Chao Sun created SPARK-36695:
Summary: Allow passing V2 functions to data sources via V2 filters
Key: SPARK-36695
URL: https://issues.apache.org/jira/browse/SPARK-36695
Project: Spark
Issue Type:
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Chao Sun commented on SPARK-36676:
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Will post a PR soon
> Create shaded Hive module an
Chao Sun created SPARK-36676:
Summary: Create shaded Hive module and upgrade to higher version
of Guava
Key: SPARK-36676
URL: https://issues.apache.org/jira/browse/SPARK-36676
Project: Spark
Iss
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Chao Sun commented on SPARK-34276:
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I did some study on the code and it seems this will
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Chao Sun commented on SPARK-34276:
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[~smilegator] yea seems like Spark will be affected
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Chao Sun updated SPARK-36528:
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Description: Currently Spark first decode (e.g., RLE/bit-packed, PLAIN)
into column vector and then oper
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Chao Sun updated SPARK-36528:
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Description: Currently Spark first decode (e.g., RLE/bit-packed, PLAIN)
into column vector and then oper
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Chao Sun updated SPARK-36527:
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Description: At the moment the Parquet vectorized reader will eagerly
decode all the columns that are in
Chao Sun created SPARK-36529:
Summary: Decouple CPU with IO work in vectorized Parquet reader
Key: SPARK-36529
URL: https://issues.apache.org/jira/browse/SPARK-36529
Project: Spark
Issue Type: Su
Chao Sun created SPARK-36528:
Summary: Implement lazy decoding for the vectorized Parquet reader
Key: SPARK-36528
URL: https://issues.apache.org/jira/browse/SPARK-36528
Project: Spark
Issue Type:
Chao Sun created SPARK-36527:
Summary: Implement lazy materialization for the vectorized Parquet
reader
Key: SPARK-36527
URL: https://issues.apache.org/jira/browse/SPARK-36527
Project: Spark
Iss
Chao Sun created SPARK-36511:
Summary: Remove ColumnIO once PARQUET-2050 is released in Parquet
1.13
Key: SPARK-36511
URL: https://issues.apache.org/jira/browse/SPARK-36511
Project: Spark
Issue
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Chao Sun updated SPARK-34861:
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Comment: was deleted
(was: Synced with [~chengsu] offline and I will take over this JIRA.)
> Support ne
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Chao Sun commented on SPARK-36440:
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Hmm really? Spark 2.x support this? I'm not sure wh
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Chao Sun commented on SPARK-36317:
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[~vsowrirajan]: the change is already reverted - ar
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Chao Sun updated SPARK-36137:
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Description:
At the moment {{getPartitionsByFilter}} in Hive shim only fallback to use
{{getAllPartitio
Chao Sun created SPARK-36137:
Summary: HiveShim always fallback to getAllPartitionsOf regardless
of whether directSQL is enabled in remote HMS
Key: SPARK-36137
URL: https://issues.apache.org/jira/browse/SPARK-36137
Chao Sun created SPARK-36136:
Summary: Move PruneFileSourcePartitionsSuite out of
org.apache.spark.sql.hive
Key: SPARK-36136
URL: https://issues.apache.org/jira/browse/SPARK-36136
Project: Spark
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Chao Sun commented on SPARK-36128:
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Thanks, I'm slightly inclined to reuse the existing
Chao Sun created SPARK-36131:
Summary: Refactor ParquetColumnIndexSuite
Key: SPARK-36131
URL: https://issues.apache.org/jira/browse/SPARK-36131
Project: Spark
Issue Type: Sub-task
Compo
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Chao Sun commented on SPARK-36128:
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[~hyukjin.kwon] you are right - I didn't know this
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Chao Sun edited comment on SPARK-36128 at 7/14/21, 4:24 AM:
Chao Sun created SPARK-36128:
Summary: CatalogFileIndex.filterPartitions should respect
spark.sql.hive.metastorePartitionPruning
Key: SPARK-36128
URL: https://issues.apache.org/jira/browse/SPARK-36128
Pro
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Chao Sun updated SPARK-36123:
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Labels: correctness (was: )
> Parquet vectorized reader doesn't skip null values correctly
> --
Chao Sun created SPARK-36123:
Summary: Parquet vectorized reader doesn't skip null values
correctly
Key: SPARK-36123
URL: https://issues.apache.org/jira/browse/SPARK-36123
Project: Spark
Issue T
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Chao Sun updated SPARK-35743:
