[GitHub] [spark] AmplabJenkins commented on issue #25593: [SPARK-27992][PYTHON][BRANCH-2.4] Allow Python to join with connection thread to propagate errors

AmplabJenkins commented on issue #25593: [SPARK-27992][PYTHON][BRANCH-2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593#issuecomment-525150952 Test PASSed. Refer to this link for build results (access rights to CI server

[GitHub] [spark] AmplabJenkins commented on issue #25593: [SPARK-27992][PYTHON][BRANCH-2.4] Allow Python to join with connection thread to propagate errors

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[GitHub] [spark] HyukjinKwon commented on issue #25593: [SPARK-27992][PYTHON][BRANCH-2.4] Allow Python to join with connection thread to propagate errors

HyukjinKwon commented on issue #25593: [SPARK-27992][PYTHON][BRANCH-2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593#issuecomment-525150529 Otherwise, we should revert #21546 but ironically seems having a different fix

[GitHub] [spark] dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#issuecomment-525150265 Since I already reverted the first trial of your this PR, I'm honestly reluctant to

[GitHub] [spark] dongjoon-hyun commented on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

dongjoon-hyun commented on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#issuecomment-525150265 Since I already reverted the first trial of your this PR, I'm honestly reluctant to revert

[GitHub] [spark] dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#issuecomment-525150265 Since I already reverted the first trial of your this PR, I'm honestly reluctant to

[GitHub] [spark] HyukjinKwon commented on issue #25593: [SPARK-27992][PYTHON][BRANCH-2.4] Allow Python to join with connection thread to propagate errors

HyukjinKwon commented on issue #25593: [SPARK-27992][PYTHON][BRANCH-2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593#issuecomment-525149871 cc @cloud-fan, @gatorsmile, @BryanCutler, Also cc @dongjoon-hyun, I think we

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[GitHub] [spark] HyukjinKwon opened a new pull request #25593: [SPARK-27992][PYTHON][BRANCH-2.4] Allow Python to join with connection thread to propagate errors

HyukjinKwon opened a new pull request #25593: [SPARK-27992][PYTHON][BRANCH-2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593 ### What changes were proposed in this pull request? This PR proposes to backport

[GitHub] [spark] SparkQA commented on issue #25465: [SPARK-28747][SQL] merge the two data source v2 fallback configs

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[GitHub] [spark] cloud-fan commented on a change in pull request #25584: [SPARK-28876][SQL] fallBackToHdfs should not support Hive partitioned table

cloud-fan commented on a change in pull request #25584: [SPARK-28876][SQL] fallBackToHdfs should not support Hive partitioned table URL: https://github.com/apache/spark/pull/25584#discussion_r317903176 ## File path:

[GitHub] [spark] AmplabJenkins commented on issue #25592: [SPARK-28527][SQL][TEST][FOLLOW-UP] Ignores Thrift server ThriftServerQueryTestSuite

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[GitHub] [spark] wangyum commented on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

wangyum commented on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#issuecomment-525148529 I plan to ignore this test: https://github.com/apache/spark/pull/25592 We can run it manually.

[GitHub] [spark] wangyum opened a new pull request #25592: [SPARK-28527][SQL][TEST][FOLLOW-UP] Ignores Thrift server ThriftServerQueryTestSuite

wangyum opened a new pull request #25592: [SPARK-28527][SQL][TEST][FOLLOW-UP] Ignores Thrift server ThriftServerQueryTestSuite URL: https://github.com/apache/spark/pull/25592 ### What changes were proposed in this pull request? This PR ignores Thrift server

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[GitHub] [spark] wangyum commented on a change in pull request #24486: [SPARK-27592][SQL] Set the bucketed data source table SerDe correctly

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[GitHub] [spark] HeartSaVioR commented on a change in pull request #22138: [SPARK-25151][SS] Apply Apache Commons Pool to KafkaDataConsumer

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[GitHub] [spark] AmplabJenkins commented on issue #25591: [SPARK-27592][SQL][TEST][FOLLOW-UP] Test set the partitioned bucketed data source table SerDe correctly

AmplabJenkins commented on issue #25591: [SPARK-27592][SQL][TEST][FOLLOW-UP] Test set the partitioned bucketed data source table SerDe correctly URL: https://github.com/apache/spark/pull/25591#issuecomment-525145367 Merged build finished. Test PASSed.

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[GitHub] [spark] wangyum commented on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

wangyum commented on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#issuecomment-525144852 Could we ignore this test on jenkins?

