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[GitHub] [spark] HyukjinKwon closed pull request #24894: [SPARK-28058][DOC] Add a note to doc of mode of CSV for column pruning

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[GitHub] [spark] JkSelf commented on a change in pull request #21950: [SPARK-24914][SQL] Add configuration to avoid OOM during broadcast join (and other negative side effects of incorrect table sizing

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[GitHub] [spark] mccheah commented on issue #24798: [SPARK-27724][SQL] Implement REPLACE TABLE and REPLACE TABLE AS SELECT with V2

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[GitHub] [spark] cloud-fan commented on a change in pull request #24830: [SPARK-27990][SQL][ML] Provide a way to recursively load data from datasource

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[GitHub] [spark] zhengruifeng commented on a change in pull request #24868: [SPARK-28044][ML][PYTHON] MulticlassClassificationEvaluator support more metrics

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[GitHub] [spark] mengxr commented on issue #24897: [SPARK-28056] [PYTHON] add doc for SCALAR_ITER Pandas UDF

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[GitHub] [spark] dongjoon-hyun commented on issue #24889: [SPARK-28072][SQL] Fix IncompatibleClassChangeError in `FromUnixTime` codegen on JDK9+

dongjoon-hyun commented on issue #24889: [SPARK-28072][SQL] Fix IncompatibleClassChangeError in `FromUnixTime` codegen on JDK9+ URL: https://github.com/apache/spark/pull/24889#issuecomment-502938150 Hi, @cloud-fan , @srowen , @MaxGekk . This PR(title/description/content) is updated with

[GitHub] [spark] cloud-fan commented on issue #24889: [SPARK-28072][SQL] Fix IncompatibleClassChangeError in `FromUnixTime` codegen on JDK9+

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[GitHub] [spark] HyukjinKwon opened a new pull request #24898: [WIP][SPARK-22340][PYTHON] Add a mode to pin Python thread into JVM's

HyukjinKwon opened a new pull request #24898: [WIP][SPARK-22340][PYTHON] Add a mode to pin Python thread into JVM's URL: https://github.com/apache/spark/pull/24898 ## What changes were proposed in this pull request? This PR proposes to pin Python thread into JVM's. WIP.

[GitHub] [spark] cloud-fan commented on issue #24891: [SPARK-28075][SQL] Enhance TRIM function

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[GitHub] [spark] HyukjinKwon commented on a change in pull request #24898: [WIP][SPARK-22340][PYTHON] Add a mode to pin Python thread into JVM's

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[GitHub] [spark] dongjoon-hyun commented on issue #23547: [WIP][SQL] Don't always trust primitive types being not-nullable from Scala type information when creating Encoders

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[GitHub] [spark] dongjoon-hyun commented on issue #24889: [SPARK-28072][SQL] Fix IncompatibleClassChangeError in `FromUnixTime` codegen on JDK9+

dongjoon-hyun commented on issue #24889: [SPARK-28072][SQL] Fix IncompatibleClassChangeError in `FromUnixTime` codegen on JDK9+ URL: https://github.com/apache/spark/pull/24889#issuecomment-502945094 Thank you for approval, @cloud-fan !

[GitHub] [spark] wangyum opened a new pull request #24899: [SPARK-28088][SQL] Enhance LPAD/RPAD function

wangyum opened a new pull request #24899: [SPARK-28088][SQL] Enhance LPAD/RPAD function URL: https://github.com/apache/spark/pull/24899 ## What changes were proposed in this pull request? This pr enhance `LPAD`/`RPAD` function to make `pad` optional. ## How was this patch

[GitHub] [spark] SparkQA commented on issue #24899: [SPARK-28088][SQL] Enhance LPAD/RPAD function

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[GitHub] [spark] gengliangwang opened a new pull request #24900: [SPARK-28089][SQL] File source v2: support reading output of file streaming Sink

gengliangwang opened a new pull request #24900: [SPARK-28089][SQL] File source v2: support reading output of file streaming Sink URL: https://github.com/apache/spark/pull/24900 ## What changes were proposed in this pull request? File source V1 supports reading output of

[GitHub] [spark] jerryshao commented on a change in pull request #24848: [SPARK-28014][core] All waiting apps will be changed to the wrong state of Running after master changed.

jerryshao commented on a change in pull request #24848: [SPARK-28014][core] All waiting apps will be changed to the wrong state of Running after master changed. URL: https://github.com/apache/spark/pull/24848#discussion_r294620175 ## File path:

[GitHub] [spark] gengliangwang edited a comment on issue #24900: [SPARK-28089][SQL] File source v2: support reading output of file streaming Sink

gengliangwang edited a comment on issue #24900: [SPARK-28089][SQL] File source v2: support reading output of file streaming Sink URL: https://github.com/apache/spark/pull/24900#issuecomment-502958978 This PR also resolves several TODO testing items in

[GitHub] [spark] gengliangwang edited a comment on issue #24900: [SPARK-28089][SQL] File source v2: support reading output of file streaming Sink

gengliangwang edited a comment on issue #24900: [SPARK-28089][SQL] File source v2: support reading output of file streaming Sink URL: https://github.com/apache/spark/pull/24900#issuecomment-502958978 This PR also resolve several TODO testing items in

[GitHub] [spark] SparkQA commented on issue #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning

SparkQA commented on issue #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning URL: https://github.com/apache/spark/pull/24894#issuecomment-502914590 **[Test build #106601 has

[GitHub] [spark] SparkQA commented on issue #24798: [SPARK-27724][SQL] Implement REPLACE TABLE and REPLACE TABLE AS SELECT with V2

SparkQA commented on issue #24798: [SPARK-27724][SQL] Implement REPLACE TABLE and REPLACE TABLE AS SELECT with V2 URL: https://github.com/apache/spark/pull/24798#issuecomment-502917439 **[Test build #106602 has

[GitHub] [spark] dongjoon-hyun commented on issue #24889: [SPARK-28072][SQL] Use `Iso8601TimestampFormatter` in `FromUnixTime` codegen to fix ICCE in JDK9+

dongjoon-hyun commented on issue #24889: [SPARK-28072][SQL] Use `Iso8601TimestampFormatter` in `FromUnixTime` codegen to fix ICCE in JDK9+ URL: https://github.com/apache/spark/pull/24889#issuecomment-502922941 @cloud-fan . I'm @dongjoon-hyun . :) Ya. I believe so for those cases. For

[GitHub] [spark] dongjoon-hyun edited a comment on issue #24889: [SPARK-28072][SQL] Use `Iso8601TimestampFormatter` in `FromUnixTime` codegen to fix ICCE in JDK9+

dongjoon-hyun edited a comment on issue #24889: [SPARK-28072][SQL] Use `Iso8601TimestampFormatter` in `FromUnixTime` codegen to fix ICCE in JDK9+ URL: https://github.com/apache/spark/pull/24889#issuecomment-502922941 @cloud-fan . I'm @dongjoon-hyun . :) For the other `.apply` cases,

[GitHub] [spark] cloud-fan commented on issue #24889: [SPARK-28072][SQL] Use `Iso8601TimestampFormatter` in `FromUnixTime` codegen to fix ICCE in JDK9+

cloud-fan commented on issue #24889: [SPARK-28072][SQL] Use `Iso8601TimestampFormatter` in `FromUnixTime` codegen to fix ICCE in JDK9+ URL: https://github.com/apache/spark/pull/24889#issuecomment-502925426 @dongjoon-hyun sorry, typo 

[GitHub] [spark] AmplabJenkins commented on issue #24894: [SPARK-28058][DOC] Add a note to doc of mode of CSV for column pruning

AmplabJenkins commented on issue #24894: [SPARK-28058][DOC] Add a note to doc of mode of CSV for column pruning URL: https://github.com/apache/spark/pull/24894#issuecomment-502931107 Merged build finished. Test PASSed. This

[GitHub] [spark] AmplabJenkins commented on issue #24894: [SPARK-28058][DOC] Add a note to doc of mode of CSV for column pruning

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[GitHub] [spark] SparkQA commented on issue #24897: [SPARK-28056] [PYTHON] add doc for SCALAR_ITER Pandas UDF

SparkQA commented on issue #24897: [SPARK-28056] [PYTHON] add doc for SCALAR_ITER Pandas UDF URL: https://github.com/apache/spark/pull/24897#issuecomment-502931212 **[Test build #106604 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/106604/testReport)**

[GitHub] [spark] SparkQA removed a comment on issue #24897: [SPARK-28056] [PYTHON] add doc for SCALAR_ITER Pandas UDF

