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Michael commented on SPARK-32148:
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[~cloud_fan], yes the issue is with stream-stream joins. Stream-batch
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Hyukjin Kwon commented on SPARK-31693:
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[~shaneknapp] .. seems this popped up again ;(.
>
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Hyukjin Kwon reopened SPARK-31693:
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> Investigate AmpLab Jenkins server network issue
>
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https://issues.apache.org/jira/browse/SPARK-32136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-32136.
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Fix Version/s: 3.1.0
3.0.1
Resolution: Fixed
Issue resolved by pull
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Hyukjin Kwon reassigned SPARK-32136:
Assignee: L. C. Hsieh
> Spark producing incorrect groupBy results when key is a struct
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Apache Spark commented on SPARK-31976:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-31976:
Assignee: (was: Apache Spark)
> use MemoryUsage to control the size of block
>
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Apache Spark commented on SPARK-31976:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-31976:
Assignee: Apache Spark
> use MemoryUsage to control the size of block
>
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https://issues.apache.org/jira/browse/SPARK-31935?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149799#comment-17149799
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Apache Spark commented on SPARK-31935:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark commented on SPARK-31935:
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User 'cloud-fan' has created a pull request for this issue:
Ed Mitchell created SPARK-32151:
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Summary: Kafka does not allow Partition Rebalance Handling
Key: SPARK-32151
URL: https://issues.apache.org/jira/browse/SPARK-32151
Project: Spark
Issue Type:
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Ed Mitchell updated SPARK-32151:
Description:
When a consumer group rebalance occurs when the Spark driver is using the
Subscribe
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Wenchen Fan updated SPARK-32148:
Priority: Blocker (was: Major)
> LEFT JOIN generating non-deterministic and unexpected result
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Wenchen Fan commented on SPARK-32148:
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I assume this is for streaming join? I'm marking it as a
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Dongjoon Hyun resolved SPARK-29465.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28880
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Apache Spark commented on SPARK-30794:
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User 'warrenzhu25' has created a pull request for this
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Apache Spark reassigned SPARK-30794:
Assignee: (was: Apache Spark)
> Stage Level scheduling: Add ability to set off heap
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Apache Spark reassigned SPARK-30794:
Assignee: Apache Spark
> Stage Level scheduling: Add ability to set off heap memory
>
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Jungtaek Lim commented on SPARK-32148:
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Looking into it. Looks like a problem indeed (if then this
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Dongjoon Hyun reassigned SPARK-32130:
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Assignee: Maxim Gekk
> Spark 3.0 json load performance is unacceptable in comparison
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Dongjoon Hyun resolved SPARK-32130.
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Fix Version/s: 3.1.0
3.0.1
Resolution: Fixed
Issue resolved by
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Dongjoon Hyun updated SPARK-32026:
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Issue Type: Improvement (was: Task)
> Add PrometheusServletSuite
>
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Dongjoon Hyun updated SPARK-32026:
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Priority: Minor (was: Major)
> Add PrometheusServletSuite
> --
>
>
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Dongjoon Hyun updated SPARK-32026:
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Component/s: Tests
> Add PrometheusServletSuite
> --
>
>
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Dongjoon Hyun updated SPARK-32026:
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Affects Version/s: (was: 3.0.1)
3.1.0
> Add PrometheusServletSuite
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Dongjoon Hyun resolved SPARK-32026.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28865
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Dongjoon Hyun reassigned SPARK-32026:
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Assignee: Eren Avsarogullari
> Add PrometheusServletSuite
> --
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Apache Spark reassigned SPARK-30010:
Assignee: (was: Apache Spark)
> Remove deprecated SparkConf.setAll(Traversable)
>
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Apache Spark commented on SPARK-29292:
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User 'srowen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-30010:
Assignee: Apache Spark
> Remove deprecated SparkConf.setAll(Traversable)
>
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Apache Spark commented on SPARK-30010:
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User 'srowen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-29292:
Assignee: Sean R. Owen (was: Apache Spark)
> Fix internal usages of mutable collection
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Apache Spark reassigned SPARK-29292:
Assignee: Apache Spark (was: Sean R. Owen)
> Fix internal usages of mutable collection
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Apache Spark commented on SPARK-29292:
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User 'srowen' has created a pull request for this issue:
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Sean R. Owen resolved SPARK-30132.
