cloud-fan commented on a change in pull request #24623: [SPARK-27739][SQL]
df.persist should save stats from optimized plan
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gatorsmile commented on a change in pull request #24623: [SPARK-27739][SQL]
df.persist should save stats from optimized plan
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gatorsmile commented on issue #24623: [SPARK-27739][SQL] df.persist should save
stats from optimized plan
URL: https://github.com/apache/spark/pull/24623#issuecomment-518945763
cc @cloud-fan @gengliangwang
This is an
gatorsmile removed a comment on issue #24623: [SPARK-27739][SQL] df.persist
should save stats from optimized plan
URL: https://github.com/apache/spark/pull/24623#issuecomment-518945644
We do have the leaf nodes that can provide stats. Not sure why we are unable
to test the PR? Anybody can
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Adds a v1 fallback writer implementation for v2 data source codepaths
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We do have the leaf nodes that can provide stats. Not sure why we are unable
to test the PR? Anybody can dig it
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jzhuge commented on issue #25330: [SPARK-28565][SQL] DataFrameWriter
saveAsTable support for V2 catalogs
URL: https://github.com/apache/spark/pull/25330#issuecomment-518943311
It'd better to group READ/SELECT and saveAsTable together because they both
are affected by the change in
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DataFrameWriterV2 API
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brkyvz commented on issue #25330: [SPARK-28565][SQL] DataFrameWriter
saveAsTable support for V2 catalogs
URL: https://github.com/apache/spark/pull/25330#issuecomment-518932219
Or would you mind if those are added as a follow up in supporting INSERT
INTO as well?
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brkyvz commented on issue #25330: [SPARK-28565][SQL] DataFrameWriter
saveAsTable support for V2 catalogs
URL: https://github.com/apache/spark/pull/25330#issuecomment-518931990
Sounds good. I can separate the session catalog things. That's a valid point
around requiring more tests around
brkyvz commented on a change in pull request #25348: [RFC][SPARK-28554][SQL]
Adds a v1 fallback writer implementation for v2 data source codepaths
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beliefer commented on issue #25309: [SPARK-28577][YARN]Resource capability
requested for each executor add offHeapMemorySize
URL: https://github.com/apache/spark/pull/25309#issuecomment-518931162
@jerryshao IMHO, Spark should reduce configuration parameters first. And
then I think no
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advancedxy commented on issue #25002: [SPARK-28203][Core][Python] PythonRDD
should respect SparkContext's hadoop configuration
URL: https://github.com/apache/spark/pull/25002#issuecomment-518921394
Gently ping @cloud-fan, @HyukjinKwon and @dongjoon-hyun.
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srowen commented on issue #25279: [SPARK-28519][SQL] Use StrictMath log, pow
functions for platform independence
URL: https://github.com/apache/spark/pull/25279#issuecomment-518917299
I did not benchmark this as I think it's a correctness issue that would be
worth a perf hit. I also
beliefer commented on issue #25001: [SPARK-28083][SQL] Support LIKE ... ESCAPE
syntax
URL: https://github.com/apache/spark/pull/25001#issuecomment-518917065
@dongjoon-hyun Could you check this PR?
This is an automated
beliefer commented on issue #25366: [SPARK-27924][SQL][TEST][FOLLOW-UP] Open
comment about boolean test
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> I made a PR to you, @beliefer . Please review and merge.
>
> *
dongjoon-hyun edited a comment on issue #25229: [SPARK-27900][K8s] Add jvm oom
flag
URL: https://github.com/apache/spark/pull/25229#issuecomment-518916061
@skonto . My name is `Dongjoon Hyun` with GitHub id `@dongjoon-hyun`. :)
I knew the history of #24796 and Spark uses
dongjoon-hyun commented on issue #25229: [SPARK-27900][K8s] Add jvm oom flag
URL: https://github.com/apache/spark/pull/25229#issuecomment-518916061
@skonto . My name is `Dongjoon Hyun` with GitHub id `@dongjoon-hyun`. :)
I knew the history of #24792 and Spark uses
gatorsmile commented on issue #25279: [SPARK-28519][SQL] Use StrictMath log,
pow functions for platform independence
URL: https://github.com/apache/spark/pull/25279#issuecomment-518915141
@srowen Could you show the perf benchmark? The performance regression is
expected, right?
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