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Xinrong Meng reassigned SPARK-42507:
Assignee: Dongjoon Hyun
> Simplify ORC schema merging conflict error check
>
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Xinrong Meng edited comment on SPARK-41661 at 2/16/23 12:23 PM:
Hi
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Xinrong Meng commented on SPARK-41661:
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Hi [~grundprinzip-db] the support for pickled Python UDF
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https://issues.apache.org/jira/browse/SPARK-42393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42393:
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Summary: Support for Pandas/Arrow Functions API (was: Support for Pandas
Functions API)
>
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Xinrong Meng resolved SPARK-41661.
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Resolution: Done
> Support for User-defined Functions in Python
>
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https://issues.apache.org/jira/browse/SPARK-42263?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng reassigned SPARK-42263:
Assignee: Xinrong Meng
> Implement `spark.catalog.registerFunction`
>
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Xinrong Meng resolved SPARK-42263.
--
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 39984
Xinrong Meng created SPARK-42428:
Summary: Standardize __repr__ of CommonInlineUserDefinedFunction
Key: SPARK-42428
URL: https://issues.apache.org/jira/browse/SPARK-42428
Project: Spark
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Xinrong Meng updated SPARK-42263:
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Parent: SPARK-41661
Issue Type: Sub-task (was: Improvement)
> Implement
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https://issues.apache.org/jira/browse/SPARK-42247?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42247:
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Affects Version/s: 3.4.0
(was: 3.5.0)
> Standardize `returnType`
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Xinrong Meng updated SPARK-42247:
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Parent: SPARK-42393
Issue Type: Sub-task (was: Improvement)
> Standardize `returnType`
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Xinrong Meng updated SPARK-42393:
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Affects Version/s: 3.4.0
> Support for Pandas Functions API
>
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https://issues.apache.org/jira/browse/SPARK-42247?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42247:
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Affects Version/s: 3.5.0
(was: 3.4.0)
> Standardize `returnType`
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https://issues.apache.org/jira/browse/SPARK-42340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42340:
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Epic Link: (was: SPARK-39375)
> Implement GroupedData.applyInPandas
>
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https://issues.apache.org/jira/browse/SPARK-42340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42340:
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Parent: SPARK-42393
Issue Type: Sub-task (was: New Feature)
> Implement
Xinrong Meng created SPARK-42393:
Summary: Support for Pandas Functions API
Key: SPARK-42393
URL: https://issues.apache.org/jira/browse/SPARK-42393
Project: Spark
Issue Type: Umbrella
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https://issues.apache.org/jira/browse/SPARK-42264?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng resolved SPARK-42264.
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Resolution: Fixed
> Test Parity: pyspark.sql.tests.test_udf and
>
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Xinrong Meng reassigned SPARK-42264:
Assignee: Xinrong Meng
> Test Parity: pyspark.sql.tests.test_udf and
>
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https://issues.apache.org/jira/browse/SPARK-42246?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng resolved SPARK-42246.
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Resolution: Resolved
> Reach Full Parity with Vanilla PySpark's UDF
>
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Xinrong Meng updated SPARK-42263:
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Parent: (was: SPARK-42246)
Issue Type: Improvement (was: Sub-task)
> Implement
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https://issues.apache.org/jira/browse/SPARK-42247?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42247:
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Parent: (was: SPARK-42246)
Issue Type: Improvement (was: Sub-task)
> Standardize
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https://issues.apache.org/jira/browse/SPARK-42269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42269:
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Parent: SPARK-41661
Issue Type: Sub-task (was: Improvement)
> Support complex return
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https://issues.apache.org/jira/browse/SPARK-42269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42269:
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Parent: (was: SPARK-42246)
Issue Type: Improvement (was: Sub-task)
> Support
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Xinrong Meng updated SPARK-42247:
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Description: There are checks (was: The inconsistency can be reproduced
as shown below:
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Xinrong Meng updated SPARK-42246:
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Summary: Reach Full Parity with Vanilla PySpark's UDF (was: Reach Full
Parity with Vanilla
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Xinrong Meng updated SPARK-42269:
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Summary: Support complex return types in DDL strings (was: Support
user-specified return type
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Xinrong Meng updated SPARK-42247:
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Summary: Standardize `returnType` property of UserDefinedFunction (was:
`returnType` attribute
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https://issues.apache.org/jira/browse/SPARK-42211?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng resolved SPARK-42211.
