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[GitHub] [spark] zhengruifeng commented on a change in pull request #27758: [SPARK-31007][ML] KMeans optimization based on triangle-inequality

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[GitHub] [spark] zhengruifeng commented on a change in pull request #27758: [SPARK-31007][ML] KMeans optimization based on triangle-inequality

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[GitHub] [spark] maropu commented on a change in pull request #21479: [SPARK-23903][SQL] Add support for date extract

maropu commented on a change in pull request #21479: URL: https://github.com/apache/spark/pull/21479#discussion_r409933251 ## File path: sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ## @@ -592,6 +592,7 @@ primaryExpression | identifier

[GitHub] [spark] maropu commented on a change in pull request #21479: [SPARK-23903][SQL] Add support for date extract

maropu commented on a change in pull request #21479: URL: https://github.com/apache/spark/pull/21479#discussion_r409933251 ## File path: sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ## @@ -592,6 +592,7 @@ primaryExpression | identifier

[GitHub] [spark] HeartSaVioR commented on a change in pull request #27620: [SPARK-30866][SS] FileStreamSource: Cache fetched list of files beyond maxFilesPerTrigger as unread files

HeartSaVioR commented on a change in pull request #27620: URL: https://github.com/apache/spark/pull/27620#discussion_r411779675 ## File path: sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSourceSuite.scala ## @@ -1935,6 +1928,120 @@ class

[GitHub] [spark] HeartSaVioR commented on a change in pull request #27620: [SPARK-30866][SS] FileStreamSource: Cache fetched list of files beyond maxFilesPerTrigger as unread files

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[GitHub] [spark] maropu commented on a change in pull request #28276: [SPARK-31476][SQL][FOLLOWUP] Add tests for extract('field', source)

maropu commented on a change in pull request #28276: URL: https://github.com/apache/spark/pull/28276#discussion_r411881765 ## File path: sql/core/src/test/resources/sql-tests/inputs/extract.sql ## @@ -83,3 +83,21 @@ select extract(epoch from c) from t; select

[GitHub] [spark] maropu commented on a change in pull request #28276: [SPARK-31476][SQL][FOLLOWUP] Add tests for extract('field', source)

maropu commented on a change in pull request #28276: URL: https://github.com/apache/spark/pull/28276#discussion_r411881765 ## File path: sql/core/src/test/resources/sql-tests/inputs/extract.sql ## @@ -83,3 +83,21 @@ select extract(epoch from c) from t; select

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[GitHub] [spark] SparkQA commented on issue #28248: [SPARK-31474][SQL] Consistency between dayofweek/dow in extract exprsession and dayofweek function

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[GitHub] [spark] zhengruifeng commented on issue #28229: [SPARK-31454][ML] An optimized K-Means based on DenseMatrix and GEMM

zhengruifeng commented on issue #28229: URL: https://github.com/apache/spark/pull/28229#issuecomment-616959227 also ping @mengxr @WeichenXu123 What about adding an option and letting end user to choose whether to enable high-level BLAS?

[GitHub] [spark] gengliangwang commented on issue #28208: [SPARK-31440][SQL] Improve SQL Rest API

gengliangwang commented on issue #28208: URL: https://github.com/apache/spark/pull/28208#issuecomment-616959190 I see. From the https://issues.apache.org/jira/secure/attachment/13000621/improved_version.json, if there are only nodes without edges, it seems providing node id is

[GitHub] [spark] jinwensc opened a new pull request #28278: "[SPARK-29274][SQL] Fix compare bigdecimal and string, string cast to…

jinwensc opened a new pull request #28278: URL: https://github.com/apache/spark/pull/28278 … bigdecimal not both cast to double" ### What changes were proposed in this pull request? Fix zhe bug when compare bigdecimal with string,both will cast to double,result in precision

