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Sandeep Singh updated SPARK-41857:
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Summary: Enable test_between_function, test_datetime_functions, test_expr,
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Apache Spark reassigned SPARK-41857:
Assignee: Apache Spark (was: Hyukjin Kwon)
> Enable test_between_function,
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Apache Spark commented on SPARK-41857:
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User 'techaddict' has created a pull request for this
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Apache Spark reassigned SPARK-41857:
Assignee: Hyukjin Kwon (was: Apache Spark)
> Enable test_between_function,
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Sandeep Singh updated SPARK-41857:
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Summary: Enable test_between_function, test_datetime_functions, test_expr,
Sandeep Singh created SPARK-41857:
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Summary: Enable 10 tests that pass
Key: SPARK-41857
URL: https://issues.apache.org/jira/browse/SPARK-41857
Project: Spark
Issue Type: Sub-task
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Apache Spark commented on SPARK-41856:
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User 'techaddict' has created a pull request for this
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Apache Spark reassigned SPARK-41856:
Assignee: Apache Spark (was: Hyukjin Kwon)
> Enable test_create_nan_decimal_dataframe,
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Apache Spark commented on SPARK-41856:
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User 'techaddict' has created a pull request for this
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Apache Spark reassigned SPARK-41856:
Assignee: Hyukjin Kwon (was: Apache Spark)
> Enable test_create_nan_decimal_dataframe,
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Sandeep Singh updated SPARK-41856:
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Description: 5 tests pass now. Should enable them. (was: These tests pass
now. Should enable
Sandeep Singh created SPARK-41856:
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Summary: Enable test_create_nan_decimal_dataframe, test_freqItems,
test_input_files, test_toDF_with_schema_string,
test_to_pandas_required_pandas_not_found
Key: SPARK-41856
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Apache Spark commented on SPARK-41677:
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User 'LuciferYang' has created a pull request for this
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Apache Spark reassigned SPARK-41677:
Assignee: (was: Apache Spark)
> Protobuf serializer for
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Apache Spark reassigned SPARK-41677:
Assignee: Apache Spark
> Protobuf serializer for StreamingQueryProgressWrapper
>
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Apache Spark commented on SPARK-41677:
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User 'LuciferYang' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-41423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17653798#comment-17653798
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Apache Spark commented on SPARK-41423:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-40263?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17653795#comment-17653795
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Apache Spark commented on SPARK-40263:
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User 'techaddict' has created a pull request for this
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Apache Spark reassigned SPARK-40263:
Assignee: (was: Apache Spark)
> Use interruptible lock instead of synchronized in
>
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Apache Spark reassigned SPARK-40263:
Assignee: Apache Spark
> Use interruptible lock instead of synchronized in
>
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Apache Spark commented on SPARK-40263:
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User 'techaddict' has created a pull request for this
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Apache Spark commented on SPARK-41656:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-41839?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-41839.
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Resolution: Invalid
I am resolving this because Spark Connect is not designed to support
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Apache Spark commented on SPARK-41656:
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User 'HyukjinKwon' has created a pull request for this
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Hyukjin Kwon resolved SPARK-41819.
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Resolution: Invalid
I am resolving this because Spark Connect is not designed to support
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Apache Spark commented on SPARK-41658:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-41497?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17653781#comment-17653781
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wuyi commented on SPARK-41497:
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> If I am not wrong, SQL makes very heavy use of accumulators, and so most
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Hyukjin Kwon resolved SPARK-41826.
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Resolution: Duplicate
> Implement Dataframe.readStream
> --
>
>
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Ruifeng Zheng commented on SPARK-41234:
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{code:sql}
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Max Gekk reassigned SPARK-41311:
Assignee: Immanuel Buder
> Rewrite test RENAME_SRC_PATH_NOT_FOUND to trigger the error from user
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Max Gekk resolved SPARK-41311.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 39348
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Hyukjin Kwon reassigned SPARK-41661:
Assignee: Xinrong Meng
> Support for Python UDFs
> ---
>
>
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Hyukjin Kwon commented on SPARK-41651:
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cc [~techaddict] in case you're interested in this. We can
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Hyukjin Kwon commented on SPARK-41652:
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cc [~techaddict] in case you're interested in this. We can
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Hyukjin Kwon commented on SPARK-41658:
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Fixed in https://github.com/apache/spark/pull/39347
>
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Hyukjin Kwon resolved SPARK-41658.
