[GitHub] [spark] SparkQA removed a comment on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl

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SparkQA removed a comment on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#issuecomment-510649961 **[Test build #107551 has

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AmplabJenkins commented on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#issuecomment-510650576 Merged build finished. Test FAILed.

[GitHub] [spark] d80tb7 commented on a change in pull request #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl

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d80tb7 commented on a change in pull request #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#discussion_r302739771 ## File path:

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[GitHub] [spark] dongjoon-hyun closed pull request #25096: [SPARK-28334][SQL][TEST] Port select.sql

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dongjoon-hyun closed pull request #25096: [SPARK-28334][SQL][TEST] Port select.sql URL: https://github.com/apache/spark/pull/25096 This is an automated message from the Apache Git Service. To respond to the message, please

[GitHub] [spark] d80tb7 commented on a change in pull request #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl

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d80tb7 commented on a change in pull request #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#discussion_r302740545 ## File path:

[GitHub] [spark] SparkQA commented on issue #25039: [WIP][SPARK-28237][SQL] Add an Idempotent batch strategy to catch potential bugs in corresponding rules

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SparkQA commented on issue #25039: [WIP][SPARK-28237][SQL] Add an Idempotent batch strategy to catch potential bugs in corresponding rules URL: https://github.com/apache/spark/pull/25039#issuecomment-510655504 **[Test build #107547 has

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[GitHub] [spark] dongjoon-hyun opened a new pull request #25120: [SPARK-28354][INFRA] Use JIRA user name instead of JIRA user key

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dongjoon-hyun opened a new pull request #25120: [SPARK-28354][INFRA] Use JIRA user name instead of JIRA user key URL: https://github.com/apache/spark/pull/25120 ## What changes were proposed in this pull request? `dev/merge_spark_pr.py` script always fail for some users because they

[GitHub] [spark] d80tb7 commented on a change in pull request #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl

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d80tb7 commented on a change in pull request #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#discussion_r302746524 ## File path:

[GitHub] [spark] SparkQA commented on issue #25039: [WIP][SPARK-28237][SQL] Add an Idempotent batch strategy to catch potential bugs in corresponding rules

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SparkQA commented on issue #25039: [WIP][SPARK-28237][SQL] Add an Idempotent batch strategy to catch potential bugs in corresponding rules URL: https://github.com/apache/spark/pull/25039#issuecomment-510657641 **[Test build #107548 has

[GitHub] [spark] d80tb7 commented on a change in pull request #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl

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d80tb7 commented on a change in pull request #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#discussion_r302745939 ## File path: python/pyspark/worker.py ## @@ -379,6 +426,21

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SparkQA commented on issue #25120: [SPARK-28354][INFRA] Use JIRA user name instead of JIRA user key URL: https://github.com/apache/spark/pull/25120#issuecomment-510659936 **[Test build #107553 has

[GitHub] [spark] SparkQA commented on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl

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SparkQA commented on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#issuecomment-510659943 **[Test build #107554 has

[GitHub] [spark] dongjoon-hyun commented on issue #25120: [SPARK-28354][INFRA] Use JIRA user name instead of JIRA user key

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dongjoon-hyun commented on issue #25120: [SPARK-28354][INFRA] Use JIRA user name instead of JIRA user key URL: https://github.com/apache/spark/pull/25120#issuecomment-510660117 cc @squito , @vanzin , @srowen This is an

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[GitHub] [spark] SparkQA commented on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl

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SparkQA commented on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#issuecomment-510660514 **[Test build #107554 has

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AmplabJenkins commented on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#issuecomment-510660521 Merged build finished. Test FAILed.

