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Attila Zsolt Piros updated SPARK-40617:
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Description:
{noformat}
22/09/29 09:46:24 ERROR SparkUncaughtExceptionHandler:
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Attila Zsolt Piros updated SPARK-40617:
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Description:
{noformat}
22/09/29 09:46:24 ERROR SparkUncaughtExceptionHandler:
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Attila Zsolt Piros reassigned SPARK-40617:
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Assignee: Attila Zsolt Piros
> Assertion failed in ExecutorMetricsPoller
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Attila Zsolt Piros edited comment on SPARK-34779 at 9/29/22 10:05 PM:
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Attila Zsolt Piros edited comment on SPARK-34779 at 9/29/22 10:05 PM:
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Attila Zsolt Piros updated SPARK-40617:
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Description:
Spurious failures because of the assert:
{noformat}
22/09/29 09:46:24
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Attila Zsolt Piros commented on SPARK-34779:
[~praetp]
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Attila Zsolt Piros updated SPARK-40617:
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Description:
Spurious failures regarding the assert:
{noformat}
22/09/29 09:46:24
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Attila Zsolt Piros updated SPARK-40617:
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Description:
Spurious failures beacuse of the assert:
{noformat}
22/09/29 09:46:24
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Attila Zsolt Piros commented on SPARK-34779:
[~praetp] I have opened a new Jira and soon PR:
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Attila Zsolt Piros commented on SPARK-34779:
[~praetp] I have a working theory but an
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Attila Zsolt Piros updated SPARK-40617:
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Fix Version/s: 3.2.0
> Assertion failed in ExecutorMetricsPoller "task count
Attila Zsolt Piros created SPARK-40612:
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Summary: On Kubernetes for long running app Spark using an invalid
principal to renew the delegation token
Key: SPARK-40612
URL:
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Attila Zsolt Piros commented on SPARK-34779:
[~praetp] I managed to reproduce it in a unit
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Attila Zsolt Piros resolved SPARK-40617.
Fix Version/s: 3.4.0
3.3.1
Resolution: Fixed
Issue
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Attila Zsolt Piros updated SPARK-40039:
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Summary: Introducing a streaming checkpoint file manager based on Hadoop's
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Attila Zsolt Piros commented on SPARK-40039:
I am working on this.
> Introducing checkpoint
Attila Zsolt Piros created SPARK-40039:
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Summary: Introducing checkpoint file manager based on Hadoop's
Abortable interface
Key: SPARK-40039
URL: https://issues.apache.org/jira/browse/SPARK-40039
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Attila Zsolt Piros reassigned SPARK-35084:
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Assignee: Attila Zsolt Piros
> [k8s] On Spark 3, jars listed in spark.jars
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Attila Zsolt Piros resolved SPARK-35084.
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request
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Attila Zsolt Piros reassigned SPARK-35084:
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Assignee: (was: Attila Zsolt Piros)
> [k8s] On Spark 3, jars listed in
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Attila Zsolt Piros reassigned SPARK-35084:
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Assignee: Keunhyun Oh
> [k8s] On Spark 3, jars listed in spark.jars and
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Attila Zsolt Piros updated SPARK-42219:
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Description:
We run into an error after an upgrade from Spark 3.1 to Spark 3.2
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Attila Zsolt Piros reassigned SPARK-42219:
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Assignee: Attila Zsolt Piros
> Make "SPARK-34674: Close SparkContext after
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Attila Zsolt Piros updated SPARK-42219:
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Description:
We run into an error after an upgrade from Spark 3.1 to Spark 3.2
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Attila Zsolt Piros commented on SPARK-42219:
I will open a PR regarding this
> Make
Attila Zsolt Piros created SPARK-42219:
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Summary: Make "SPARK-34674: Close SparkContext after the Main
method has finished" configurable
Key: SPARK-42219
URL:
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Attila Zsolt Piros commented on SPARK-29683:
[~srowen] I think we can close this as this
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Attila Zsolt Piros edited comment on SPARK-42068 at 1/31/23 9:10 PM:
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Attila Zsolt Piros edited comment on SPARK-42068 at 1/31/23 9:09 PM:
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Attila Zsolt Piros edited comment on SPARK-42068 at 1/31/23 9:08 PM:
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Attila Zsolt Piros edited comment on SPARK-42068 at 1/31/23 9:40 PM:
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Attila Zsolt Piros closed SPARK-42068.
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Assignee: Attila Zsolt Piros
> Implicit conversion is not working with
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Attila Zsolt Piros resolved SPARK-42068.
Resolution: Workaround
Resolving this issue as a workaround exits by using a
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Attila Zsolt Piros edited comment on SPARK-42068 at 1/31/23 9:42 PM:
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Attila Zsolt Piros commented on SPARK-42068:
This issue is because of JDK bugfix
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Attila Zsolt Piros edited comment on SPARK-42068 at 1/31/23 9:39 PM:
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Attila Zsolt Piros resolved SPARK-44198.
Fix Version/s: 4.0.0
Assignee: Vinod KC
Resolution: Fixed
Issue
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Attila Zsolt Piros commented on SPARK-44717:
cc [~itholic] [~gurwls223]
>
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Attila Zsolt Piros updated SPARK-44717:
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Description:
Use one of the existing test:
- "11H" case of test_dataframe_resample
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Attila Zsolt Piros updated SPARK-44717:
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Description:
Use one of the existing test:
- "11H" case of test_dataframe_resample
Attila Zsolt Piros created SPARK-44717:
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Summary: "pyspark.pandas.resample" is incorrect when DST is
overlapped and setting "spark.sql.timestampType" to TIMESTAMP_NTZ does not
applied
Key: SPARK-44717
URL:
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Attila Zsolt Piros updated SPARK-44717:
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Description:
Use one of the existing test:
- "11H" case of test_dataframe_resample
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Attila Zsolt Piros updated SPARK-44717:
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Summary: "pyspark.pandas.resample" is incorrect when DST is overlapped and
setting
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Attila Zsolt Piros commented on SPARK-44717:
The TIMESTAMP_NTZ would work for sure.
Here is
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Attila Zsolt Piros edited comment on SPARK-44717 at 8/8/23 8:56 AM:
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Attila Zsolt Piros updated SPARK-44253:
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Description:
If the user registers a temporary view from a dataframe created by
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Attila Zsolt Piros updated SPARK-44253:
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Attachment: 1.png
> Potential memory leak when temp views created from DF created
Attila Zsolt Piros created SPARK-44253:
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Summary: Potential memory leak when temp views created from DF
created by structured streaming
Key: SPARK-44253
URL: https://issues.apache.org/jira/browse/SPARK-44253
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Attila Zsolt Piros updated SPARK-44253:
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Description:
If the user registers a temporary view from a dataframe created by
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Attila Zsolt Piros updated SPARK-44253:
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Attachment: 2.png
> Potential memory leak when temp views created from DF created
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Attila Zsolt Piros updated SPARK-44253:
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Description:
If the user registers a temporary view from a dataframe created by
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