Enrico Minack created SPARK-45708:
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Summary: Retry mvn deploy failures
Key: SPARK-45708
URL: https://issues.apache.org/jira/browse/SPARK-45708
Project: Spark
Issue Type: Bug
Enrico Minack created SPARK-45651:
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Summary: Snapshots of some packages are not published any more
Key: SPARK-45651
URL: https://issues.apache.org/jira/browse/SPARK-45651
Project: Spark
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Enrico Minack commented on SPARK-38200:
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Sadly, still no feedback from reviewers.
> [SQL] Spark
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Enrico Minack commented on SPARK-38200:
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Created pull request for this:
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https://issues.apache.org/jira/browse/SPARK-19335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17732943#comment-17732943
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Enrico Minack commented on SPARK-19335:
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Created pull request for this:
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Enrico Minack commented on SPARK-38200:
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Related: SPARK-19335
> [SQL] Spark JDBC Savemode
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Enrico Minack commented on SPARK-38200:
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Sadly, MERGE is shown to perform worse than UPDATE+INSERT
Enrico Minack created SPARK-42716:
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Summary: DataSourceV2 cannot report KeyGroupedPartitioning with
multiple keys per partition
Key: SPARK-42716
URL: https://issues.apache.org/jira/browse/SPARK-42716
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Enrico Minack updated SPARK-41162:
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Description:
The following query should return a single row as all values for {{id}} except
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Enrico Minack updated SPARK-40770:
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Description:
Error messages raised by `applyInPandas` and `mapInPadnas` are very generic or
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Enrico Minack updated SPARK-34661:
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Affects Version/s: 3.2.3
3.3.1
3.2.2
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Enrico Minack updated SPARK-34661:
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Affects Version/s: (was: 3.3.0)
(was: 3.2.1)
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Enrico Minack commented on SPARK-40885:
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This has been fixed in 3.4.0 and 3.5.0:
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Enrico Minack updated SPARK-42132:
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Affects Version/s: 3.5.0
> DeduplicateRelations rule breaks plan when co-grouping the same
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Enrico Minack updated SPARK-42199:
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Description:
Calling {{ds.groupByKey(func: V => K)}} creates columns to store the key value.
Enrico Minack created SPARK-42199:
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Summary: groupByKey creates columns that may conflict with exising
columns
Key: SPARK-42199
URL: https://issues.apache.org/jira/browse/SPARK-42199
Project: Spark
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Enrico Minack updated SPARK-42168:
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Description:
The following example returns an incorrect result:
{code:java}
import pandas as
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Enrico Minack updated SPARK-42168:
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Description:
The following example returns an incorrect result:
{code:java}
import pandas as
Enrico Minack created SPARK-42168:
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Summary: CoGroup with window function returns incorrect result
when partition keys differ in order
Key: SPARK-42168
URL: https://issues.apache.org/jira/browse/SPARK-42168
Enrico Minack created SPARK-42132:
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Summary: DeduplicateRelations rule breaks plan when co-grouping
the same DataFrame
Key: SPARK-42132
URL: https://issues.apache.org/jira/browse/SPARK-42132
Project:
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Enrico Minack updated SPARK-42132:
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Labels: correctness (was: )
> DeduplicateRelations rule breaks plan when co-grouping the
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Enrico Minack updated SPARK-40885:
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Affects Version/s: 3.4.0
> Spark will filter out data field sorting when dynamic partitions
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Enrico Minack updated SPARK-40819:
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Labels: regression (was: correctness)
> Parquet INT64 (TIMESTAMP(NANOS,true)) now throwing
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Enrico Minack updated SPARK-40819:
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Labels: correctness (was: )
> Parquet INT64 (TIMESTAMP(NANOS,true)) now throwing Illegal
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Enrico Minack updated SPARK-41914:
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Labels: correctness (was: )
> Sorting issue with partitioned-writing and planned write
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Enrico Minack updated SPARK-26345:
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Labels: (was: correctness)
> Parquet support Column indexes
>
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Enrico Minack updated SPARK-26345:
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Labels: correctness (was: )
> Parquet support Column indexes
>
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Enrico Minack updated SPARK-41959:
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Labels: correctness (was: )
> Improve v1 writes with empty2null
>
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Enrico Minack edited comment on SPARK-40885 at 1/10/23 7:02 AM:
This
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Enrico Minack edited comment on SPARK-40885 at 1/10/23 7:00 AM:
This
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Enrico Minack commented on SPARK-40885:
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This should be fixed by SPARK-40885.