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SparkQA removed a comment on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#issuecomment-510659943 **[Test build #107554 has

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[GitHub] [spark] brkyvz commented on a change in pull request #24798: [SPARK-27724][SQL] Implement REPLACE TABLE and REPLACE TABLE AS SELECT with V2

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brkyvz commented on a change in pull request #24798: [SPARK-27724][SQL] Implement REPLACE TABLE and REPLACE TABLE AS SELECT with V2 URL: https://github.com/apache/spark/pull/24798#discussion_r302746896 ## File path:

[GitHub] [spark] brkyvz commented on a change in pull request #24798: [SPARK-27724][SQL] Implement REPLACE TABLE and REPLACE TABLE AS SELECT with V2

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brkyvz commented on a change in pull request #24798: [SPARK-27724][SQL] Implement REPLACE TABLE and REPLACE TABLE AS SELECT with V2 URL: https://github.com/apache/spark/pull/24798#discussion_r302746536 ## File path:

[GitHub] [spark] brkyvz commented on a change in pull request #24798: [SPARK-27724][SQL] Implement REPLACE TABLE and REPLACE TABLE AS SELECT with V2

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brkyvz commented on a change in pull request #24798: [SPARK-27724][SQL] Implement REPLACE TABLE and REPLACE TABLE AS SELECT with V2 URL: https://github.com/apache/spark/pull/24798#discussion_r302750267 ## File path:

[GitHub] [spark] dongjoon-hyun commented on issue #25041: [SPARK-28133][SQL] Add acosh/asinh/atanh functions to SQL

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dongjoon-hyun commented on issue #25041: [SPARK-28133][SQL] Add acosh/asinh/atanh functions to SQL URL: https://github.com/apache/spark/pull/25041#issuecomment-510663213 Only for `-Infinity` for `asinh`. ``` spark-sql> SELECT asinh(double('-Infinity')); NaN

[GitHub] [spark] dongjoon-hyun edited a comment on issue #25041: [SPARK-28133][SQL] Add acosh/asinh/atanh functions to SQL

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dongjoon-hyun edited a comment on issue #25041: [SPARK-28133][SQL] Add acosh/asinh/atanh functions to SQL URL: https://github.com/apache/spark/pull/25041#issuecomment-510663213 Only for `-Infinity` for `asinh`. ``` spark-sql> SELECT asinh(double('-Infinity')); NaN

[GitHub] [spark] dongjoon-hyun edited a comment on issue #25041: [SPARK-28133][SQL] Add acosh/asinh/atanh functions to SQL

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dongjoon-hyun edited a comment on issue #25041: [SPARK-28133][SQL] Add acosh/asinh/atanh functions to SQL URL: https://github.com/apache/spark/pull/25041#issuecomment-510663213 Only for `-Infinity` for `asinh`. ``` spark-sql> SELECT asinh(double('-Infinity')); NaN

[GitHub] [spark] d80tb7 commented on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl

2019-07-11 Thread GitBox
d80tb7 commented on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#issuecomment-510663626 Thanks @BryanCutler for the review- very helpful! As this started off as a poc I think

[GitHub] [spark] maropu commented on issue #25096: [SPARK-28334][SQL][TEST] Port select.sql

2019-07-11 Thread GitBox
maropu commented on issue #25096: [SPARK-28334][SQL][TEST] Port select.sql URL: https://github.com/apache/spark/pull/25096#issuecomment-510344390 sure, I'll check This is an automated message from the Apache Git Service. To

[GitHub] [spark] HyukjinKwon opened a new pull request #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

2019-07-11 Thread GitBox
HyukjinKwon opened a new pull request #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110 ## What changes were proposed in this pull request? The tests

[GitHub] [spark] HyukjinKwon commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

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HyukjinKwon commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510345469 cc @dongjoon-hyun

[GitHub] [spark] HyukjinKwon commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

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HyukjinKwon commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510345861 FYI @viirya, @skonto, @imback82, @huaxingao, @vinodkc,

[GitHub] [spark] AmplabJenkins commented on issue #25111: [SPARK-xxx][SQL] clone the query plan between analyzer, optimizer and planner

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AmplabJenkins commented on issue #25111: [SPARK-xxx][SQL] clone the query plan between analyzer, optimizer and planner URL: https://github.com/apache/spark/pull/25111#issuecomment-510352863 Test PASSed. Refer to this link for build results (access rights to CI server needed):

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AmplabJenkins commented on issue #25111: [SPARK-xxx][SQL] clone the query plan between analyzer, optimizer and planner URL: https://github.com/apache/spark/pull/25111#issuecomment-510352855 Merged build finished. Test PASSed.

