srowen commented on issue #26333: [SPARK-29677][DStreams] amazon-kinesis-client
1.12.0
URL: https://github.com/apache/spark/pull/26333#issuecomment-549054629
Understood, and I expect it's fine to merge this to 2.4 as well. While I'm
also at Databricks, we all wear our ASF project 'hat'
etspaceman commented on issue #26333: [SPARK-29677][DStreams]
amazon-kinesis-client 1.12.0
URL: https://github.com/apache/spark/pull/26333#issuecomment-549053630
This one is quite urgent for our team at Disney Streaming Services. We are
going through a massive Kinesis scale-up and the
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imback82 commented on issue #26361: [SPARK-29630][SQL] Disallow creating a
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retest this please
srowen commented on issue #26333: [SPARK-29677][DStreams] amazon-kinesis-client
1.12.0
URL: https://github.com/apache/spark/pull/26333#issuecomment-549052434
I usually leave it open for a day or two if it's not urgent, esp at the
weekend, just to see if anyone has further comments. It's
etspaceman commented on issue #26333: [SPARK-29677][DStreams]
amazon-kinesis-client 1.12.0
URL: https://github.com/apache/spark/pull/26333#issuecomment-549051241
Anything else required before this is merged?
This is an
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srowen commented on a change in pull request #26263: [SPARK-29570][WEBUI]
Improve tooltip for Executor Tab for Shuffle Write,Blacklisted,Logs,Threaddump
columns
URL: https://github.com/apache/spark/pull/26263#discussion_r341813155
##
File path:
srowen commented on issue #25344: [WIP][SPARK-28151][SQL] Mapped ByteType to
TinyINT for MsSQLServerDialect
URL: https://github.com/apache/spark/pull/25344#issuecomment-549048294
Is this superseded by https://github.com/apache/spark/pull/26301 ?
srowen commented on a change in pull request #25632:
[SPARK-28809][DOC][SQL]Document SHOW TABLE in SQL Reference
URL: https://github.com/apache/spark/pull/25632#discussion_r341812608
##
File path: docs/sql-ref-syntax-aux-show-table.md
##
@@ -18,5 +18,153 @@ license: |
srowen commented on issue #26362: Turns `pre-built package` into a link to
pre-built packages
URL: https://github.com/apache/spark/pull/26362#issuecomment-549046673
This is OK, but please clean up the PR description and title per
https://spark.apache.org/contributing.html
Any other
SparkQA commented on issue #26301: [WIP] [SPARK-29644] [SQL] Corrected
ShortType and ByteType mapping to SmallInt and TinyInt in JDBCUtils
URL: https://github.com/apache/spark/pull/26301#issuecomment-549046388
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Can one of the admins verify this patch?
srowen commented on a change in pull request #26301: [WIP] [SPARK-29644] [SQL]
Corrected ShortType and ByteType mapping to SmallInt and TinyInt in JDBCUtils
URL: https://github.com/apache/spark/pull/26301#discussion_r341812085
##
File path:
srowen commented on issue #26324: [SPARK-29462] The data type of "array()"
should be array
URL: https://github.com/apache/spark/pull/26324#issuecomment-549046017
I agree that compatibility is a minor issue here. But it also sounds like
this change allows things to work that did not
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cloud-fan closed pull request #26285: [SPARK-29623][SQL] do not allow multiple
unit TO unit statements in interval literal syntax
URL: https://github.com/apache/spark/pull/26285
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cloud-fan commented on issue #26285: [SPARK-29623][SQL] do not allow multiple
unit TO unit statements in interval literal syntax
URL: https://github.com/apache/spark/pull/26285#issuecomment-549044500
thanks for the review, merging to master!
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MaxGekk commented on issue #26368: [SPARK-29723][SQL] Get date and time parts
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URL: https://github.com/apache/spark/pull/26368#issuecomment-549038881
@cloud-fan @hvanhovell Please, take a look at this. If it makes sense for
you, we could discuss alternative
MaxGekk opened a new pull request #26368: [SPARK-29723][SQL] Get date and time
parts of an interval as java classes
URL: https://github.com/apache/spark/pull/26368
### What changes were proposed in this pull request?
I propose 2 new methods for `CalendarInterval`:
- `period()`
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MaxGekk commented on issue #26256: [SPARK-29605][SQL] Optimize string to
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URL: https://github.com/apache/spark/pull/26256#issuecomment-549034769
jenkins, retest this, please
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peter-toth commented on issue #26044: [SPARK-29375][SQL] Exchange reuse across
all subquery levels
URL: https://github.com/apache/spark/pull/26044#issuecomment-549034118
@cloud-fan @dongjoon-hyun @gatorsmile @maropu @maryannxue @mgaido91 @viirya
any feedback/comment is gladly welcome
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URL: https://github.com/apache/spark/pull/26367#issuecomment-549032490
ping @cloud-fan @dongjoon-hyun
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MaxGekk opened a new pull request #26367: [SPARK-29671][SQL] Simplify string
representation of intervals
URL: https://github.com/apache/spark/pull/26367
### What changes were proposed in this pull request?
In the PR, I propose to changed `CalendarInterval.toString`:
- to skip the
cxzl25 commented on issue #26323: [SPARK-29657][CORE] Iterator spill supporting
radix sort with null prefix
URL: https://github.com/apache/spark/pull/26323#issuecomment-549031424
@JoshRosen @davies
Can you look at this pr when you are free? Thank you.
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MaxGekk commented on a change in pull request #26107: [SPARK-28885][SQL] Follow
ANSI store assignment rules in table insertion by default
URL: https://github.com/apache/spark/pull/26107#discussion_r341805513
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MaxGekk commented on a change in pull request #26107: [SPARK-28885][SQL] Follow
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URL: https://github.com/apache/spark/pull/26107#discussion_r341805513
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yaooqinn commented on issue #26366: [SPARK-29722][SQL] Non reversed keywords
should be able to be used in high order functions
URL: https://github.com/apache/spark/pull/26366#issuecomment-549025953
cc @ueshin @gatorsmile @cloud-fan @HyukjinKwon @dongjoon-hyun, thanks in
advance.
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yaooqinn commented on a change in pull request #26359: [SPARK-29713][SQL]
Support Interval Unit Abbreviations in Interval Literals
URL: https://github.com/apache/spark/pull/26359#discussion_r341804338
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yaooqinn opened a new pull request #26366: [SPARK-29722][SQL] Non reversed
keywords should be able to be used in high order functions
URL: https://github.com/apache/spark/pull/26366
### What changes were proposed in this pull request?
Support non-reversed keywords to be used in high
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