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[GitHub] [spark] WangGuangxin commented on a change in pull request #26899: [SPARK-28332][SQL] Reserve init value -1 only when do min max statistics in SQLMetrics

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[GitHub] [spark] HeartSaVioR commented on issue #26960: [SPARK-28144][SPARK-29294][SQL][SS] Upgrade the version of Kafka to 2.4

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[GitHub] [spark] cloud-fan commented on a change in pull request #26847: [SPARK-30214][SQL] Support COMMENT ON syntax

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[GitHub] [spark] cloud-fan commented on issue #26899: [SPARK-28332][SQL] Reserve init value -1 only when do min max statistics in SQLMetrics

cloud-fan commented on issue #26899: [SPARK-28332][SQL] Reserve init value -1 only when do min max statistics in SQLMetrics URL: https://github.com/apache/spark/pull/26899#issuecomment-567879963 LGTM except https://github.com/apache/spark/pull/26899/files#r360316530

[GitHub] [spark] beliefer commented on a change in pull request #26962: [SPARK-28083][SQL][FOLLOW-UP] Fix incorrect comment for LIKE ... ESCAPE

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[GitHub] [spark] LucaCanali edited a comment on issue #26953: [SPARK-30306][CORE][PYTHON] Instrument Python UDF execution time and metrics using Spark Metrics system

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[GitHub] [spark] zhengruifeng commented on issue #26948: [SPARK-30120][ML] LSH approxNearestNeighbors should use BoundedPriorityQueue when numNearestNeighbors is small

zhengruifeng commented on issue #26948: [SPARK-30120][ML] LSH approxNearestNeighbors should use BoundedPriorityQueue when numNearestNeighbors is small URL: https://github.com/apache/spark/pull/26948#issuecomment-567872286 ping @srowen How do you think of this?

[GitHub] [spark] beliefer commented on a change in pull request #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression

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[GitHub] [spark] yaooqinn commented on a change in pull request #26847: [SPARK-30214][SQL] Support COMMENT ON syntax

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[GitHub] [spark] LucaCanali commented on issue #26953: [SPARK-30306][CORE][PYTHON] Instrument Python UDF execution time and metrics using Spark Metrics system

LucaCanali commented on issue #26953: [SPARK-30306][CORE][PYTHON] Instrument Python UDF execution time and metrics using Spark Metrics system URL: https://github.com/apache/spark/pull/26953#issuecomment-567869272 Thanks @HyukjinKwon for taking time for this. This functionality propoesed

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[GitHub] [spark] beliefer commented on a change in pull request #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression

beliefer commented on a change in pull request #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression URL: https://github.com/apache/spark/pull/26656#discussion_r360303985 ## File path:

[GitHub] [spark] wenfang6 opened a new pull request #26965: Support single quotes json parsing for get_json_object and json_tuple

wenfang6 opened a new pull request #26965: Support single quotes json parsing for get_json_object and json_tuple URL: https://github.com/apache/spark/pull/26965 ### What changes were proposed in this pull request? I execute some query as` select get_json_object(ytag, '$.y1') AS y1

[GitHub] [spark] AmplabJenkins commented on issue #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile

AmplabJenkins commented on issue #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile URL: https://github.com/apache/spark/pull/26905#issuecomment-567864211 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile

AmplabJenkins commented on issue #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile URL: https://github.com/apache/spark/pull/26905#issuecomment-567864197 Merged build finished. Test PASSed.

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[GitHub] [spark] AmplabJenkins removed a comment on issue #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile

AmplabJenkins removed a comment on issue #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile URL: https://github.com/apache/spark/pull/26905#issuecomment-567864197 Merged build finished. Test PASSed.

[GitHub] [spark] SparkQA commented on issue #26231: [SPARK-29572][SQL] add v1 read fallback API in DS v2

SparkQA commented on issue #26231: [SPARK-29572][SQL] add v1 read fallback API in DS v2 URL: https://github.com/apache/spark/pull/26231#issuecomment-567862697 **[Test build #115616 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/115616/testReport)** for PR

[GitHub] [spark] yaooqinn commented on a change in pull request #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile

yaooqinn commented on a change in pull request #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile URL: https://github.com/apache/spark/pull/26905#discussion_r360297425 ## File path:

[GitHub] [spark] cloud-fan commented on a change in pull request #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression

cloud-fan commented on a change in pull request #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression URL: https://github.com/apache/spark/pull/26656#discussion_r360296384 ## File path:

[GitHub] [spark] wzhfy commented on issue #26964: [SPARK-30269][SQL][2.3] Should use old partition stats to decide whether to update stats when analyzing partition

wzhfy commented on issue #26964: [SPARK-30269][SQL][2.3] Should use old partition stats to decide whether to update stats when analyzing partition URL: https://github.com/apache/spark/pull/26964#issuecomment-567861134 Ok.

