspace/spark-master-test-maven-hadoop-3.2/resource-managers/yarn/target/tmp/spark-703b8e99-63cc-4ba6-a9bc-25c7cae8f5f9/testJar9120517778809167117.jar) are equal in the copy command.': Operation not supported
```
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URL: https://github.com/apache/spark/pull/30135#issuecomment-848073474
**[Test build #138938 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/138938/testReport)** for PR 30135 at commit [`263570c`](https://github.com/apache/spark/commit/263570c4b448e062e9b8454a9300ea4f7b0a9506).
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[GitHub] [spark] sunchao commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
sunchao commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-854201334
@dongjoon-hyun interesting. This is related to https://issues.apache.org/jira/browse/HADOOP-16878, and I thought it's already reverted from RC3 so I reverted my earlier change of handling it in Spark code. Let me check later.
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[GitHub] [spark] viirya commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
viirya commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-847440186
We need to remove "Stale" label, otherwise the bot will close it. :)
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[GitHub] [spark] arghya18 commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
arghya18 commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-872763060
@dongjoon-hyun Ok.. I will do that but I thought read and time increase is impact of s3a implemented on Hadoop 3.3.1 as that changed only after I upgraded from Hadoop 3.2.0 to Hadoop 3.3.1
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-854198489
Interesting. The same test fails in both Jenkins and GitHub Action. Is something changed at this new RC?
- `ClientSuite.distribute jars archive`
```
org.apache.hadoop.fs.PathOperationException: `Source (file:/home/jenkins/workspace/SparkPullRequestBuilder/target/tmp/spark-8a380e11-5074-471e-b9c8-f3f764e2c4e6/testJar948737110654121459.jar) and destination (/home/jenkins/workspace/SparkPullRequestBuilder/target/tmp/spark-8a380e11-5074-471e-b9c8-f3f764e2c4e6/testJar948737110654121459.jar) are equal in the copy command.': Operation not supported
```
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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-868284598
Thank you for sharing, @arghya18 .
HADOOP-17755 sounds like read-side issue and Magic committer is write-side feature. I don't think they are related. If you hit a magic committer issue, please file a JIRA at Apache Hadoop community.
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Kubernetes integration test unable to build dist.
exiting with code: 1
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cc @srowen , @dbtsai
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**[Test build #139275 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/139275/testReport)** for PR 30135 at commit [`547ccb0`](https://github.com/apache/spark/commit/547ccb0fb4094982ba4dfb44f53b69775624b50d).
* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] [spark] sunchao commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.0
Posted by GitBox <gi...@apache.org>.
sunchao commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-847204081
@srowen Yes I think we can just document it for now. If the upgrade is successful, I'm inclined to make a new "hadoop-3" profile for the next release (3.2.0?) - probably will send an email to dev first to gather opinions on this.
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[GitHub] [spark] AmplabJenkins commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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[GitHub] [spark] AmplabJenkins commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1
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URL: https://github.com/apache/spark/pull/30135#issuecomment-847486841
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