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AmplabJenkins commented on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError ` URL: https://github.com/apache/spark/pull/24865#issuecomment-504587570 Test PASSed. Refer to this link for build results (access rights to CI

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SparkQA commented on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError ` URL: https://github.com/apache/spark/pull/24865#issuecomment-504587158 **[Test build #106778 has

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SparkQA removed a comment on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError ` URL: https://github.com/apache/spark/pull/24865#issuecomment-504537886 **[Test build #106778 has

[GitHub] [spark] SparkQA commented on issue #20350: [SPARK-23179][SQL] Support option to throw exception if overflow occurs

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[GitHub] [spark] mgaido91 edited a comment on issue #20350: [SPARK-23179][SQL] Support option to throw exception if overflow occurs

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mgaido91 edited a comment on issue #20350: [SPARK-23179][SQL] Support option to throw exception if overflow occurs URL: https://github.com/apache/spark/pull/20350#issuecomment-504573616 @mickjermsurawong-stripe thanks for your comment. I am updating this PR resolving the conflicts and I

[GitHub] [spark] squito commented on issue #24817: [WIP][SPARK-27963][core] Allow dynamic allocation without a shuffle service.

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squito commented on issue #24817: [WIP][SPARK-27963][core] Allow dynamic allocation without a shuffle service. URL: https://github.com/apache/spark/pull/24817#issuecomment-504584260 > What if the executor is idle currently (no active job, can be removed), but later on the jobs depend one

[GitHub] [spark] hvanhovell commented on issue #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type.

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hvanhovell 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-504584351 @priyankagargnitk let's also add a test `SQLQueryTestSuite`, e.g.: ```sql create temporary

[GitHub] [spark] hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type.

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hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type. URL: https://github.com/apache/spark/pull/22054#discussion_r296404825 ## File path:

[GitHub] [spark] hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type.

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hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type. URL: https://github.com/apache/spark/pull/22054#discussion_r296404563 ## File path:

[GitHub] [spark] hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type.

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hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type. URL: https://github.com/apache/spark/pull/22054#discussion_r296404458 ## File path:

[GitHub] [spark] hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type.

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[GitHub] [spark] squito commented on a change in pull request #24817: [WIP][SPARK-27963][core] Allow dynamic allocation without a shuffle service.

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[GitHub] [spark] hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type.

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hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type. URL: https://github.com/apache/spark/pull/22054#discussion_r296403189 ## File path:

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[GitHub] [spark] squito commented on a change in pull request #24817: [WIP][SPARK-27963][core] Allow dynamic allocation without a shuffle service.

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[GitHub] [spark] hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type.

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hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type. URL: https://github.com/apache/spark/pull/22054#discussion_r296403068 ## File path:

[GitHub] [spark] hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type.

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hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type. URL: https://github.com/apache/spark/pull/22054#discussion_r296402333 ## File path:

[GitHub] [spark] hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type.

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hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type. URL: https://github.com/apache/spark/pull/22054#discussion_r296402038 ## File path:

[GitHub] [spark] hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type.

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hvanhovell commented on a change in pull request #22054: [SPARK-24703][SQL]: To add support to multiply CalendarInterval with Integral Type. URL: https://github.com/apache/spark/pull/22054#discussion_r296402038 ## File path:

[GitHub] [spark] SparkQA commented on issue #21599: [SPARK-26218][SQL] Overflow on arithmetic operations returns incorrect result

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mgaido91 commented on issue #20350: [SPARK-23179][SQL] Support option to throw exception if overflow occurs URL: https://github.com/apache/spark/pull/20350#issuecomment-504573616 @mickjermsurawong-stripe thanks for your comment. I am updating this PR resolving the conflicts and I hope

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[GitHub] [spark] skonto edited a comment on issue #24796: [SPARK-27900][CORE] Add uncaught exception handler to the driver

