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Honor default fs name when initializing event logger. - #450
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AmplabJenkins
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Apr 19, 2014
Can one of the admins verify this patch? |
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FileSystem has a function to give you the default filesystem without you have to look at the configs directly:
public static URI getDefaultUri(Configuration conf)
pwendell
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Apr 22, 2014
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Jenkins, test this please |
AmplabJenkins
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Apr 22, 2014
Merged build triggered. |
AmplabJenkins
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Apr 22, 2014
Merged build started. |
AmplabJenkins
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Apr 22, 2014
Merged build finished. |
AmplabJenkins
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Apr 22, 2014
Refer to this link for build results: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/14319/ |
pwendell
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Apr 22, 2014
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The ordering of initialization in the DAGScheduler is very sensitive. Could this patch instead just move the Hadoop configuration up? |
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nit: style should be
private[spark] class EventLoggingListener(
appName: String,
...
extends ...
This is related to SPARK-1459 / PR apache#375. Without this fix, FileLogger.createLogDir() may try to create the log dir on HDFS, while createWriter() will try to open the log file on the local file system, leading to interesting errors and confusion.
andrewor14
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Apr 23, 2014
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Thanks for the changes @vanzin. I think the logic is much more straightforward now. This LGTM. |
pwendell
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Apr 23, 2014
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Jenkins, retest this please. |
AmplabJenkins
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Apr 23, 2014
Merged build triggered. |
AmplabJenkins
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Apr 23, 2014
Merged build started. |
AmplabJenkins
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Apr 23, 2014
Merged build finished. |
AmplabJenkins
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Apr 23, 2014
Refer to this link for build results: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/14378/ |
pwendell
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Apr 23, 2014
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Jenkins, retest this please. |
AmplabJenkins
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Apr 23, 2014
Merged build triggered. |
AmplabJenkins
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Apr 23, 2014
Merged build started. |
AmplabJenkins
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Apr 23, 2014
Merged build finished. All automated tests passed. |
AmplabJenkins
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Apr 23, 2014
All automated tests passed. |
pwendell
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Apr 23, 2014
Contributor
Thanks - merged this. |
asfgit pushed a commit
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Apr 23, 2014
This is related to SPARK-1459 / PR #375. Without this fix, FileLogger.createLogDir() may try to create the log dir on HDFS, while createWriter() will try to open the log file on the local file system, leading to interesting errors and confusion. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes#450 from vanzin/event-file-2 and squashes the following commits: 592cdb3 [Marcelo Vanzin] Honor default fs name when initializing event logger. (cherry picked from commit dd1b7a6) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
pwendell pushed a commit
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May 12, 2014
apache#450. Only run ResubmitFailedStages event after a fetch fails Previously, the ResubmitFailedStages event was called every 200 milliseconds, leading to a lot of unnecessary event processing and clogged DAGScheduler logs. Author: Kay Ousterhout <kayousterhout@gmail.com> == Merge branch commits == commit e603784b3a562980e6f1863845097effe2129d3b Author: Kay Ousterhout <kayousterhout@gmail.com> Date: Wed Feb 5 11:34:41 2014 -0800 Re-add check for empty set of failed stages commit d258f0ef50caff4bbb19fb95a6b82186db1935bf Author: Kay Ousterhout <kayousterhout@gmail.com> Date: Wed Jan 15 23:35:41 2014 -0800 Only run ResubmitFailedStages event after a fetch fails Previously, the ResubmitFailedStages event was called every 200 milliseconds, leading to a lot of unnecessary event processing and clogged DAGScheduler logs.
pdeyhim pushed a commit
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Jun 25, 2014
This is related to SPARK-1459 / PR apache#375. Without this fix, FileLogger.createLogDir() may try to create the log dir on HDFS, while createWriter() will try to open the log file on the local file system, leading to interesting errors and confusion. Author: Marcelo Vanzin <vanzin@cloudera.com> Closesapache#450 from vanzin/event-file-2 and squashes the following commits: 592cdb3 [Marcelo Vanzin] Honor default fs name when initializing event logger.