[GitHub] [spark] dongjoon-hyun commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

2019-07-11 Thread GitBox
dongjoon-hyun commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510352914 Nit. Can we use Decimal instead? In case of 'corr',

[GitHub] [spark] HyukjinKwon commented on a change in pull request #25101: [SPARK-28277][SQL][PYTHON][TESTS] Convert and port 'except.sql' into UDF test base

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HyukjinKwon commented on a change in pull request #25101: [SPARK-28277][SQL][PYTHON][TESTS] Convert and port 'except.sql' into UDF test base URL: https://github.com/apache/spark/pull/25101#discussion_r302387733 ## File path:

[GitHub] [spark] AmplabJenkins commented on issue #25001: [SPARK-28083][SQL] Support LIKE ... ESCAPE syntax

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[GitHub] [spark] AmplabJenkins commented on issue #25001: [SPARK-28083][SQL] Support LIKE ... ESCAPE syntax

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[GitHub] [spark] beliefer commented on a change in pull request #25074: [SPARK-27924]Support ANSI SQL Boolean-Predicate syntax

2019-07-11 Thread GitBox
beliefer commented on a change in pull request #25074: [SPARK-27924]Support ANSI SQL Boolean-Predicate syntax URL: https://github.com/apache/spark/pull/25074#discussion_r302391439 ## File path:

[GitHub] [spark] AmplabJenkins commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode URL: https://github.com/apache/spark/pull/24637#issuecomment-510358372 Merged build finished. Test FAILed.

[GitHub] [spark] SparkQA removed a comment on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

2019-07-11 Thread GitBox
SparkQA removed a comment on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510349217 **[Test build #107511 has

[GitHub] [spark] SparkQA removed a comment on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

2019-07-11 Thread GitBox
SparkQA removed a comment on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510347086 **[Test build #107510 has

[GitHub] [spark] AmplabJenkins commented on issue #25111: [SPARK-28346][SQL] clone the query plan between analyzer, optimizer and planner

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25111: [SPARK-28346][SQL] clone the query plan between analyzer, optimizer and planner URL: https://github.com/apache/spark/pull/25111#issuecomment-510358279 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

2019-07-11 Thread GitBox
AmplabJenkins removed a comment on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510358285 Merged build finished. Test FAILed.

[GitHub] [spark] peter-toth commented on a change in pull request #25029: [SPARK-28228][SQL] Fix substitution order of nested WITH clauses

2019-07-11 Thread GitBox
peter-toth commented on a change in pull request #25029: [SPARK-28228][SQL] Fix substitution order of nested WITH clauses URL: https://github.com/apache/spark/pull/25029#discussion_r302391200 ## File path:

[GitHub] [spark] SparkQA removed a comment on issue #25109: [SPARK-28343][SQL][TEST] PostgreSQL test should enable cartesian product

2019-07-11 Thread GitBox
SparkQA removed a comment on issue #25109: [SPARK-28343][SQL][TEST] PostgreSQL test should enable cartesian product URL: https://github.com/apache/spark/pull/25109#issuecomment-510341474 **[Test build #107509 has

[GitHub] [spark] AmplabJenkins commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510358311 Merged build finished. Test FAILed.

[GitHub] [spark] SparkQA removed a comment on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode

2019-07-11 Thread GitBox
SparkQA removed a comment on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode URL: https://github.com/apache/spark/pull/24637#issuecomment-510339651 **[Test build #107508 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #25108: [SPARK-28321][SQL] 0-args Java UDF should not be called only once

2019-07-11 Thread GitBox
AmplabJenkins removed a comment on issue #25108: [SPARK-28321][SQL] 0-args Java UDF should not be called only once URL: https://github.com/apache/spark/pull/25108#issuecomment-510358344 Merged build finished. Test FAILed.

