[GitHub] [spark] cloud-fan closed pull request #29423: [SPARK-20680][SQL][FOLLOW-UP] Add HiveVoidType in HiveClientImpl
cloud-fan closed pull request #29423: URL: https://github.com/apache/spark/pull/29423 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] cloud-fan commented on pull request #29423: [SPARK-20680][SQL][FOLLOW-UP] Add HiveVoidType in HiveClientImpl
cloud-fan commented on pull request #29423: URL: https://github.com/apache/spark/pull/29423#issuecomment-673921605 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 the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] maropu commented on a change in pull request #29428: [SPARK-32608][SQL] Script Transform ROW FORMAT DELIMIT value should format value
maropu commented on a change in pull request #29428: URL: https://github.com/apache/spark/pull/29428#discussion_r470442824 ## File path: sql/core/src/test/scala/org/apache/spark/sql/execution/SparkSqlParserSuite.scala ## @@ -330,4 +331,44 @@ class SparkSqlParserSuite extends AnalysisTest { assertEqual("ADD FILE /path with space/abc.txt", AddFileCommand("/path with space/abc.txt")) assertEqual("ADD JAR /path with space/abc.jar", AddJarCommand("/path with space/abc.jar")) } + + test("SPARK-32608: script transform with row format delimit") { +assertEqual( Review comment: Could you add end-2-end tests, too? 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] SparkQA commented on pull request #28939: [SPARK-32119][CORE] ExecutorPlugin doesn't work with Standalone Cluster and Kubernetes with --jars
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[GitHub] [spark] AngersZhuuuu edited a comment on pull request #29428: [SPARK-32608][SQL] Script Transform ROW FORMAT DELIMIT value should format value
AngersZh edited a comment on pull request #29428: URL: https://github.com/apache/spark/pull/29428#issuecomment-673841449 FYI @maropu @cloud-fan 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] [spark] SparkQA commented on pull request #29430: [SPARK-32609] Incorrect exchange reuse with DataSourceV2
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[GitHub] [spark] SparkQA commented on pull request #29082: [SPARK-32288][UI] Add exception summary for failed tasks in stage page
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[GitHub] [spark] cloud-fan commented on a change in pull request #28685: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function
cloud-fan commented on a change in pull request #28685: URL: https://github.com/apache/spark/pull/28685#discussion_r470436157 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowExecBase.scala ## @@ -184,6 +188,18 @@ trait WindowExecBase extends UnaryExecNode { MutableProjection.create(expressions, schema), offset) + case ("WHOLE_OFFSET", _, IntegerLiteral(offset), _) => +target: InternalRow => + new FixedOffsetWindowFunctionFrame( Review comment: nit: `PartitionBasedOffsetWindowFunctionFrame` 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] gatorsmile commented on pull request #29430: [SPARK-32609] Incorrect exchange reuse with DataSourceV2
gatorsmile commented on pull request #29430: URL: https://github.com/apache/spark/pull/29430#issuecomment-673913013 This is against 2.4. Could you also check whether the master branch still has such an issue? 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] [spark] cloud-fan commented on a change in pull request #28685: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function
cloud-fan commented on a change in pull request #28685: URL: https://github.com/apache/spark/pull/28685#discussion_r470435851 ## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala ## @@ -474,6 +479,54 @@ case class Lag(input: Expression, offset: Expression, default: Expression) override val direction = Descending } +/** + * The NthValue function returns the value of `input` at the `offset`th row of beginning + * the window partition (counting from 1). Offsets start at 1. When the value of `input` is null Review comment: We remove `(counting from 1)` as it's duplicated 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] cloud-fan commented on a change in pull request #28685: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function
cloud-fan commented on a change in pull request #28685: URL: https://github.com/apache/spark/pull/28685#discussion_r470435737 ## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala ## @@ -474,6 +479,54 @@ case class Lag(input: Expression, offset: Expression, default: Expression) override val direction = Descending } +/** + * The NthValue function returns the value of `input` at the `offset`th row of beginning Review comment: `of beginning` -> `from beginning of the window partition.` 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] gatorsmile commented on pull request #29430: [SPARK-32609] Incorrect exchange reuse with DataSourceV2
gatorsmile commented on pull request #29430: URL: https://github.com/apache/spark/pull/29430#issuecomment-673912640 ok to test 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] cloud-fan commented on a change in pull request #28685: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function
