LantaoJin commented on a change in pull request #23951:
[SPARK-13704][CORE][YARN] Re-implement RackResolver to reduce resolving time
URL: https://github.com/apache/spark/pull/23951#discussion_r266302248
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SparkQA commented on issue #24121: [SPARK-26979][PYTHON][FOLLOW-UP] Make binary
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HyukjinKwon commented on issue #23921: [SPARK-26560][SQL]:Repeat select on
HiveUDF fails
URL: https://github.com/apache/spark/pull/23921#issuecomment-473779440
Can you make the PR description concise? It's difficult to read and follow.
Why does the classloader change in the second time?
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10110346 commented on issue #24105: [SPARK-27173][SQL]Remove （lz4，brotli，zstd）
for hive parquet table
URL: https://github.com/apache/spark/pull/24105#issuecomment-473778708
>
>
> Does `parquet-hadoop-bundle-1.10.1.jar` support these compression codecs?
Yeah, it supports
beliefer commented on issue #24108: [MINOR][SQL]Fix incorrect comment of
SessionCatalog.
URL: https://github.com/apache/spark/pull/24108#issuecomment-473778314
@srowen ok，thanks！
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HeartSaVioR edited a comment on issue #24113: [MINOR][CORE] Replace Scala
forkjoin package to Java bundled one
URL: https://github.com/apache/spark/pull/24113#issuecomment-473774979
Btw, it would be ideal to have test matrix on Scala 2.11 vs Scala 2.12 in
Jenkins which would find issue
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-473775151
The PR is updated as @maropu 's suggestion.
@cloud-fan , @dbtsai , @viirya . How do you think
HeartSaVioR commented on issue #24113: [MINOR][CORE] Replace Scala forkjoin
package to Java bundled one
URL: https://github.com/apache/spark/pull/24113#issuecomment-473774979
Btw, it would be ideal to have test matrix on Scala 2.11 vs Scala 2.12 in
Jenkins which would find issue which
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HeartSaVioR commented on issue #24113: [MINOR][CORE] Replace Scala forkjoin
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URL: https://github.com/apache/spark/pull/24113#issuecomment-473773947
I just realized that the code would not compile with `-Pscala-2.11` profile,
since `ForkJoinTaskSupport` in Scala
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Support nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#discussion_r266296640
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zhaorongsheng commented on a change in pull request #24118: [SPARK-26736][SQL]
if filter condition has rand() function it does not do partition prunning
URL: https://github.com/apache/spark/pull/24118#discussion_r266296833
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Support nested-column pruning over limit/sample/repartition
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Support nested-column pruning over limit/sample/repartition
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wangyum commented on issue #23899: [SPARK-26969][spark-thriftserver] Bigdecimal
values shall be converted to HiveDecimal type for succesful processing of query
using ODBC client
URL: https://github.com/apache/spark/pull/23899#issuecomment-473770131
@sujith71955 Could you please try these
dongjoon-hyun commented on a change in pull request #23964: [SPARK-26975][SQL]
Support nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#discussion_r266294562
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sujith71955 commented on issue #23899: [SPARK-26969][spark-thriftserver]
Bigdecimal values shall be converted to HiveDecimal type for succesful
processing of query using ODBC client
URL: https://github.com/apache/spark/pull/23899#issuecomment-473769105
gentle ping @cloud-fan
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HyukjinKwon commented on issue #23778: [SPARK-24935][SQL] : Problem with
Executing Hive UDF's from Spark 2.2 Onwards
URL: https://github.com/apache/spark/pull/23778#issuecomment-473768768
We're now going ahead for Spark 3.0. Do we still need to support this case
of Hive UDAF back? Sorry
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URL: https://github.com/apache/spark/pull/24118#discussion_r266292141
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HeartSaVioR commented on a change in pull request #24113: [MINOR][CORE] Replace
Scala forkjoin package to Java bundled one
URL: https://github.com/apache/spark/pull/24113#discussion_r266290735
##
File path: core/src/main/scala/org/apache/spark/util/ThreadUtils.scala
##
@@
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> Regarding the scala style failure you can check the whole project locally
with `./dev/sbt-checkstyle`.
>
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##
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HyukjinKwon commented on issue #24121: [SPARK-26979][PYTHON][FOLLOW-UP] Make
binary math/string functions take string as columns as well
URL: https://github.com/apache/spark/pull/24121#issuecomment-473760114
@asmello, @rxin, @srowen, @cloud-fan, this is the followup of
maropu commented on issue #24107: [SPARK-27174][SQL] Add support for casting
integer types to binary
URL: https://github.com/apache/spark/pull/24107#issuecomment-473760004
Have you checked https://issues.apache.org/jira/browse/SPARK-15910?
I think you need to change that test cuz this
HyukjinKwon opened a new pull request #24121: [SPARK-26979][PYTHON][FOLLOW-UP]
Make binary math/string functions take string as columns as well
URL: https://github.com/apache/spark/pull/24121
## What changes were proposed in this pull request?
This is a followup of
HyukjinKwon commented on a change in pull request #23882: [SPARK-26979][PYTHON]
Add missing string column name support for some SQL functions
URL: https://github.com/apache/spark/pull/23882#discussion_r266287361
##
File path: python/pyspark/sql/functions.py
##
@@ -1437,10
HyukjinKwon commented on a change in pull request #23882: [SPARK-26979][PYTHON]
Add missing string column name support for some SQL functions
URL: https://github.com/apache/spark/pull/23882#discussion_r266287274
##
File path: python/pyspark/sql/functions.py
##
@@ -1437,10
lipzhu commented on issue #24099: [SPARK-27168][TEST] Add docker integration
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> Oh, I got it. We need the previous
HyukjinKwon commented on issue #23882: [SPARK-26979][PYTHON] Add missing string
column name support for some SQL functions
URL: https://github.com/apache/spark/pull/23882#issuecomment-473756127
Why was `ascii` in string function an exception?
```python
>>>
HyukjinKwon commented on a change in pull request #23882: [SPARK-26979][PYTHON]
Add missing string column name support for some SQL functions
URL: https://github.com/apache/spark/pull/23882#discussion_r266284370
##
File path: python/pyspark/sql/functions.py
##
@@ -1437,10
SparkQA commented on issue #24099: [SPARK-27168][TEST] Add docker integration
test for MsSql server
URL: https://github.com/apache/spark/pull/24099#issuecomment-473754772
**[Test build #103598 has
SparkQA commented on issue #24105: [SPARK-27173][SQL]Remove （lz4，brotli，zstd）
for hive parquet table
URL: https://github.com/apache/spark/pull/24105#issuecomment-473754776
**[Test build #103597 has
AmplabJenkins removed a comment on issue #24099: [SPARK-27168][TEST] Add docker
integration test for MsSql server
URL: https://github.com/apache/spark/pull/24099#issuecomment-473754492
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