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skonto edited a comment on issue #24796: [SPARK-27900][CORE] Add uncaught exception handler to the driver URL: https://github.com/apache/spark/pull/24796#issuecomment-504558356 @squito I tried `XX:+ExitOnOutOfMemoryError` (described in jira) but the thing is executors do have proper

[GitHub] [spark] skonto edited a comment on issue #24796: [SPARK-27900][CORE] Add uncaught exception handler to the driver

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skonto edited a comment on issue #24796: [SPARK-27900][CORE] Add uncaught exception handler to the driver URL: https://github.com/apache/spark/pull/24796#issuecomment-504558356 @squito I tried `XX:+ExitOnOutOfMemoryError` (described in jira) but the thing is executors do have proper

[GitHub] [spark] skonto commented on issue #24796: [SPARK-27900][CORE] Add uncaught exception handler to the driver

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skonto commented on issue #24796: [SPARK-27900][CORE] Add uncaught exception handler to the driver URL: https://github.com/apache/spark/pull/24796#issuecomment-504558356 @squito I tried it `XX:+ExitOnOutOfMemoryError` (described in jira) but the thing is executors do have proper uncaught

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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError `

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dongjoon-hyun commented on a change in pull request #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError ` URL: https://github.com/apache/spark/pull/24865#discussion_r296371416 ## File path:

[GitHub] [spark] dongjoon-hyun commented on a change in pull request #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError `

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dongjoon-hyun commented on a change in pull request #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError ` URL: https://github.com/apache/spark/pull/24865#discussion_r296371416 ## File path:

[GitHub] [spark] SparkQA commented on issue #24926: [SPARK-28128][PYTHON][SQL] Pandas Grouped UDFs skip empty partitions

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[GitHub] [spark] BryanCutler commented on issue #24926: [SPARK-28128][PYTHON][SQL] Pandas Grouped UDFs skip empty partitions

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BryanCutler commented on issue #24926: [SPARK-28128][PYTHON][SQL] Pandas Grouped UDFs skip empty partitions URL: https://github.com/apache/spark/pull/24926#issuecomment-504546730 Looks like this cut almost 30s off of test time lol, happy friday @shaneknapp !

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[GitHub] [spark] AmplabJenkins commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow

2019-06-21 Thread GitBox
AmplabJenkins commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow URL: https://github.com/apache/spark/pull/24844#issuecomment-504545700 Test PASSed. Refer to this link for build results (access rights to CI server

[GitHub] [spark] AmplabJenkins commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow

2019-06-21 Thread GitBox
AmplabJenkins commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow URL: https://github.com/apache/spark/pull/24844#issuecomment-504545692 Merged build finished. Test PASSed.

[GitHub] [spark] SparkQA commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow

2019-06-21 Thread GitBox
SparkQA commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow URL: https://github.com/apache/spark/pull/24844#issuecomment-504545353 **[Test build #106777 has

[GitHub] [spark] SparkQA removed a comment on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow

2019-06-21 Thread GitBox
SparkQA removed a comment on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow URL: https://github.com/apache/spark/pull/24844#issuecomment-504535102 **[Test build #106777 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError `

2019-06-21 Thread GitBox
AmplabJenkins removed a comment on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError ` URL: https://github.com/apache/spark/pull/24865#issuecomment-504539772 Test PASSed. Refer to this link for build results (access rights to

[GitHub] [spark] AmplabJenkins removed a comment on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError `

2019-06-21 Thread GitBox
AmplabJenkins removed a comment on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError ` URL: https://github.com/apache/spark/pull/24865#issuecomment-504539767 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins commented on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError `

2019-06-21 Thread GitBox
AmplabJenkins commented on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError ` URL: https://github.com/apache/spark/pull/24865#issuecomment-504539772 Test PASSed. Refer to this link for build results (access rights to CI

[GitHub] [spark] AmplabJenkins commented on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError `

2019-06-21 Thread GitBox
AmplabJenkins commented on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError ` URL: https://github.com/apache/spark/pull/24865#issuecomment-504539767 Merged build finished. Test PASSed.

