yyhpys commented on issue #21012: [SPARK-23890][SQL] Support CHANGE COLUMN to
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URL: https://github.com/apache/spark/pull/21012#issuecomment-511692305
@ottomata Hi. I have been using your PR in a production thrift server.
Really appreciate for the contribution.
yyhpys edited a comment on issue #21012: [SPARK-23890][SQL] Support CHANGE
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@ottomata Hi. I have been using your PR in a production thrift server.
Really appreciate for the contribu
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HeartSaVioR commented on a change in pull request #25135: [SPARK-28367][SS] Use
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##
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HyukjinKwon commented on issue #25106: [SPARK-28345][SQL][Python] PythonUDF
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jerryshao commented on issue #24909: [SPARK-28106][SQL] When Spark SQL use
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URL: https://github.com/apache/spark/pull/24909#issuecomment-511699348
Thanks for the fix, merging to master branch.
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dilipbiswal commented on a change in pull request #25164: [SPARK-28375] Prevent
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hvanhovell commented on issue #24958: [SPARK-28153][PYTHON] Use AtomicReference
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URL: https://github.com/apache/spark/pull/24958#issuecomment-511705042
Honestly, the only proper way of fixing this is to make the input file
cloud-fan closed pull request #25158: [SPARK-28395][SQL] Division operator
support integral division
URL: https://github.com/apache/spark/pull/25158
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cloud-fan commented on issue #25165: [SPARK-28201][SQL][TEST][FOLLOWUP] Fix
Integration test suite according to the new exception message
URL: https://github.com/apache/spark/pull/25165#issuecomment-511710847
thanks, merging to master!
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mgaido91 commented on a change in pull request #25137: [SPARK-28348][SQL]
Decimal precision promotion for binary arithmetic with casted decimal type
URL: https://github.com/apache/spark/pull/25137#discussion_r303196343
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mgaido91 commented on a change in pull request #25137: [SPARK-28348][SQL]
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mgaido91 commented on a change in pull request #25137: [SPARK-28348][SQL]
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cloud-fan commented on issue #24991: [SPARK-28188] Materialize Dataframe API
URL: https://github.com/apache/spark/pull/24991#issuecomment-511712741
I've spent more time understanding the use case, and think table cache
should be a better choice here
1. disk vs memory: you can set the sto
AmplabJenkins commented on issue #22054: [SPARK-24703][SQL]: To add support to
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priyankagargnitk commented on issue #25022: [SPARK-24695][SQL]: To expose
Calendar interval type, so that same can be returned from the UDF.
URL: https://github.com/apache/spark/pull/25022#issuecomment-511720167
> I'm OK exposing it, but we need to mark that this API is not stable and
will
AmplabJenkins commented on issue #22054: [SPARK-24703][SQL]: To add support to
multiply CalendarInterval with Integral Type.
URL: https://github.com/apache/spark/pull/22054#issuecomment-511720931
Merged build finished. Test PASSed.
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AmplabJenkins commented on issue #22054: [SPARK-24703][SQL]: To add support to
multiply CalendarInterval with Integral Type.
URL: https://github.com/apache/spark/pull/22054#issuecomment-511720937
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gaborgsomogyi commented on a change in pull request #25135: [SPARK-28367][SS]
Use new KafkaConsumer.poll API in Kafka connector
URL: https://github.com/apache/spark/pull/25135#discussion_r303786627
##
File path:
external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/K
AmplabJenkins removed a comment on issue #22054: [SPARK-24703][SQL]: To add
support to multiply CalendarInterval with Integral Type.
URL: https://github.com/apache/spark/pull/22054#issuecomment-511720937
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gaborgsomogyi commented on issue #21861: [SPARK-24907][SQL][WIP] Migrate JDBC
DataSource to JDBCDataSourceV2 Read using DataSourceV2 API
URL: https://github.com/apache/spark/pull/21861#issuecomment-511722470
@shivsood thanks for considering me as collaborator. Since I'm mainly in the
strea
wangyum opened a new pull request #25170: [SPARK-28343][FOLLOW-UP][SQL][TEST]
Enable spark.sql.function.preferIntegralDivision for PostgreSQL testing
URL: https://github.com/apache/spark/pull/25170
## What changes were proposed in this pull request?
This PR enables `spark.sql.functio
SparkQA commented on issue #25170: [SPARK-28343][FOLLOW-UP][SQL][TEST] Enable
spark.sql.function.preferIntegralDivision for PostgreSQL testing
URL: https://github.com/apache/spark/pull/25170#issuecomment-511724645
**[Test build #107729 has
started](https://amplab.cs.berkeley.edu/jenkins/jo
HeartSaVioR commented on a change in pull request #25135: [SPARK-28367][SS] Use
new KafkaConsumer.poll API in Kafka connector
URL: https://github.com/apache/spark/pull/25135#discussion_r303792433
##
File path:
external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/Kaf
HyukjinKwon commented on issue #25168: [SPARK-28276][SQL][PYTHON][TEST] Convert
and port 'cross-join.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25168#issuecomment-511726635
Looks good .. but let's get #25130 first .. just in case that causes some
changes in those PRs
AmplabJenkins removed a comment on issue #25170:
[SPARK-28343][FOLLOW-UP][SQL][TEST] Enable
spark.sql.function.preferIntegralDivision for PostgreSQL testing
URL: https://github.com/apache/spark/pull/25170#issuecomment-511726821
Test PASSed.
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AmplabJenkins commented on issue #25170: [SPARK-28343][FOLLOW-UP][SQL][TEST]
Enable spark.sql.function.preferIntegralDivision for PostgreSQL testing
URL: https://github.com/apache/spark/pull/25170#issuecomment-511726821
Test PASSed.
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