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Labels: parquet (was: )
> Improve Parquet vectorized reader
> -
>
>
Chao Sun created SPARK-36056:
Summary: Combine readBatch and readIntegers in
VectorizedRleValuesReader
Key: SPARK-36056
URL: https://issues.apache.org/jira/browse/SPARK-36056
Project: Spark
Issu
Chao Sun created SPARK-35959:
Summary: Add a new Maven profile "no-shaded-client" for older
Hadoop 3.x versions
Key: SPARK-35959
URL: https://issues.apache.org/jira/browse/SPARK-35959
Project: Spark
Chao Sun created SPARK-35867:
Summary: Enable vectorized read for
VectorizedPlainValuesReader.readBooleans
Key: SPARK-35867
URL: https://issues.apache.org/jira/browse/SPARK-35867
Project: Spark
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Chao Sun updated SPARK-35846:
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Description: This is mostly refactoring work to complete SPARK-34859
> Introduce ParquetReadState to tra
Chao Sun created SPARK-35846:
Summary: Introduce ParquetReadState to track various states while
reading a Parquet column chunk
Key: SPARK-35846
URL: https://issues.apache.org/jira/browse/SPARK-35846
Proje
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Chao Sun updated SPARK-35640:
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Parent: SPARK-35743
Issue Type: Sub-task (was: Improvement)
> Refactor Parquet vectorized reade
Chao Sun created SPARK-35743:
Summary: Improve Parquet vectorized reader
Key: SPARK-35743
URL: https://issues.apache.org/jira/browse/SPARK-35743
Project: Spark
Issue Type: Improvement
C
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Chao Sun commented on SPARK-34861:
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Synced with [~chengsu] offline and I will take over
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Chao Sun updated SPARK-35703:
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Description: Currently Spark has {{HashClusteredDistribution}} and
{{ClusteredDistribution}}. The only d
Chao Sun created SPARK-35703:
Summary: Remove HashClusteredDistribution
Key: SPARK-35703
URL: https://issues.apache.org/jira/browse/SPARK-35703
Project: Spark
Issue Type: Improvement
Co
Chao Sun created SPARK-35640:
Summary: Refactor Parquet vectorized reader to remove duplicated
code paths
Key: SPARK-35640
URL: https://issues.apache.org/jira/browse/SPARK-35640
Project: Spark
I
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Chao Sun updated SPARK-34859:
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Priority: Critical (was: Major)
> Vectorized parquet reader needs synchronization among pages for colum
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Chao Sun updated SPARK-34859:
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Labels: correctness (was: )
> Vectorized parquet reader needs synchronization among pages for column in
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Chao Sun commented on SPARK-35461:
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Actually this also fails when turning off the vecto
Chao Sun created SPARK-35461:
Summary: Error when reading dictionary-encoded Parquet int column
when read schema is bigint
Key: SPARK-35461
URL: https://issues.apache.org/jira/browse/SPARK-35461
Project:
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Chao Sun commented on SPARK-35422:
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Thanks [~dongjoon]. I've opened a PR for the above
Chao Sun created SPARK-35390:
Summary: Handle type coercion when resolving V2 functions
Key: SPARK-35390
URL: https://issues.apache.org/jira/browse/SPARK-35390
Project: Spark
Issue Type: Sub-tas
Chao Sun created SPARK-35389:
Summary: Analyzer should set progagateNull to false for magic
function invocation
Key: SPARK-35389
URL: https://issues.apache.org/jira/browse/SPARK-35389
Project: Spark
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Chao Sun updated SPARK-35384:
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Issue Type: Improvement (was: Bug)
> Improve performance for InvokeLike.invoke
> --
Chao Sun created SPARK-35384:
Summary: Improve performance for InvokeLike.invoke
Key: SPARK-35384
URL: https://issues.apache.org/jira/browse/SPARK-35384
Project: Spark
Issue Type: Bug
C
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Chao Sun updated SPARK-35361:
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Priority: Minor (was: Major)
> Improve performance for ApplyFunctionExpression
> --
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Chao Sun updated SPARK-35361:
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Priority: Major (was: Minor)
> Improve performance for ApplyFunctionExpression
> --
Chao Sun created SPARK-35361:
Summary: Improve performance for ApplyFunctionExpression
Key: SPARK-35361
URL: https://issues.apache.org/jira/browse/SPARK-35361
Project: Spark
Issue Type: Sub-task
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Chao Sun updated SPARK-35321:
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Issue Type: Bug (was: Improvement)