cloud-fan commented on a change in pull request #28685: URL: https://github.com/apache/spark/pull/28685#discussion_r470435293 ## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala ## @@ -363,6 +363,11 @@ abstract class OffsetWindowFunction */ val direction: SortDirection + /** + * Whether the offset is based on the entire frame. Review comment: nit ``` /** * Whether the offset is based on the entire partition. */ def isOffsetPartitionBased ... ``` 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] cloud-fan commented on a change in pull request #28685: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function
cloud-fan commented on a change in pull request #28685: URL: https://github.com/apache/spark/pull/28685#discussion_r470435293 ## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala ## @@ -363,6 +363,11 @@ abstract class OffsetWindowFunction */ val direction: SortDirection + /** + * Whether the offset is based on the entire frame. Review comment: nit ``` /** * Whether the offset is based on the entire partitions. */ def isOffsetPartitionBased ... ``` 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] gatorsmile commented on pull request #29430: [SPARK-32609] Incorrect exchange reuse with DataSourceV2
gatorsmile commented on pull request #29430: URL: https://github.com/apache/spark/pull/29430#issuecomment-673912266 CC @cloud-fan @MaxGekk 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] [spark] SparkQA commented on pull request #29429: [DO-NOT-MERGE] Verify GitHub Actions test report
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[GitHub] [spark] HyukjinKwon closed pull request #29429: [DO-NOT-MERGE] Verify GitHub Actions test report
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[GitHub] [spark] AmplabJenkins commented on pull request #29430: [SPARK-32609] Incorrect exchange reuse with DataSourceV2
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[GitHub] [spark] SparkQA removed a comment on pull request #29428: [SPARK-32608][SQL] Script Transform ROW FORMAT DELIMIT value should format value
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[GitHub] [spark] SparkQA commented on pull request #29428: [SPARK-32608][SQL] Script Transform ROW FORMAT DELIMIT value should format value
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[GitHub] [spark] HyukjinKwon commented on pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
HyukjinKwon commented on pull request #29333: URL: https://github.com/apache/spark/pull/29333#issuecomment-673906662 Okay .. I checked that it works in both PR and commit. There look a bit of delay roughly 2 ~ 5 minutes to have the test report after the main tests are finished but I think this is good enough. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] mingjialiu opened a new pull request #29430: [SPARK-32609] Incorrect exchange reuse with DataSourceV2
mingjialiu opened a new pull request #29430: URL: https://github.com/apache/spark/pull/29430 ### What changes were proposed in this pull request? Compare pushedFilters in DataSourceV2ScanExec's equals function. ### Why are the changes needed? Scans with different filters were considered equal, thus causing incorrect exchange reuse. This change fix the issue. ### Does this PR introduce _any_ user-facing change? no. ### How was this patch tested? unit test coverage and ad hoc verification. Without my change, the unit test will fail. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] [spark] SparkQA commented on pull request #28939: [SPARK-32119][CORE] ExecutorPlugin doesn't work with Standalone Cluster and Kubernetes with --jars
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[GitHub] [spark] maropu edited a comment on pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
maropu edited a comment on pull request #29333: URL: https://github.com/apache/spark/pull/29333#issuecomment-673902655 Thanks, @HyukjinKwon @cpintado ! Great work and the results became very easy to see!!! 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] sarutak edited a comment on pull request #28939: [SPARK-32119][CORE] ExecutorPlugin doesn't work with Standalone Cluster and Kubernetes with --jars
sarutak edited a comment on pull request #28939: URL: https://github.com/apache/spark/pull/28939#issuecomment-673904151 > This looks good to me - once Tom's comment is addressed. Oops, I've forgotten to remove the unused code. Thanks. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] sarutak commented on pull request #28939: [SPARK-32119][CORE] ExecutorPlugin doesn't work with Standalone Cluster and Kubernetes with --jars
sarutak commented on pull request #28939: URL: https://github.com/apache/spark/pull/28939#issuecomment-673904151 > This looks good to me - once Tom's comment is addressed. Oops, I've forgotten to remove the unused code. Thanks. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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maropu commented on pull request #29333: URL: https://github.com/apache/spark/pull/29333#issuecomment-673902655 Thanks, @HyukjinKwon @cpintado ! Great work! 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] Ngone51 commented on pull request #29413: [SPARK-32597][CORE] Tune Event Drop in Async Event Queue