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Resolution: Not A Problem
I confirmed that Scala 2.13.3 resolves this; no further action
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Apache Spark reassigned SPARK-31723:
Assignee: Apache Spark
> Flaky test: org.apache.spark.deploy.history.HistoryServerSuite
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Apache Spark reassigned SPARK-31723:
Assignee: (was: Apache Spark)
> Flaky test:
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Apache Spark commented on SPARK-31723:
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User 'warrenzhu25' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-32150?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-32150:
Assignee: William Hyun (was: Apache Spark)
> Upgrade to Zstd 1.4.5-4
>
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Apache Spark reassigned SPARK-32150:
Assignee: Apache Spark (was: William Hyun)
> Upgrade to Zstd 1.4.5-4
>
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Apache Spark commented on SPARK-32150:
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User 'williamhyun' has created a pull request for this
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William Hyun updated SPARK-32150:
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Description:
This issue aims to upgrade to Zstd 1.4.5-4
ZStd 1.4.5-4 fixes the following.
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William Hyun created SPARK-32150:
Summary: Upgrade to Zstd 1.4.5-4
Key: SPARK-32150
URL: https://issues.apache.org/jira/browse/SPARK-32150
Project: Spark
Issue Type: Improvement
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Dongjoon Hyun updated SPARK-32130:
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Target Version/s: 3.0.1
> Spark 3.0 json load performance is unacceptable in comparison of
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Apache Spark reassigned SPARK-32149:
Assignee: Apache Spark
> Improve file path name normalisation at block resolution within
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Apache Spark commented on SPARK-32149:
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User 'attilapiros' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-32010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149512#comment-17149512
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Apache Spark commented on SPARK-32010:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-32149:
Assignee: (was: Apache Spark)
> Improve file path name normalisation at block
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Apache Spark commented on SPARK-32010:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-32010:
Assignee: Hyukjin Kwon (was: Apache Spark)
> Thread leaks in pinned thread mode
>
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Apache Spark reassigned SPARK-32010:
Assignee: Apache Spark (was: Hyukjin Kwon)
> Thread leaks in pinned thread mode
>
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https://issues.apache.org/jira/browse/SPARK-32121?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149506#comment-17149506
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Apache Spark commented on SPARK-32121:
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User 'attilapiros' has created a pull request for this
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Attila Zsolt Piros updated SPARK-32149:
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Affects Version/s: (was: 3.0.1)
3.1.0
> Improve file
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Gabor Somogyi commented on SPARK-30037:
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What use-case justifies the need to create a maybe
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Attila Zsolt Piros commented on SPARK-32149:
I am working on this
> Improve file path name
Attila Zsolt Piros created SPARK-32149:
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Summary: Improve file path name normalisation at block resolution
within the external shuffle service
Key: SPARK-32149
URL:
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https://issues.apache.org/jira/browse/SPARK-23631?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean R. Owen resolved SPARK-23631.
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Fix Version/s: 3.1.0
Resolution: Fixed
Resolved by
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Sean R. Owen updated SPARK-23631:
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Priority: Minor (was: Major)
> Add summary to RandomForestClassificationModel
>
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Sean R. Owen reassigned SPARK-23631:
Assignee: Huaxin Gao
> Add summary to RandomForestClassificationModel
>
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Sean R. Owen reopened SPARK-23631:
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> Add summary to RandomForestClassificationModel
> --
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https://issues.apache.org/jira/browse/SPARK-32029?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ulysses you updated SPARK-32029:
Summary: Check spark context is stoped when get active session (was: Check
active session if
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Michael updated SPARK-32148:
Description:
When upgrading from Spark 2.4.6 to 3.0.0 I found that previously working LEFT
JOINs now
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ulysses you updated SPARK-32029:
Summary: Check active session if spark context is stop (was: Make
activeSession null when
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Shankar Koirala resolved SPARK-32147.
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Resolution: Not A Problem
> Spark: PartitionBy changing the columns value
>
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Lantao Jin commented on SPARK-32147:
set spark.sql.sources.partitionColumnTypeInference.enabled to
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Michael updated SPARK-32148:
Description:
When upgrading from Spark 2.4.6 to 3.0.0 I found that previously working LEFT
JOINs now
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https://issues.apache.org/jira/browse/SPARK-32148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael updated SPARK-32148:
Description:
When upgrading from Spark 2.4.6 to 3.0.0 I found that previously working LEFT
JOINs now
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https://issues.apache.org/jira/browse/SPARK-32148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael updated SPARK-32148:
Description:
When upgrading from Spark 2.4.6 to 3.0.0 I found that previously working LEFT
JOINs now
Michael created SPARK-32148:
---
Summary: LEFT JOIN generating non-deterministic and unexpected
result (regression in Spark 3.0)
Key: SPARK-32148
URL: https://issues.apache.org/jira/browse/SPARK-32148
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Wenchen Fan reassigned SPARK-28169:
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Assignee: angerszhu
> Spark can’t push down partition predicate for OR expression
>
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Wenchen Fan resolved SPARK-28169.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28805
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Apache Spark commented on SPARK-32130:
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User 'MaxGekk' has created a pull request for this issue:
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Apache Spark commented on SPARK-32130:
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User 'MaxGekk' has created a pull request for this issue:
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Apache Spark reassigned SPARK-32130:
Assignee: Apache Spark
> Spark 3.0 json load performance is unacceptable in comparison
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Apache Spark reassigned SPARK-32130:
Assignee: (was: Apache Spark)
> Spark 3.0 json load performance is unacceptable in
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https://issues.apache.org/jira/browse/SPARK-32132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149337#comment-17149337
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Hyukjin Kwon commented on SPARK-32132:
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Thanks [~juliuszsompolski].
