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angerszhu resolved SPARK-31334.
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Resolution: Fixed
> Use agg column in Having clause behave different with column type
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angerszhu updated SPARK-31663:
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Comment: was deleted
(was: cc [~dongjoon] [~XuanYuan]
Seems this problem a little like
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Weichen Xu reassigned SPARK-31668:
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Assignee: Weichen Xu
> Saving and loading HashingTF leads to hash function changed
>
Weichen Xu created SPARK-31668:
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Summary: Saving and loading HashingTF leads to hash function
changed
Key: SPARK-31668
URL: https://issues.apache.org/jira/browse/SPARK-31668
Project: Spark
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angerszhu commented on SPARK-31663:
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cc [~dongjoon] [~XuanYuan]
Seems this problem a little like
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Xiangrui Meng updated SPARK-31610:
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Issue Type: Bug (was: Improvement)
> Expose hashFunc property in HashingTF
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Xiangrui Meng updated SPARK-31610:
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Priority: Critical (was: Major)
> Expose hashFunc property in HashingTF
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Dongjoon Hyun resolved SPARK-31611.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28416
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Dongjoon Hyun reassigned SPARK-31611:
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Assignee: Manu Zhang
> Register NettyMemoryMetrics into Node Manager's metrics system
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Apache Spark commented on SPARK-31667:
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User 'huaxingao' has created a pull request for this issue:
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Apache Spark reassigned SPARK-31667:
Assignee: Apache Spark
> Python side flatten the result dataframe of
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Apache Spark commented on SPARK-31667:
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User 'huaxingao' has created a pull request for this issue:
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Apache Spark reassigned SPARK-31667:
Assignee: (was: Apache Spark)
> Python side flatten the result dataframe of
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Dongjoon Hyun commented on SPARK-31627:
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Thank you, [~sarutak] and [~hyukjin.kwon]. +1, too.
>
Huaxin Gao created SPARK-31667:
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Summary: Python side flatten the result dataframe of
ANOVATest/ChisqTest/FValueTest
Key: SPARK-31667
URL: https://issues.apache.org/jira/browse/SPARK-31667
Project:
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Stephen Hopper updated SPARK-31666:
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Description:
I'm trying to mount additional hostPath directories as seen in a couple of
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Stephen Hopper updated SPARK-31666:
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Description:
I'm trying to mount additional hostPath directories as seen in a couple of
Stephen Hopper created SPARK-31666:
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Summary: Cannot map hostPath volumes to container
Key: SPARK-31666
URL: https://issues.apache.org/jira/browse/SPARK-31666
Project: Spark
Issue Type: Bug
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Gengliang Wang commented on SPARK-30267:
Hi [~tashoyan],
could you provide a simple reproduce
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Arseniy Tashoyan reopened SPARK-30267:
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With Spark 3.0.0 preview 2, I have the following failure here:
{code:java}
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Apache Spark commented on SPARK-20732:
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User 'holdenk' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-29037?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17102837#comment-17102837
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Afroz Baig edited comment on SPARK-29037 at 5/8/20, 7:11 PM:
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Dongjoon Hyun updated SPARK-31663:
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Description:
Grouping sets with having clause returns the wrong result when the condition of
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Dongjoon Hyun commented on SPARK-31663:
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All 2.x versions are added into the affected versions.
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Apache Spark reassigned SPARK-31665:
Assignee: (was: Apache Spark)
> Test parquet dictionary encoding of random
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Dongjoon Hyun updated SPARK-31663:
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Affects Version/s: 2.0.2
2.1.3
> Grouping sets with having clause
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Apache Spark reassigned SPARK-31665:
Assignee: Apache Spark
> Test parquet dictionary encoding of random dates/timestamps
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Apache Spark commented on SPARK-31665:
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User 'MaxGekk' has created a pull request for this issue:
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Dongjoon Hyun updated SPARK-31663:
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Affects Version/s: (was: 2.4.4)
(was: 2.4.3)
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Dongjoon Hyun commented on SPARK-31663:
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Apache Spark 2.3.4 follows Hive syntaxes, but the result
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Dongjoon Hyun commented on SPARK-31663:
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Also, with a changed syntax, this is reproduced in older
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Afroz Baig commented on SPARK-29037:
spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version=2
Maxim Gekk created SPARK-31665:
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Summary: Test parquet dictionary encoding of random
dates/timestamps
Key: SPARK-31665
URL: https://issues.apache.org/jira/browse/SPARK-31665
Project: Spark
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Dongjoon Hyun commented on SPARK-31663:
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The issue is that `b` is interpreted differently in
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Dongjoon Hyun commented on SPARK-31663:
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I confirmed that this is a correctness issue since 2.4.0.