Ngone51 commented on pull request #29413: URL: https://github.com/apache/spark/pull/29413#issuecomment-673901356 @itskals Ah..no. I was not saying configuring individual event sizes is easy. I was just confused about @tgravescs 's comment. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] [spark] Ngone51 commented on a change in pull request #29395: [3.0][SPARK-32518][CORE] CoarseGrainedSchedulerBackend.maxNumConcurrentTasks should consider all kinds of resources
Ngone51 commented on a change in pull request #29395: URL: https://github.com/apache/spark/pull/29395#discussion_r470420645 ## File path: core/src/main/scala/org/apache/spark/internal/config/Tests.scala ## @@ -61,4 +61,19 @@ private[spark] object Tests { .version("3.0.0") .intConf .createWithDefault(2) + + val RESOURCES_WARNING_TESTING = ConfigBuilder("spark.resources.warnings.testing") +.version("3.1.0") +.booleanConf +.createWithDefault(false) + + // This configuration is used for unit tests to allow skipping the task cpus to cores validation + // to allow emulating standalone mode behavior while running in local mode. Standalone mode + // by default doesn't specify a number of executor cores, it just uses all the ones available + // on the host. + val SKIP_VALIDATE_CORES_TESTING = + ConfigBuilder("spark.testing.skipValidateCores") +.version("3.1.0") +.booleanConf +.createWithDefault(false) Review comment: Thank you @dongjoon-hyun for letting me know. I was wondering about it previously. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] LuciferYang commented on pull request #29370: [SPARK-32526][SQL]Fix some test cases of `sql/catalyst` module in scala 2.13
LuciferYang commented on pull request #29370: URL: https://github.com/apache/spark/pull/29370#issuecomment-673893066 @srowen @HyukjinKwon I will try to give a new pr to resolve rest problems 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] gengliangwang commented on pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
gengliangwang commented on pull request #29333: URL: https://github.com/apache/spark/pull/29333#issuecomment-673892677 A late LGTM. Thanks for the great work! 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] [spark] itskals edited a comment on pull request #29413: [SPARK-32597][CORE] Tune Event Drop in Async Event Queue
itskals edited a comment on pull request #29413: URL: https://github.com/apache/spark/pull/29413#issuecomment-673878203 > Much harder? IIUC, if users have some experienced stats of the queues of the applications, I guess they could set the individual queues more accurately and we don't need such "pool" at all. @Ngone51 if configuring the event sizes was so easy, then I am fine. I am of the opinion that it is bit hard to arrive at right number, might need trial and error... Guessed, it would have been easier to configure 1 number than 3 or 4... also with some dynamism like this PR, will help... anyways thanks. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] itskals commented on pull request #29413: [SPARK-32597][CORE] Tune Event Drop in Async Event Queue
itskals commented on pull request #29413: URL: https://github.com/apache/spark/pull/29413#issuecomment-673878203 > Much harder? IIUC, if users have some experienced stats of the queues of the applications, I guess they could set the individual queues more accurately and we don't need such "pool" at all. @Ngone51 if configuring the event sizes was so easy, then I am fine. Guessed, it would have been easier to configure 1 number than 3 or 4... thanks. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] HyukjinKwon commented on pull request #29370: [SPARK-32526][SQL]Fix some test cases of `sql/catalyst` module in scala 2.13
HyukjinKwon commented on pull request #29370: URL: https://github.com/apache/spark/pull/29370#issuecomment-673875162 Nice to get this being fixed! 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] [spark] viirya commented on a change in pull request #29427: [SPARK-25557][SQL][TEST][Followup] Add case-sensitivity test for ORC predicate pushdown
viirya commented on a change in pull request #29427: URL: https://github.com/apache/spark/pull/29427#discussion_r470399287 ## File path: sql/core/v1.2/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcFilterSuite.scala ## @@ -513,5 +513,98 @@ class OrcFilterSuite extends OrcTest with SharedSparkSession { ).get.toString } } + + test("SPARK-25557: case sensitivity in predicate pushdown") { +withTempPath { dir => + val count = 10 + val tableName = "spark_25557" + val tableDir1 = dir.getAbsoluteFile + "/table1" + + // Physical ORC files have both `A` and `a` fields. + withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { +spark.range(count).repartition(count).selectExpr("id - 1 as A", "id as a") + .write.mode("overwrite").orc(tableDir1) + } + + // Metastore