[GitHub] [spark] dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#issuecomment-525144497 Also, the followings are the recent failures in `master` branch across various

[GitHub] [spark] dongjoon-hyun commented on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

dongjoon-hyun commented on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#issuecomment-525144497 Also, the followings are the recent failures in `master` branch across various profiles.

[GitHub] [spark] wangyum opened a new pull request #25591: [SPARK-27592][SQL][TEST][FOLLOW-UP] Test set the partitioned bucketed data source table SerDe correctly

wangyum opened a new pull request #25591: [SPARK-27592][SQL][TEST][FOLLOW-UP] Test set the partitioned bucketed data source table SerDe correctly URL: https://github.com/apache/spark/pull/25591 ### What changes were proposed in this pull request? This PR add test for set the

[GitHub] [spark] HeartSaVioR commented on a change in pull request #22138: [SPARK-25151][SS] Apply Apache Commons Pool to KafkaDataConsumer

HeartSaVioR commented on a change in pull request #22138: [SPARK-25151][SS] Apply Apache Commons Pool to KafkaDataConsumer URL: https://github.com/apache/spark/pull/22138#discussion_r317897581 ## File path:

[GitHub] [spark] SparkQA commented on issue #22138: [SPARK-25151][SS] Apply Apache Commons Pool to KafkaDataConsumer

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[GitHub] [spark] SparkQA commented on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array

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[GitHub] [spark] SparkQA commented on issue #25464: [SPARK-28746][SQL] Add partitionby hint for sql queries

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[GitHub] [spark] sandeep-katta commented on a change in pull request #25561: [SPARK-28810][DOC][SQL] Document SHOW TABLES in SQL Reference.

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[GitHub] [spark] beliefer commented on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array

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[GitHub] [spark] maropu commented on issue #25464: [SPARK-28746][SQL] Add partitionby hint for sql queries

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[GitHub] [spark] xianyinxin commented on issue #24983: [SPARK-27714][SQL][CBO] Support Genetic Algorithm based join reorder

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[GitHub] [spark] cloud-fan closed pull request #25507: [SPARK-28667][SQL] Support InsertInto through the V2SessionCatalog

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[GitHub] [spark] cloud-fan commented on issue #25507: [SPARK-28667][SQL] Support InsertInto through the V2SessionCatalog

cloud-fan commented on issue #25507: [SPARK-28667][SQL] Support InsertInto through the V2SessionCatalog URL: https://github.com/apache/spark/pull/25507#issuecomment-525137858 thanks, merging to master! This is an automated

[GitHub] [spark] cloud-fan commented on a change in pull request #25507: [SPARK-28667][SQL] Support InsertInto through the V2SessionCatalog

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[GitHub] [spark] PavithraRamachandran opened a new pull request #25590: [SPARK-28791] [DOC] Documentation for Alter table Command

PavithraRamachandran opened a new pull request #25590: [SPARK-28791] [DOC] Documentation for Alter table Command URL: https://github.com/apache/spark/pull/25590 What changes were proposed in this pull request? Document ALTER TABLE statement in SQL Reference Guide. Why are the

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[GitHub] [spark] SparkQA removed a comment on issue #22138: [SPARK-25151][SS] Apply Apache Commons Pool to KafkaDataConsumer

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[GitHub] [spark] dongjoon-hyun commented on issue #25439: [SPARK-28709][DSTREAMS] Fix StreamingContext leak through Streaming

dongjoon-hyun commented on issue #25439: [SPARK-28709][DSTREAMS] Fix StreamingContext leak through Streaming URL: https://github.com/apache/spark/pull/25439#issuecomment-525132625 Thank you all. Yes. This is a good backport candidate for `2.4.5`.

[GitHub] [spark] dongjoon-hyun commented on issue #25587: [SPARK-28877][PYSPARK][test-hadoop3.2][test-java11] Make jaxb-runtime compile-time dependency

dongjoon-hyun commented on issue #25587: [SPARK-28877][PYSPARK][test-hadoop3.2][test-java11] Make jaxb-runtime compile-time dependency URL: https://github.com/apache/spark/pull/25587#issuecomment-525132096 Technically, the UT failures here are irrelevant to this PR. Especially, last two

[GitHub] [spark] dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#issuecomment-525131555 Hi, @wangyum and @HyukjinKwon . Sorry, but #25587 failed two times consecutively

[GitHub] [spark] dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#issuecomment-525131555 Hi, @wangyum and @HyukjinKwon . Sorry, but #25587 failed two times consecutively

