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[GitHub] [spark] wenxuanguan commented on issue #24828: [SPARK-27983][SS]Defer the initialization of kafka producer until used

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[GitHub] [spark] gengliangwang commented on issue #24783: [SPARK-27105][SQL][test-hadoop3.2] Optimize away exponential complexity in ORC predicate conversion

gengliangwang commented on issue #24783: [SPARK-27105][SQL][test-hadoop3.2] Optimize away exponential complexity in ORC predicate conversion URL: https://github.com/apache/spark/pull/24783#issuecomment-500186109 > Since @IvanVergiliev has spent a lot of effort on #24068 and the PR itself

[GitHub] [spark] wenxuanguan opened a new pull request #24828: [SPARK-27983][SS]Defer the initialization of kafka producer until used

wenxuanguan opened a new pull request #24828: [SPARK-27983][SS]Defer the initialization of kafka producer until used URL: https://github.com/apache/spark/pull/24828 ## What changes were proposed in this pull request? defer the initialization of kafka producer until used in

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[GitHub] [spark] HyukjinKwon opened a new pull request #24827: Revert "[SPARK-27870][SQL][PYSPARK] Flush batch timely for pandas UDF (for improving pandas UDFs pipeline)"

HyukjinKwon opened a new pull request #24827: Revert "[SPARK-27870][SQL][PYSPARK] Flush batch timely for pandas UDF (for improving pandas UDFs pipeline)" URL: https://github.com/apache/spark/pull/24827 ## What changes were proposed in this pull request? This PR revert

[GitHub] [spark] HyukjinKwon edited a comment on issue #24826: [SPARK-27870][SQL][PYTHON] Add a runtime buffer size configuration for Pandas UDFs

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[GitHub] [spark] HyukjinKwon edited a comment on issue #24734: [SPARK-27870][SQL][PySpark] Flush batch timely for pandas UDF (for improving pandas UDFs pipeline)

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[GitHub] [spark] HyukjinKwon commented on issue #24734: [SPARK-27870][SQL][PySpark] Flush batch timely for pandas UDF (for improving pandas UDFs pipeline)

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[GitHub] [spark] HyukjinKwon edited a comment on issue #24818: [SPARK-27971[SQL][R] MapPartitionsInRWithArrowExec.evaluate shouldn't eagerly read the first batch

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[GitHub] [spark] HyukjinKwon commented on issue #24818: [SPARK-27971[SQL][R] MapPartitionsInRWithArrowExec.evaluate shouldn't eagerly read the first batch

HyukjinKwon commented on issue #24818: [SPARK-27971[SQL][R] MapPartitionsInRWithArrowExec.evaluate shouldn't eagerly read the first batch URL: https://github.com/apache/spark/pull/24818#issuecomment-500184547 Yea .. I was thinking about that. I just wanted to like ugly deduplication ...

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[GitHub] [spark] dongjoon-hyun commented on issue #24825: [SPARK-27981][CORE] Remove `Illegal reflective access` warning for `java.nio.Bits.unaligned()` in JDK9+

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[GitHub] [spark] felixcheung commented on a change in pull request #24811: [SPARK-27962][R][CORE] Propagate subprocess stdout in deploy.RRunner in exception

felixcheung commented on a change in pull request #24811: [SPARK-27962][R][CORE] Propagate subprocess stdout in deploy.RRunner in exception URL: https://github.com/apache/spark/pull/24811#discussion_r291826024 ## File path: core/src/main/scala/org/apache/spark/deploy/RRunner.scala

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[GitHub] [spark] felixcheung commented on issue #24811: [SPARK-27962][R][CORE] Propagate subprocess stdout in deploy.RRunner in exception

felixcheung commented on issue #24811: [SPARK-27962][R][CORE] Propagate subprocess stdout in deploy.RRunner in exception URL: https://github.com/apache/spark/pull/24811#issuecomment-500182857 looks like we need to trigger appveyor manually @jeremyjliu could you touch a file under

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[GitHub] [spark] felixcheung commented on issue #21194: [SPARK-24046][SS] Fix rate source when rowsPerSecond <= rampUpTime

felixcheung commented on issue #21194: [SPARK-24046][SS] Fix rate source when rowsPerSecond <= rampUpTime URL: https://github.com/apache/spark/pull/21194#issuecomment-500182682 @zsxwing @jose-torres This is an automated

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[GitHub] [spark] dongjoon-hyun commented on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC

dongjoon-hyun commented on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC URL: https://github.com/apache/spark/pull/24043#issuecomment-500182472 Gentle ping, @WangGuangxin . This is an automated message from

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[GitHub] [spark] AmplabJenkins commented on issue #24490: [SPARK-27300][GRAPH] Add Spark Graph modules and dependencies

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[GitHub] [spark] SparkQA commented on issue #24490: [SPARK-27300][GRAPH] Add Spark Graph modules and dependencies

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[GitHub] [spark] felixcheung commented on issue #24818: [SPARK-27971[SQL][R] MapPartitionsInRWithArrowExec.evaluate shouldn't eagerly read the first batch

felixcheung commented on issue #24818: [SPARK-27971[SQL][R] MapPartitionsInRWithArrowExec.evaluate shouldn't eagerly read the first batch URL: https://github.com/apache/spark/pull/24818#issuecomment-500181913 just curious, is it possible to share more infra between python and R so we