table has both `A` and `a` fields too. + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { + sql( +s""" + |CREATE TABLE $tableName (A LONG, a LONG) USING ORC LOCATION '$tableDir1' + """.stripMargin) + + checkAnswer(sql(s"select a, A from $tableName"), (0 until count).map(c => Row(c, c - 1))) + + val actual1 = stripSparkFilter(sql(s"select A from $tableName where A < 0")) + assert(actual1.count() == 1) + + val actual2 = stripSparkFilter(sql(s"select A from $tableName where a < 0")) + assert(actual2.count() == 0) +} + +// Exception thrown for ambiguous case. +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + val e = intercept[AnalysisException] { +sql(s"select a from $tableName where a < 0").collect() + } + assert(e.getMessage.contains( +"Reference 'a' is ambiguous")) +} + } + + // Metastore table has only `A` field. + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + sql( +s""" + |CREATE TABLE $tableName (A LONG) USING ORC LOCATION '$tableDir1' + """.stripMargin) + + val e = intercept[SparkException] { +sql(s"select A from $tableName where A < 0").collect() + } + assert(e.getCause.isInstanceOf[RuntimeException] && e.getCause.getMessage.contains( +"""Found duplicate field(s) "A": [A, a] in case-insensitive mode""")) +} + } + + // Physical ORC files have only `A` field. + val tableDir2 = dir.getAbsoluteFile + "/table2" + withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { +spark.range(count).repartition(count).selectExpr("id - 1 as A") + .write.mode("overwrite").orc(tableDir2) + } + + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + sql( +s""" + |CREATE TABLE $tableName (a LONG) USING ORC LOCATION '$tableDir2' + """.stripMargin) + + checkAnswer(sql(s"select a from $tableName"), (0 until count).map(c => Row(c - 1))) + + val actual = stripSparkFilter(sql(s"select a from $tableName where a < 0")) + // TODO: ORC predicate pushdown should work under case-insensitive analysis. + // assert(actual.count() == 1) Review comment: I use original SPARK-25557 as PR title now. If we want to backport this test to branch-3.0, should I create a new JIRA ticket for this? This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] HyukjinKwon commented on a change in pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
HyukjinKwon commented on a change in pull request #29333: URL: https://github.com/apache/spark/pull/29333#discussion_r470397420 ## File path: .github/workflows/master.yml ## @@ -170,13 +170,19 @@ jobs: # Show installed packages in R. sudo Rscript -e 'pkg_list <- as.data.frame(installed.packages()[, c(1,3:4)]); pkg_list[is.na(pkg_list$Priority), 1:2, drop = FALSE]' # Run the tests. -- name: "Run tests: ${{ matrix.modules }}" +- name: Run tests run: | # Hive tests become flaky when running in parallel as it's too intensive. if [[ "$MODULES_TO_TEST" == "hive" ]]; then export SERIAL_SBT_TESTS=1; fi mkdir -p ~/.m2 ./dev/run-tests --parallelism 2 --modules "$MODULES_TO_TEST" --included-tags "$INCLUDED_TAGS" --excluded-tags "$EXCLUDED_TAGS" rm -rf ~/.m2/repository/org/apache/spark +- name: Upload test results to report + if: always() + uses: actions/upload-artifact@v2 Review comment: Yeah, if the tests don't fail, it should upload JUnit XML files and then report the successful test cases. e.g.) 1000 tests passed 6 skipped 0 failures. GitHub Actions has things like `failure()` but I think we should run this always (to report successful cases and also failed cases). 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] viirya commented on a change in pull request #29427: [SPARK-25557][SQL][TEST][Followup] Add case-sensitivity test for ORC predicate pushdown
viirya commented on a change in pull request #29427: URL: https://github.com/apache/spark/pull/29427#discussion_r470398272 ## File path: sql/core/v1.2/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcFilterSuite.scala ## @@ -513,5 +513,98 @@ class OrcFilterSuite extends OrcTest with SharedSparkSession { ).get.toString } } + + test("SPARK-25557: case sensitivity in predicate pushdown") { +withTempPath { dir => + val count = 10 + val tableName = "spark_25557" + val tableDir1 = dir.getAbsoluteFile + "/table1" + + // Physical ORC files have both `A` and `a` fields. + withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { +spark.range(count).repartition(count).selectExpr("id - 1 as A", "id as a") + .write.mode("overwrite").orc(tableDir1) + } + + // Metastore table has both `A` and `a` fields too. + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { + sql( +s""" + |CREATE TABLE $tableName (A LONG, a LONG) USING ORC LOCATION '$tableDir1' + """.stripMargin) + + checkAnswer(sql(s"select a, A from $tableName"), (0 until count).map(c => Row(c, c - 1))) + + val actual1 = stripSparkFilter(sql(s"select A from $tableName where A < 0")) + assert(actual1.count() == 1) + + val actual2 = stripSparkFilter(sql(s"select A from $tableName where a < 0")) + assert(actual2.count() == 0) +} + +// Exception thrown for ambiguous case. +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + val e = intercept[AnalysisException] { +sql(s"select