[GitHub] [spark] yaooqinn commented on a change in pull request #26942: [SPARK-30301][SQL] Fix wrong results when datetimes as fields of complex types

yaooqinn commented on a change in pull request #26942: [SPARK-30301][SQL] Fix wrong results when datetimes as fields of complex types URL: https://github.com/apache/spark/pull/26942#discussion_r360295033 ## File path:

[GitHub] [spark] cloud-fan commented on a change in pull request #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression

cloud-fan commented on a change in pull request #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression URL: https://github.com/apache/spark/pull/26656#discussion_r360294016 ## File path:

[GitHub] [spark] cloud-fan commented on a change in pull request #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression

cloud-fan commented on a change in pull request #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression URL: https://github.com/apache/spark/pull/26656#discussion_r360293704 ## File path:

[GitHub] [spark] cloud-fan commented on a change in pull request #26942: [SPARK-30301][SQL] Fix wrong results when datetimes as fields of complex types

cloud-fan commented on a change in pull request #26942: [SPARK-30301][SQL] Fix wrong results when datetimes as fields of complex types URL: https://github.com/apache/spark/pull/26942#discussion_r360292402 ## File path:

[GitHub] [spark] cloud-fan commented on a change in pull request #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression

cloud-fan commented on a change in pull request #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression URL: https://github.com/apache/spark/pull/26656#discussion_r360292670 ## File path:

[GitHub] [spark] yaooqinn commented on a change in pull request #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile

yaooqinn commented on a change in pull request #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile URL: https://github.com/apache/spark/pull/26905#discussion_r360292561 ## File path:

[GitHub] [spark] AmplabJenkins removed a comment on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

AmplabJenkins removed a comment on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures URL: https://github.com/apache/spark/pull/26803#issuecomment-567858099 Merged build finished. Test PASSed. This is an

[GitHub] [spark] AmplabJenkins removed a comment on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

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[GitHub] [spark] cloud-fan commented on a change in pull request #26946: [SPARK-30036][SQL] Fix: REPARTITION hint does not work with order by

cloud-fan commented on a change in pull request #26946: [SPARK-30036][SQL] Fix: REPARTITION hint does not work with order by URL: https://github.com/apache/spark/pull/26946#discussion_r360291694 ## File path:

[GitHub] [spark] AmplabJenkins commented on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

AmplabJenkins commented on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures URL: https://github.com/apache/spark/pull/26803#issuecomment-567858106 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

AmplabJenkins commented on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures URL: https://github.com/apache/spark/pull/26803#issuecomment-567858099 Merged build finished. Test PASSed. This is an

[GitHub] [spark] cloud-fan commented on issue #26946: [SPARK-30036][SQL] Fix: REPARTITION hint does not work with order by

cloud-fan commented on issue #26946: [SPARK-30036][SQL] Fix: REPARTITION hint does not work with order by URL: https://github.com/apache/spark/pull/26946#issuecomment-567858259 shall we add an end-to-end test for `SELECT /*+ REPARTITION(5) */ * FROM test ORDER BY a`?

[GitHub] [spark] HyukjinKwon closed pull request #26964: [SPARK-30269][SQL][2.3] Should use old partition stats to decide whether to update stats when analyzing partition

HyukjinKwon closed pull request #26964: [SPARK-30269][SQL][2.3] Should use old partition stats to decide whether to update stats when analyzing partition URL: https://github.com/apache/spark/pull/26964 This is an automated

[GitHub] [spark] HyukjinKwon commented on issue #26964: [SPARK-30269][SQL][2.3] Should use old partition stats to decide whether to update stats when analyzing partition

HyukjinKwon commented on issue #26964: [SPARK-30269][SQL][2.3] Should use old partition stats to decide whether to update stats when analyzing partition URL: https://github.com/apache/spark/pull/26964#issuecomment-567857850 @wzhfy, Spark 2.3.x is EOL so there would be no more release in

[GitHub] [spark] cloud-fan commented on a change in pull request #26946: [SPARK-30036][SQL] Fix: REPARTITION hint does not work with order by

cloud-fan commented on a change in pull request #26946: [SPARK-30036][SQL] Fix: REPARTITION hint does not work with order by URL: https://github.com/apache/spark/pull/26946#discussion_r360291470 ## File path:

[GitHub] [spark] cloud-fan commented on a change in pull request #26946: [SPARK-30036][SQL] Fix: REPARTITION hint does not work with order by

cloud-fan commented on a change in pull request #26946: [SPARK-30036][SQL] Fix: REPARTITION hint does not work with order by URL: https://github.com/apache/spark/pull/26946#discussion_r360290729 ## File path: sql/core/src/test/scala/org/apache/spark/sql/ConfigBehaviorSuite.scala

[GitHub] [spark] yaooqinn commented on a change in pull request #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile

yaooqinn commented on a change in pull request #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile URL: https://github.com/apache/spark/pull/26905#discussion_r360290052 ## File path:

[GitHub] [spark] SparkQA commented on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

SparkQA commented on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures URL: https://github.com/apache/spark/pull/26803#issuecomment-567856350 **[Test build #115610 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/115610/testReport)**

[GitHub] [spark] SparkQA removed a comment on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

SparkQA removed a comment on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures URL: https://github.com/apache/spark/pull/26803#issuecomment-567836180 **[Test build #115610 has

[GitHub] [spark] yaooqinn commented on a change in pull request #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile

yaooqinn commented on a change in pull request #26905: [SPARK-30266][SQL] Avoid match error and int overflow in ApproximatePercentile URL: https://github.com/apache/spark/pull/26905#discussion_r360289271 ## File path:

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