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Resolution: Duplicate
> Python UDFs with inconsistent client and server versions
>
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https://issues.apache.org/jira/browse/SPARK-42210?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng resolved SPARK-42210.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 39860
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Xinrong Meng reassigned SPARK-42210:
Assignee: Xinrong Meng
> Standardize registered pickled Python UDFs
>
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https://issues.apache.org/jira/browse/SPARK-42340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42340:
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Epic Link: SPARK-39375
> Implement GroupedData.applyInPandas
>
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https://issues.apache.org/jira/browse/SPARK-42340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42340:
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Parent: (was: SPARK-41661)
Issue Type: New Feature (was: Sub-task)
> Implement
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https://issues.apache.org/jira/browse/SPARK-42125?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng resolved SPARK-42125.
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Resolution: Resolved
Resolved by https://github.com/apache/spark/pull/39753
> Pandas UDF in
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Xinrong Meng reassigned SPARK-42125:
Assignee: Xinrong Meng
> Pandas UDF in Spark Connect
> ---
>
>
Xinrong Meng created SPARK-42271:
Summary: Reuse UDF test cases under `pyspark.sql.tests`
Key: SPARK-42271
URL: https://issues.apache.org/jira/browse/SPARK-42271
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-42269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42269:
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Summary: Support user-specified return type as a collection DataType in DDL
strings (was:
Xinrong Meng created SPARK-42269:
Summary: Support user-specified return type as a collection
DataType
Key: SPARK-42269
URL: https://issues.apache.org/jira/browse/SPARK-42269
Project: Spark
Xinrong Meng created SPARK-42267:
Summary: Support left_outer join
Key: SPARK-42267
URL: https://issues.apache.org/jira/browse/SPARK-42267
Project: Spark
Issue Type: Sub-task
Xinrong Meng created SPARK-42265:
Summary: DataFrame.createTempView - SparkConnectGrpcException:
requirement failed
Key: SPARK-42265
URL: https://issues.apache.org/jira/browse/SPARK-42265
Project:
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https://issues.apache.org/jira/browse/SPARK-42208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng reassigned SPARK-42208:
Assignee: Xinrong Meng
> Reuse UDF test cases under `pyspark.sql.tests`
>
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Xinrong Meng resolved SPARK-42208.
--
Resolution: Duplicate
Duplicated by https://issues.apache.org/jira/browse/SPARK-42264
>
Xinrong Meng created SPARK-42264:
Summary: Test Parity: pyspark.sql.tests.test_udf and
pyspark.sql.tests.pandas.test_pandas_udf
Key: SPARK-42264
URL: https://issues.apache.org/jira/browse/SPARK-42264
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Xinrong Meng updated SPARK-42210:
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Description: Implement spark.udf.
> Standardize registered pickled Python UDFs
>
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https://issues.apache.org/jira/browse/SPARK-42263?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42263:
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Summary: Implement `spark.catalog.registerFunction` (was: Implement
`spark.udf`)
> Implement
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https://issues.apache.org/jira/browse/SPARK-42263?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42263:
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Summary: Implement `spark.udf` (was: Implement
`spark.catalog.registerFunction`)
> Implement
Xinrong Meng created SPARK-42263:
Summary: Implement `spark.catalog.registerFunction`
Key: SPARK-42263
URL: https://issues.apache.org/jira/browse/SPARK-42263
Project: Spark
Issue Type:
Xinrong Meng created SPARK-42247:
Summary: `returnType` attribute of UDF when the user-specified
return type has column name embeded
Key: SPARK-42247
URL: https://issues.apache.org/jira/browse/SPARK-42247
Xinrong Meng created SPARK-42246:
Summary: Reach Full Parity with Vanilla PySpark's UDF in Python
Key: SPARK-42246
URL: https://issues.apache.org/jira/browse/SPARK-42246
Project: Spark
Issue
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Xinrong Meng commented on SPARK-41661:
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Hi [~grundprinzip-db], I renamed the ticket for clarity to
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Xinrong Meng updated SPARK-41661:
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Summary: Support for User-defined Functions in Python (was: Support for
Python UDFs)
>
Xinrong Meng created SPARK-42211:
Summary: Python UDFs with inconsistent client and server versions
Key: SPARK-42211
URL: https://issues.apache.org/jira/browse/SPARK-42211
Project: Spark
Xinrong Meng created SPARK-42210:
Summary: Standardize registered pickled Python UDFs
Key: SPARK-42210
URL: https://issues.apache.org/jira/browse/SPARK-42210
Project: Spark
Issue Type:
Xinrong Meng created SPARK-42208:
Summary: Reuse UDF test cases under `pyspark.sql.tests`
Key: SPARK-42208
URL: https://issues.apache.org/jira/browse/SPARK-42208
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-41662?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng resolved SPARK-41662.