a from $tableName where a < 0").collect() + } + assert(e.getMessage.contains( +"Reference 'a' is ambiguous")) +} + } + + // Metastore table has only `A` field. + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + sql( +s""" + |CREATE TABLE $tableName (A LONG) USING ORC LOCATION '$tableDir1' + """.stripMargin) + + val e = intercept[SparkException] { +sql(s"select A from $tableName where A < 0").collect() + } + assert(e.getCause.isInstanceOf[RuntimeException] && e.getCause.getMessage.contains( +"""Found duplicate field(s) "A": [A, a] in case-insensitive mode""")) +} + } + + // Physical ORC files have only `A` field. + val tableDir2 = dir.getAbsoluteFile + "/table2" + withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { +spark.range(count).repartition(count).selectExpr("id - 1 as A") + .write.mode("overwrite").orc(tableDir2) + } + + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + sql( +s""" + |CREATE TABLE $tableName (a LONG) USING ORC LOCATION '$tableDir2' + """.stripMargin) + + checkAnswer(sql(s"select a from $tableName"), (0 until count).map(c => Row(c - 1))) + + val actual = stripSparkFilter(sql(s"select a from $tableName where a < 0")) + // TODO: ORC predicate pushdown should work under case-insensitive analysis. + // assert(actual.count() == 1) Review comment: Yes, this should be fixed in branch-3.0 too. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] HyukjinKwon commented on pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
HyukjinKwon commented on pull request #29333: URL: https://github.com/apache/spark/pull/29333#issuecomment-673870618 Also, I would like to thank @cpintado from GitHub. He virtually guided me here a lot on this. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] HyukjinKwon commented on a change in pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
HyukjinKwon commented on a change in pull request #29333: URL: https://github.com/apache/spark/pull/29333#discussion_r470397420 ## File path: .github/workflows/master.yml ## @@ -170,13 +170,19 @@ jobs: # Show installed packages in R. sudo Rscript -e 'pkg_list <- as.data.frame(installed.packages()[, c(1,3:4)]); pkg_list[is.na(pkg_list$Priority), 1:2, drop = FALSE]' # Run the tests. -- name: "Run tests: ${{ matrix.modules }}" +- name: Run tests run: | # Hive tests become flaky when running in parallel as it's too intensive. if [[ "$MODULES_TO_TEST" == "hive" ]]; then export SERIAL_SBT_TESTS=1; fi mkdir -p ~/.m2 ./dev/run-tests --parallelism 2 --modules "$MODULES_TO_TEST" --included-tags "$INCLUDED_TAGS" --excluded-tags "$EXCLUDED_TAGS" rm -rf ~/.m2/repository/org/apache/spark +- name: Upload test results to report + if: always() + uses: actions/upload-artifact@v2 Review comment: Yeah, if the tests fail, it should upload JUnit XML files and then report the failed test cases. GitHub Actions has things like `failure()` but I think we should run this always. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] HyukjinKwon commented on a change in pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
HyukjinKwon commented on a change in pull request #29333: URL: https://github.com/apache/spark/pull/29333#discussion_r470397420 ## File path: .github/workflows/master.yml ## @@ -170,13 +170,19 @@ jobs: # Show installed packages in R. sudo Rscript -e 'pkg_list <- as.data.frame(installed.packages()[, c(1,3:4)]); pkg_list[is.na(pkg_list$Priority), 1:2, drop = FALSE]' # Run the tests. -- name: "Run tests: ${{ matrix.modules }}" +- name: Run tests run: | # Hive tests become flaky when running in parallel as it's too intensive. if [[ "$MODULES_TO_TEST" == "hive" ]]; then export SERIAL_SBT_TESTS=1; fi mkdir -p ~/.m2 ./dev/run-tests --parallelism 2 --modules "$MODULES_TO_TEST" --included-tags "$INCLUDED_TAGS" --excluded-tags "$EXCLUDED_TAGS" rm -rf ~/.m2/repository/org/apache/spark +- name: Upload test results to report + if: always() + uses: actions/upload-artifact@v2 Review comment: Yeah, if the tests fail, it should upload JUnit XML files and then report the failed test cases. GitHub Actions has things like `failure()` but I think we should run this always (to report successful cases and also failed cases). 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] AmplabJenkins removed a comment on pull request #29429: [DO-NOT-MERGE] Verify GitHub Actions test report
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[GitHub] [spark] HyukjinKwon commented on pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
HyukjinKwon commented on pull request #29333: URL: https://github.com/apache/spark/pull/29333#issuecomment-673868134 Thank you all !! 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] dongjoon-hyun commented on a change in pull request #29427: [SPARK-25557][SQL][TEST][Followup] Add case-sensitivity test for ORC predicate pushdown