> Spark 3.x can't talk to HMS 1.2.x and lower due to get_all_functio
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Chao Sun commented on SPARK-35321:
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[~yumwang] I'm thinking of using
[Hive#getWithFast
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Chao Sun commented on SPARK-35321:
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[~xkrogen] yes that can help to solve the issue, bu
Chao Sun created SPARK-35321:
Summary: Spark 3.x can't talk to HMS 1.2.x and lower due to
get_all_functions Thrift API missing
Key: SPARK-35321
URL: https://issues.apache.org/jira/browse/SPARK-35321
Proje
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Chao Sun updated SPARK-35321:
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Description:
https://issues.apache.org/jira/browse/HIVE-10319 introduced a new API
{{get_all_functions}
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Chao Sun updated SPARK-35315:
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Priority: Minor (was: Major)
> Keep benchmark result consistent between spark-submit and SBT
>
Chao Sun created SPARK-35315:
Summary: Keep benchmark result consistent between spark-submit and
SBT
Key: SPARK-35315
URL: https://issues.apache.org/jira/browse/SPARK-35315
Project: Spark
Issue
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Chao Sun updated SPARK-35281:
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Priority: Minor (was: Major)
> StaticInvoke should not apply boxing if return type is primitive
> -
Chao Sun created SPARK-35281:
Summary: StaticInvoke should not apply boxing if return type is
primitive
Key: SPARK-35281
URL: https://issues.apache.org/jira/browse/SPARK-35281
Project: Spark
Iss
Chao Sun created SPARK-35261:
Summary: Support static invoke for stateless UDF
Key: SPARK-35261
URL: https://issues.apache.org/jira/browse/SPARK-35261
Project: Spark
Issue Type: Sub-task
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Chao Sun updated SPARK-34981:
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Parent: SPARK-35260
Issue Type: Sub-task (was: Improvement)
> Implement V2 function resolution
Chao Sun created SPARK-35260:
Summary: DataSourceV2 Function Catalog implementation
Key: SPARK-35260
URL: https://issues.apache.org/jira/browse/SPARK-35260
Project: Spark
Issue Type: Umbrella
Chao Sun created SPARK-35233:
Summary: Switch from bintray to scala.jfrog.io for SBT download in
branch 2.4 and 3.0
Key: SPARK-35233
URL: https://issues.apache.org/jira/browse/SPARK-35233
Project: Spark
Chao Sun created SPARK-35232:
Summary: Nested column pruning should retain column metadata
Key: SPARK-35232
URL: https://issues.apache.org/jira/browse/SPARK-35232
Project: Spark
Issue Type: Bug
Chao Sun created SPARK-35195:
Summary: Move InMemoryTable etc to
org.apache.spark.sql.connector.catalog
Key: SPARK-35195
URL: https://issues.apache.org/jira/browse/SPARK-35195
Project: Spark
Iss
Chao Sun created SPARK-35003:
Summary: Improve performance for reading smallint in vectorized
Parquet reader
Key: SPARK-35003
URL: https://issues.apache.org/jira/browse/SPARK-35003
Project: Spark
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Chao Sun commented on SPARK-34780:
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Hi [~mikechen] (and sorry for the late reply again)
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Chao Sun commented on SPARK-34981:
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Will submit a PR soon.
> Implement V2 function res
Chao Sun created SPARK-34981:
Summary: Implement V2 function resolution and evaluation
Key: SPARK-34981
URL: https://issues.apache.org/jira/browse/SPARK-34981
Project: Spark
Issue Type: Improvem
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Chao Sun updated SPARK-34973:
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Priority: Minor (was: Major)
> Cleanup unused fields and methods in vectorized Parquet reader
> ---
Chao Sun created SPARK-34973:
Summary: Cleanup unused fields and methods in vectorized Parquet
reader
Key: SPARK-34973
URL: https://issues.apache.org/jira/browse/SPARK-34973
Project: Spark
Issue
Chao Sun created SPARK-34947:
Summary: Streaming write to a V2 table should invalidate its
associated cache
Key: SPARK-34947
URL: https://issues.apache.org/jira/browse/SPARK-34947
Project: Spark
Chao Sun created SPARK-34945:
Summary: Fix Javadoc for catalyst module
Key: SPARK-34945
URL: https://issues.apache.org/jira/browse/SPARK-34945
Project: Spark
Issue Type: Improvement
Com
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Chao Sun commented on SPARK-34780:
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[~mikechen], yes you're right. I'm not sure if this
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Chao Sun commented on SPARK-34780:
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Sorry for the late reply [~mikechen]! There's somet
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Chao Sun commented on SPARK-30497:
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[~cloud_fan] this is resolved right?
