[
https://issues.apache.org/jira/browse/CARBONDATA-1619?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
wyp resolved CARBONDATA-1619.
-----------------------------
Resolution: Duplicate
Fix Version/s: 1.3.0
> Loading data to a carbondata table with overwrite=true many times will cause
> NullPointerException
> -------------------------------------------------------------------------------------------------
>
> Key: CARBONDATA-1619
> URL: https://issues.apache.org/jira/browse/CARBONDATA-1619
> Project: CarbonData
> Issue Type: Bug
> Components: sql
> Affects Versions: 1.2.0
> Reporter: wyp
> Fix For: 1.3.0
>
>
> If you loading data to a carbondata table with {{overwrite=true}} many times
> will cause {{NullPointerException}}. The following is the code snippet:
> {code}
> Welcome to
> ____ __
> / __/__ ___ _____/ /__
> _\ \/ _ \/ _ `/ __/ '_/
> /___/ .__/\_,_/_/ /_/\_\ version 2.1.0
> /_/
>
> Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_77)
> Type in expressions to have them evaluated.
> Type :help for more information.
> scala> import org.apache.spark.sql.SparkSession
> import org.apache.spark.sql.SparkSession
> scala> import org.apache.spark.sql.CarbonSession._
> import org.apache.spark.sql.CarbonSession._
> scala> val carbon =
> SparkSession.builder().config(sc.getConf).getOrCreateCarbonSession("hdfs://mycluster/user/wyp/carb")
> 17/10/26 12:58:25 WARN spark.SparkContext: Using an existing SparkContext;
> some configuration may not take effect.
> 17/10/26 12:58:25 WARN util.CarbonProperties: main The custom block
> distribution value "null" is invalid. Using the default value "false
> 17/10/26 12:58:25 WARN util.CarbonProperties: main The enable vector reader
> value "null" is invalid. Using the default value "true
> 17/10/26 12:58:25 WARN util.CarbonProperties: main The value "LOCALLOCK"
> configured for key carbon.lock.type is invalid for current file system. Use
> the default value HDFSLOCK instead.
> 17/10/26 12:58:43 WARN metastore.ObjectStore: Failed to get database
> global_temp, returning NoSuchObjectException
> carbon: org.apache.spark.sql.SparkSession =
> org.apache.spark.sql.CarbonSession@718b9d56
> scala> carbon.sql("CREATE TABLE temp.my_table(id bigint) STORED BY
> 'carbondata'")
> 17/10/26 12:59:03 AUDIT command.CreateTable:
> [l-sparkcluster1.test.com][wyp][Thread-1]Creating Table with Database name
> [temp] and Table name [my_table]
> 17/10/26 12:59:03 WARN hive.HiveExternalCatalog: Couldn't find corresponding
> Hive SerDe for data source provider org.apache.spark.sql.CarbonSource.
> Persisting data source table `temp`.`my_table` into Hive metastore in Spark
> SQL specific format, which is NOT compatible with Hive.
> 17/10/26 12:59:03 AUDIT command.CreateTable:
> [l-sparkcluster1.test.com][wyp][Thread-1]Table created with Database name
> [temp] and Table name [my_table]
> res0: org.apache.spark.sql.DataFrame = []
> scala> carbon.sql("insert overwrite table temp.my_table select id from
> co.order_common_p where dt = '2010-10'")
> 17/10/26 12:59:23 AUDIT rdd.CarbonDataRDDFactory$:
> [l-sparkcluster1.test.com][wyp][Thread-1]Data load request has been received
> for table temp.my_table
> 17/10/26 12:59:23 WARN util.CarbonDataProcessorUtil: main sort scope is set
> to LOCAL_SORT
> 17/10/26 12:59:26 AUDIT rdd.CarbonDataRDDFactory$:
> [l-sparkcluster1.test.com][wyp][Thread-1]Data load is successful for
> temp.my_table
> res1: org.apache.spark.sql.DataFrame = []
> scala> carbon.sql("insert overwrite table temp.my_table select id from
> co.order_common_p where dt = '2010-10'")
> 17/10/26 12:59:33 AUDIT rdd.CarbonDataRDDFactory$:
> [l-sparkcluster1.test.com][wyp][Thread-1]Data load request has been received
> for table temp.my_table
> 17/10/26 12:59:33 WARN util.CarbonDataProcessorUtil: main sort scope is set
> to LOCAL_SORT
> 17/10/26 12:59:52 AUDIT rdd.CarbonDataRDDFactory$:
> [l-sparkcluster1.test.com][wyp][Thread-1]Data load is successful for
> temp.my_table
> res2: org.apache.spark.sql.DataFrame = []
> scala> carbon.sql("insert overwrite table temp.my_table select id from
> co.order_common_p where dt = '2012-10'")
> 17/10/26 13:00:05 AUDIT rdd.CarbonDataRDDFactory$:
> [l-sparkcluster1.test.com][wyp][Thread-1]Data load request has been received
> for table temp.my_table
> 17/10/26 13:00:05 WARN util.CarbonDataProcessorUtil: main sort scope is set
> to LOCAL_SORT
> 17/10/26 13:00:08 ERROR filesystem.AbstractDFSCarbonFile: main Exception
> occurred:File does not exist:
> hdfs://mycluster/user/wyp/carb/temp/my_table/Fact/Part0/Segment_0
> 17/10/26 13:00:09 ERROR command.LoadTable: main
> java.lang.NullPointerException
> at
> org.apache.carbondata.core.datastore.filesystem.AbstractDFSCarbonFile.isDirectory(AbstractDFSCarbonFile.java:88)
> at
> org.apache.carbondata.core.util.CarbonUtil.deleteRecursive(CarbonUtil.java:364)
> at org.apache.carbondata.core.util.CarbonUtil.access$100(CarbonUtil.java:93)
> at org.apache.carbondata.core.util.CarbonUtil$2.run(CarbonUtil.java:326)
