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Apache Spark reassigned SPARK-38077:
Assignee: (was: Apache Spark)
> Spark 3.2.1 breaks binary compatibility with Spark
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Apache Spark reassigned SPARK-38077:
Assignee: Apache Spark
> Spark 3.2.1 breaks binary compatibility with Spark 3.2.0
>
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Apache Spark commented on SPARK-38077:
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User 'sunchao' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-37958?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17485047#comment-17485047
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Apache Spark commented on SPARK-37958:
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User 'yoda-mon' has created a pull request for this issue:
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Apache Spark reassigned SPARK-37958:
Assignee: (was: Apache Spark)
> Pyspark SparkContext.AddFile() does not respect
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Apache Spark reassigned SPARK-37958:
Assignee: Apache Spark
> Pyspark SparkContext.AddFile() does not respect
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Apache Spark commented on SPARK-37958:
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User 'yoda-mon' has created a pull request for this issue:
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Dongjoon Hyun updated SPARK-38081:
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Parent: (was: SPARK-33772)
Issue Type: Test (was: Sub-task)
> Support
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Kapil Singh commented on SPARK-37995:
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Hey folks, any input on this issue? [~hyukjin.kwon]
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Apache Spark commented on SPARK-38081:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark commented on SPARK-38081:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-38081:
Assignee: (was: Apache Spark)
> Support cloud-backend in K8s IT with SBT
>
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Apache Spark reassigned SPARK-38081:
Assignee: Apache Spark
> Support cloud-backend in K8s IT with SBT
>
Dongjoon Hyun created SPARK-38081:
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Summary: Support cloud-backend in K8s IT with SBT
Key: SPARK-38081
URL: https://issues.apache.org/jira/browse/SPARK-38081
Project: Spark
Issue Type:
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Leona Yoda commented on SPARK-37958:
This is probably default behavior not only on k8s or pyspark
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Dongjoon Hyun updated SPARK-38075:
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Fix Version/s: 3.1.3
> Hive script transform with order by and limit will return fake rows
>
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Rui Wang updated SPARK-38063:
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Description:
`split_part()` is a commonly supported function by other systems such as
Postgres and
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Rui Wang updated SPARK-38063:
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Description:
`split_part()` is a commonly supported function by other systems such as
Postgres and
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Rui Wang updated SPARK-38063:
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Description:
`split_part()` is a commonly supported function by other systems such as
Postgres and
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Apache Spark commented on SPARK-38075:
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User 'bersprockets' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-34183?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17484985#comment-17484985
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Anton Okolnychyi commented on SPARK-34183:
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I am sorry it took me a while to come back to this.
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Apache Spark commented on SPARK-34183:
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User 'aokolnychyi' has created a pull request for this
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Apache Spark commented on SPARK-34183:
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User 'aokolnychyi' has created a pull request for this
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Nadav Samet edited comment on SPARK-38077 at 1/31/22, 9:14 PM:
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I wasn't
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Nadav Samet commented on SPARK-38077:
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I wasn't aware that the policy allows for it, but I'd like to
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Apache Spark reassigned SPARK-38047:
Assignee: Apache Spark (was: Alex Holmes)
> Provide an option to only roll executors if
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Apache Spark reassigned SPARK-38047:
Assignee: Alex Holmes (was: Apache Spark)
> Provide an option to only roll executors if
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Apache Spark commented on SPARK-38047:
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User 'alexholmes' has created a pull request for this
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Chao Sun commented on SPARK-38077:
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BTW [~thesamet] it seems Spark only guarantees API compatibility,
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Apache Spark commented on SPARK-38080:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-38080:
Assignee: (was: Apache Spark)
> Flaky test: StreamingQueryManagerSuite:
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Apache Spark reassigned SPARK-38080:
Assignee: Apache Spark
> Flaky test: StreamingQueryManagerSuite: 'awaitAnyTermination
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Apache Spark commented on SPARK-38080:
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User 'zsxwing' has created a pull request for this issue:
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Shixiong Zhu updated SPARK-38080:
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Description:
{code:java}
[info] - awaitAnyTermination with timeout and resetTerminated ***
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Chao Sun commented on SPARK-38077:
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Sorry for breaking the binary compatibility. I wasn't aware that
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Dongjoon Hyun updated SPARK-38077:
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Affects Version/s: (was: 3.2.0)
> Spark 3.2.1 breaks binary compatibility with Spark
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Erik Krogen commented on SPARK-38062:
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Thanks for taking a look btw! Even if we don't agree on
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Erik Krogen commented on SPARK-38062:
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It still seems like a bug to me that the presence of a DNS
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Dongjoon Hyun commented on SPARK-38077:
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cc [~sunchao]
> Spark 3.2.1 breaks binary compatibility
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Shixiong Zhu updated SPARK-38080:
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Description:
{code:java}
[info] - awaitAnyTermination with timeout and resetTerminated ***
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Dongjoon Hyun resolved SPARK-38075.
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Fix Version/s: 3.3.0
3.2.2
Assignee: Bruce Robbins
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Dongjoon Hyun commented on SPARK-38062:
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I agree that you may think like that, but I don't think
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Dongjoon Hyun updated SPARK-38062:
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Affects Version/s: 3.3.0
(was: 3.1.1)
> FallbackStorage shouldn't
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Dongjoon Hyun updated SPARK-38062:
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Issue Type: Improvement (was: Bug)
> FallbackStorage shouldn't attempt to resolve arbitrary
Shixiong Zhu created SPARK-38080:
Summary: Flaky test: StreamingQueryManagerSuite:
'awaitAnyTermination with timeout and resetTerminated'
Key: SPARK-38080
URL: https://issues.apache.org/jira/browse/SPARK-38080
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https://issues.apache.org/jira/browse/SPARK-38079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ben updated SPARK-38079:
Description:
*The problem*
When you spark-submit to kubernetes in cluster-mode:
# Kubernetes creates the driver
Ben created SPARK-38079:
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Summary: Not waiting for configmap before starting driver
Key: SPARK-38079
URL: https://issues.apache.org/jira/browse/SPARK-38079
Project: Spark
Issue Type: Bug
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Erik Krogen edited comment on SPARK-38062 at 1/31/22, 5:33 PM:
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I think
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Erik Krogen commented on SPARK-38062:
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I think the issue I'm reporting is very similar to
krishna created SPARK-38078:
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Summary: Aggregation with Watermark in AppendMode is holding data
beyong water mark boundary.
Key: SPARK-38078
URL: https://issues.apache.org/jira/browse/SPARK-38078
Project:
Nadav Samet created SPARK-38077:
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Summary: Spark 3.2.1 breaks binary compatibility with Spark 3.2.0
Key: SPARK-38077
URL: https://issues.apache.org/jira/browse/SPARK-38077
Project: Spark
Issue
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Nadav Samet updated SPARK-38077:
Description:
[PR 35243|https://github.com/apache/spark/pull/35243] introduced a new
parameter to
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Apache Spark reassigned SPARK-37946:
Assignee: Apache Spark
> Use error classes in the execution errors related to partitions
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https://issues.apache.org/jira/browse/SPARK-37946?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-37946:
Assignee: (was: Apache Spark)
> Use error classes in the execution errors related to
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Apache Spark commented on SPARK-37946:
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User 'yutoacts' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-37946?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-37946:
Assignee: Apache Spark
> Use error classes in the execution errors related to partitions
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