> Thriftserver interval
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Prashant Sharma updated SPARK-30985:
Description:
SPARK_CONF_DIR hosts configuration files like,
1) spark-defaults.conf -
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Prashant Sharma updated SPARK-30985:
Description:
SPARK_CONF_DIR hosts configuration files like,
1) spark-defaults.conf -
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Hyukjin Kwon commented on SPARK-32130:
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Yeah, we can disable it back by default considering the
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Hyukjin Kwon commented on SPARK-32027:
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[~yumwang] can you write down more details if you're not
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Shankar Koirala updated SPARK-32147:
Labels: spark (was: )
> Spark: PartitionBy changing the columns value
>
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https://issues.apache.org/jira/browse/SPARK-31846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149270#comment-17149270
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jiaan.geng commented on SPARK-31846:
According discussion between wuyi and me. It's not worth to do
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jiaan.geng commented on SPARK-31844:
According discussion between [~Ngone51] and me. It's not worth
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https://issues.apache.org/jira/browse/SPARK-31842?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149265#comment-17149265
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jiaan.geng commented on SPARK-31842:
According discussion between [~Ngone51] and me. It's not worth
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https://issues.apache.org/jira/browse/SPARK-32130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149263#comment-17149263
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Bart Samwel commented on SPARK-32130:
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+1 to what [~cloud_fan] said. We should just keep the default
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Wenchen Fan commented on SPARK-32130:
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I'm not sure about 1. It's good to have but not necessary to
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https://issues.apache.org/jira/browse/SPARK-32130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149235#comment-17149235
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Maxim Gekk commented on SPARK-32130:
I would like to propose:
# Add the SQL config
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https://issues.apache.org/jira/browse/SPARK-30037?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149226#comment-17149226
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angerszhu commented on SPARK-30037:
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These days I will work on this
> Customize krb5.conf to test
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https://issues.apache.org/jira/browse/SPARK-32130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149225#comment-17149225
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Wenchen Fan commented on SPARK-32130:
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Even in Spark 2.4, the type inference takes much more time
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https://issues.apache.org/jira/browse/SPARK-32132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-32132.
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Resolution: Not A Problem
> Thriftserver interval returns "4 weeks 2 days" in 2.4 and "30 days"
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https://issues.apache.org/jira/browse/SPARK-32146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LoicH updated SPARK-32146:
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Description:
I have a PipelineModel saved on my computer that I can't load using
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https://issues.apache.org/jira/browse/SPARK-5594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149212#comment-17149212
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Jdub edited comment on SPARK-5594 at 7/1/20, 8:28 AM:
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If this can help, I had the
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https://issues.apache.org/jira/browse/SPARK-5594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17149212#comment-17149212
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Jdub commented on SPARK-5594:
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If this can help, I had the same error, but in a Firewalled environment where
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LoicH updated SPARK-32146:
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Description:
I have a PipelineModel saved on my computer that I can't load using
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https://issues.apache.org/jira/browse/SPARK-32146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LoicH updated SPARK-32146:
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Description:
I have a PipelineModel saved on my computer that I can't load using
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https://issues.apache.org/jira/browse/SPARK-32147?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shankar Koirala updated SPARK-32147:
Description:
While saving dataframe as parquet or csv with partitionBy column having 'f'
Shankar Koirala created SPARK-32147:
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Summary: Spark: PartitionBy changing the columns value
Key: SPARK-32147
URL: https://issues.apache.org/jira/browse/SPARK-32147
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-32146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LoicH updated SPARK-32146:
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Description:
I have a PipelineModel saved on my computer that I can't load using
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https://issues.apache.org/jira/browse/SPARK-32146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LoicH updated SPARK-32146:
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Description:
I have a PipelineModel saved on my computer that I can't load using
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