[GitHub] [spark] felixcheung removed a comment on issue #24677: [SPARK-27805][PYTHON] Propagate SparkExceptions during toPandas with arrow enabled

felixcheung removed a comment on issue #24677: [SPARK-27805][PYTHON] Propagate SparkExceptions during toPandas with arrow enabled URL: https://github.com/apache/spark/pull/24677#issuecomment-500181688 @BryanCutler this looks fairly isolated and self contained, should worth a look to

[GitHub] [spark] felixcheung commented on issue #24677: [SPARK-27805][PYTHON] Propagate SparkExceptions during toPandas with arrow enabled

felixcheung commented on issue #24677: [SPARK-27805][PYTHON] Propagate SparkExceptions during toPandas with arrow enabled URL: https://github.com/apache/spark/pull/24677#issuecomment-500181737 > After checking it out with branch-2.4, it is possible to get partial results in Python, but

[GitHub] [spark] felixcheung edited a comment on issue #24677: [SPARK-27805][PYTHON] Propagate SparkExceptions during toPandas with arrow enabled

felixcheung edited a comment on issue #24677: [SPARK-27805][PYTHON] Propagate SparkExceptions during toPandas with arrow enabled URL: https://github.com/apache/spark/pull/24677#issuecomment-500181688 @BryanCutler this looks fairly isolated and self contained, should worth a look to

[GitHub] [spark] kiszk commented on issue #24825: [SPARK-27981][CORE] Remove `Illegal reflective access` warning for `java.nio.Bits.unaligned()` in JDK9+

kiszk commented on issue #24825: [SPARK-27981][CORE] Remove `Illegal reflective access` warning for `java.nio.Bits.unaligned()` in JDK9+ URL: https://github.com/apache/spark/pull/24825#issuecomment-500181694 Sorry for late LGTM

[GitHub] [spark] felixcheung commented on issue #24677: [SPARK-27805][PYTHON] Propagate SparkExceptions during toPandas with arrow enabled

felixcheung commented on issue #24677: [SPARK-27805][PYTHON] Propagate SparkExceptions during toPandas with arrow enabled URL: https://github.com/apache/spark/pull/24677#issuecomment-500181688 @BryanCutler this looks fairly isolated and self contained, should worth a look to backport to

[GitHub] [spark] SparkQA commented on issue #24472: [SPARK-27578][SQL] Support INTERVAL ... HOUR TO SECOND syntax

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[GitHub] [spark] dongjoon-hyun commented on issue #24472: [SPARK-27578][SQL] Support INTERVAL ... HOUR TO SECOND syntax

dongjoon-hyun commented on issue #24472: [SPARK-27578][SQL] Support INTERVAL ... HOUR TO SECOND syntax URL: https://github.com/apache/spark/pull/24472#issuecomment-500180615 So, could you give us some further direction, @gatorsmile ?

[GitHub] [spark] dongjoon-hyun commented on issue #24472: [SPARK-27578][SQL] Support INTERVAL ... HOUR TO SECOND syntax

dongjoon-hyun commented on issue #24472: [SPARK-27578][SQL] Support INTERVAL ... HOUR TO SECOND syntax URL: https://github.com/apache/spark/pull/24472#issuecomment-500180577 Retest this please. This is an automated message

[GitHub] [spark] AmplabJenkins removed a comment on issue #24779: [SPARK-27929][SQL] Make percentile function receive frq of double

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[GitHub] [spark] SparkQA removed a comment on issue #24779: [SPARK-27929][SQL] Make percentile function receive frq of double

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[GitHub] [spark] HyukjinKwon closed pull request #24818: [SPARK-27971[SQL][R] MapPartitionsInRWithArrowExec.evaluate shouldn't eagerly read the first batch

HyukjinKwon closed pull request #24818: [SPARK-27971[SQL][R] MapPartitionsInRWithArrowExec.evaluate shouldn't eagerly read the first batch URL: https://github.com/apache/spark/pull/24818 This is an automated message from

[GitHub] [spark] SparkQA commented on issue #24779: [SPARK-27929][SQL] Make percentile function receive frq of double

SparkQA commented on issue #24779: [SPARK-27929][SQL] Make percentile function receive frq of double URL: https://github.com/apache/spark/pull/24779#issuecomment-500180252 **[Test build #106318 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #24779: [SPARK-27929][SQL] Make percentile function receive frq of double

AmplabJenkins removed a comment on issue #24779: [SPARK-27929][SQL] Make percentile function receive frq of double URL: https://github.com/apache/spark/pull/24779#issuecomment-498225207 Can one of the admins verify this patch?

[GitHub] [spark] dongjoon-hyun commented on issue #24779: [SPARK-27929][SQL] Make percentile function receive frq of double

dongjoon-hyun commented on issue #24779: [SPARK-27929][SQL] Make percentile function receive frq of double URL: https://github.com/apache/spark/pull/24779#issuecomment-500180180 ok to test This is an automated message from

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