[GitHub] [spark] gengliangwang commented on pull request #33180: [SPARK-35825][INFRA][FOLLOWUP] Increase it in build/mvn script

2021-07-01 Thread GitBox
gengliangwang commented on pull request #33180: URL: https://github.com/apache/spark/pull/33180#issuecomment-872738426 @dongjoon-hyun @LuciferYang Awesome, hopefully the issue is resolved this time. -- This is an automated message from the Apache Git Service. To respond to the message,

[GitHub] [spark] xuanyuanking commented on a change in pull request #32933: [SPARK-35785][SS] Cleanup support for RocksDB instance

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xuanyuanking commented on a change in pull request #32933: URL: https://github.com/apache/spark/pull/32933#discussion_r662755860 ## File path: sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala ## @@ -207,6 +273,133 @@ class RocksDBSuite

[GitHub] [spark] LuciferYang commented on pull request #33180: [SPARK-35825][INFRA][FOLLOWUP] Increase it in build/mvn script

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LuciferYang commented on pull request #33180: URL: https://github.com/apache/spark/pull/33180#issuecomment-872737709 Yes, the `catalyst` module often has this problem -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use

[GitHub] [spark] dongjoon-hyun edited a comment on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1

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dongjoon-hyun edited a comment on pull request #30135: URL: https://github.com/apache/spark/pull/30135#issuecomment-872736822 Oh, if you are using ORC, please try to bring SPARK-35783. It's irrelevant to this Hadoop topic, but it helps you reduce the traffic. -

[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1

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dongjoon-hyun commented on pull request #30135: URL: https://github.com/apache/spark/pull/30135#issuecomment-872736822 Oh, if you are using ORC, please try to bring SPARK-35783. It's irrelevant to Hadoop, but it helps you reduce the traffic. - https://github.com/apache/spark/pull/32923

[GitHub] [spark] cloud-fan commented on a change in pull request #33140: [SPARK-35881][SQL] Add support for columnar execution of final query stage in AdaptiveSparkPlanExec

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cloud-fan commented on a change in pull request #33140: URL: https://github.com/apache/spark/pull/33140#discussion_r662754669 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala ## @@ -122,7 +123,8 @@ case class

[GitHub] [spark] viirya commented on a change in pull request #32933: [SPARK-35785][SS] Cleanup support for RocksDB instance

2021-07-01 Thread GitBox
viirya commented on a change in pull request #32933: URL: https://github.com/apache/spark/pull/32933#discussion_r662754308 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala ## @@ -253,6 +253,13 @@ class RocksDB(

[GitHub] [spark] xuanyuanking commented on a change in pull request #32933: [SPARK-35785][SS] Cleanup support for RocksDB instance

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xuanyuanking commented on a change in pull request #32933: URL: https://github.com/apache/spark/pull/32933#discussion_r662753878 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala ## @@ -253,6 +253,13 @@ class RocksDB(

[GitHub] [spark] viirya commented on pull request #29326: [WIP][SPARK-32502][BUILD] Upgrade Guava to 27.0-jre

2021-07-01 Thread GitBox
viirya commented on pull request #29326: URL: https://github.com/apache/spark/pull/29326#issuecomment-872735918 Hmm, from the failed tests below: org.apache.spark.sql.hive.DataSourceWithHiveMetastoreCatalogSuite org.apache.spark.sql.hive.HiveExternalCatalogSuite

[GitHub] [spark] dongjoon-hyun commented on pull request #33180: [SPARK-35825][INFRA][FOLLOWUP] Increase it in build/mvn script

2021-07-01 Thread GitBox
dongjoon-hyun commented on pull request #33180: URL: https://github.com/apache/spark/pull/33180#issuecomment-872735624 Oh! Thank you for sharing that, @LuciferYang . Ya, I saw this on `catalyst` mostly. -- This is an automated message from the Apache Git Service. To respond to the

[GitHub] [spark] LuciferYang commented on pull request #33180: [SPARK-35825][INFRA][FOLLOWUP] Increase it in build/mvn script

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LuciferYang commented on pull request #33180: URL: https://github.com/apache/spark/pull/33180#issuecomment-872735039 @dongjoon-hyun @gengliangwang It seems to work, I have compile and test catalyst and related modules for many times in my compilation environment, no `StackOverflowError`

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[GitHub] [spark] arghya18 commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1

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arghya18 commented on pull request #30135: URL: https://github.com/apache/spark/pull/30135#issuecomment-872730959 @dongjoon-hyun Thanks.. I am testing more jobs for further statistics. BDW I am testing this on ORC. -- This is an automated message from the Apache Git Service. To respond

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[GitHub] [spark] dongjoon-hyun commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1

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dongjoon-hyun commented on pull request #30135: URL: https://github.com/apache/spark/pull/30135#issuecomment-872729358 Thank you for sharing, @arghya18 . It's interesting. The read statistic increase is also observed in my environment, but TPCDS 1TB on S3 parquet performance was faster

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[GitHub] [spark] gengliangwang commented on a change in pull request #33164: [SPARK-35958][CORE] Refactor SparkError.scala to SparkThrowable.java

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gengliangwang commented on a change in pull request #33164: URL: https://github.com/apache/spark/pull/33164#discussion_r662746235 ## File path: core/src/main/java/org/apache/spark/memory/SparkOutOfMemoryError.java ## @@ -14,8 +14,11 @@ * See the License for the specific

[GitHub] [spark] cloud-fan commented on a change in pull request #33164: [SPARK-35958][CORE] Refactor SparkError.scala to SparkThrowable.java