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Resolution: Duplicate
> Minimal support for pickled Python UDFs
>
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https://issues.apache.org/jira/browse/SPARK-42126?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17680954#comment-17680954
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Xinrong Meng commented on SPARK-42126:
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Resolved by https://github.com/apache/spark/pull/39739.
>
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Xinrong Meng resolved SPARK-42126.
--
Resolution: Resolved
> Accept return type in DDL strings for Python Scalar UDFs in Spark
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Xinrong Meng reassigned SPARK-42126:
Assignee: Xinrong Meng
> Accept return type in DDL strings for Python Scalar UDFs in
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Xinrong Meng updated SPARK-42126:
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Summary: Accept return type in DDL strings for Python Scalar UDFs in Spark
Connect (was:
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https://issues.apache.org/jira/browse/SPARK-35996?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-35996:
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Description: (was: Start to prepare Apache Spark 3.5.0 and the
published snapshot version
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https://issues.apache.org/jira/browse/SPARK-42184?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42184:
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Description: Start to prepare Apache Spark 3.5.0 and the published snapshot
version should not
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https://issues.apache.org/jira/browse/SPARK-35996?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-35996:
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Description: Start to prepare Apache Spark 3.5.0 and the published snapshot
version should not
Xinrong Meng created SPARK-42184:
Summary: Setting version to 3.5.0-SNAPSHOT
Key: SPARK-42184
URL: https://issues.apache.org/jira/browse/SPARK-42184
Project: Spark
Issue Type: Task
Xinrong Meng created SPARK-42126:
Summary: Support user-specified return type in DDL-formatted string
Key: SPARK-42126
URL: https://issues.apache.org/jira/browse/SPARK-42126
Project: Spark
Xinrong Meng created SPARK-42125:
Summary: Pandas UDF in Spark Connect
Key: SPARK-42125
URL: https://issues.apache.org/jira/browse/SPARK-42125
Project: Spark
Issue Type: Sub-task
Xinrong Meng created SPARK-42124:
Summary: Scalar Inline Python UDF in Spark Connect
Key: SPARK-42124
URL: https://issues.apache.org/jira/browse/SPARK-42124
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-42095?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-42095:
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Description: Fix gRPC check in tests, including variables and error
messages.
> Fix gRPC check
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Xinrong Meng updated SPARK-42095:
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Summary: Fix gRPC check in tests (was: gRPC check in tests)
> Fix gRPC check in tests
>
Xinrong Meng created SPARK-42095:
Summary: gRPC check in tests
Key: SPARK-42095
URL: https://issues.apache.org/jira/browse/SPARK-42095
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-40307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng resolved SPARK-40307.
--
Assignee: Xinrong Meng
Resolution: Resolved
> Introduce Arrow-optimized Python UDFs
>
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Xinrong Meng commented on SPARK-40307:
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Resolved by https://github.com/apache/spark/pull/39384.