[GitHub] [spark] parthchandra commented on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError `

2019-06-21 Thread GitBox
parthchandra commented on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError ` URL: https://github.com/apache/spark/pull/24865#issuecomment-504538511 OK. Replaced the unit test with a higher level unit test. I added a query to

[GitHub] [spark] SparkQA commented on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError `

2019-06-21 Thread GitBox
SparkQA commented on issue #24865: [SPARK-27100][SQL] Use `Array` instead of `Seq` in `FilePartition` to prevent `StackOverflowError ` URL: https://github.com/apache/spark/pull/24865#issuecomment-504537886 **[Test build #106778 has

[GitHub] [spark] SparkQA commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow

2019-06-21 Thread GitBox
SparkQA commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow URL: https://github.com/apache/spark/pull/24844#issuecomment-504535102 **[Test build #106777 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow

2019-06-21 Thread GitBox
AmplabJenkins removed a comment on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow URL: https://github.com/apache/spark/pull/24844#issuecomment-504534521 Test PASSed. Refer to this link for build results (access rights to CI

[GitHub] [spark] AmplabJenkins removed a comment on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow

2019-06-21 Thread GitBox
AmplabJenkins removed a comment on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow URL: https://github.com/apache/spark/pull/24844#issuecomment-504534517 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow

2019-06-21 Thread GitBox
AmplabJenkins commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow URL: https://github.com/apache/spark/pull/24844#issuecomment-504534517 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow

2019-06-21 Thread GitBox
AmplabJenkins commented on issue #24844: [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow URL: https://github.com/apache/spark/pull/24844#issuecomment-504534521 Test PASSed. Refer to this link for build results (access rights to CI server

[GitHub] [spark] yeshengm commented on a change in pull request #24915: [SPARK-28096][SQL] Convert defs to lazy vals to avoid expensive `output` computation in QueryPlans

2019-06-21 Thread GitBox
yeshengm commented on a change in pull request #24915: [SPARK-28096][SQL] Convert defs to lazy vals to avoid expensive `output` computation in QueryPlans URL: https://github.com/apache/spark/pull/24915#discussion_r296350493 ## File path:

[GitHub] [spark] AmplabJenkins removed a comment on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages

2019-06-21 Thread GitBox
AmplabJenkins removed a comment on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages URL: https://github.com/apache/spark/pull/24497#issuecomment-504526560 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages

2019-06-21 Thread GitBox
AmplabJenkins removed a comment on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages URL: https://github.com/apache/spark/pull/24497#issuecomment-504526554 Merged build finished. Test FAILed.

[GitHub] [spark] SparkQA removed a comment on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages

2019-06-21 Thread GitBox
SparkQA removed a comment on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages URL: https://github.com/apache/spark/pull/24497#issuecomment-504499896 **[Test build #106775 has

[GitHub] [spark] AmplabJenkins commented on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages

2019-06-21 Thread GitBox
AmplabJenkins commented on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages URL: https://github.com/apache/spark/pull/24497#issuecomment-504526560 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages

2019-06-21 Thread GitBox
AmplabJenkins commented on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages URL: https://github.com/apache/spark/pull/24497#issuecomment-504526554 Merged build finished. Test FAILed.

[GitHub] [spark] juliuszsompolski commented on issue #24906: [SPARK-28104][SQL][test-hadoop3.2] Implement Spark's own GetColumnsOperation

2019-06-21 Thread GitBox
juliuszsompolski commented on issue #24906: [SPARK-28104][SQL][test-hadoop3.2] Implement Spark's own GetColumnsOperation URL: https://github.com/apache/spark/pull/24906#issuecomment-504526140 LGTM. cc @gatorsmile This is an

[GitHub] [spark] SparkQA commented on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages

2019-06-21 Thread GitBox
SparkQA commented on issue #24497: [SPARK-27630][CORE] Properly handle task end events from completed stages URL: https://github.com/apache/spark/pull/24497#issuecomment-504526285 **[Test build #106775 has