dongjoon-hyun commented on a change in pull request #29427: URL: https://github.com/apache/spark/pull/29427#discussion_r470396482 ## File path: sql/core/v1.2/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcFilterSuite.scala ## @@ -513,5 +513,98 @@ class OrcFilterSuite extends OrcTest with SharedSparkSession { ).get.toString } } + + test("SPARK-25557: case sensitivity in predicate pushdown") { +withTempPath { dir => + val count = 10 + val tableName = "spark_25557" + val tableDir1 = dir.getAbsoluteFile + "/table1" + + // Physical ORC files have both `A` and `a` fields. + withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { +spark.range(count).repartition(count).selectExpr("id - 1 as A", "id as a") + .write.mode("overwrite").orc(tableDir1) + } + + // Metastore table has both `A` and `a` fields too. + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { + sql( +s""" + |CREATE TABLE $tableName (A LONG, a LONG) USING ORC LOCATION '$tableDir1' + """.stripMargin) + + checkAnswer(sql(s"select a, A from $tableName"), (0 until count).map(c => Row(c, c - 1))) + + val actual1 = stripSparkFilter(sql(s"select A from $tableName where A < 0")) + assert(actual1.count() == 1) + + val actual2 = stripSparkFilter(sql(s"select A from $tableName where a < 0")) + assert(actual2.count() == 0) +} + +// Exception thrown for ambiguous case. +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + val e = intercept[AnalysisException] { +sql(s"select a from $tableName where a < 0").collect() + } + assert(e.getMessage.contains( +"Reference 'a' is ambiguous")) +} + } + + // Metastore table has only `A` field. + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + sql( +s""" + |CREATE TABLE $tableName (A LONG) USING ORC LOCATION '$tableDir1' + """.stripMargin) + + val e = intercept[SparkException] { +sql(s"select A from $tableName where A < 0").collect() + } + assert(e.getCause.isInstanceOf[RuntimeException] && e.getCause.getMessage.contains( +"""Found duplicate field(s) "A": [A, a] in case-insensitive mode""")) +} + } + + // Physical ORC files have only `A` field. + val tableDir2 = dir.getAbsoluteFile + "/table2" + withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { +spark.range(count).repartition(count).selectExpr("id - 1 as A") + .write.mode("overwrite").orc(tableDir2) + } + + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + sql( +s""" + |CREATE TABLE $tableName (a LONG) USING ORC LOCATION '$tableDir2' + """.stripMargin) + + checkAnswer(sql(s"select a from $tableName"), (0 until count).map(c => Row(c - 1))) + + val actual = stripSparkFilter(sql(s"select a from $tableName where a < 0")) + // TODO: ORC predicate pushdown should work under case-insensitive analysis. + // assert(actual.count() == 1) Review comment: Can we have this non-nested test case on `branch-3.0`, too? 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] AmplabJenkins removed a comment on pull request #28841: [SPARK-31962][SQL] Provide modifiedAfter and modifiedBefore options when filtering from a batch-based file data source
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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #29395: [3.0][SPARK-32518][CORE] CoarseGrainedSchedulerBackend.maxNumConcurrentTasks should consider all kinds of resources
dongjoon-hyun commented on a change in pull request #29395: URL: https://github.com/apache/spark/pull/29395#discussion_r470395517 ## File path: core/src/main/scala/org/apache/spark/internal/config/Tests.scala ## @@ -61,4 +61,19 @@ private[spark] object Tests { .version("3.0.0") .intConf .createWithDefault(2) + + val RESOURCES_WARNING_TESTING = ConfigBuilder("spark.resources.warnings.testing") +.version("3.1.0") Review comment: This should be `3.0.1` when it comes to `branch-3.0`, @Ngone51 . 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] dongjoon-hyun closed pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
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[GitHub] [spark] AmplabJenkins commented on pull request #29429: [DO-NOT-MERGE] Verify GitHub Actions test report
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[GitHub] [spark] SparkQA commented on pull request #28841: [SPARK-31962][SQL] Provide modifiedAfter and modifiedBefore options when filtering from a batch-based file data source
SparkQA commented on pull request #28841: URL: https://github.com/apache/spark/pull/28841#issuecomment-673868031 **[Test build #127432 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/127432/testReport)** for PR 28841 at commit [`1ee4af4`](https://github.com/apache/spark/commit/1ee4af433229baa55b3b1d3c970ef362bb2525fa). * This patch **fails to build**. * This patch merges cleanly. * This patch adds no public classes. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] viirya commented on a change in pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
