Wan Kun created SPARK-47518:
---
Summary: Skip transfer the last spilled shuffle data
Key: SPARK-47518
URL: https://issues.apache.org/jira/browse/SPARK-47518
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-46942?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-46942:
Component/s: Spark Core
(was: YARN)
> Ignore --num-executors config if
Wan Kun created SPARK-46942:
---
Summary: Ignore --num-executors config if DYN_ALLOCATION_ENABLED
is true and allow remove idle executors
Key: SPARK-46942
URL: https://issues.apache.org/jira/browse/SPARK-46942
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https://issues.apache.org/jira/browse/SPARK-33144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17798232#comment-17798232
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Wan Kun commented on SPARK-33144:
-
Speculative task also can cause this issue:
Spark Driver Log
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https://issues.apache.org/jira/browse/SPARK-46403?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-46403:
Description:
Now spark will get a parquet binary object with getBytes() method.
The *Binary.getBytes()*
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Wan Kun updated SPARK-46403:
Description:
Now spark will get a parquet binary object with getBytes() method.
The *Binary.getBytes()*
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https://issues.apache.org/jira/browse/SPARK-46403?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-46403:
Attachment: image-2023-12-14-16-30-39-104.png
> Decode parquet binary with getBytesUnsafe method
>
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Wan Kun updated SPARK-46403:
Summary: Decode parquet binary with getBytesUnsafe method (was: Decode
parquet binary dictionary with
Wan Kun created SPARK-46403:
---
Summary: Decode parquet binary dictionary with getBytesUnsafe
method
Key: SPARK-46403
URL: https://issues.apache.org/jira/browse/SPARK-46403
Project: Spark
Issue
Wan Kun created SPARK-46364:
---
Summary: Push calculation from Aggregate through Expand
Key: SPARK-46364
URL: https://issues.apache.org/jira/browse/SPARK-46364
Project: Spark
Issue Type: Improvement
Wan Kun created SPARK-46069:
---
Summary: Support unwrap timestamp type to date type
Key: SPARK-46069
URL: https://issues.apache.org/jira/browse/SPARK-46069
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-45607?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-45607:
Summary: Collapse repartition operators with a project (was: Collapse
repartition operators with
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https://issues.apache.org/jira/browse/SPARK-45607?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-45607:
Summary: Collapse repartition operators with project (was: Collapse
repartitions with project)
>
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Wan Kun updated SPARK-45607:
Summary: Collapse repartitions with project (was: Collapse repartition
with project)
> Collapse
Wan Kun created SPARK-45607:
---
Summary: Collapse repartition with project
Key: SPARK-45607
URL: https://issues.apache.org/jira/browse/SPARK-45607
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-45594?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-45594:
Description:
Now, when writing data into partitioned table, there will be at least
*dynamicPartitions *
Wan Kun created SPARK-45594:
---
Summary: Auto repartition before writing data into partitioned or
bucket table
Key: SPARK-45594
URL: https://issues.apache.org/jira/browse/SPARK-45594
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-45230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-45230:
Summary: Adjust sorter for Aggregate after SMJ (was: Plan sorter for
Aggregate after SMJ)
> Adjust
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https://issues.apache.org/jira/browse/SPARK-45230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-45230:
Description:
If there is an aggregate operator after the SMJ and the grouping expressions of
aggregate
Wan Kun created SPARK-45230:
---
Summary: Plan sorter for Aggregate after SMJ
Key: SPARK-45230
URL: https://issues.apache.org/jira/browse/SPARK-45230
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-45230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-45230:
Description:
If the aggregate operator comes after SMJ and the grouping expressions of
aggregate
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https://issues.apache.org/jira/browse/SPARK-45230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-45230:
Description:
If there is an aggregate operator after the SMJ and the grouping expressions of
aggregate
[
https://issues.apache.org/jira/browse/SPARK-45230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-45230:
Description:
If the aggregate operator comes after SMJ and the grouping expressions of
aggregate
Wan Kun created SPARK-44870:
---
Summary: Convert HashAggregate to SortAggregate if all grouping
expressions are in child output orderings
Key: SPARK-44870
URL: https://issues.apache.org/jira/browse/SPARK-44870
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https://issues.apache.org/jira/browse/SPARK-44804?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-44804:
Description:
In each partition, SortMergeJoin will compute one by one from the streamed
side, so we
Wan Kun created SPARK-44804:
---
Summary: SortMergeJoin should respect the streamed side ordering