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[GitHub] [spark] SparkQA commented on issue #24868: [SPARK-28044][ML][PYTHON] MulticlassClassificationEvaluator support more metrics

SparkQA commented on issue #24868: [SPARK-28044][ML][PYTHON] MulticlassClassificationEvaluator support more metrics URL: https://github.com/apache/spark/pull/24868#issuecomment-502940759 **[Test build #106603 has

[GitHub] [spark] SparkQA removed a comment on issue #24868: [SPARK-28044][ML][PYTHON] MulticlassClassificationEvaluator support more metrics

SparkQA removed a comment on issue #24868: [SPARK-28044][ML][PYTHON] MulticlassClassificationEvaluator support more metrics URL: https://github.com/apache/spark/pull/24868#issuecomment-502928603 **[Test build #106603 has

[GitHub] [spark] SparkQA commented on issue #24894: [SPARK-28058][DOC] Add a note to doc of mode of CSV for column pruning

SparkQA commented on issue #24894: [SPARK-28058][DOC] Add a note to doc of mode of CSV for column pruning URL: https://github.com/apache/spark/pull/24894#issuecomment-502946924 **[Test build #106601 has

[GitHub] [spark] AmplabJenkins commented on issue #24894: [SPARK-28058][DOC] Add a note to doc of mode of CSV for column pruning

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[GitHub] [spark] AmplabJenkins commented on issue #24894: [SPARK-28058][DOC] Add a note to doc of mode of CSV for column pruning

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[GitHub] [spark] SparkQA removed a comment on issue #24894: [SPARK-28058][DOC] Add a note to doc of mode of CSV for column pruning

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[GitHub] [spark] AmplabJenkins commented on issue #24899: [SPARK-28088][SQL] Enhance LPAD/RPAD function

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[GitHub] [spark] gengliangwang commented on issue #24900: [SPARK-28089][SQL] File source v2: support reading output of file streaming Sink

gengliangwang commented on issue #24900: [SPARK-28089][SQL] File source v2: support reading output of file streaming Sink URL: https://github.com/apache/spark/pull/24900#issuecomment-502958978 This PR also resolve several TODO items in https://github.com/apache/spark/pull/24830.

[GitHub] [spark] AmplabJenkins commented on issue #24900: [SPARK-28089][SQL] File source v2: support reading output of file streaming Sink

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[GitHub] [spark] icexelloss commented on issue #24896: [WIP][SPARK-28006] User-defined grouped transform pandas_udf for window operations

icexelloss commented on issue #24896: [WIP][SPARK-28006] User-defined grouped transform pandas_udf for window operations URL: https://github.com/apache/spark/pull/24896#issuecomment-502873136 Still WIP, but the implementation looks pretty straight forward. Need to make WindowExecInPandas

[GitHub] [spark] jiangxb1987 commented on a change in pull request #24856: [SPARK-27823] [CORE] Refactor resource handling code

jiangxb1987 commented on a change in pull request #24856: [SPARK-27823] [CORE] Refactor resource handling code URL: https://github.com/apache/spark/pull/24856#discussion_r294528431 ## File path: core/src/main/scala/org/apache/spark/resource/ResourceUtils.scala ## @@ -0,0

[GitHub] [spark] parthchandra commented on a change in pull request #24865: [SPARK-27100][SQL] dag-scheduler-event-loop" java.lang.StackOverflowError

parthchandra commented on a change in pull request #24865: [SPARK-27100][SQL] dag-scheduler-event-loop" java.lang.StackOverflowError URL: https://github.com/apache/spark/pull/24865#discussion_r294562285 ## File path:

[GitHub] [spark] HyukjinKwon commented on issue #24894: [SPARK-28082][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning

HyukjinKwon commented on issue #24894: [SPARK-28082][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning URL: https://github.com/apache/spark/pull/24894#issuecomment-502895949 retest this please This is an

[GitHub] [spark] HyukjinKwon commented on issue #24867: [SPARK-28041][PYTHON] Increase minimum supported Pandas to 0.23.2

HyukjinKwon commented on issue #24867: [SPARK-28041][PYTHON] Increase minimum supported Pandas to 0.23.2 URL: https://github.com/apache/spark/pull/24867#issuecomment-502895583 Merged to master. This is an automated message

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[GitHub] [spark] AmplabJenkins commented on issue #24795: [SPARK-27945][SQL] Minimal changes to support columnar processing

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