[GitHub] [spark] SparkQA removed a comment on issue #25029: [SPARK-28228][SQL] Fix substitution order of nested WITH clauses

2019-07-11 Thread GitBox
SparkQA removed a comment on issue #25029: [SPARK-28228][SQL] Fix substitution order of nested WITH clauses URL: https://github.com/apache/spark/pull/25029#issuecomment-510351413 **[Test build #107512 has

[GitHub] [spark] AmplabJenkins commented on issue #25106: [SPARK-28345][SQL][Python] PythonUDF predicate should be able to pushdown to join

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25106: [SPARK-28345][SQL][Python] PythonUDF predicate should be able to pushdown to join URL: https://github.com/apache/spark/pull/25106#issuecomment-510358411 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510358285 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins commented on issue #25108: [SPARK-28321][SQL] 0-args Java UDF should not be called only once

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25108: [SPARK-28321][SQL] 0-args Java UDF should not be called only once URL: https://github.com/apache/spark/pull/25108#issuecomment-510358351 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode URL: https://github.com/apache/spark/pull/24637#issuecomment-510358345 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510358317 Test FAILed. Refer to this link for build results

[GitHub] [spark] AmplabJenkins removed a comment on issue #25109: [SPARK-28343][SQL][TEST] PostgreSQL test should enable cartesian product

2019-07-11 Thread GitBox
AmplabJenkins removed a comment on issue #25109: [SPARK-28343][SQL][TEST] PostgreSQL test should enable cartesian product URL: https://github.com/apache/spark/pull/25109#issuecomment-510358314 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins commented on issue #25111: [SPARK-28346][SQL] clone the query plan between analyzer, optimizer and planner

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25111: [SPARK-28346][SQL] clone the query plan between analyzer, optimizer and planner URL: https://github.com/apache/spark/pull/25111#issuecomment-510358276 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins commented on issue #25109: [SPARK-28343][SQL][TEST] PostgreSQL test should enable cartesian product

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25109: [SPARK-28343][SQL][TEST] PostgreSQL test should enable cartesian product URL: https://github.com/apache/spark/pull/25109#issuecomment-510358314 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins commented on issue #25107: [SPARK-28344][SQL] detect ambiguous self-join and fail the query

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25107: [SPARK-28344][SQL] detect ambiguous self-join and fail the query URL: https://github.com/apache/spark/pull/25107#issuecomment-510358400 Merged build finished. Test FAILed. This is an

[GitHub] [spark] AmplabJenkins commented on issue #25106: [SPARK-28345][SQL][Python] PythonUDF predicate should be able to pushdown to join

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25106: [SPARK-28345][SQL][Python] PythonUDF predicate should be able to pushdown to join URL: https://github.com/apache/spark/pull/25106#issuecomment-510358421 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #25001: [SPARK-28083][SQL] Support LIKE ... ESCAPE syntax

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25001: [SPARK-28083][SQL] Support LIKE ... ESCAPE syntax URL: https://github.com/apache/spark/pull/25001#issuecomment-510358271 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] SparkQA removed a comment on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode

2019-07-11 Thread GitBox
SparkQA removed a comment on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode URL: https://github.com/apache/spark/pull/24637#issuecomment-510336276 **[Test build #107506 has

[GitHub] [spark] SparkQA removed a comment on issue #25106: [SPARK-28345][SQL][Python] PythonUDF predicate should be able to pushdown to join

2019-07-11 Thread GitBox
SparkQA removed a comment on issue #25106: [SPARK-28345][SQL][Python] PythonUDF predicate should be able to pushdown to join URL: https://github.com/apache/spark/pull/25106#issuecomment-510330443 **[Test build #107503 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode

2019-07-11 Thread GitBox
AmplabJenkins removed a comment on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode URL: https://github.com/apache/spark/pull/24637#issuecomment-510358345 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins commented on issue #25108: [SPARK-28321][SQL] 0-args Java UDF should not be called only once