gzm55 pushed a commit
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Jul 17, 2014
apache#450. Only run ResubmitFailedStages event after a fetch fails Previously, the ResubmitFailedStages event was called every 200 milliseconds, leading to a lot of unnecessary event processing and clogged DAGScheduler logs. Author: Kay Ousterhout <kayousterhout@gmail.com> == Merge branch commits == commit e603784b3a562980e6f1863845097effe2129d3b Author: Kay Ousterhout <kayousterhout@gmail.com> Date: Wed Feb 5 11:34:41 2014 -0800 Re-add check for empty set of failed stages commit d258f0ef50caff4bbb19fb95a6b82186db1935bf Author: Kay Ousterhout <kayousterhout@gmail.com> Date: Wed Jan 15 23:35:41 2014 -0800 Only run ResubmitFailedStages event after a fetch fails Previously, the ResubmitFailedStages event was called every 200 milliseconds, leading to a lot of unnecessary event processing and clogged DAGScheduler logs. (cherry picked from commit 0b448df) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
andrewor14 pushed a commit
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Jan 8, 2015
apache#450. Only run ResubmitFailedStages event after a fetch fails Previously, the ResubmitFailedStages event was called every 200 milliseconds, leading to a lot of unnecessary event processing and clogged DAGScheduler logs. Author: Kay Ousterhout <kayousterhout@gmail.com> == Merge branch commits == commit e603784b3a562980e6f1863845097effe2129d3b Author: Kay Ousterhout <kayousterhout@gmail.com> Date: Wed Feb 5 11:34:41 2014 -0800 Re-add check for empty set of failed stages commit d258f0ef50caff4bbb19fb95a6b82186db1935bf Author: Kay Ousterhout <kayousterhout@gmail.com> Date: Wed Jan 15 23:35:41 2014 -0800 Only run ResubmitFailedStages event after a fetch fails Previously, the ResubmitFailedStages event was called every 200 milliseconds, leading to a lot of unnecessary event processing and clogged DAGScheduler logs. (cherry picked from commit 0b448df) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
dongjoon-hyun added a commit
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Jul 17, 2024
…pattern ### What changes were proposed in this pull request? This PR aims to redact `awsAccessKeyId` by including `accesskey` pattern. - **Apache Spark 4.0.0-preview1** There is no point to redact `fs.s3a.access.key` because the same value is exposed via `fs.s3.awsAccessKeyId` like the following. We need to redact all. ``` $ AWS_ACCESS_KEY_ID=A AWS_SECRET_ACCESS_KEY=B bin/spark-shell ```  ### Why are the changes needed? Since Apache Spark 1.1.0, `AWS_ACCESS_KEY_ID` is propagated like the following. However, Apache Spark does not redact them all consistently. - #450https://github.com/apache/spark/blob/5d16c3134c442a5546251fd7c42b1da9fdf3969e/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala#L481-L486 ### Does this PR introduce _any_ user-facing change? Users may see more redactions on configurations whose name contains `accesskey` case-insensitively. However, those configurations are highly likely to be related to the credentials. ### How was this patch tested? Pass the CIs with the newly added test cases. ### Was this patch authored or co-authored using generative AI tooling? No. Closes#47392 from dongjoon-hyun/SPARK-48930. Authored-by: Dongjoon Hyun <dhyun@apple.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
dongjoon-hyun added a commit
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Jul 17, 2024
…pattern ### What changes were proposed in this pull request? This PR aims to redact `awsAccessKeyId` by including `accesskey` pattern. - **Apache Spark 4.0.0-preview1** There is no point to redact `fs.s3a.access.key` because the same value is exposed via `fs.s3.awsAccessKeyId` like the following. We need to redact all. ``` $ AWS_ACCESS_KEY_ID=A AWS_SECRET_ACCESS_KEY=B bin/spark-shell ```  ### Why are the changes needed? Since Apache Spark 1.1.0, `AWS_ACCESS_KEY_ID` is propagated like the following. However, Apache Spark does not redact them all consistently. - #450https://github.com/apache/spark/blob/5d16c3134c442a5546251fd7c42b1da9fdf3969e/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala#L481-L486 ### Does this PR introduce _any_ user-facing change? Users may see more redactions on configurations whose name contains `accesskey` case-insensitively. However, those configurations are highly likely to be related to the credentials. ### How was this patch tested? Pass the CIs with the newly added test cases. ### Was this patch authored or co-authored using generative AI tooling? No. Closes#47392 from dongjoon-hyun/SPARK-48930. Authored-by: Dongjoon Hyun <dhyun@apple.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> (cherry picked from commit 1e17c39) Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