> Spark will filter
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Enrico Minack commented on SPARK-40588:
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Unfortunately, this issue persists with Spark 3.4.0,
Enrico Minack created SPARK-41914:
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Summary: Sorting issue with partitioned-writing and planned write
optimization disabled
Key: SPARK-41914
URL: https://issues.apache.org/jira/browse/SPARK-41914
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Enrico Minack updated SPARK-41162:
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Affects Version/s: 3.0.3
> Anti-join must not be pushed below aggregation with ambiguous
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Enrico Minack updated SPARK-41162:
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Affects Version/s: 3.3.1
3.1.3
3.2.3
>
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Enrico Minack updated SPARK-41162:
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Description:
The following query should return a single row as all values for {{id}} except
Enrico Minack created SPARK-41162:
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Summary: Anti-join must not be pushed below aggregation with
ambiguous predicates
Key: SPARK-41162
URL: https://issues.apache.org/jira/browse/SPARK-41162
Project:
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https://issues.apache.org/jira/browse/SPARK-41014?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Enrico Minack updated SPARK-41014:
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Description:
Documentation of method `applyInPandas` for grouby and cogroup does not mention
Enrico Minack created SPARK-41014:
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Summary: Improve documentation and typing of applyInPandas for
groupby and cogroup
Key: SPARK-41014
URL: https://issues.apache.org/jira/browse/SPARK-41014
Project:
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https://issues.apache.org/jira/browse/SPARK-40559?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17627483#comment-17627483
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Enrico Minack commented on SPARK-40559:
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That would require users to re-implement GroupedIterator
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Enrico Minack edited comment on SPARK-40588 at 10/23/22 5:01 PM:
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Here
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Enrico Minack edited comment on SPARK-40588 at 10/23/22 4:55 PM:
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Here
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Enrico Minack edited comment on SPARK-40588 at 10/23/22 4:55 PM:
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Here
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Enrico Minack updated SPARK-40588:
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Summary: Sorting issue with partitioned-writing and AQE turned on (was:
Sorting issue with
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Enrico Minack commented on SPARK-40588:
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Even with AQE enabled (pre Spark 3.4.0), the written
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Enrico Minack edited comment on SPARK-40588 at 10/22/22 1:02 PM:
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Here
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Enrico Minack edited comment on SPARK-40588 at 10/20/22 4:23 PM:
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Here
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Enrico Minack edited comment on SPARK-40588 at 10/20/22 4:23 PM:
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Here
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Enrico Minack commented on SPARK-40588:
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Here is a more concise and complete example to reproduce
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Enrico Minack updated SPARK-40819:
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Affects Version/s: 3.4.0
3.3.1
3.2.3
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Enrico Minack updated SPARK-38591:
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Summary: Add sortWithinGroups to KeyValueGroupedDataset (was: Add
flatMapSortedGroups and
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Enrico Minack updated SPARK-40830:
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Description:
Calling {{Dataset.groupBy(...).as[K, T]}} should be preferred over calling
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Enrico Minack updated SPARK-40830:
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Priority: Minor (was: Trivial)
> Dataset.groupBy.as should be preferred over
Enrico Minack created SPARK-40830:
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Summary: Dataset.groupBy.as should be preferred over
Dataset.groupByKey
Key: SPARK-40830
URL: https://issues.apache.org/jira/browse/SPARK-40830
Project: Spark
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Enrico Minack updated SPARK-38591:
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Description:
The existing methods {{KeyValueGroupedDataset.flatMapGroups}} and
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Enrico Minack updated SPARK-39783:
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Description:
AnalysisException {{[UNRESOLVED_COLUMN.WITH_SUGGESTION]}} shows the wrong
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Enrico Minack updated SPARK-39783:
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Description:
AnalysisException {{[UNRESOLVED_COLUMN.WITH_SUGGESTION]}} shows the wrong
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Enrico Minack updated SPARK-39783:
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Description:
AnalysisException {{[UNRESOLVED_COLUMN.WITH_SUGGESTION]}} shows the wrong
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Enrico Minack commented on SPARK-39783:
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This issue is about the error message, not the fact that
Enrico Minack created SPARK-40770:
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Summary: Improved error messages for applyInPandas for schema
mismatch
Key: SPARK-40770
URL: https://issues.apache.org/jira/browse/SPARK-40770
Project: Spark
Enrico Minack created SPARK-40601:
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Summary: Improve error when cogrouping groups with mismatching key
sizes
Key: SPARK-40601
URL: https://issues.apache.org/jira/browse/SPARK-40601
Project: Spark
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Enrico Minack updated SPARK-40559:
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Description:
PySpark allows to transform a {{DataFrame}} via Pandas and Arrow API:
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Enrico Minack edited comment on SPARK-40559 at 9/26/22 7:30 AM:
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Enrico Minack updated SPARK-40559:
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Description:
PySpark allows to transform a {{DataFrame}} via Pandas and Arrow API:
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Enrico Minack commented on SPARK-40559:
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[~cloud_fan] [~hyukjin.kwon] [~XinrongM] what do you
Enrico Minack created SPARK-40559:
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Summary: Add applyInArrow to pyspark.sql.GroupedData
Key: SPARK-40559
URL: https://issues.apache.org/jira/browse/SPARK-40559
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-39931?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Enrico Minack updated SPARK-39931:
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Description:
Calling {{DataFrame.groupby(...).applyInPandas(...)}} for very small groups in
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Enrico Minack updated SPARK-39931:
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Description:
Calling {{DataFrame.groupby(...).applyInPandas(...)}} for very small groups in
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Enrico Minack updated SPARK-39931:
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Description:
Calling {{DataFrame.groupby(...).applyInPandas(...)}} for very small groups in
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Enrico Minack updated SPARK-39931:
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Description:
Calling `DataFrame.groupby(...).applyInPandas(...)` for very small groups in
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Enrico Minack updated SPARK-38591:
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Affects Version/s: 3.4.0
(was: 3.3.0)
Description:
The
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Enrico Minack updated SPARK-39931:
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Description:
Calling `DataFrame.groupby(...).applyInPandas(...)` for very small groups in
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Enrico Minack updated SPARK-39931:
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Issue Type: Improvement (was: New Feature)
> Improve performance of applyInPandas for very
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Enrico Minack updated SPARK-39931:
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Description:
Calling `DataFrame.groupby(...).applyInPandas(...)` for very small groups in
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Enrico Minack commented on SPARK-39931:
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[~hyukjin.kwon] [~zero323] [~ruifengz] [~itholic]
>
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Enrico Minack updated SPARK-39931:
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Description:
Calling `DataFrame.groupby(...).applyInPandas(...)` for very small groups in
Enrico Minack created SPARK-39931:
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Summary: Improve performance of applyInPandas for very small groups
Key: SPARK-39931
URL: https://issues.apache.org/jira/browse/SPARK-39931
Project: Spark
Enrico Minack created SPARK-39878:
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Summary: Migrate melt function in Pandas API to PySpark / Scala
unpivot
Key: SPARK-39878
URL: https://issues.apache.org/jira/browse/SPARK-39878
Project: Spark
Enrico Minack created SPARK-39877:
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Summary: Unpivot / melt function for PySpark
Key: SPARK-39877
URL: https://issues.apache.org/jira/browse/SPARK-39877
Project: Spark
Issue Type: New
Enrico Minack created SPARK-39876:
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Summary: Unpivot / melt function for SQL
Key: SPARK-39876
URL: https://issues.apache.org/jira/browse/SPARK-39876
Project: Spark
Issue Type: New Feature
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Enrico Minack updated SPARK-38864:
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Summary: Unpivot / melt function for Dataset API (was: Melt function for
Dataset API)
>
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Enrico Minack resolved SPARK-39292.