[GitHub] [spark] xwu99 commented on issue #27758: [SPARK-31007][ML] KMeans optimization based on triangle-inequality

xwu99 commented on issue #27758: URL: https://github.com/apache/spark/pull/27758#issuecomment-616958956 > In current impl, following Lemma is used in KMeans: > > 0, Let x be a point, let b be a center and o be the origin, then d(x,c) >= |(d(x,o) - d(c,o))| = |norm-norm(c)| >

[GitHub] [spark] zhengruifeng commented on issue #28229: [SPARK-31454][ML] An optimized K-Means based on DenseMatrix and GEMM

zhengruifeng commented on issue #28229: URL: https://github.com/apache/spark/pull/28229#issuecomment-616958445 I am OK if we can avoid performance regression on sparse datasets. It is up to the end users to choose the right impl. @srowen How you think about it?

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[GitHub] [spark] erenavsarogullari commented on issue #28208: [SPARK-31440][SQL] Improve SQL Rest API

erenavsarogullari commented on issue #28208: URL: https://github.com/apache/spark/pull/28208#issuecomment-616957907 Hi @gengliangwang, Thanks for the review. `improved_version` link has just been updated as

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[GitHub] [spark] gengliangwang commented on issue #28208: [SPARK-31440][SQL] Improve SQL Rest API

gengliangwang commented on issue #28208: URL: https://github.com/apache/spark/pull/28208#issuecomment-616956525 Hi @erenavsarogullari Thanks for the work. The link https://issues.apache.org/jira/secure/attachment/12999822/improved_version.json is broken now. Could you fix it?

[GitHub] [spark] gengliangwang commented on a change in pull request #28208: [SPARK-31440][SQL] Improve SQL Rest API

gengliangwang commented on a change in pull request #28208: URL: https://github.com/apache/spark/pull/28208#discussion_r411874450 ## File path: sql/core/src/main/scala/org/apache/spark/status/api/v1/sql/SqlResource.scala ## @@ -84,18 +119,40 @@ private[v1] class SqlResource

[GitHub] [spark] gengliangwang commented on a change in pull request #28208: [SPARK-31440][SQL] Improve SQL Rest API

gengliangwang commented on a change in pull request #28208: URL: https://github.com/apache/spark/pull/28208#discussion_r411871518 ## File path: sql/core/src/main/scala/org/apache/spark/status/api/v1/sql/SqlResource.scala ## @@ -84,18 +119,40 @@ private[v1] class SqlResource

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[GitHub] [spark] HyukjinKwon commented on issue #28267: [MINOR][DOCS] Fix a typo in ContainerPlacementStrategy's class comment

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[GitHub] [spark] gatorsmile commented on issue #28277: [SPARK-31502][SQL][DOCS] Document identifier in SQL Reference

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[GitHub] [spark] HyukjinKwon commented on a change in pull request #28267: [MINOR][DOCS] Fix a typo in ContainerPlacementStrategy's class comment

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[GitHub] [spark] xwu99 commented on issue #28229: [SPARK-31454][ML] An optimized K-Means based on DenseMatrix and GEMM

xwu99 commented on issue #28229: URL: https://github.com/apache/spark/pull/28229#issuecomment-616953665 @zhengruifeng I am OK with inline switch instead of SparkConf. My general points: 1) Matrix-multiply is highly optimized routine by the industry. If take advantage of it,

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[GitHub] [spark] asclepiusaka commented on issue #28267: [MINOR][DOCS] Fix a typo in ContainerPlacementStrategy's class comment

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[GitHub] [spark] zhengruifeng commented on issue #28270: [SPARK-31494][ML] flatten the result dataframe of ANOVATest

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[GitHub] [spark] zhengruifeng commented on issue #28229: [SPARK-31454][ML] An optimized K-Means based on DenseMatrix and GEMM

zhengruifeng commented on issue #28229: URL: https://github.com/apache/spark/pull/28229#issuecomment-616947377 I am not against this PR. I don't think adding a spark conf is a good idea, but maybe we could add a parameter for end user to switch between impls? or check the first vector

