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mike updated SPARK-36983:
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Description:
Precondition:
Spark 3.1 run locally on my Macbook Pro(16G Ram,i7, 2015)
In folder A having two
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mike updated SPARK-36983:
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Description:
Precondition:
In folder A having two parquet files
* File 1: have some columns and one of them
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mike updated SPARK-36983:
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Summary: ignoreCorruptFiles does not work when schema change from int to
string when a file having more than 35
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mike updated SPARK-36983:
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Description:
Precondition:
In folder A having two parquet files
* File 1: have some columns and one of them
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mike updated SPARK-36983:
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Description:
Precondition:
In folder A having two parquet files
* File 1: have some columns and one of them
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mike updated SPARK-36983:
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Description:
Precondition:
In folder A having two parquet files
* File 1: have some columns and one of them
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Apache Spark commented on SPARK-36993:
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User 'ulysses-you' has created a pull request for this
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Apache Spark reassigned SPARK-36993:
Assignee: Apache Spark
> Fix json_tupe throw NPE if fields exist no foldable null value
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Apache Spark reassigned SPARK-36993:
Assignee: (was: Apache Spark)
> Fix json_tupe throw NPE if fields exist no foldable
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Apache Spark commented on SPARK-36993:
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User 'ulysses-you' has created a pull request for this
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XiDuo You updated SPARK-36993:
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Affects Version/s: 3.0.3
> Fix json_tupe throw NPE if fields exist no foldable null value
>
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XiDuo You updated SPARK-36993:
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Summary: Fix json_tupe throw NPE if fields exist no foldable null field
(was: Fix json_tupe throw
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XiDuo You updated SPARK-36993:
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Summary: Fix json_tupe throw NPE if fields exist no foldable null value
(was: Fix json_tupe throw
XiDuo You created SPARK-36993:
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Summary: Fix json_tupe throw NPE if fields exist no foldable null
column
Key: SPARK-36993
URL: https://issues.apache.org/jira/browse/SPARK-36993
Project: Spark
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XiDuo You updated SPARK-36993:
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Description:
If json_tuple exists no foldable null field, Spark would throw NPE during eval
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Hyukjin Kwon resolved SPARK-36953.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 34219
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Hyukjin Kwon reassigned SPARK-36953:
Assignee: Hyukjin Kwon
> Expose SQL state and error class in PySpark exceptions
>
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Wenchen Fan resolved SPARK-36794.
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Resolution: Fixed
Issue resolved by pull request 34247
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Wenchen Fan updated SPARK-36794:
Summary: Ignore duplicated join keys when building relation for SEMI/ANTI
shuffle hash join
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Apache Spark reassigned SPARK-36900:
Assignee: Apache Spark
> "SPARK-36464: size returns correct positive number even with
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huangtengfei resolved SPARK-36954.
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Resolution: Not A Problem
> Fast fail with explicit err msg when calling withWatermark on
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Apache Spark reassigned SPARK-36900:
Assignee: (was: Apache Spark)
> "SPARK-36464: size returns correct positive number
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Hyukjin Kwon reopened SPARK-36900:
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Assignee: (was: Sean R. Owen)
> "SPARK-36464: size returns correct positive number even
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Hyukjin Kwon commented on SPARK-36900:
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Reverted in:
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Hyukjin Kwon updated SPARK-36900:
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Fix Version/s: (was: 3.2.1)
(was: 3.3.0)
> "SPARK-36464: size
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Apache Spark commented on SPARK-36992:
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User 'ulysses-you' has created a pull request for this
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Apache Spark reassigned SPARK-36992:
Assignee: (was: Apache Spark)
> Improve byte array sort perf by unify getPrefix
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Apache Spark reassigned SPARK-36992:
Assignee: Apache Spark
> Improve byte array sort perf by unify getPrefix function of
XiDuo You created SPARK-36992:
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Summary: Improve byte array sort perf by unify getPrefix function
of UTF8String and ByteArray
Key: SPARK-36992
URL: https://issues.apache.org/jira/browse/SPARK-36992
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Hyukjin Kwon commented on SPARK-36971:
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I suggest you do contact AWS or Databricks to follow up the
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Hyukjin Kwon resolved SPARK-36971.
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Resolution: Invalid
> Query files directly with SQL is broken (with Glue)
>
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mike updated SPARK-36983:
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Description:
Precondition:
In folder A having two parquet files
* File 1: have some columns and one of them
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mike updated SPARK-36983:
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Description:
Precondition:
In folder A having two parquet files
* File 1: have some columns and one of them
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Hyukjin Kwon resolved SPARK-36985.