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Resolution: Fixed
> Make Dataset.melt work with struct fields
>
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Enrico Minack updated SPARK-39783:
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Description:
The following code references a nested value {{{}`the`.`id`{}}}, that does not
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Enrico Minack commented on SPARK-39783:
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[~srielau] [~cloud_fan]
> Wrong column backticks in
Enrico Minack created SPARK-39783:
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Summary: Wrong column backticks in UNRESOLVED_COLUMN error
Key: SPARK-39783
URL: https://issues.apache.org/jira/browse/SPARK-39783
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-39644?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17561132#comment-17561132
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Enrico Minack commented on SPARK-39644:
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[~csun] As discussed, I'll be working on this.
> Add
Enrico Minack created SPARK-39644:
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Summary: Add RangePartitioning to DataSource V2
Key: SPARK-39644
URL: https://issues.apache.org/jira/browse/SPARK-39644
Project: Spark
Issue Type: New
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https://issues.apache.org/jira/browse/SPARK-39529?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17556323#comment-17556323
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Enrico Minack commented on SPARK-39529:
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A first good step could be to merge {{precondition}} into
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Enrico Minack commented on SPARK-39532:
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This composite action first becomes available once merged
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Enrico Minack updated SPARK-39532:
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Parent: SPARK-39515
Issue Type: Sub-task (was: Improvement)
> Move checkout and sync
Enrico Minack created SPARK-39532:
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Summary: Move checkout and sync steps into re-usable composite
action
Key: SPARK-39532
URL: https://issues.apache.org/jira/browse/SPARK-39532
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-39515?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17556265#comment-17556265
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Enrico Minack commented on SPARK-39515:
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I can give [https://github.com/apache/spark/pull/36888]
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https://issues.apache.org/jira/browse/SPARK-39292?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17546058#comment-17546058
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Enrico Minack commented on SPARK-39292:
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This is being fixed as part of
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https://issues.apache.org/jira/browse/SPARK-39292?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Enrico Minack updated SPARK-39292:
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Description:
In SPARK-38864, the melt function was added to Dataset.
It would be nice if
Enrico Minack created SPARK-39292:
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Summary: Make Dataset.melt work with struct fields
Key: SPARK-39292
URL: https://issues.apache.org/jira/browse/SPARK-39292
Project: Spark
Issue Type:
Enrico Minack created SPARK-39074:
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Summary: Fail on uploading test files, not when downloading them
Key: SPARK-39074
URL: https://issues.apache.org/jira/browse/SPARK-39074
Project: Spark
Enrico Minack created SPARK-39038:
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Summary: Skip reporting test results if triggering workflow was
skipped
Key: SPARK-39038
URL: https://issues.apache.org/jira/browse/SPARK-39038
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-38970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Enrico Minack updated SPARK-38970:
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Summary: Skip build-and-test workflow on forks when scheduled (was: Check
for changes only
Enrico Minack created SPARK-38970:
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Summary: Check for changes only if changes are being built /
tested (not on forks)
Key: SPARK-38970
URL: https://issues.apache.org/jira/browse/SPARK-38970
Project:
Enrico Minack created SPARK-38966:
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Summary: Fix CI for fork branches in-sync with upstream master
Key: SPARK-38966
URL: https://issues.apache.org/jira/browse/SPARK-38966
Project: Spark
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