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Chao Sun resolved SPARK-41952.
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Fix Version/s: 3.2.4
3.4.0
3.3.3
Resolution: Fixed
>
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Chao Sun reassigned SPARK-41952:
Assignee: Cheng Pan
> Upgrade Parquet to fix off-heap memory leaks in Zstd codec
>
Chao Sun created SPARK-42454:
Summary: SPJ: encapsulate all SPJ related parameters in
BatchScanExec
Key: SPARK-42454
URL: https://issues.apache.org/jira/browse/SPARK-42454
Project: Spark
Issue
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Chao Sun commented on SPARK-33807:
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This is actually already resolved as part of SPARK-37377.
> Data
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Chao Sun reassigned SPARK-33807:
Assignee: (was: Chao Sun)
> Data Source V2: Remove read specific distributions
>
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Chao Sun reassigned SPARK-33807:
Assignee: Chao Sun
> Data Source V2: Remove read specific distributions
>
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Chao Sun updated SPARK-41470:
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Fix Version/s: 3.4.0
(was: 3.5.0)
> SPJ: Spark shouldn't assume InternalRow
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Chao Sun reassigned SPARK-41470:
Assignee: Mars
> SPJ: Spark shouldn't assume InternalRow implements equals and hashCode
>
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Chao Sun resolved SPARK-41470.
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Fix Version/s: 3.5.0
Resolution: Fixed
Issue resolved by pull request 39687
Chao Sun created SPARK-42040:
Summary: SPJ: Introduce a new API for V2 input partition to report
partition size
Key: SPARK-42040
URL: https://issues.apache.org/jira/browse/SPARK-42040
Project: Spark
Chao Sun created SPARK-42039:
Summary: SPJ: Remove Option in
KeyGroupedPartitioning#partitionValues
Key: SPARK-42039
URL: https://issues.apache.org/jira/browse/SPARK-42039
Project: Spark
Issue
Chao Sun created SPARK-42038:
Summary: SPJ: Support partially clustered distribution
Key: SPARK-42038
URL: https://issues.apache.org/jira/browse/SPARK-42038
Project: Spark
Issue Type: Sub-task
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Chao Sun updated SPARK-36529:
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Parent: (was: SPARK-35743)
Issue Type: Bug (was: Sub-task)
> Decouple CPU with IO work in
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Chao Sun updated SPARK-36529:
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Issue Type: Improvement (was: Bug)
> Decouple CPU with IO work in vectorized Parquet reader
>
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Chao Sun updated SPARK-36528:
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Parent: (was: SPARK-35743)
Issue Type: Bug (was: Sub-task)
> Implement lazy decoding for
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Chao Sun updated SPARK-36528:
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Issue Type: New Feature (was: Bug)
> Implement lazy decoding for the vectorized Parquet reader
>
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Chao Sun resolved SPARK-35743.
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Fix Version/s: 3.4.0
Resolution: Fixed
> Improve Parquet vectorized reader
>
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Chao Sun updated SPARK-36527:
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Parent: (was: SPARK-35743)
Issue Type: Improvement (was: Sub-task)
> Implement lazy
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Chao Sun reassigned SPARK-41413:
Assignee: Chao Sun
> SPJ: Avoid shuffle when partition keys mismatch, but join expressions are
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Chao Sun resolved SPARK-41413.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 38950
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Chao Sun updated SPARK-41470:
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Summary: SPJ: Spark shouldn't assume InternalRow implements equals and
hashCode (was: SPJ shouldn't
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Chao Sun updated SPARK-41471:
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Summary: SPJ: Reduce Spark shuffle when only one side of a join is
KeyGroupedPartitioning (was: SPJ:
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Chao Sun updated SPARK-40946:
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Summary: SPJ: Introduce a new DataSource V2 interface
SupportsPushDownClusterKeys (was: Introduce a
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Chao Sun updated SPARK-41398:
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Summary: SPJ: Relax constraints on Storage-Partitioned Join when partition
keys after runtime filtering
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Chao Sun updated SPARK-37375:
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Summary: Umbrella: Storage Partitioned Join (SPJ) (was: Umbrella: Storage
Partitioned Join)
>
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Chao Sun updated SPARK-41413:
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Summary: SPJ: Spark should avoid shuffle when partition keys mismatch, but
join expressions are
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Chao Sun updated SPARK-41413:
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Summary: SPJ: Avoid shuffle when partition keys mismatch, but join
expressions are compatible (was:
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Chao Sun updated SPARK-37377:
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Summary: SPJ: Initial implementation of Storage-Partitioned Join (was:
Initial implementation of
Chao Sun created SPARK-41471:
Summary: SPJ: reduce Spark shuffle when only one side of a join is
KeyGroupedPartitioning
Key: SPARK-41471
URL: https://issues.apache.org/jira/browse/SPARK-41471
Project:
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Chao Sun updated SPARK-37378:
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Summary: SPJ: Convert V2 Transform expressions into catalyst expressions
and load their associated
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Chao Sun updated SPARK-37376:
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Summary: SPJ: Introduce a new DataSource V2 interface HasPartitionKey
(was: Introduce a new
Chao Sun created SPARK-41470:
Summary: SPJ shouldn't assume InternalRow implements equals and
hashCode
Key: SPARK-41470
URL: https://issues.apache.org/jira/browse/SPARK-41470
Project: Spark
Chao Sun created SPARK-41413:
Summary: Storage-Partitioned Join should avoid shuffle when
partition keys mismatch, but join expressions are compatible
Key: SPARK-41413
URL:
Chao Sun created SPARK-41398:
Summary: Relax constraints on Storage-Partitioned Join when
partition keys after runtime filtering do not match
Key: SPARK-41398
URL: https://issues.apache.org/jira/browse/SPARK-41398
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Chao Sun reassigned SPARK-41096:
Assignee: Kazuyuki Tanimura
> Support reading parquet FIXED_LEN_BYTE_ARRAY type
>
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Chao Sun resolved SPARK-41096.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 38628
Chao Sun created SPARK-41091:
Summary: Fix Docker release tool for branch-3.2
Key: SPARK-41091
URL: https://issues.apache.org/jira/browse/SPARK-41091
Project: Spark
Issue Type: Improvement
[ https://issues.apache.org/jira/browse/SPARK-33807 ]
Chao Sun deleted comment on SPARK-33807:
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was (Author: JIRAUSER295436):
Thank you for sharing such good information. Very informative and effective
post.
[ https://issues.apache.org/jira/browse/SPARK-33807 ]
Chao Sun deleted comment on SPARK-33807:
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was (Author: JIRAUSER294516):
Great job. [Salesforce Marketing Cloud
[ https://issues.apache.org/jira/browse/SPARK-33807 ]
Chao Sun deleted comment on SPARK-33807:
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was (Author: JIRAUSER295111):
Very informative and effective post. [Vlocity Platform Developer
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Chao Sun commented on SPARK-40876:
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Yes, Spark doesn't support int -> long for Parquet. It's a long
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Chao Sun commented on SPARK-40703:
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Thanks [~bryanck] . Now I see where the issue is.
In your pyspark
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Chao Sun commented on SPARK-40703:
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Hmm somehow in the unit test I was able to see that changing
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Chao Sun commented on SPARK-40703:
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(one idea is that {{SinglePartitionSpec#canCreatePartitioing}}
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Chao Sun commented on SPARK-40703:
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Hmm interesting. Let me try to come up with a unit test and check
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Chao Sun commented on SPARK-40703:
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I see. The reason HashPartitioning is not picked as the best
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Chao Sun updated SPARK-40703:
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Component/s: SQL
(was: Spark Core)
> Performance regression for joins in Spark 3.3
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Chao Sun commented on SPARK-40508:
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[~dongjoon][~viirya] could you add [~yuzhih...@gmail.com] to the
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Chao Sun resolved SPARK-40508.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37952
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Chao Sun updated SPARK-40169:
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Fix Version/s: 3.2.3
> Fix the issue with Parquet column index and predicate pushdown in Data source
>
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Chao Sun reassigned SPARK-40169:
Assignee: Chao Sun
> Fix the issue with Parquet column index and predicate pushdown in Data
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Chao Sun updated SPARK-40169:
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Fix Version/s: 3.3.1
> Fix the issue with Parquet column index and predicate pushdown in Data source
>
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Chao Sun resolved SPARK-40169.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37881
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Chao Sun resolved SPARK-40295.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37749
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Chao Sun reassigned SPARK-40295:
Assignee: Anton Okolnychyi
> Allow v2 functions with literal args in write distribution and
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Chao Sun commented on SPARK-40128:
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Seems we need to add [~dennishuo] as Spark contributor in order to
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Chao Sun resolved SPARK-40128.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37557
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Chao Sun reassigned SPARK-40110:
Assignee: Kazuyuki Tanimura
> Add JDBCWithAQESuite
>
>
>
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Chao Sun resolved SPARK-40110.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37544
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Chao Sun reassigned SPARK-40052:
Assignee: Ivan Sadikov
> Handle direct byte buffers in VectorizedDeltaBinaryPackedReader
>
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Chao Sun resolved SPARK-40052.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37485
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Chao Sun updated SPARK-39833:
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Affects Version/s: 3.3.0
> Filtered parquet data frame count() and show() produce inconsistent results
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Chao Sun commented on SPARK-39863:
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Thanks [~ste...@apache.org], noted
> Upgrade Hadoop to 3.3.4
>
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Chao Sun updated SPARK-39951:
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Fix Version/s: 3.3.1
> Support columnar batches with nested fields in Parquet V2
>
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Chao Sun resolved SPARK-39951.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37379
Chao Sun created SPARK-39863:
Summary: Upgrade Hadoop to 3.3.4
Key: SPARK-39863
URL: https://issues.apache.org/jira/browse/SPARK-39863
Project: Spark
Issue Type: Improvement
Chao Sun created SPARK-39657:
Summary: YARN AM client should call the non-static setTokensConf
method
Key: SPARK-39657
URL: https://issues.apache.org/jira/browse/SPARK-39657
Project: Spark
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Chao Sun resolved SPARK-39638.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37029
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Chao Sun reassigned SPARK-39638:
Assignee: Yang Jie
> Change to use `ConstantColumnVector` to store partition columns in
>
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Chao Sun commented on SPARK-39644:
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Thanks. Following this JIRA now.
