[jira] [Commented] (SPARK-12340) overstep the bounds of Int in SparkPlan.executeTake
[ https://issues.apache.org/jira/browse/SPARK-12340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15090436#comment-15090436 ] Apache Spark commented on SPARK-12340: -- User 'rxin' has created a pull request for this issue: https://github.com/apache/spark/pull/10670 > overstep the bounds of Int in SparkPlan.executeTake > --- > > Key: SPARK-12340 > URL: https://issues.apache.org/jira/browse/SPARK-12340 > Project: Spark > Issue Type: Bug > Components: SQL >Reporter: QiangCai >Assignee: QiangCai > Fix For: 2.0.0 > > > Reproduce > >sql e.g. select * from talbe1 where c1 = 'abc' limit 2147483638 > >n will be 2147483638 in SparkPlan.executeTake(n: Int). If the first > partition just have one row ( buf.size will be one), the result of cod e > numPartsToTry = (1.5 * n * partsScanned / buf.size).toInt will be > Int.MaxValue. Then math.min(partsScanned + numPartsToTry, totalParts) will be > Int.MinValue (-2147483648) . > Exception > java.lang.IllegalArgumentException: Attempting to access a non-existent > partition: -2147483648. Total number of partitions: 200 > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:531) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:530) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.submitJob(DAGScheduler.scala:530) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:558) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1839) > at > org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:215) > at > org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:207) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) > at > org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1904) > at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1385) > at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1315) > at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1378) > at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:178) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.process(HBaseSQLCliDriver.scala:122) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.processLine(HBaseSQLCliDriver.scala:102) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.main(HBaseSQLCliDriver.scala:80) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver.main(HBaseSQLCliDriver.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:601) > at > org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672) > at > org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) > at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-12340) overstep the bounds of Int in SparkPlan.executeTake
[ https://issues.apache.org/jira/browse/SPARK-12340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15085726#comment-15085726 ] Apache Spark commented on SPARK-12340: -- User 'QiangCai' has created a pull request for this issue: https://github.com/apache/spark/pull/10619 > overstep the bounds of Int in SparkPlan.executeTake > --- > > Key: SPARK-12340 > URL: https://issues.apache.org/jira/browse/SPARK-12340 > Project: Spark > Issue Type: Bug > Components: SQL >Reporter: QiangCai >Assignee: QiangCai > Fix For: 2.0.0 > > > Reproduce > >sql e.g. select * from talbe1 where c1 = 'abc' limit 2147483638 > >n will be 2147483638 in SparkPlan.executeTake(n: Int). If the first > partition just have one row ( buf.size will be one), the result of cod e > numPartsToTry = (1.5 * n * partsScanned / buf.size).toInt will be > Int.MaxValue. Then math.min(partsScanned + numPartsToTry, totalParts) will be > Int.MinValue (-2147483648) . > Exception > java.lang.IllegalArgumentException: Attempting to access a non-existent > partition: -2147483648. Total number of partitions: 200 > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:531) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:530) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.submitJob(DAGScheduler.scala:530) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:558) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1839) > at > org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:215) > at > org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:207) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) > at > org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1904) > at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1385) > at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1315) > at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1378) > at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:178) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.process(HBaseSQLCliDriver.scala:122) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.processLine(HBaseSQLCliDriver.scala:102) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.main(HBaseSQLCliDriver.scala:80) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver.main(HBaseSQLCliDriver.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:601) > at > org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672) > at > org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) > at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-12340) overstep the bounds of Int in SparkPlan.executeTake
[ https://issues.apache.org/jira/browse/SPARK-12340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15080435#comment-15080435 ] Apache Spark commented on SPARK-12340: -- User 'QiangCai' has created a pull request for this issue: https://github.com/apache/spark/pull/10562 > overstep the bounds of Int in SparkPlan.executeTake > --- > > Key: SPARK-12340 > URL: https://issues.apache.org/jira/browse/SPARK-12340 > Project: Spark > Issue Type: Bug > Components: SQL >Reporter: QiangCai >Assignee: Apache Spark > > Reproduce > >sql e.g. select * from talbe1 where c1 = 'abc' limit 2147483638 > >n will be 2147483638 in SparkPlan.executeTake(n: Int). If the first > partition just have one row ( buf.size will be one), the result of cod e > numPartsToTry = (1.5 * n * partsScanned / buf.size).toInt will be > Int.MaxValue. Then math.min(partsScanned + numPartsToTry, totalParts) will be > Int.MinValue (-2147483648) . > Exception > java.lang.IllegalArgumentException: Attempting to access a non-existent > partition: -2147483648. Total number of partitions: 200 > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:531) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:530) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.submitJob(DAGScheduler.scala:530) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:558) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1839) > at > org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:215) > at > org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:207) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) > at > org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1904) > at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1385) > at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1315) > at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1378) > at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:178) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.process(HBaseSQLCliDriver.scala:122) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.processLine(HBaseSQLCliDriver.scala:102) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.main(HBaseSQLCliDriver.scala:80) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver.main(HBaseSQLCliDriver.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:601) > at > org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672) > at > org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) > at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-12340) overstep the bounds of Int in SparkPlan.executeTake
[ https://issues.apache.org/jira/browse/SPARK-12340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15057994#comment-15057994 ] Sean Owen commented on SPARK-12340: --- [~QiangCai] without any info about a reproduction, I don't think this is actionable. > overstep the bounds of Int in SparkPlan.executeTake > --- > > Key: SPARK-12340 > URL: https://issues.apache.org/jira/browse/SPARK-12340 > Project: Spark > Issue Type: Bug > Components: SQL >Reporter: QiangCai > > java.lang.IllegalArgumentException: Attempting to access a non-existent > partition: -2147483648. Total number of partitions: 200 > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:531) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:530) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.submitJob(DAGScheduler.scala:530) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:558) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1839) > at > org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:215) > at > org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:207) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) > at > org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1904) > at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1385) > at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1315) > at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1378) > at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:178) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.process(HBaseSQLCliDriver.scala:122) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.processLine(HBaseSQLCliDriver.scala:102) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.main(HBaseSQLCliDriver.scala:80) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver.main(HBaseSQLCliDriver.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:601) > at > org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672) > at > org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) > at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-12340) overstep the bounds of Int in SparkPlan.executeTake
[ https://issues.apache.org/jira/browse/SPARK-12340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15058000#comment-15058000 ] Apache Spark commented on SPARK-12340: -- User 'QiangCai' has created a pull request for this issue: https://github.com/apache/spark/pull/10310 > overstep the bounds of Int in SparkPlan.executeTake > --- > > Key: SPARK-12340 > URL: https://issues.apache.org/jira/browse/SPARK-12340 > Project: Spark > Issue Type: Bug > Components: SQL >Reporter: QiangCai > > java.lang.IllegalArgumentException: Attempting to access a non-existent > partition: -2147483648. Total number of partitions: 200 > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:531) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:530) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.submitJob(DAGScheduler.scala:530) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:558) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1839) > at > org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:215) > at > org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:207) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) > at > org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1904) > at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1385) > at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1315) > at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1378) > at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:178) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.process(HBaseSQLCliDriver.scala:122) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.processLine(HBaseSQLCliDriver.scala:102) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver$.main(HBaseSQLCliDriver.scala:80) > at > org.apache.spark.sql.hbase.HBaseSQLCliDriver.main(HBaseSQLCliDriver.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:601) > at > org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672) > at > org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) > at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