> migrate DES
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Chao Sun commented on SPARK-34780:
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Thanks for the reporting [~mikechen], the test case
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Chao Sun updated SPARK-32703:
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Description: Currently in {{SpecificParquetRecordReaderBase}} we use
deprecated APIs in a few places fro
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Chao Sun updated SPARK-32703:
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Summary: Replace deprecated API calls from SpecificParquetRecordReaderBase
(was: Enable dictionary filt
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Chao Sun commented on SPARK-33212:
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Yes. I think the only class Spark needs from this j
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Chao Sun edited comment on SPARK-33212 at 2/25/21, 2:21 AM:
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Chao Sun commented on SPARK-33212:
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I was able to reproduce the error in my local envir
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Chao Sun commented on SPARK-33212:
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Thanks again [~ouyangxc.zte].
{{org.apache.hadoop.
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Chao Sun commented on SPARK-33212:
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Thanks for the details [~ouyangxc.zte]!
{quote}
Ge
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Chao Sun commented on SPARK-33212:
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Thanks for the report [~ouyangxc.zte]. Can you prov
Chao Sun created SPARK-34419:
Summary: Move PartitionTransforms from java to scala directory
Key: SPARK-34419
URL: https://issues.apache.org/jira/browse/SPARK-34419
Project: Spark
Issue Type: Imp
Chao Sun created SPARK-34347:
Summary: CatalogImpl.uncacheTable should invalidate in cascade for
temp views
Key: SPARK-34347
URL: https://issues.apache.org/jira/browse/SPARK-34347
Project: Spark
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Chao Sun resolved SPARK-34108.
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Resolution: Duplicate
> Cache lookup doesn't work in certain cases
> -
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Chao Sun updated SPARK-34108:
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Description:
Currently, caching a temporary or permenant view doesn't work in certain cases.
For instan
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Chao Sun updated SPARK-34108:
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Summary: Cache lookup doesn't work in certain cases (was: Caching with
permanent view doesn't work in c
Chao Sun created SPARK-34271:
Summary: Use majorMinorPatchVersion for Hive version parsing
Key: SPARK-34271
URL: https://issues.apache.org/jira/browse/SPARK-34271
Project: Spark
Issue Type: Impro
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Chao Sun commented on SPARK-27589:
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[~xkrogen] FWIW I'm working on a POC for SPARK-3293
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Chao Sun commented on SPARK-34052:
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[~hyukjin.kwon] [~cloud_fan] do you think we should
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Chao Sun commented on SPARK-33507:
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[~aokolnychyi] could you elaborate on the question?
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Chao Sun edited comment on SPARK-33507 at 1/14/21, 5:23 AM:
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Chao Sun commented on SPARK-33507:
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Thanks [~hyukjin.kwon]. From my side, there is no r
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https://issues.apache.org/jira/browse/SPARK-34108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chao Sun updated SPARK-34108:
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Summary: Caching with permanent view doesn't work in certain cases (was:
Caching doesn't work completel
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https://issues.apache.org/jira/browse/SPARK-34108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chao Sun updated SPARK-34108:
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Description:
Currently, caching a permanent view doesn't work in certain cases. For
instance, in the fo
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https://issues.apache.org/jira/browse/SPARK-34108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chao Sun updated SPARK-34108:
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Description:
Currently, caching a permanent view doesn't work in some cases. For instance,
in the follo
Chao Sun created SPARK-34108:
Summary: Caching doesn't work completely with permanent view
Key: SPARK-34108
URL: https://issues.apache.org/jira/browse/SPARK-34108
Project: Spark
Issue Type: Sub-t
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https://issues.apache.org/jira/browse/SPARK-33311?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chao Sun updated SPARK-33311:
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Parent: SPARK-33507
Issue Type: Sub-task (was: Improvement)
> Improve semantics for REFRESH TAB
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