viirya commented on a change in pull request #29333: URL: https://github.com/apache/spark/pull/29333#discussion_r470397100 ## File path: .github/workflows/master.yml ## @@ -170,13 +170,19 @@ jobs: # Show installed packages in R. sudo Rscript -e 'pkg_list <- as.data.frame(installed.packages()[, c(1,3:4)]); pkg_list[is.na(pkg_list$Priority), 1:2, drop = FALSE]' # Run the tests. -- name: "Run tests: ${{ matrix.modules }}" +- name: Run tests run: | # Hive tests become flaky when running in parallel as it's too intensive. if [[ "$MODULES_TO_TEST" == "hive" ]]; then export SERIAL_SBT_TESTS=1; fi mkdir -p ~/.m2 ./dev/run-tests --parallelism 2 --modules "$MODULES_TO_TEST" --included-tags "$INCLUDED_TAGS" --excluded-tags "$EXCLUDED_TAGS" rm -rf ~/.m2/repository/org/apache/spark +- name: Upload test results to report + if: always() + uses: actions/upload-artifact@v2 Review comment: If previous `Run tests` is passed without failure, do we still need run this? I remember Github Actions has some conditions other than `always()` can be used? This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] HyukjinKwon commented on a change in pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
HyukjinKwon commented on a change in pull request #29333: URL: https://github.com/apache/spark/pull/29333#discussion_r470397420 ## File path: .github/workflows/master.yml ## @@ -170,13 +170,19 @@ jobs: # Show installed packages in R. sudo Rscript -e 'pkg_list <- as.data.frame(installed.packages()[, c(1,3:4)]); pkg_list[is.na(pkg_list$Priority), 1:2, drop = FALSE]' # Run the tests. -- name: "Run tests: ${{ matrix.modules }}" +- name: Run tests run: | # Hive tests become flaky when running in parallel as it's too intensive. if [[ "$MODULES_TO_TEST" == "hive" ]]; then export SERIAL_SBT_TESTS=1; fi mkdir -p ~/.m2 ./dev/run-tests --parallelism 2 --modules "$MODULES_TO_TEST" --included-tags "$INCLUDED_TAGS" --excluded-tags "$EXCLUDED_TAGS" rm -rf ~/.m2/repository/org/apache/spark +- name: Upload test results to report + if: always() + uses: actions/upload-artifact@v2 Review comment: Yeah, if the tests file, it should upload JUnit XML files and then report the failed test cases. GitHub Actions has things like `failure()` but I think we should run this always. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] SparkQA removed a comment on pull request #28841: [SPARK-31962][SQL] Provide modifiedAfter and modifiedBefore options when filtering from a batch-based file data source
SparkQA removed a comment on pull request #28841: URL: https://github.com/apache/spark/pull/28841#issuecomment-673865344 **[Test build #127432 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/127432/testReport)** for PR 28841 at commit [`1ee4af4`](https://github.com/apache/spark/commit/1ee4af433229baa55b3b1d3c970ef362bb2525fa). 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] AmplabJenkins commented on pull request #28841: [SPARK-31962][SQL] Provide modifiedAfter and modifiedBefore options when filtering from a batch-based file data source
AmplabJenkins commented on pull request #28841: URL: https://github.com/apache/spark/pull/28841#issuecomment-673868046 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] HyukjinKwon commented on pull request #29333: [SPARK-32357][INFRA] Publish failed and succeeded test reports in GitHub Actions
HyukjinKwon commented on pull request #29333: URL: https://github.com/apache/spark/pull/29333#issuecomment-673869619 I opened a PR to verify if this works well in the main commit (https://github.com/apache/spark/commit/5debde94019d46d4ab66f7927d9e5e8c4d16a7ec) and the PR (https://github.com/apache/spark/pull/29429). 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] HyukjinKwon opened a new pull request #29429: [DO-NOT-MERGE] Verify GitHub Actions test report
HyukjinKwon opened a new pull request #29429: URL: https://github.com/apache/spark/pull/29429 ### What changes were proposed in this pull request? This PR is to trigger the test report at https://github.com/apache/spark/pull/29333. ### Why are the changes needed? N/A ### Does this PR introduce _any_ user-facing change? N/A ### How was this patch tested? N/A 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] Karl-WangSK commented on pull request #29360: [SPARK-32542][SQL] Add an optimizer rule to split an Expand into multiple Expands for aggregates
Karl-WangSK commented on pull request #29360: URL: https://github.com/apache/spark/pull/29360#issuecomment-673868646 yes.The shuffle output is the same, because the size of the data is the same. As you can see the benchmark: cube 7 fields k1, k2, k3, k4, k5, k6, k7(128x projections) and cube 6 fields k1, k2, k3, k4, k5, k6(64x projections) with grouping off data size is double ,but the time ,one is 2.4min ,the another one is 8.7min, not just double time .It will be affected by data size Especially when the memory is limited. The original data I created is about 20M, executor memory is 1g. when it expands to 64x or 128x. It will have big impact on shuffle performance. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] SparkQA commented on pull request #29429: [DO-NOT-MERGE] Verify GitHub Actions test report
SparkQA commented on pull request #29429: URL: https://github.com/apache/spark/pull/29429#issuecomment-673870087 **[Test build #127433 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/127433/testReport)** for PR 29429 at commit [`c356076`](https://github.com/apache/spark/commit/c356076a0b761e9e8f598fe8468eca5191b7bad6). 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] dongjoon-hyun commented on a change in pull request #29395: [3.0][SPARK-32518][CORE] CoarseGrainedSchedulerBackend.maxNumConcurrentTasks should consider all kinds of resources