dongjoon-hyun added a commit
that referenced
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Jul 17, 2024
…pattern ### What changes were proposed in this pull request? This PR aims to redact `awsAccessKeyId` by including `accesskey` pattern. - **Apache Spark 4.0.0-preview1** There is no point to redact `fs.s3a.access.key` because the same value is exposed via `fs.s3.awsAccessKeyId` like the following. We need to redact all. ``` $ AWS_ACCESS_KEY_ID=A AWS_SECRET_ACCESS_KEY=B bin/spark-shell ```  ### Why are the changes needed? Since Apache Spark 1.1.0, `AWS_ACCESS_KEY_ID` is propagated like the following. However, Apache Spark does not redact them all consistently. - #450https://github.com/apache/spark/blob/5d16c3134c442a5546251fd7c42b1da9fdf3969e/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala#L481-L486 ### Does this PR introduce _any_ user-facing change? Users may see more redactions on configurations whose name contains `accesskey` case-insensitively. However, those configurations are highly likely to be related to the credentials. ### How was this patch tested? Pass the CIs with the newly added test cases. ### Was this patch authored or co-authored using generative AI tooling? No. Closes#47392 from dongjoon-hyun/SPARK-48930. Authored-by: Dongjoon Hyun <dhyun@apple.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> (cherry picked from commit 1e17c39) Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
jingz-db pushed a commit
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Jul 22, 2024
…pattern ### What changes were proposed in this pull request? This PR aims to redact `awsAccessKeyId` by including `accesskey` pattern. - **Apache Spark 4.0.0-preview1** There is no point to redact `fs.s3a.access.key` because the same value is exposed via `fs.s3.awsAccessKeyId` like the following. We need to redact all. ``` $ AWS_ACCESS_KEY_ID=A AWS_SECRET_ACCESS_KEY=B bin/spark-shell ```  ### Why are the changes needed? Since Apache Spark 1.1.0, `AWS_ACCESS_KEY_ID` is propagated like the following. However, Apache Spark does not redact them all consistently. - apache#450https://github.com/apache/spark/blob/5d16c3134c442a5546251fd7c42b1da9fdf3969e/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala#L481-L486 ### Does this PR introduce _any_ user-facing change? Users may see more redactions on configurations whose name contains `accesskey` case-insensitively. However, those configurations are highly likely to be related to the credentials. ### How was this patch tested? Pass the CIs with the newly added test cases. ### Was this patch authored or co-authored using generative AI tooling? No. Closesapache#47392 from dongjoon-hyun/SPARK-48930. Authored-by: Dongjoon Hyun <dhyun@apple.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
sunchao pushed a commit
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Mar 10, 2026
…pattern ### What changes were proposed in this pull request? This PR aims to redact `awsAccessKeyId` by including `accesskey` pattern. - **Apache Spark 4.0.0-preview1** There is no point to redact `fs.s3a.access.key` because the same value is exposed via `fs.s3.awsAccessKeyId` like the following. We need to redact all. ``` $ AWS_ACCESS_KEY_ID=A AWS_SECRET_ACCESS_KEY=B bin/spark-shell ```  ### Why are the changes needed? Since Apache Spark 1.1.0, `AWS_ACCESS_KEY_ID` is propagated like the following. However, Apache Spark does not redact them all consistently. - #450https://github.com/apache/spark/blob/5d16c3134c442a5546251fd7c42b1da9fdf3969e/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala#L481-L486 ### Does this PR introduce _any_ user-facing change? Users may see more redactions on configurations whose name contains `accesskey` case-insensitively. However, those configurations are highly likely to be related to the credentials. ### How was this patch tested? Pass the CIs with the newly added test cases. ### Was this patch authored or co-authored using generative AI tooling? No. Closes#47392 from dongjoon-hyun/SPARK-48930. Authored-by: Dongjoon Hyun <dhyun@apple.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> (cherry picked from commit 1e17c39) Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
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This is related to SPARK-1459 / PR #375. Without this fix,
FileLogger.createLogDir() may try to create the log dir on
HDFS, while createWriter() will try to open the log file on
the local file system, leading to interesting errors and
confusion.