> Add RangePartitioning to
Title: Message Title
Chao Sun assigned an
Title: Message Title
Chao Sun resolved as
Title: Message Title
Chao Sun updated an
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Chao Sun resolved SPARK-38647.
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Fix Version/s: 3.4.0
Assignee: Enrico Minack
Resolution: Fixed
> Add
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Chao Sun commented on SPARK-29260:
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Thanks [~yumwang]. Spark currently throw exception when Hive client
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Chao Sun commented on SPARK-29260:
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[~yumwang] Looks like HIVE-8472 is for the server side changes of
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Chao Sun updated SPARK-39313:
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Fix Version/s: 3.3.0
> V2ExpressionUtils.toCatalystOrdering should fail if V2Expression can not be
>
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Chao Sun reassigned SPARK-39313:
Assignee: Cheng Pan
> V2ExpressionUtils.toCatalystOrdering should fail if V2Expression can not
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Chao Sun resolved SPARK-39313.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 36697
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Chao Sun updated SPARK-39313:
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Priority: Blocker (was: Critical)
> V2ExpressionUtils.toCatalystOrdering should fail if V2Expression
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Chao Sun resolved SPARK-39086.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 36427
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Chao Sun reassigned SPARK-39086:
Assignee: Ivan Sadikov
> Support UDT in Spark Parquet vectorized reader
>
Chao Sun created SPARK-39119:
Summary: Upgrade to Hadoop 3.3.3
Key: SPARK-39119
URL: https://issues.apache.org/jira/browse/SPARK-39119
Project: Spark
Issue Type: Improvement
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Chao Sun updated SPARK-38891:
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Fix Version/s: 3.3.0
> Skipping allocating vector for repetition & definition levels when possible
>
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Chao Sun resolved SPARK-38891.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 36202
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Chao Sun reassigned SPARK-38891:
Assignee: Chao Sun
> Skipping allocating vector for repetition & definition levels when possible
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Chao Sun reassigned SPARK-38573:
Assignee: Kazuyuki Tanimura
> Support Auto Partition Statistics Collection
>
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Chao Sun resolved SPARK-38573.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 36067
Chao Sun created SPARK-38891:
Summary: Skipping allocating vector for repetition & definition
levels when possible
Key: SPARK-38891
URL: https://issues.apache.org/jira/browse/SPARK-38891
Project: Spark
Chao Sun created SPARK-38840:
Summary: Enable
spark.sql.parquet.enableNestedColumnVectorizedReader on master branch by default
Key: SPARK-38840
URL: https://issues.apache.org/jira/browse/SPARK-38840
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Chao Sun resolved SPARK-38786.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 36075
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Chao Sun reassigned SPARK-38786:
Assignee: Kazuyuki Tanimura
> Test Bug in StatisticsSuite "change stats after add/drop partition
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https://issues.apache.org/jira/browse/SPARK-34863?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chao Sun reassigned SPARK-34863:
Assignee: Chao Sun (was: Apache Spark)
> Support nested column in Spark Parquet vectorized
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https://issues.apache.org/jira/browse/SPARK-37378?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chao Sun updated SPARK-37378:
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Fix Version/s: 3.4.0
> Convert V2 Transform expressions into catalyst expressions and load their
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Chao Sun resolved SPARK-37378.
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Resolution: Duplicate
This JIRA is covered as part of SPARK-37377
> Convert V2 Transform expressions
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Chao Sun updated SPARK-37377:
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Description: This Jira tracks the initial implementation of
storage-partitioned join. (was: Currently
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Chao Sun updated SPARK-37377:
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Summary: Initial implementation of Storage-Partitioned Join (was: Refactor
V2 Partitioning interface
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https://issues.apache.org/jira/browse/SPARK-37974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chao Sun updated SPARK-37974:
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Fix Version/s: 3.3.0
(was: 3.4.0)
> Implement vectorized DELTA_BYTE_ARRAY and
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https://issues.apache.org/jira/browse/SPARK-37974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chao Sun resolved SPARK-37974.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 35262
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https://issues.apache.org/jira/browse/SPARK-37974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chao Sun reassigned SPARK-37974:
Assignee: Parth Chandra
> Implement vectorized DELTA_BYTE_ARRAY and DELTA_LENGTH_BYTE_ARRAY
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