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Fix Version/s: 3.3.0
Assignee: Takuya Ueshin
Resolution: Fixed
Fixed in
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mike updated SPARK-36983:
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Attachment: file2.parquet
file1.parquet
> ignoreCorruptFiles does not work when schema change
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Hyukjin Kwon commented on SPARK-36989:
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Adding mypy tests would be super awesome!
> Migrate type
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Hyukjin Kwon reassigned SPARK-36961:
Assignee: Takuya Ueshin
> Use PEP526 style variable type hints
>
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Hyukjin Kwon resolved SPARK-36961.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 34227
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Kousuke Saruta resolved SPARK-36981.
Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved in
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Apache Spark commented on SPARK-36985:
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User 'ueshin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-36985:
Assignee: (was: Apache Spark)
> Future typing errors in pyspark.pandas
>
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Apache Spark reassigned SPARK-36985:
Assignee: Apache Spark
> Future typing errors in pyspark.pandas
>
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Apache Spark commented on SPARK-36985:
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User 'ueshin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-23626?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17427958#comment-17427958
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Apache Spark commented on SPARK-23626:
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User 'JoshRosen' has created a pull request for this issue:
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Dongjoon Hyun reassigned SPARK-36979:
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Assignee: XiDuo You
> Add RewriteLateralSubquery rule into nonExcludableRules
>
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Dongjoon Hyun updated SPARK-36979:
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Issue Type: Bug (was: Improvement)
> Add RewriteLateralSubquery rule into nonExcludableRules
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Dongjoon Hyun resolved SPARK-36979.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 34260
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Xinrong Meng commented on SPARK-36991:
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I am working on this.
> Inline type hints for
Xinrong Meng created SPARK-36991:
Summary: Inline type hints for
spark/python/pyspark/sql/streaming.py
Key: SPARK-36991
URL: https://issues.apache.org/jira/browse/SPARK-36991
Project: Spark
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Catalin Toda updated SPARK-36990:
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Description:
The code below does not work on both Spark 3.1 and Spark 3.2.
Part of the issue
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Catalin Toda updated SPARK-36990:
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Environment: (was: Python repro:
{code:java}
import os
from pyspark.sql.functions import *
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Takuya Ueshin resolved SPARK-36951.
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Fix Version/s: 3.3.0
Assignee: Xinrong Meng
Resolution: Fixed
Issue
Catalin Toda created SPARK-36990:
Summary: Long columns cannot read columns with INT32 type in the
parquet file
Key: SPARK-36990
URL: https://issues.apache.org/jira/browse/SPARK-36990
Project: Spark
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Maciej Szymkiewicz updated SPARK-36989:
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Description:
Before the migration, {{pyspark-stubs}} contained a set of [data
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Maciej Szymkiewicz edited comment on SPARK-36989 at 10/12/21, 7:23 PM:
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Maciej Szymkiewicz commented on SPARK-36989:
FYI [~hyukjin.kwon] [~XinrongM] [~ueshin]
>
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Maciej Szymkiewicz commented on SPARK-36989:
Currently I am working on [some
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Apache Spark reassigned SPARK-36462:
Assignee: (was: Apache Spark)
> Allow Spark on Kube to operate without polling or
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Apache Spark reassigned SPARK-36462:
Assignee: Apache Spark
> Allow Spark on Kube to operate without polling or watchers
>
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Apache Spark commented on SPARK-36462:
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User 'holdenk' has created a pull request for this issue:
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Apache Spark commented on SPARK-36462:
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User 'holdenk' has created a pull request for this issue:
Maciej Szymkiewicz created SPARK-36989:
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Summary: Migrate type hint data tests
Key: SPARK-36989
URL: https://issues.apache.org/jira/browse/SPARK-36989
Project: Spark
Issue Type: Bug
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Apache Spark commented on SPARK-36978:
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User 'utkarsh39' has created a pull request for this issue:
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Apache Spark reassigned SPARK-36978:
Assignee: Apache Spark
> InferConstraints rule should create IsNotNull constraints on
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Apache Spark reassigned SPARK-36978:
Assignee: (was: Apache Spark)
> InferConstraints rule should create IsNotNull
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Apache Spark commented on SPARK-36978:
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User 'utkarsh39' has created a pull request for this issue:
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Utkarsh Agarwal updated SPARK-36978:
Description:
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Shardul Mahadik commented on SPARK-36877:
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{quote} Getting RDD means the physical plan is
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Max Gekk resolved SPARK-36970.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 34237
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Max Gekk reassigned SPARK-36970:
Assignee: Yang Jie
> Manual disabled format `B` for `date_format` function to compatibility with
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zoli updated SPARK-36988:
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Summary: What ciphers spark support for internode communication? (was:
What chipers spark support for
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Wenchen Fan reassigned SPARK-36867:
---
Assignee: Wenchen Fan
> Misleading Error Message with Invalid Column and Group By
>
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Wenchen Fan resolved SPARK-36867.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 34244
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Wenchen Fan resolved SPARK-36914.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 34236
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Wenchen Fan reassigned SPARK-36914:
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Assignee: Huaxin Gao
> Implement dropIndex and listIndexes in JDBC (MySQL dialect)
>
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zoli updated SPARK-36988:
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Description:
{{Spark documentation mentions this:}}
{{[https://spark.apache.org/docs/3.0.0/security.html]}}
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zoli updated SPARK-36988:
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Description:
{{Spark documentation mentions this:}}
{{[https://spark.apache.org/docs/3.0.0/security.html]}}
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zoli updated SPARK-36988:
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Description:
{{Spark documentation mention this:}}
{{[https://spark.apache.org/docs/3.0.0/security.html]}}
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zoli updated SPARK-36988:
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Description:
{{Spark documentation mention this:}}
{{[https://spark.apache.org/docs/3.0.0/security.html]}}
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zoli updated SPARK-36988:
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Description:
{{Spark documentation mention this:}}
{{[https://spark.apache.org/docs/3.0.0/security.html]}}
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zoli updated SPARK-36988:
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Environment: (was: {{Spark documentation mention this:}}
zoli created SPARK-36988:
Summary: What chipers spark support for internode communication?
Key: SPARK-36988
URL: https://issues.apache.org/jira/browse/SPARK-36988
Project: Spark
Issue Type: Question
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mike updated SPARK-36983:
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Summary: ignoreCorruptFiles does not work when schema change from int to
string (was: ignoreCorruptFiles does
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Apache Spark reassigned SPARK-36987:
Assignee: (was: Apache Spark)
> Add Doc about FROM statement
>
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Apache Spark commented on SPARK-36987:
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User 'AngersZh' has created a pull request for this
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Apache Spark reassigned SPARK-36987:
Assignee: Apache Spark
> Add Doc about FROM statement
>
>
>
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Apache Spark commented on SPARK-36987:
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User 'AngersZh' has created a pull request for this
angerszhu created SPARK-36987:
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Summary: Add Doc about FROM statement
Key: SPARK-36987
URL: https://issues.apache.org/jira/browse/SPARK-36987
Project: Spark
Issue Type: Task
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https://issues.apache.org/jira/browse/SPARK-36972?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kousuke Saruta resolved SPARK-36972.
Fix Version/s: 3.3.0
Assignee: Leona Yoda
Resolution: Fixed
Issue
Rodrigo Boavida created SPARK-36986:
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Summary: Improving external schema management flexibility
Key: SPARK-36986
URL: https://issues.apache.org/jira/browse/SPARK-36986
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-36979?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17427627#comment-17427627
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Apache Spark commented on SPARK-36979:
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User 'ulysses-you' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-36949?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36949:
Assignee: (was: Apache Spark)
> Fix CREATE TABLE AS SELECT of ANSI intervals
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https://issues.apache.org/jira/browse/SPARK-36949?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36949:
Assignee: Apache Spark
> Fix CREATE TABLE AS SELECT of ANSI intervals
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https://issues.apache.org/jira/browse/SPARK-36949?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17427624#comment-17427624
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Apache Spark commented on SPARK-36949:
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User 'MaxGekk' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-36976?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17427618#comment-17427618
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Apache Spark commented on SPARK-36976:
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User 'yoda-mon' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-36976?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36976:
Assignee: (was: Apache Spark)
> Add max_by/min_by API to SparkR
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https://issues.apache.org/jira/browse/SPARK-36976?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17427616#comment-17427616
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Apache Spark commented on SPARK-36976:
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User 'yoda-mon' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-36976?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36976:
Assignee: Apache Spark
> Add max_by/min_by API to SparkR
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https://issues.apache.org/jira/browse/SPARK-24156?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17427584#comment-17427584
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Kanishka Chauhan edited comment on SPARK-24156 at 10/12/21, 10:41 AM:
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https://issues.apache.org/jira/browse/SPARK-36921?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17427611#comment-17427611
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Apache Spark commented on SPARK-36921:
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User 'Peng-Lei' has created a pull request for this issue:
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