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Hyukjin Kwon commented on SPARK-28735:
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Let me take a look tomorrow in KST.
>
holdenk created SPARK-28740:
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Summary: Add support for building with bloop
Key: SPARK-28740
URL: https://issues.apache.org/jira/browse/SPARK-28740
Project: Spark
Issue Type: Improvement
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Wenchen Fan resolved SPARK-28666.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25402
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Wenchen Fan reassigned SPARK-28666:
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Assignee: Burak Yavuz
> Support the V2SessionCatalog in saveAsTable
>
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Wenchen Fan reassigned SPARK-28351:
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Assignee: Xianyin Xin
> Support DELETE in DataSource V2
> ---
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Wenchen Fan resolved SPARK-28351.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25115
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Hyukjin Kwon resolved SPARK-28203.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25002
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Hyukjin Kwon reassigned SPARK-28203:
Assignee: Xianjin YE
> PythonRDD should respect SparkContext's conf when passing user
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Dongjoon Hyun updated SPARK-28723:
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Parent Issue: SPARK-28684 (was: SPARK-24417)
> Upgrade to Hive 2.3.6 for HiveMetastore
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Dongjoon Hyun updated SPARK-28710:
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Description:
{code}
0: jdbc:hive2://10.18.19.208:23040/default> create function addDoubles
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Dongjoon Hyun commented on SPARK-28710:
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Thank you for reporting this, [~abhishek.akg].
Thank you
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Joseph Cooper edited comment on SPARK-28738 at 8/14/19 10:43 PM:
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I
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Joseph Cooper updated SPARK-28738:
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Description:
It is possible to commit metadata with an offset to Kafka. Currently, the
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Dongjoon Hyun resolved SPARK-28110.
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Resolution: Duplicate
> on JDK11, IsolatedClientLoader must be able to load java.sql
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Dongjoon Hyun commented on SPARK-28110:
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Yes, it does. Although SPARK-28723 provides a solution
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Dongjoon Hyun commented on SPARK-28701:
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Thanks, [~shaneknapp]! :D
> add java11 support for spark
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Joseph Cooper edited comment on SPARK-28738 at 8/14/19 9:52 PM:
I think
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Joseph Cooper edited comment on SPARK-28738 at 8/14/19 9:42 PM:
I think
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Franck Tago reopened SPARK-23519:
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Ok Spark Community
I am sorry for being a pest about this , but I re-opening this Jira because I
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Joseph Cooper commented on SPARK-28738:
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I think I see why commitAsync might not support this.
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Dongjoon Hyun commented on SPARK-28728:
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[~Fokko].
Thank you for making a JIRA and PR, but Apache
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Dongjoon Hyun updated SPARK-28728:
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Fix Version/s: (was: 2.4.4)
(was: 3.0.0)
> Bump Jackson Databind
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Patrick Clay resolved SPARK-28721.
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Resolution: Duplicate
Ah sorry I didn't search carefully enough for a duplicate
> Failing to
Joseph Cooper created SPARK-28738:
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Summary: Add ability to include metadata in CanCommitOffsets API
Key: SPARK-28738
URL: https://issues.apache.org/jira/browse/SPARK-28738
Project: Spark
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Dongjoon Hyun updated SPARK-28683:
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Issue Type: Improvement (was: Sub-task)
Parent: (was: SPARK-24417)
> Upgrade
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Dongjoon Hyun commented on SPARK-28683:
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I got it. Yes. This is a nice-to-have. I'll put this out
Sean Owen created SPARK-28737:
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Summary: Update jersey to 2.27+ (2.29)
Key: SPARK-28737
URL: https://issues.apache.org/jira/browse/SPARK-28737
Project: Spark
Issue Type: Sub-task
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Sean Owen commented on SPARK-28683:
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I think we can detach this from the JDK 11 umbrella. This doesn't
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Sean Owen commented on SPARK-28110:
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Is this one still an issue? I think this is a clone of an older
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Dongjoon Hyun updated SPARK-28736:
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Description:
Build Spark and run PySpark UT with JDK11.
{code}
$ build/sbt -Phadoop-3.2
Dongjoon Hyun created SPARK-28736:
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Summary: pyspark.mllib.clustering fails on JDK11
Key: SPARK-28736
URL: https://issues.apache.org/jira/browse/SPARK-28736
Project: Spark
Issue Type:
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Dongjoon Hyun updated SPARK-28735:
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Description:
Build Spark and run PySpark UT with JDK11. The last commented `assertTrue`
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Dongjoon Hyun updated SPARK-28735:
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Description:
Build Spark with JDK11 and run `python/run-tests --testnames
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Dongjoon Hyun updated SPARK-28735:
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Description:
Build Spark with JDK11 and run `python/run-tests --testnames
Dongjoon Hyun created SPARK-28735:
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Summary:
MultilayerPerceptronClassifierTest.test_raw_and_probability_prediction fails on
JDK11
Key: SPARK-28735
URL: https://issues.apache.org/jira/browse/SPARK-28735
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Parth Gandhi commented on SPARK-27361:
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Makes sense, thank you.