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25108: [SPARK-28321][SQL] 0-args Java UDF should not be called only once URL: https://github.com/apache/spark/pull/25108#issuecomment-510358344 Merged build finished. Test FAILed. This is an

[GitHub] [spark] AmplabJenkins commented on issue #25109: [SPARK-28343][SQL][TEST] PostgreSQL test should enable cartesian product

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25109: [SPARK-28343][SQL][TEST] PostgreSQL test should enable cartesian product URL: https://github.com/apache/spark/pull/25109#issuecomment-510358322 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode URL: https://github.com/apache/spark/pull/24637#issuecomment-510358377 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode

2019-07-11 Thread GitBox
AmplabJenkins removed a comment on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode URL: https://github.com/apache/spark/pull/24637#issuecomment-510358372 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins removed a comment on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode

2019-07-11 Thread GitBox
AmplabJenkins removed a comment on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode URL: https://github.com/apache/spark/pull/24637#issuecomment-510358355 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #25001: [SPARK-28083][SQL] Support LIKE ... ESCAPE syntax

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25001: [SPARK-28083][SQL] Support LIKE ... ESCAPE syntax URL: https://github.com/apache/spark/pull/25001#issuecomment-510358259 Merged build finished. Test FAILed. This is an automated

[GitHub] [spark] AmplabJenkins commented on issue #24996: [SPARK-28199][SS] Move Trigger implementations to Triggers.scala and avoid exposing these to the end users

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #24996: [SPARK-28199][SS] Move Trigger implementations to Triggers.scala and avoid exposing these to the end users URL: https://github.com/apache/spark/pull/24996#issuecomment-510358533 Merged build finished. Test FAILed.

[GitHub] [spark] SparkQA removed a comment on issue #25108: [SPARK-28321][SQL] 0-args Java UDF should not be called only once

2019-07-11 Thread GitBox
SparkQA removed a comment on issue #25108: [SPARK-28321][SQL] 0-args Java UDF should not be called only once URL: https://github.com/apache/spark/pull/25108#issuecomment-510339633 **[Test build #107507 has

[GitHub] [spark] AmplabJenkins commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate in explode URL: https://github.com/apache/spark/pull/24637#issuecomment-510358355 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

2019-07-11 Thread GitBox
AmplabJenkins removed a comment on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510358289 Test FAILed. Refer to this link for build

[GitHub] [spark] AmplabJenkins commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510358289 Test FAILed. Refer to this link for build results

[GitHub] [spark] maropu commented on issue #24860: [SPARK-28034][SQL][TEST] Port with.sql

2019-07-11 Thread GitBox
maropu commented on issue #24860: [SPARK-28034][SQL][TEST] Port with.sql URL: https://github.com/apache/spark/pull/24860#issuecomment-510358681 retest this please This is an automated message from the Apache Git Service. To

[GitHub] [spark] AmplabJenkins removed a comment on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation

2019-07-11 Thread GitBox
AmplabJenkins removed a comment on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python float limitation URL: https://github.com/apache/spark/pull/25110#issuecomment-510358311 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins commented on issue #24996: [SPARK-28199][SS] Move Trigger implementations to Triggers.scala and avoid exposing these to the end users

2019-07-11 Thread GitBox
AmplabJenkins commented on issue #24996: [SPARK-28199][SS] Move Trigger implementations to Triggers.scala and avoid exposing these to the end users URL: https://github.com/apache/spark/pull/24996#issuecomment-510358540 Test FAILed. Refer to this link for build results (access rights to

[GitHub] [spark] maropu commented on issue #25053: [SPARK-28252][SQL] local/global temp views should not accept duplicate column names

2019-07-11 Thread GitBox
maropu commented on issue #25053: [SPARK-28252][SQL] local/global temp views should not accept duplicate column names URL: https://github.com/apache/spark/pull/25053#issuecomment-510363952 fyi: the previous ticket for the same issue; https://issues.apache.org/jira/browse/SPARK-21363

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