> at org.apache.carbondata.core.util.CarbonUtil$2.run(CarbonUtil.java:322)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
> at
> org.apache.carbondata.core.util.CarbonUtil.deleteFoldersAndFiles(CarbonUtil.java:322)
> at
> org.apache.carbondata.spark.load.CarbonLoaderUtil.recordLoadMetadata(CarbonLoaderUtil.java:333)
> at
> org.apache.carbondata.spark.rdd.CarbonDataRDDFactory$.updateStatus$1(CarbonDataRDDFactory.scala:595)
> at
> org.apache.carbondata.spark.rdd.CarbonDataRDDFactory$.loadCarbonData(CarbonDataRDDFactory.scala:1107)
> at
> org.apache.spark.sql.execution.command.LoadTable.processData(carbonTableSchema.scala:1046)
> at
> org.apache.spark.sql.execution.command.LoadTable.run(carbonTableSchema.scala:754)
> at
> org.apache.spark.sql.execution.command.LoadTableByInsert.processData(carbonTableSchema.scala:651)
> at
> org.apache.spark.sql.execution.command.LoadTableByInsert.run(carbonTableSchema.scala:637)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:87)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:87)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:185)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:592)
> at
> $line20.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:31)
> at $line20.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:36)
> at $line20.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:38)
> at $line20.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:40)
> at $line20.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:42)
> at $line20.$read$$iw$$iw$$iw$$iw$$iw.<init>(<console>:44)
> at $line20.$read$$iw$$iw$$iw$$iw.<init>(<console>:46)
> at $line20.$read$$iw$$iw$$iw.<init>(<console>:48)
> at $line20.$read$$iw$$iw.<init>(<console>:50)
> at $line20.$read$$iw.<init>(<console>:52)
> at $line20.$read.<init>(<console>:54)
> at $line20.$read$.<init>(<console>:58)
> at $line20.$read$.<clinit>(<console>)
> at $line20.$eval$.$print$lzycompute(<console>:7)
> at $line20.$eval$.$print(<console>:6)
> at $line20.$eval.$print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)
> at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637)
> at
> scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
> at
> scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
> at
> scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565)
> at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:807)
> at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:681)
> at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395)
> at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:415)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:923)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
> at
> scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)
> at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)
> at org.apache.spark.repl.Main$.doMain(Main.scala:68)
> at org.apache.spark.repl.Main$.main(Main.scala:51)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:738)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 17/10/26 13:00:09 AUDIT command.LoadTable:
> [l-sparkcluster1.test.com][wyp][Thread-1]Dataload failure for temp.my_table.
> Please check the logs
> java.lang.NullPointerException
> at
> org.apache.carbondata.core.datastore.filesystem.AbstractDFSCarbonFile.isDirectory(AbstractDFSCarbonFile.java:88)
> at
> org.apache.carbondata.core.util.CarbonUtil.deleteRecursive(CarbonUtil.java:364)
> at org.apache.carbondata.core.util.CarbonUtil.access$100(CarbonUtil.java:93)
> at org.apache.carbondata.core.util.CarbonUtil$2.run(CarbonUtil.java:326)
> at org.apache.carbondata.core.util.CarbonUtil$2.run(CarbonUtil.java:322)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
> at
> org.apache.carbondata.core.util.CarbonUtil.deleteFoldersAndFiles(CarbonUtil.java:322)
> at
> org.apache.carbondata.spark.load.CarbonLoaderUtil.recordLoadMetadata(CarbonLoaderUtil.java:333)
> at
> org.apache.carbondata.spark.rdd.CarbonDataRDDFactory$.updateStatus$1(CarbonDataRDDFactory.scala:595)
> at
> org.apache.carbondata.spark.rdd.CarbonDataRDDFactory$.loadCarbonData(CarbonDataRDDFactory.scala:1107)
> at
> org.apache.spark.sql.execution.command.LoadTable.processData(carbonTableSchema.scala:1046)
> at
> org.apache.spark.sql.execution.command.LoadTable.run(carbonTableSchema.scala:754)
> at
> org.apache.spark.sql.execution.command.LoadTableByInsert.processData(carbonTableSchema.scala:651)
> at
> org.apache.spark.sql.execution.command.LoadTableByInsert.run(carbonTableSchema.scala:637)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:87)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:87)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:185)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:592)
> ... 50 elided
> scala>
> {code}
> As you see, if you run {{insert overwrite table xxxx}} sql greater than or
> equal to three times, then you will get {{java.lang.NullPointerException}}.
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