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[GitHub] [spark] huaxingao opened a new pull request #28277: [SPARK-31502][SQL][DOCS] Document identifier in SQL Reference

huaxingao opened a new pull request #28277: URL: https://github.com/apache/spark/pull/28277 ### What changes were proposed in this pull request? Document identifier in SQL Reference ### Why are the changes needed? make SQL Reference complete ### Does this PR

[GitHub] [spark] zhengruifeng edited a comment on issue #28229: [SPARK-31454][ML] An optimized K-Means based on DenseMatrix and GEMM

zhengruifeng edited a comment on issue #28229: URL: https://github.com/apache/spark/pull/28229#issuecomment-616937541 > Did you benchmark with native BLAS with a machine with AVX2 or AVX512 ? The native optimization not only take advantage of multi-thread but also SIMD, cache etc.

[GitHub] [spark] zhengruifeng commented on issue #28229: [SPARK-31454][ML] An optimized K-Means based on DenseMatrix and GEMM

zhengruifeng commented on issue #28229: URL: https://github.com/apache/spark/pull/28229#issuecomment-616937541 > Did you benchmark with native BLAS with a machine with AVX2 or AVX512 ? The native optimization not only take advantage of multi-thread but also SIMD, cache etc. I

[GitHub] [spark] cloud-fan commented on issue #28275: [SPARK-31501][SQL] AQE update UI should not cause deadlock

cloud-fan commented on issue #28275: URL: https://github.com/apache/spark/pull/28275#issuecomment-616936535 good catch! merging to master/3.0 This is an automated message from the Apache Git Service. To respond to the

[GitHub] [spark] HyukjinKwon commented on a change in pull request #28276: [SPARK-31476][SQL][FOLLOWUP] Add tests for extract('field', source)

HyukjinKwon commented on a change in pull request #28276: URL: https://github.com/apache/spark/pull/28276#discussion_r411848301 ## File path: sql/core/src/test/resources/sql-tests/inputs/extract.sql ## @@ -83,3 +83,21 @@ select extract(epoch from c) from t; select

[GitHub] [spark] HyukjinKwon commented on a change in pull request #28276: [SPARK-31476][SQL][FOLLOWUP] Add tests for extract('field', source)

HyukjinKwon commented on a change in pull request #28276: URL: https://github.com/apache/spark/pull/28276#discussion_r411847125 ## File path: sql/core/src/test/resources/sql-tests/inputs/extract.sql ## @@ -83,3 +83,21 @@ select extract(epoch from c) from t; select

[GitHub] [spark] HyukjinKwon commented on a change in pull request #28276: [SPARK-31476][SQL][FOLLOWUP] Add tests for extract('field', source)

HyukjinKwon commented on a change in pull request #28276: URL: https://github.com/apache/spark/pull/28276#discussion_r411846223 ## File path: sql/core/src/test/resources/sql-tests/inputs/extract.sql ## @@ -83,3 +83,21 @@ select extract(epoch from c) from t; select

[GitHub] [spark] AmplabJenkins commented on issue #28208: [SPARK-31440][SQL] Improve SQL Rest API

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[GitHub] [spark] SparkQA commented on issue #28208: [SPARK-31440][SQL] Improve SQL Rest API

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[GitHub] [spark] xwu99 edited a comment on issue #28229: [SPARK-31454][ML] An optimized K-Means based on DenseMatrix and GEMM

xwu99 edited a comment on issue #28229: URL: https://github.com/apache/spark/pull/28229#issuecomment-616930014 > Yeah I think we tried this and it hurt perf on sparse input, no? I'd have to dig it out.. @srowen I will benchmark sparse cases, but could we use this to deal with dense

[GitHub] [spark] AmplabJenkins removed a comment on issue #28274: [SPARK-31498][SQL][DOCS] Dump public static sql configurations through doc generation