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Resolution: Fixed
> Enable doctests in pyspark.sql.connect.functions
>
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Hyukjin Kwon resolved SPARK-41653.
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Resolution: Done
> Test parity: enable doctests in Spark Connect
>
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Hyukjin Kwon reassigned SPARK-41658:
Assignee: Sandeep Singh
> Enable doctests in pyspark.sql.connect.functions
>
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Max Gekk reassigned SPARK-41807:
Assignee: BingKun Pan
> Remove non-existent error class: UNSUPPORTED_FEATURE.DISTRIBUTE_BY
>
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Max Gekk resolved SPARK-41807.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 39335
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Apache Spark reassigned SPARK-41841:
Assignee: Apache Spark
> Support PyPI packaging without JVM
>
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Apache Spark commented on SPARK-41841:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-41841?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-41841:
Assignee: (was: Apache Spark)
> Support PyPI packaging without JVM
>
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Hyukjin Kwon resolved SPARK-41854.
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Fix Version/s: 3.4.0
Assignee: Hyukjin Kwon
Resolution: Fixed
Fixed in
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Ruifeng Zheng updated SPARK-41855:
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Description:
{code:python}
data = [Row(id=1, value=float("NaN")), Row(id=2,
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Ruifeng Zheng updated SPARK-41855:
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Description:
{code:python}
data = [Row(id=1, value=float("NaN")), Row(id=2,
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Ruifeng Zheng updated SPARK-41855:
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Summary: `createDataFrame` doesn't handle None/NaN properly (was:
`createDataFrame` doesn't
Ruifeng Zheng created SPARK-41855:
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Summary: `createDataFrame` doesn't handle None properly
Key: SPARK-41855
URL: https://issues.apache.org/jira/browse/SPARK-41855
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-41854:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-41854?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-41854:
Assignee: Apache Spark
> Automatic reformat/check python/setup.py
>
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Apache Spark reassigned SPARK-41854:
Assignee: (was: Apache Spark)
> Automatic reformat/check python/setup.py
>
Hyukjin Kwon created SPARK-41854:
Summary: Automatic reformat/check python/setup.py
Key: SPARK-41854
URL: https://issues.apache.org/jira/browse/SPARK-41854
Project: Spark
Issue Type: Test
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https://issues.apache.org/jira/browse/SPARK-39995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17653753#comment-17653753
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Hyukjin Kwon commented on SPARK-39995:
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I think i will be able to pick this up before Spark 3.4.
>
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Hyukjin Kwon commented on SPARK-39995:
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For:
{quote}
Also, env vars (e.g. PYSPARK_HADOOP_VERSION)
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Sandeep Singh commented on SPARK-41852:
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[~podongfeng] these are from the doctests
{code:java}
>>>
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Sandeep Singh commented on SPARK-41851:
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[~podongfeng]
{code:java}
>>> df =
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Ruifeng Zheng commented on SPARK-41815:
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similar to the issue in `createDataFrame`
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Ruifeng Zheng edited comment on SPARK-41814 at 1/3/23 3:12 AM:
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this issue
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Ruifeng Zheng commented on SPARK-41851:
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could you please also provide the code to create the
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Ruifeng Zheng edited comment on SPARK-41814 at 1/3/23 3:06 AM:
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this issue
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Ruifeng Zheng commented on SPARK-41852:
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could you please also provide the code to create the
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Apache Spark commented on SPARK-41853:
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User 'tedyu' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-41847?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandeep Singh updated SPARK-41847:
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Description:
{code:java}
File
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Apache Spark commented on SPARK-41853:
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User 'tedyu' has created a pull request for this issue:
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Apache Spark reassigned SPARK-41853:
Assignee: Apache Spark
> Use Map in place of SortedMap for ErrorClassesJsonReader
>
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Apache Spark reassigned SPARK-41853:
Assignee: (was: Apache Spark)
> Use Map in place of SortedMap for
Ted Yu created SPARK-41853:
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Summary: Use Map in place of SortedMap for ErrorClassesJsonReader
Key: SPARK-41853
URL: https://issues.apache.org/jira/browse/SPARK-41853
Project: Spark
Issue Type:
Sandeep Singh created SPARK-41852:
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Summary: Fix `pmod` function
Key: SPARK-41852
URL: https://issues.apache.org/jira/browse/SPARK-41852
Project: Spark
Issue Type: Sub-task
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Sandeep Singh updated SPARK-41852:
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Description:
{code:java}
File
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wuyi updated SPARK-41848:
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Priority: Blocker (was: Major)
> Tasks are over-scheduled with TaskResourceProfile
>
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wuyi commented on SPARK-41848:
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cc [~ivoson]
> Tasks are over-scheduled with TaskResourceProfile