[GitHub] [spark] dongjoon-hyun commented on a change in pull request #24935: [SPARK-28005][SCHEDULER] Remove unnecessary log from SparkRackResolver

2019-06-21 Thread GitBox
dongjoon-hyun commented on a change in pull request #24935: [SPARK-28005][SCHEDULER] Remove unnecessary log from SparkRackResolver URL: https://github.com/apache/spark/pull/24935#discussion_r296343216 ## File path:

[GitHub] [spark] AmplabJenkins removed a comment on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG

2019-06-21 Thread GitBox
AmplabJenkins removed a comment on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG URL: https://github.com/apache/spark/pull/24861#issuecomment-504518223 Test PASSed. Refer to this link for build results (access

[GitHub] [spark] AmplabJenkins removed a comment on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG

2019-06-21 Thread GitBox
AmplabJenkins removed a comment on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG URL: https://github.com/apache/spark/pull/24861#issuecomment-504518219 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins commented on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG

2019-06-21 Thread GitBox
AmplabJenkins commented on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG URL: https://github.com/apache/spark/pull/24861#issuecomment-504518223 Test PASSed. Refer to this link for build results (access rights to CI

[GitHub] [spark] AmplabJenkins commented on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG

2019-06-21 Thread GitBox
AmplabJenkins commented on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG URL: https://github.com/apache/spark/pull/24861#issuecomment-504518219 Merged build finished. Test PASSed.

[GitHub] [spark] SparkQA removed a comment on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG

2019-06-21 Thread GitBox
SparkQA removed a comment on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG URL: https://github.com/apache/spark/pull/24861#issuecomment-504472811 **[Test build #106772 has

[GitHub] [spark] SparkQA commented on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG

2019-06-21 Thread GitBox
SparkQA commented on issue #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG URL: https://github.com/apache/spark/pull/24861#issuecomment-504517535 **[Test build #106772 has

[GitHub] [spark] BryanCutler closed pull request #24930: [SPARK-28132][PYTHON] Update document type conversion for Pandas UDFs (pyarrow 0.13.0, pandas 0.24.2, Python 3.7)

2019-06-21 Thread GitBox
BryanCutler closed pull request #24930: [SPARK-28132][PYTHON] Update document type conversion for Pandas UDFs (pyarrow 0.13.0, pandas 0.24.2, Python 3.7) URL: https://github.com/apache/spark/pull/24930 This is an automated

[GitHub] [spark] BryanCutler commented on issue #24930: [SPARK-28132][PYTHON] Update document type conversion for Pandas UDFs (pyarrow 0.13.0, pandas 0.24.2, Python 3.7)

2019-06-21 Thread GitBox
BryanCutler commented on issue #24930: [SPARK-28132][PYTHON] Update document type conversion for Pandas UDFs (pyarrow 0.13.0, pandas 0.24.2, Python 3.7) URL: https://github.com/apache/spark/pull/24930#issuecomment-504513469 merged to master, thanks @HyukjinKwon !

[GitHub] [spark] BryanCutler commented on a change in pull request #24930: [SPARK-28132][PYTHON] Update document type conversion for Pandas UDFs (pyarrow 0.13.0, pandas 0.24.2, Python 3.7)

2019-06-21 Thread GitBox
BryanCutler commented on a change in pull request #24930: [SPARK-28132][PYTHON] Update document type conversion for Pandas UDFs (pyarrow 0.13.0, pandas 0.24.2, Python 3.7) URL: https://github.com/apache/spark/pull/24930#discussion_r296332856 ## File path:

[GitHub] [spark] SparkQA commented on issue #24768: [SPARK-27919][SQL] Add v2 session catalog

2019-06-21 Thread GitBox
SparkQA commented on issue #24768: [SPARK-27919][SQL] Add v2 session catalog URL: https://github.com/apache/spark/pull/24768#issuecomment-504509491 **[Test build #106776 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/106776/testReport)** for PR 24768 at

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