[GitHub] [spark] dongjoon-hyun commented on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

dongjoon-hyun commented on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#issuecomment-525131555 Hi, @wangyum and @HyukjinKwon . Sorry, but #25587 failed two times consecutively due to

[GitHub] [spark] dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

dongjoon-hyun edited a comment on issue #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#issuecomment-525131555 Hi, @wangyum and @HyukjinKwon . Sorry, but #25587 failed two times consecutively

[GitHub] [spark] AmplabJenkins removed a comment on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array

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[GitHub] [spark] zzcclp commented on issue #25439: [SPARK-28709][DSTREAMS] Fix StreamingContext leak through Streaming

zzcclp commented on issue #25439: [SPARK-28709][DSTREAMS] Fix StreamingContext leak through Streaming URL: https://github.com/apache/spark/pull/25439#issuecomment-525131489 OK, thanks. This is an automated message from the

[GitHub] [spark] SparkQA removed a comment on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array

SparkQA removed a comment on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array URL: https://github.com/apache/spark/pull/25172#issuecomment-525123038 **[Test build #109774 has

[GitHub] [spark] zzcclp commented on issue #25511: [SPARK-22955][DSTREAMS] - graceful shutdown shouldn't lead to job gen…

zzcclp commented on issue #25511: [SPARK-22955][DSTREAMS] - graceful shutdown shouldn't lead to job gen… URL: https://github.com/apache/spark/pull/25511#issuecomment-525131462 OK, thanks. This is an automated message from

[GitHub] [spark] SparkQA commented on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array

SparkQA commented on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array URL: https://github.com/apache/spark/pull/25172#issuecomment-525131245 **[Test build #109774 has

[GitHub] [spark] AmplabJenkins commented on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array

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[GitHub] [spark] AmplabJenkins commented on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array

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[GitHub] [spark] SparkQA removed a comment on issue #25559: [WIP][DO-NOT-MERGE] Test updating Kinesis deps and current state of Kinesis Python tests

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[GitHub] [spark] SparkQA commented on issue #25559: [WIP][DO-NOT-MERGE] Test updating Kinesis deps and current state of Kinesis Python tests

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[GitHub] [spark] kiszk commented on a change in pull request #25470: [SPARK-28751][Core][WIP] Improve java serializer deserialization performance

kiszk commented on a change in pull request #25470: [SPARK-28751][Core][WIP] Improve java serializer deserialization performance URL: https://github.com/apache/spark/pull/25470#discussion_r317881044 ## File path: core/src/main/scala/org/apache/spark/rpc/netty/NettyRpcEnv.scala

[GitHub] [spark] kiszk commented on a change in pull request #25470: [SPARK-28751][Core][WIP] Improve java serializer deserialization performance

kiszk commented on a change in pull request #25470: [SPARK-28751][Core][WIP] Improve java serializer deserialization performance URL: https://github.com/apache/spark/pull/25470#discussion_r317881031 ## File path: core/src/main/scala/org/apache/spark/rpc/netty/NettyRpcEnv.scala

[GitHub] [spark] SparkQA commented on issue #20965: [WIP][SPARK-21870][SQL] Split aggregation code into small functions

SparkQA commented on issue #20965: [WIP][SPARK-21870][SQL] Split aggregation code into small functions URL: https://github.com/apache/spark/pull/20965#issuecomment-525127394 **[Test build #109777 has

[GitHub] [spark] SparkQA commented on issue #25520: [SPARK-28621][SQL] Make spark.sql.crossJoin.enabled default value true

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25520: [SPARK-28621][SQL] Make spark.sql.crossJoin.enabled default value true

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[GitHub] [spark] AmplabJenkins commented on issue #25520: [SPARK-28621][SQL] Make spark.sql.crossJoin.enabled default value true

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[GitHub] [spark] SparkQA commented on issue #25512: [SPARK-28782][SQL] Support explode function on aggregate expressions

SparkQA commented on issue #25512: [SPARK-28782][SQL] Support explode function on aggregate expressions URL: https://github.com/apache/spark/pull/25512#issuecomment-525124529 **[Test build #109775 has

[GitHub] [spark] srowen commented on issue #25511: [SPARK-22955][DSTREAMS] - graceful shutdown shouldn't lead to job gen…

srowen commented on issue #25511: [SPARK-22955][DSTREAMS] - graceful shutdown shouldn't lead to job gen… URL: https://github.com/apache/spark/pull/25511#issuecomment-525124554 Yes I think that's OK. We're in a 'code freeze' for the 2.4.4 release at the moment, so I hesitate to merge

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