>
Sandeep Singh created SPARK-41851:
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Summary: Fix `nanvl` function
Key: SPARK-41851
URL: https://issues.apache.org/jira/browse/SPARK-41851
Project: Spark
Issue Type: Sub-task
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Sandeep Singh updated SPARK-41851:
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Description:
{code:java}
File
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Sandeep Singh updated SPARK-41847:
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Description:
{code:java}
File
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Sandeep Singh commented on SPARK-41850:
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This should be moved under SPARK-41283
> Fix `isnan`
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Sandeep Singh updated SPARK-41850:
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Description:
{code:java}
File
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Sandeep Singh updated SPARK-41850:
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Summary: Fix `isnan` function (was: Fix DataFrameReader.isnan)
> Fix `isnan` function
>
Sandeep Singh created SPARK-41850:
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Summary: Fix DataFrameReader.isnan
Key: SPARK-41850
URL: https://issues.apache.org/jira/browse/SPARK-41850
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-41814?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17653736#comment-17653736
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Ruifeng Zheng commented on SPARK-41814:
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this issue is due to:
1, the conversion from rows to
Sandeep Singh created SPARK-41849:
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Summary: Implement DataFrameReader.text
Key: SPARK-41849
URL: https://issues.apache.org/jira/browse/SPARK-41849
Project: Spark
Issue Type: Sub-task
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Sandeep Singh updated SPARK-41849:
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Description:
{code:java}
File
wuyi created SPARK-41848:
Summary: Tasks are over-scheduled with TaskResourceProfile
Key: SPARK-41848
URL: https://issues.apache.org/jira/browse/SPARK-41848
Project: Spark
Issue Type: Bug
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Sandeep Singh updated SPARK-41847:
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Description:
{code:java}
File
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Sandeep Singh updated SPARK-41847:
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Summary: DataFrame mapfield,structlist invalid type (was: DataFrame
mapfield invalid type)
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Sandeep Singh updated SPARK-41847:
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Description:
{code:java}
File
Sandeep Singh created SPARK-41847:
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Summary: DataFrame mapfield invalid type
Key: SPARK-41847
URL: https://issues.apache.org/jira/browse/SPARK-41847
Project: Spark
Issue Type: Sub-task
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Sandeep Singh updated SPARK-41846:
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Summary: DataFrame windowspec functions : unresolved columns (was:
DataFrame aggregation
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Sandeep Singh updated SPARK-41846:
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Description:
{code:java}
File
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wuyi updated SPARK-39853:
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Fix Version/s: 3.4.0
> Support stage level schedule for standalone cluster when dynamic allocation
> is
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https://issues.apache.org/jira/browse/SPARK-41846?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandeep Singh updated SPARK-41846:
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Description:
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Sandeep Singh created SPARK-41846:
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Summary: DataFrame aggregation functions : unresolved columns
Key: SPARK-41846
URL: https://issues.apache.org/jira/browse/SPARK-41846
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-37677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17653733#comment-17653733
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jingxiong zhong commented on SPARK-37677:
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At present, I have repaired Hadoop version 3.3.5, but
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https://issues.apache.org/jira/browse/SPARK-37521?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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jingxiong zhong resolved SPARK-37521.
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Resolution: Won't Fix
> insert overwrite table but the partition information stored in
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https://issues.apache.org/jira/browse/SPARK-41823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandeep Singh resolved SPARK-41823.
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Resolution: Duplicate
> DataFrame.join creating ambiguous column names
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https://issues.apache.org/jira/browse/SPARK-41845?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandeep Singh updated SPARK-41845:
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Description:
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Sandeep Singh created SPARK-41845:
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Summary: Fix `count(expr("*"))` function
Key: SPARK-41845
URL: https://issues.apache.org/jira/browse/SPARK-41845
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-41844?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandeep Singh resolved SPARK-41844.
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Resolution: Invalid
> Implement `intX2` function
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Sandeep Singh created SPARK-41844:
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Summary: Implement `intX2` function
Key: SPARK-41844
URL: https://issues.apache.org/jira/browse/SPARK-41844
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-41844?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandeep Singh updated SPARK-41844:
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Description:
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https://issues.apache.org/jira/browse/SPARK-41835?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandeep Singh updated SPARK-41835:
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Description:
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