Key: SPARK-44804
URL: https://issues.apache.org/jira/browse/SPARK-44804
Project: Spark
Issue Type:
Wan Kun created SPARK-44773:
---
Summary: Code-gen CodegenFallback expression in WholeStageCodegen
if possible
Key: SPARK-44773
URL: https://issues.apache.org/jira/browse/SPARK-44773
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-44582?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-44582:
Description:
After inner SMJ early cleanup offheap memory, when the SMJ call the left Window
next
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Wan Kun updated SPARK-44582:
Attachment: screenshot-2.png
> JVM crash caused by SMJ and WindowExec
>
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Wan Kun updated SPARK-44582:
Attachment: screenshot-1.png
> JVM crash caused by SMJ and WindowExec
>
Wan Kun created SPARK-44582:
---
Summary: JVM crash caused by SMJ and WindowExec
Key: SPARK-44582
URL: https://issues.apache.org/jira/browse/SPARK-44582
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-44243?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-44243:
Summary: Add a parameter to determine the locality of local shuffle reader
(was: Local shuffle reader
Wan Kun created SPARK-44243:
---
Summary: Local shuffle reader should not respect
SHUFFLE_REDUCE_LOCALITY_ENABLE
Key: SPARK-44243
URL: https://issues.apache.org/jira/browse/SPARK-44243
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-44239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-44239:
Summary: Free memory allocated by large vectors when vectors are reset
(was: Free memory allocated by
[
https://issues.apache.org/jira/browse/SPARK-44239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-44239:
Description:
When spark reads a data file into a WritableColumnVector, the memory allocated
by the
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https://issues.apache.org/jira/browse/SPARK-44239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-44239:
Description:
When spark reads a data file into a WritableColumnVector, the memory allocated
by the
[
https://issues.apache.org/jira/browse/SPARK-44239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-44239:
Summary: Free memory allocated by huge column vector (was: Reclaim memory
allocated by huge column
[
https://issues.apache.org/jira/browse/SPARK-44239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-44239:
Attachment: image-2023-06-29-13-03-15-470.png
> Reclaim memory allocated by huge column vector
>
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https://issues.apache.org/jira/browse/SPARK-44239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-44239:
Description:
When spark reads a data file into a WritableColumnVector, the memory allocated
by the
[
https://issues.apache.org/jira/browse/SPARK-44239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-44239:
Description:
When spark reads a data file into a WritableColumnVector, the memory allocated
by the
[
https://issues.apache.org/jira/browse/SPARK-44239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-44239:
Attachment: image-2023-06-29-12-58-12-256.png
> Reclaim memory allocated by huge column vector
>
Wan Kun created SPARK-44239:
---
Summary: Reclaim memory allocated by huge column vector
Key: SPARK-44239
URL: https://issues.apache.org/jira/browse/SPARK-44239
Project: Spark
Issue Type: Improvement
Wan Kun created SPARK-44109:
---
Summary: Remove duplicate preferred locations of each RDD partition
Key: SPARK-44109
URL: https://issues.apache.org/jira/browse/SPARK-44109
Project: Spark
Issue Type:
Wan Kun created SPARK-43876:
---
Summary: Enable fast hashmap for distinct queries
Key: SPARK-43876
URL: https://issues.apache.org/jira/browse/SPARK-43876
Project: Spark
Issue Type: Improvement
Wan Kun created SPARK-43593:
---
Summary: Support the minimum number of range shuffle partitions
Key: SPARK-43593
URL: https://issues.apache.org/jira/browse/SPARK-43593
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-42551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42551:
Description:
h1. *Design Sketch*
h2. How to support more subexpressions elimination cases
* Get all
[
https://issues.apache.org/jira/browse/SPARK-42551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42551:
Description:
h1. *Design Sketch*
h2. How to support more subexpressions elimination cases
* Get all
[
https://issues.apache.org/jira/browse/SPARK-42551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42551:
Description:
h1. *Design Sketch*
h2. How to support more subexpressions elimination cases
* Get all
[
https://issues.apache.org/jira/browse/SPARK-42551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42551:
Description:
h1. *Design Sketch*
* Get all common expressions from input expressions. Recursively visits
Wan Kun created SPARK-42897:
---
Summary: Avoid evaluate more than once for the variables from the
left side in the FullOuter SMJ condition
Key: SPARK-42897
URL: https://issues.apache.org/jira/browse/SPARK-42897
[
https://issues.apache.org/jira/browse/SPARK-42831?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42831:
Description:
If the result expressions in AggregateExec are not empty, we should display
them. Or we
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https://issues.apache.org/jira/browse/SPARK-42831?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42831:
Description:
If the result expressions in AggregateExec is non-empty, we should show them.