> YARN support for GPU-aware
Dilip Biswal created SPARK-28734:
Summary: Create a table of content in the left hand side bar for
SQL doc.
Key: SPARK-28734
URL: https://issues.apache.org/jira/browse/SPARK-28734
Project: Spark
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Patrick Clay commented on SPARK-28721:
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I confirmed this affects 2.4.1, and re-confirmed that it
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Patrick Clay updated SPARK-28721:
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Affects Version/s: 2.4.1
> Failing to stop SparkSession in K8S cluster mode PySpark leaks
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YoungGyu Chun commented on SPARK-27931:
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I'll be working on this
> Accept 'on' and 'off' as input
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Thomas Graves commented on SPARK-27361:
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Since that was done prior to this feature, I think its ok
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shane knapp commented on SPARK-28701:
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[~dongjoon] whoops! i just fixed that build...
also, i'm
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Parth Gandhi commented on SPARK-27361:
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[~tgraves], I was just wondering whether
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Dongjoon Hyun resolved SPARK-28687.
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Resolution: Fixed
Issue resolved by pull request 25408
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Wenchen Fan resolved SPARK-27739.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 24623
Mrinal Bhattacherjee created SPARK-28733:
Summary: DataFrameReader of Spark not able to recognize the very
first quote character, while custom unicode quote character is used
Key: SPARK-28733
URL:
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Alix Métivier updated SPARK-28732:
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Description:
I am using agg function on a dataset, and i want to count the number of lines
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Alix Métivier updated SPARK-28732:
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Description:
I am using agg function on a dataset, and i want to count the number of lines
Alix Métivier created SPARK-28732:
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Summary:
org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator - failed to
compile: org.codehaus.commons.compiler.CompileException: File 'generated.java'
when storing the result of a count
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Peter Toth updated SPARK-28731:
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Description: Recursive queries should support LIMIT and stop recursion if
the required amount of
Peter Toth created SPARK-28731:
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Summary: Support limit on recursive queries
Key: SPARK-28731
URL: https://issues.apache.org/jira/browse/SPARK-28731
Project: Spark
Issue Type: Sub-task
Gengliang Wang created SPARK-28730:
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Summary: Configurable type coercion policy for table insertion
Key: SPARK-28730
URL: https://issues.apache.org/jira/browse/SPARK-28730
Project: Spark
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Wenchen Fan reassigned SPARK-27739:
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Assignee: John Zhuge
> df.persist should save stats from optimized plan
>
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Fokko Driesprong updated SPARK-28728:
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Description: (was: Due to CVE's:
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Fokko Driesprong updated SPARK-28728:
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Description: Needs to be upgraded due to issues.
> Bump Jackson Databind to 2.9.9.3
>
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angerszhu commented on SPARK-28726:
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[~ajithshetty] also happen when higher timeouts
> Spark with
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Ajith S commented on SPARK-28726:
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As i see, this is driver trying to clean up RDDs, broadcasts etc from
ShuMing Li created SPARK-28729:
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Summary: Comparison between DecimalType and StringType may lead
to wrong results
Key: SPARK-28729
URL: https://issues.apache.org/jira/browse/SPARK-28729
Project: Spark
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Gabor Somogyi commented on SPARK-28367:
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It has been turned out new API from Kafka side is needed
Fokko Driesprong created SPARK-28728:
Summary: Bump Jackson Databind to 2.9.9.3
Key: SPARK-28728
URL: https://issues.apache.org/jira/browse/SPARK-28728
Project: Spark
Issue Type: Task
Nikunj created SPARK-28727:
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Summary: Request for partial least square (PLS) regression model
Key: SPARK-28727
URL: https://issues.apache.org/jira/browse/SPARK-28727
Project: Spark
Issue Type: New
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angerszhu updated SPARK-28726:
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Description:
When use Spark with dynamic allocation, we set idle time to 5s
We always got exception
angerszhu created SPARK-28726:
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Summary: Spark with DynamicAllocation always got connect rest by
peers
Key: SPARK-28726
URL: https://issues.apache.org/jira/browse/SPARK-28726
Project: Spark
Sharad Varshney created SPARK-28725:
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Summary: Spark ML not able to de-serialize Logistic Regression
model saved in previous version of Spark
Key: SPARK-28725
URL:
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Wenchen Fan reassigned SPARK-28265:
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Assignee: Edgar Rodriguez
> Missing TableCatalog API to rename table
>
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Sandeep Katta resolved SPARK-28711.
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Resolution: Not A Bug
> [SQL] ThriftServer is not starting after upgrading the spark to 3.0
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Wenchen Fan resolved SPARK-28265.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25206
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