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[GitHub] [spark] erenavsarogullari edited a comment on issue #28208: [SPARK-31440][SQL] Improve SQL Rest API

erenavsarogullari edited a comment on issue #28208: URL: https://github.com/apache/spark/pull/28208#issuecomment-616931030 Last build failure seems irrelevant: `org.apache.spark.sql.streaming.StreamingDeduplicationSuite.test no-data flag`

[GitHub] [spark] AmplabJenkins commented on issue #28274: [SPARK-31498][SQL][DOCS] Dump public static sql configurations through doc generation

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[GitHub] [spark] erenavsarogullari commented on issue #28208: [SPARK-31440][SQL] Improve SQL Rest API

erenavsarogullari commented on issue #28208: URL: https://github.com/apache/spark/pull/28208#issuecomment-616931367 retest this please This is an automated message from the Apache Git Service. To respond to the message,

[GitHub] [spark] erenavsarogullari edited a comment on issue #28208: [SPARK-31440][SQL] Improve SQL Rest API

erenavsarogullari edited a comment on issue #28208: URL: https://github.com/apache/spark/pull/28208#issuecomment-616931030 Last build failure seems irrelevant: `org.apache.spark.sql.streaming.StreamingDeduplicationSuite.test no-data flag`

[GitHub] [spark] SparkQA commented on issue #28274: [SPARK-31498][SQL][DOCS] Dump public static sql configurations through doc generation

SparkQA commented on issue #28274: URL: https://github.com/apache/spark/pull/28274#issuecomment-616931195 **[Test build #121559 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/121559/testReport)** for PR 28274 at commit

[GitHub] [spark] erenavsarogullari commented on issue #28208: [SPARK-31440][SQL] Improve SQL Rest API

erenavsarogullari commented on issue #28208: URL: https://github.com/apache/spark/pull/28208#issuecomment-616931030 Last build failure seems irrelivant: `org.apache.spark.sql.streaming.StreamingDeduplicationSuite.test no-data flag`

[GitHub] [spark] xwu99 commented on issue #28229: [SPARK-31454][ML] An optimized K-Means based on DenseMatrix and GEMM

xwu99 commented on issue #28229: URL: https://github.com/apache/spark/pull/28229#issuecomment-616930014 > Yeah I think we tried this and it hurt perf on sparse input, no? I'd have to dig it out.. @srowen I will benchmark sparse cases, but could we use this to deal with dense only?

[GitHub] [spark] AmplabJenkins removed a comment on issue #28224: [SPARK-31429][SQL][DOC] Automatically generates a SQL document for built-in functions

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[GitHub] [spark] xwu99 commented on issue #28229: [SPARK-31454][ML] An optimized K-Means based on DenseMatrix and GEMM

xwu99 commented on issue #28229: URL: https://github.com/apache/spark/pull/28229#issuecomment-616928515 @srowen Thanks you for linking us! > > @xwu99 Could you please provide some performance results of your PR? Our preliminary benchmark shows this approach can boost the

[GitHub] [spark] AmplabJenkins commented on issue #28224: [SPARK-31429][SQL][DOC] Automatically generates a SQL document for built-in functions

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[GitHub] [spark] SparkQA removed a comment on issue #28224: [SPARK-31429][SQL][DOC] Automatically generates a SQL document for built-in functions

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[GitHub] [spark] AmplabJenkins removed a comment on issue #28270: [SPARK-31494][ML] flatten the result dataframe of ANOVATest

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[GitHub] [spark] SparkQA commented on issue #28270: [SPARK-31494][ML] flatten the result dataframe of ANOVATest

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[GitHub] [spark] srowen commented on issue #28229: [SPARK-31454][ML] An optimized K-Means based on DenseMatrix and GEMM

srowen commented on issue #28229: URL: https://github.com/apache/spark/pull/28229#issuecomment-616926839 Yeah I think we tried this and it hurt perf on sparse input, no? I'd have to dig it out.. This is an automated message

[GitHub] [spark] AmplabJenkins commented on issue #28275: [SPARK-31501][SQL] AQE update UI should not cause deadlock

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