Or we will be
Wan Kun created SPARK-42831:
---
Summary: Show result expressions in AggregateExec
Key: SPARK-42831
URL: https://issues.apache.org/jira/browse/SPARK-42831
Project: Spark
Issue Type: Improvement
[
https://issues.apache.org/jira/browse/SPARK-42551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42551:
Description:
h1. *Design Sketch*
* Get all common expressions from input expressions. Recursively visits
[
https://issues.apache.org/jira/browse/SPARK-42551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42551:
Description:
h1. *Design Sketch*
* Get all common expressions from input expressions. Recursively visits
[
https://issues.apache.org/jira/browse/SPARK-42551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42551:
Description:
h1. *Design Sketch*
* Get all common expressions from input expressions. Recursively visits
[
https://issues.apache.org/jira/browse/SPARK-42551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42551:
Summary: Support more subexpression elimination cases (was: Support
subexpression elimination in
[
https://issues.apache.org/jira/browse/SPARK-42551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42551:
Summary: Support subexpression elimination in FilterExec and JoinExec
(was: Support subexpression
[
https://issues.apache.org/jira/browse/SPARK-42551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42551:
Description:
Just like SPARK-33092, We can support subexpression elimination in FilterExec
in
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https://issues.apache.org/jira/browse/SPARK-42551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42551:
Description:
Just like SPARK-33092, We can support subexpression elimination in FilterExec
in
Wan Kun created SPARK-42551:
---
Summary: Support subexpression elimination in FilterExec
Key: SPARK-42551
URL: https://issues.apache.org/jira/browse/SPARK-42551
Project: Spark
Issue Type:
Wan Kun created SPARK-42360:
---
Summary: Transform LeftOuter join with IsNull filter on right side
to Anti join
Key: SPARK-42360
URL: https://issues.apache.org/jira/browse/SPARK-42360
Project: Spark
Wan Kun created SPARK-42270:
---
Summary: Sort merge join may oom when right match rows are very
large
Key: SPARK-42270
URL: https://issues.apache.org/jira/browse/SPARK-42270
Project: Spark
Issue
[
https://issues.apache.org/jira/browse/SPARK-42223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42223:
Summary: Remove duplicate branches in CASE_WHEN and COALESCE function
(was: Remove duplicate branch in
[
https://issues.apache.org/jira/browse/SPARK-42223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-42223:
Summary: Remove duplicate branch in CASE_WHEN and COALESCE function (was:
Remove duplicat branch in
Wan Kun created SPARK-42223:
---
Summary: Remove duplicat branch in CASE_WHEN and COALESCE function
Key: SPARK-42223
URL: https://issues.apache.org/jira/browse/SPARK-42223
Project: Spark
Issue Type:
Wan Kun created SPARK-42025:
---
Summary: Optimize logs for removeBlocks and removeShuffleMerge PRC
Key: SPARK-42025
URL: https://issues.apache.org/jira/browse/SPARK-42025
Project: Spark
Issue Type:
Wan Kun created SPARK-41981:
---
Summary: Collapse percentile functions if possible
Key: SPARK-41981
URL: https://issues.apache.org/jira/browse/SPARK-41981
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-41940?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-41940:
Description:
Infer IsNotNull constraints for complex join expressions could help filter a
lot of rows
[
https://issues.apache.org/jira/browse/SPARK-41940?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-41940:
Summary: Infer IsNotNull constraints for complex join expressions (was:
Infer IsNotNull constraints for
Wan Kun created SPARK-41940:
---
Summary: Infer IsNotNull constraints for complex expression join
keys
Key: SPARK-41940
URL: https://issues.apache.org/jira/browse/SPARK-41940
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-41805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-41805:
Description:
For complex expressions in window spec definition, we extract it and replace it
with an
Wan Kun created SPARK-41805:
---
Summary: Reuse expressions in WindowSpecDefinition
Key: SPARK-41805
URL: https://issues.apache.org/jira/browse/SPARK-41805
Project: Spark
Issue Type: Improvement
Wan Kun created SPARK-41416:
---
Summary: Rewrite self join in in predicate to aggregate
Key: SPARK-41416
URL: https://issues.apache.org/jira/browse/SPARK-41416
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-41368?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-41368:
Description:
We can reorder window partition expressions by the distinct values stats.