dongjoon-hyun commented on a change in pull request #29395: URL: https://github.com/apache/spark/pull/29395#discussion_r470395606 ## File path: core/src/main/scala/org/apache/spark/internal/config/Tests.scala ## @@ -61,4 +61,19 @@ private[spark] object Tests { .version("3.0.0") .intConf .createWithDefault(2) + + val RESOURCES_WARNING_TESTING = ConfigBuilder("spark.resources.warnings.testing") +.version("3.1.0") +.booleanConf +.createWithDefault(false) + + // This configuration is used for unit tests to allow skipping the task cpus to cores validation + // to allow emulating standalone mode behavior while running in local mode. Standalone mode + // by default doesn't specify a number of executor cores, it just uses all the ones available + // on the host. + val SKIP_VALIDATE_CORES_TESTING = + ConfigBuilder("spark.testing.skipValidateCores") +.version("3.1.0") +.booleanConf +.createWithDefault(false) Review comment: ditto. This should be `3.0.1` when it comes to `branch-3.0`, @Ngone51 . Also, after merging this, please update `master` branch consistently. 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] dongjoon-hyun commented on pull request #28904: [SPARK-30462][SS] Streamline the logic on file stream source and sink metadata log to avoid memory issue
dongjoon-hyun commented on pull request #28904: URL: https://github.com/apache/spark/pull/28904#issuecomment-673870133 Sure. Have a nice vacation and take care, @HeartSaVioR . 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] dongjoon-hyun commented on a change in pull request #29427: [SPARK-25557][SQL][TEST][Followup] Add case-sensitivity test for ORC predicate pushdown
dongjoon-hyun commented on a change in pull request #29427: URL: https://github.com/apache/spark/pull/29427#discussion_r470396482 ## File path: sql/core/v1.2/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcFilterSuite.scala ## @@ -513,5 +513,98 @@ class OrcFilterSuite extends OrcTest with SharedSparkSession { ).get.toString } } + + test("SPARK-25557: case sensitivity in predicate pushdown") { +withTempPath { dir => + val count = 10 + val tableName = "spark_25557" + val tableDir1 = dir.getAbsoluteFile + "/table1" + + // Physical ORC files have both `A` and `a` fields. + withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { +spark.range(count).repartition(count).selectExpr("id - 1 as A", "id as a") + .write.mode("overwrite").orc(tableDir1) + } + + // Metastore table has both `A` and `a` fields too. + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { + sql( +s""" + |CREATE TABLE $tableName (A LONG, a LONG) USING ORC LOCATION '$tableDir1' + """.stripMargin) + + checkAnswer(sql(s"select a, A from $tableName"), (0 until count).map(c => Row(c, c - 1))) + + val actual1 = stripSparkFilter(sql(s"select A from $tableName where A < 0")) + assert(actual1.count() == 1) + + val actual2 = stripSparkFilter(sql(s"select A from $tableName where a < 0")) + assert(actual2.count() == 0) +} + +// Exception thrown for ambiguous case. +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + val e = intercept[AnalysisException] { +sql(s"select a from $tableName where a < 0").collect() + } + assert(e.getMessage.contains( +"Reference 'a' is ambiguous")) +} + } + + // Metastore table has only `A` field. + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + sql( +s""" + |CREATE TABLE $tableName (A LONG) USING ORC LOCATION '$tableDir1' + """.stripMargin) + + val e = intercept[SparkException] { +sql(s"select A from $tableName where A < 0").collect() + } + assert(e.getCause.isInstanceOf[RuntimeException] && e.getCause.getMessage.contains( +"""Found duplicate field(s) "A": [A, a] in case-insensitive mode""")) +} + } + + // Physical ORC files have only `A` field. + val tableDir2 = dir.getAbsoluteFile + "/table2" + withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") { +spark.range(count).repartition(count).selectExpr("id - 1 as A") + .write.mode("overwrite").orc(tableDir2) + } + + withTable(tableName) { +withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") { + sql( +s""" + |CREATE TABLE $tableName (a LONG) USING ORC LOCATION '$tableDir2' + """.stripMargin) + + checkAnswer(sql(s"select a from $tableName"), (0 until count).map(c => Row(c - 1))) + + val actual = stripSparkFilter(sql(s"select a from $tableName where a < 0")) + // TODO: ORC predicate pushdown should work under case-insensitive analysis. + // assert(actual.count() == 1) Review comment: Can we have this case on `branch-3.0`, too? 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] AmplabJenkins commented on pull request #28841: [SPARK-31962][SQL] Provide modifiedAfter and modifiedBefore options when filtering from a batch-based file data source
AmplabJenkins commented on pull request #28841: URL: https://github.com/apache/spark/pull/28841#issuecomment-673865720 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org