>
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Xinrong Meng updated SPARK-40307:
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Description:
Python user-defined function (UDF) enables users to run arbitrary code against
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Xinrong Meng updated SPARK-40307:
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Description:
Python user-defined function (UDF) enables users to run arbitrary code against
[
https://issues.apache.org/jira/browse/SPARK-40307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-40307:
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Description:
Python user-defined function (UDF) enables users to run arbitrary code against
[
https://issues.apache.org/jira/browse/SPARK-40307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-40307:
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Summary: Introduce Arrow-optimized Python UDFs (was: Optimize
(De)Serialization of Python UDFs
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Xinrong Meng updated SPARK-40307:
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Description:
Python user-defined function (UDF) enables users to run arbitrary code against
[
https://issues.apache.org/jira/browse/SPARK-40307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-40307:
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Summary: Optimize (De)Serialization of Python UDFs by Arrow (was: Optimize
(De)Serialization
Xinrong Meng created SPARK-41473:
Summary: Implement `functions.format_number`
Key: SPARK-41473
URL: https://issues.apache.org/jira/browse/SPARK-41473
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-41283?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng reassigned SPARK-41283:
Assignee: Ruifeng Zheng (was: Xinrong Meng)
> Feature parity: Functions API in Spark
Xinrong Meng created SPARK-41472:
Summary: Implement the rest of string/binary functions
Key: SPARK-41472
URL: https://issues.apache.org/jira/browse/SPARK-41472
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-41455?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-41455:
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Description:
When implementing date/timestamp functions, we notice inconsistent dtypes with
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Xinrong Meng updated SPARK-41455:
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Description:
When implementing date/timestamp functions, we notice inconsistent dtypes with
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https://issues.apache.org/jira/browse/SPARK-41455?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-41455:
-
Description:
When implementing date/timestamp functions, we notice inconsistent dtypes with
Xinrong Meng created SPARK-41455:
Summary: Resolve dtypes inconsistencies of date/timestamp functions
Key: SPARK-41455
URL: https://issues.apache.org/jira/browse/SPARK-41455
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-41414?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-41414:
-
Summary: Implement date/timestamp functions (was: Implement data/timestamp
functions)
>
Xinrong Meng created SPARK-41414:
Summary: Implement data/timestamp functions
Key: SPARK-41414
URL: https://issues.apache.org/jira/browse/SPARK-41414
Project: Spark
Issue Type: Sub-task
Xinrong Meng created SPARK-41402:
Summary: Override nodeName of StringDecode
Key: SPARK-41402
URL: https://issues.apache.org/jira/browse/SPARK-41402
Project: Spark
Issue Type: Improvement
Xinrong Meng created SPARK-41397:
Summary: Implement part of String/Binary functions
Key: SPARK-41397
URL: https://issues.apache.org/jira/browse/SPARK-41397
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-41397?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-41397:
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Summary: Implement part of string/binary functions (was: Implement part of
String/Binary
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https://issues.apache.org/jira/browse/SPARK-41372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17643473#comment-17643473
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Xinrong Meng commented on SPARK-41372:
--
Resolved by https://github.com/apache/spark/pull/38891.
>
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Xinrong Meng resolved SPARK-41372.
--
Resolution: Resolved
> Support DataFrame TempView
> --
>
>
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https://issues.apache.org/jira/browse/SPARK-41354?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-41354:
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Summary: Implement `DataFrame.repartitionByRange` (was: Support
Xinrong Meng created SPARK-41354:
Summary: Support `DataFrame.repartitionByRange`
Key: SPARK-41354
URL: https://issues.apache.org/jira/browse/SPARK-41354
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-41227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-41227:
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Description:
Implement DataFrame cross join for Spark Connect.
That consists of
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https://issues.apache.org/jira/browse/SPARK-41227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-41227:
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Summary: Implement DataFrame cross join (was: Implement
`DataFrame.crossJoin`)
> Implement
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https://issues.apache.org/jira/browse/SPARK-41227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-41227:
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Description:
Implement DataFrame cross join for Spark Connect.
That consists of
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Xinrong Meng created SPARK-41243:
Summary: Update the protobuf version in README
Key: SPARK-41243
URL: https://issues.apache.org/jira/browse/SPARK-41243
Project: Spark
Issue Type: Sub-task
Xinrong Meng created SPARK-41227:
Summary: Implement `DataFrame.crossJoin`
Key: SPARK-41227
URL: https://issues.apache.org/jira/browse/SPARK-41227
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-41150?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-41150:
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Component/s: Documentation
> Document debugging with PySpark memory profiler
>
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Xinrong Meng updated SPARK-41150:
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Description: Document how to debug with PySpark memory profiler on
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https://issues.apache.org/jira/browse/SPARK-41150?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-41150:
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Summary: Document debugging with PySpark memory profiler (was: Document
PySpark memory
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