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cloud-fan commented on a change in pull request #33164: URL: https://github.com/apache/spark/pull/33164#discussion_r662745025 ## File path: core/src/main/resources/error/error-classes.json ## @@ -15,6 +15,10 @@ "message" : [ "The second argument of '%s' function needs to

[GitHub] [spark] cloud-fan commented on a change in pull request #33164: [SPARK-35958][CORE] Refactor SparkError.scala to SparkThrowable.java

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cloud-fan commented on a change in pull request #33164: URL: https://github.com/apache/spark/pull/33164#discussion_r662744867 ## File path: core/src/main/java/org/apache/spark/SparkThrowable.java ## @@ -0,0 +1,38 @@ +/* + * Licensed to the Apache Software Foundation (ASF)

[GitHub] [spark] dongjoon-hyun closed pull request #33180: [SPARK-35825][INFRA][FOLLOWUP] Increase it in build/mvn script

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dongjoon-hyun closed pull request #33180: URL: https://github.com/apache/spark/pull/33180 -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail:

[GitHub] [spark] dongjoon-hyun commented on pull request #33180: [SPARK-35825][INFRA][FOLLOWUP][test-maven] Increase it in build/mvn script

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dongjoon-hyun commented on pull request #33180: URL: https://github.com/apache/spark/pull/33180#issuecomment-872724889 I'll merge this. Please let us know your result when you have some time, @LuciferYang ~ -- This is an automated message from the Apache Git Service. To respond to the

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[GitHub] [spark] dongjoon-hyun commented on pull request #33180: [SPARK-35825][INFRA][FOLLOWUP][test-maven] Increase it in build/mvn script

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dongjoon-hyun commented on pull request #33180: URL: https://github.com/apache/spark/pull/33180#issuecomment-872723431 Since this is a flaky compilation issue, the above two Maven runs might be insufficient for verification. However, I believe this patch is no harm for the build and only

[GitHub] [spark] dongjoon-hyun commented on pull request #33180: [SPARK-35825][INFRA][FOLLOWUP][test-maven] Increase it in build/mvn script

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dongjoon-hyun commented on pull request #33180: URL: https://github.com/apache/spark/pull/33180#issuecomment-872722372 The above Maven run actually passed the compilation on `catalyst` and `sql` which we see the StackOverflowError frequently. Only fails with the following. It seems to be

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[GitHub] [spark] gengliangwang commented on pull request #33177: [SPARK-35955][SQL] Check for overflow in Average in ANSI mode

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gengliangwang commented on pull request #33177: URL: https://github.com/apache/spark/pull/33177#issuecomment-872708153 Thanks, merging to master -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to

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[GitHub] [spark] SparkQA commented on pull request #33140: [SPARK-35881][SQL] Add support for columnar execution of final query stage in AdaptiveSparkPlanExec

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[GitHub] [spark] SparkQA commented on pull request #33182: [SPARK-35984][SQL] Config to force applying shuffled hash join

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[GitHub] [spark] SparkQA commented on pull request #33172: [SPARK-35968][SQL] Make sure partitions are not too small in AQE partition coalescing

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[GitHub] [spark] sunchao commented on pull request #33160: [SPARK-35959][BUILD][test-maven][test-hadoop3.2][test-java11] Add a new Maven profile "no-shaded-hadoop-client" for Hadoop versions older tha

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sunchao commented on pull request #33160: URL: https://github.com/apache/spark/pull/33160#issuecomment-872703193 That's unfortunate... maybe for testing purpose I'll just change Hadoop version directly in the `pom.xml` to work around the sbt + maven property issue. -- This is an

[GitHub] [spark] arghya18 edited a comment on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1

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arghya18 edited a comment on pull request #30135: URL: https://github.com/apache/spark/pull/30135#issuecomment-872701489 @dongjoon-hyun @steveloughran I was able to test my use case with Hadoop 3.3.1 and posted the result

[GitHub] [spark] arghya18 commented on pull request #30135: [SPARK-29250][BUILD] Upgrade to Hadoop 3.3.1

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arghya18 commented on pull request #30135: URL: https://github.com/apache/spark/pull/30135#issuecomment-872701489 @dongjoon-hyun I was able to test my use case with Hadoop 3.3.1 and posted the result

[GitHub] [spark] ulysses-you commented on a change in pull request #32816: [SPARK-33832][SQL] Support optimize skewed join even if introduce extra shuffle

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ulysses-you commented on a change in pull request #32816: URL: https://github.com/apache/spark/pull/32816#discussion_r662725098 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala ## @@ -252,17 +275,26 @@ case class

[GitHub] [spark] gengliangwang commented on pull request #33180: [SPARK-35825][INFRA][FOLLOWUP][test-maven] Increase it in build/mvn script

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gengliangwang commented on pull request #33180: URL: https://github.com/apache/spark/pull/33180#issuecomment-872698339 LGTM. @LuciferYang what is the local test result? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use

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[GitHub] [spark] gengliangwang closed pull request #33093: [SPARK-35897][SS] Support user defined initial state with flatMapGroupsWithState in Structured Streaming

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[GitHub] [spark] linhongliu-db opened a new pull request #33182: [SPARK-35984][SQL] Config to force applying shuffled hash join

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linhongliu-db opened a new pull request #33182: URL: https://github.com/apache/spark/pull/33182 ### What changes were proposed in this pull request? Add a config `spark.sql.join.forceApplyShuffledHashJoin` to force applying shuffled hash join during the join selection. ###

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