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Dongjoon Hyun updated SPARK-31663:
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Affects Version/s: 2.4.0
2.4.1
2.4.2
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Dongjoon Hyun updated SPARK-31663:
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Labels: correctness (was: )
> Grouping sets with having clause returns the wrong result
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Xiao Li resolved SPARK-31658.
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Fix Version/s: 3.0.0
Resolution: Fixed
> SQL UI doesn't show write commands of AQE plan
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Xiao Li reassigned SPARK-31658:
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Assignee: Manu Zhang
> SQL UI doesn't show write commands of AQE plan
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Apache Spark reassigned SPARK-31664:
Assignee: Apache Spark
> Race in YARN scheduler shutdown leads to uncaught
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Apache Spark reassigned SPARK-31664:
Assignee: (was: Apache Spark)
> Race in YARN scheduler shutdown leads to uncaught
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Apache Spark commented on SPARK-31664:
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User 'baohe-zhang' has created a pull request for this
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Burak Yavuz commented on SPARK-31640:
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Hi [~younggyuchun],
I'd take a look at how SHOW
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YoungGyu Chun commented on SPARK-31640:
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Hi [~brkyvz],
I am trying to sort out but I have a
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Yuanjian Li updated SPARK-31663:
Description:
Grouping sets with having clause returns the wrong result when the condition of
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Yuanjian Li updated SPARK-31663:
Description:
Grouping sets with having clause returns the wrong result when the condition of
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Yuanjian Li updated SPARK-31663:
Labels: (was: correct)
> Grouping sets with having clause returns the wrong result
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Ramesh commented on SPARK-31654:
[~roman_y] , [~Ankitraj]
It is working as expected ..
Yuanjian Li created SPARK-31663:
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Summary: Grouping sets with having clause returns the wrong result
Key: SPARK-31663
URL: https://issues.apache.org/jira/browse/SPARK-31663
Project: Spark
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Yuanjian Li updated SPARK-31663:
Labels: correct (was: )
> Grouping sets with having clause returns the wrong result
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Baohe Zhang created SPARK-31664:
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Summary: Race in YARN scheduler shutdown leads to uncaught
SparkException "Could not find CoarseGrainedScheduler"
Key: SPARK-31664
URL:
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https://issues.apache.org/jira/browse/SPARK-31470?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17102635#comment-17102635
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Yuming Wang commented on SPARK-31470:
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[~rakson] I'm not sure if it can be 100% accepted by
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Maxim Gekk updated SPARK-31662:
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Description:
Write dates with dictionary encoding enabled to parquet files:
{code:scala}
Welcome to
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Apache Spark commented on SPARK-31662:
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User 'MaxGekk' has created a pull request for this issue:
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Apache Spark reassigned SPARK-31662:
Assignee: (was: Apache Spark)
> Reading wrong dates from dictionary encoded columns
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Apache Spark reassigned SPARK-31662:
Assignee: Apache Spark
> Reading wrong dates from dictionary encoded columns in Parquet
Maxim Gekk created SPARK-31662:
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Summary: Reading wrong dates from dictionary encoded columns in
Parquet files
Key: SPARK-31662
URL: https://issues.apache.org/jira/browse/SPARK-31662
Project: Spark
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Ankit Raj Boudh commented on SPARK-31622:
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[~hyukjin.kwon], please confirm this then i will
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Xianjin YE commented on SPARK-24193:
I used `df.rdd.collect` intentionally to trigger the problem as
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Wenchen Fan commented on SPARK-24193:
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I think it's not a problem if you do `df.collect` instead of
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Rakesh Raushan commented on SPARK-31104:
[~hyukjin.kwon] We can mark this as resolved as this
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Rakesh Raushan commented on SPARK-31470:
If this is required by community and [~yumwang] has not
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Ankit Raj Boudh commented on SPARK-31654:
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[~roman_y], I will raise pr for this.
> sequence
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Ankit Raj Boudh commented on SPARK-31657:
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[~fpin], I will raise PR for this
> CSV Writer
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philipse commented on SPARK-31588:
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yes, the block size can be controlled in HDFS.i mean we just take
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Wenchen Fan resolved SPARK-30385.
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Fix Version/s: 3.1.0
Assignee: Kousuke Saruta
Resolution: Fixed
> WebUI
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linna shuang commented on SPARK-16951:
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In TPC-H test, we met performance issue of Q16, which used
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zhengruifeng resolved SPARK-31656.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28473
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Xianjin YE commented on SPARK-24193:
Hi, [~jinxing6...@126.com] [~cloud_fan] the fallback config has
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