Sorting with high
Wan Kun created SPARK-41368:
---
Summary: Reorder the window partition expressions by expression
stats
Key: SPARK-41368
URL: https://issues.apache.org/jira/browse/SPARK-41368
Project: Spark
Issue
Wan Kun created SPARK-41355:
---
Summary: Workaround hive table name validation issue
Key: SPARK-41355
URL: https://issues.apache.org/jira/browse/SPARK-41355
Project: Spark
Issue Type: Improvement
Wan Kun created SPARK-41167:
---
Summary: Optimize LikeSimplification rule to improve multi like
performance
Key: SPARK-41167
URL: https://issues.apache.org/jira/browse/SPARK-41167
Project: Spark
Wan Kun created SPARK-41159:
---
Summary: Optimize like any and like all expressions
Key: SPARK-41159
URL: https://issues.apache.org/jira/browse/SPARK-41159
Project: Spark
Issue Type: Improvement
Wan Kun created SPARK-41132:
---
Summary: Convert LikeAny and NotLikeAny to InSet if no pattern
contains wildcards
Key: SPARK-41132
URL: https://issues.apache.org/jira/browse/SPARK-41132
Project: Spark
Wan Kun created SPARK-40715:
---
Summary: Support preferring shuffled hash join thought
LocalMapThreshold is less than advisory partition size
Key: SPARK-40715
URL: https://issues.apache.org/jira/browse/SPARK-40715
Wan Kun created SPARK-40480:
---
Summary: Remove push-based shuffle data after query finished
Key: SPARK-40480
URL: https://issues.apache.org/jira/browse/SPARK-40480
Project: Spark
Issue Type: Bug
[
https://issues.apache.org/jira/browse/SPARK-40306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-40306:
Description:
For SMJ, the number of the same join key records of the right table is greater
than
[
https://issues.apache.org/jira/browse/SPARK-40306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-40306:
Attachment: image-2022-09-01-23-02-15-955.png
> Support more than Integer.MAX_VALUE of the same join key
Wan Kun created SPARK-40306:
---
Summary: Support more than Integer.MAX_VALUE of the same join key
Key: SPARK-40306
URL: https://issues.apache.org/jira/browse/SPARK-40306
Project: Spark
Issue Type:
Wan Kun created SPARK-40164:
---
Summary: The partitionSpec should be distinct keys after filter
one row of row_number
Key: SPARK-40164
URL: https://issues.apache.org/jira/browse/SPARK-40164
Project: Spark
Wan Kun created SPARK-40159:
---
Summary: Aggregate should be group only after collapse project to
aggregate
Key: SPARK-40159
URL: https://issues.apache.org/jira/browse/SPARK-40159
Project: Spark
Wan Kun created SPARK-40096:
---
Summary: Finalize shuffle merge slow due to connection creation
fails
Key: SPARK-40096
URL: https://issues.apache.org/jira/browse/SPARK-40096
Project: Spark
Issue
[
https://issues.apache.org/jira/browse/SPARK-39893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-39893:
Description:
If all group expressions are foldable, the result of this aggregate will always
be
[
https://issues.apache.org/jira/browse/SPARK-39893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-39893:
Description:
If all group expressions are foldable, the result of this aggregate will always
be
[
https://issues.apache.org/jira/browse/SPARK-39893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-39893:
Description:
If all group expressions are foldable, the result of this aggregate will always
be
[
https://issues.apache.org/jira/browse/SPARK-39893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-39893:
Description:
If all group expressions are foldable, the result of this aggregate will always
be
[
https://issues.apache.org/jira/browse/SPARK-39893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-39893:
Summary: Push limit 1 to the aggregate's child plan if grouping expressions
and aggregate expressions are
[
https://issues.apache.org/jira/browse/SPARK-39893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-39893:
Summary: Remove redundant aggregate if it is group only and all grouping
and aggregate expressions are
[
https://issues.apache.org/jira/browse/SPARK-39893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-39893:
Summary: Remove Aggregate if it is group only and all grouping and
aggregate expressions are foldable
[
https://issues.apache.org/jira/browse/SPARK-39893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wan Kun updated SPARK-39893:
Description:
If all groupingExpressions and aggregateExpressions in a aggregate are
foldable, we can
Wan Kun created SPARK-39893:
---
Summary: Remote Aggregate if it is group only and all grouping and
aggregate expressions are foldable
Key: SPARK-39893
URL: https://issues.apache.org/jira/browse/SPARK-39893
Wan Kun created SPARK-39325:
---
Summary: Improve MapOutputTracker convertMapStatuses performance
Key: SPARK-39325
URL: https://issues.apache.org/jira/browse/SPARK-39325
Project: Spark
Issue Type:
Wan Kun created SPARK-39080:
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Summary: Optimize shuffle error handler
Key: SPARK-39080
URL: https://issues.apache.org/jira/browse/SPARK-39080
Project: Spark
Issue Type: Improvement
Wan Kun created SPARK-39072:
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Summary: Fast Fail the remaining push blocks if shuffle stage
finalized
Key: SPARK-39072
URL: https://issues.apache.org/jira/browse/SPARK-39072
Project: Spark
Issue
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