[jira] [Updated] (CARBONDATA-593) Select command seems to be not working on carbon-spark-shell . It throws a runtime error on select query after show method is invoked

[Akash R Nilugal (Jira)]

     [ https://issues.apache.org/jira/browse/CARBONDATA-593?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Divya Gupta updated CARBONDATA-593:
-----------------------------------
    Environment: Spark 1.6

> Select command seems to be not working on carbon-spark-shell . It throws a runtime error on select query after show method is invoked
> -------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: CARBONDATA-593
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-593
>             Project: CarbonData
>          Issue Type: Bug
>          Components: sql
>    Affects Versions: 1.0.0-incubating
>         Environment: Spark 1.6
>            Reporter: DEEPAK MEHRA
>            Priority: Minor
>         Attachments: employee.csv
>
>
> Select command seems to be not working on carbon-spark-shell . It throws a runtime error on select query after show method is invoked. It says
> java.io.FileNotFoundException: File does not exist: /home/hduser/software/spark-1.6.2-bin-hadoop2.6/carbon.store/mydb/demo/Fact/Part0/Segment_0
> Query Executed :
> scala> cc.sql("create table demo(id int,name string,age int,city string) stored by 'carbondata'").show
> scala> cc.sql("LOAD DATA inpath 'hdfs://hadoop-master:54311/data/employee.csv' INTO table demo");
>  cc.sql("select * from demo").show
> Result :It's throwing java.lang.RuntimeException : File Not Found
> scala> cc.sql("select * from mydb.demo").show
> INFO  04-01 16:29:22,157 - main Query [SELECT * FROM MYDB.DEMO]
> INFO  04-01 16:29:22,160 - Parsing command: select * from mydb.demo
> INFO  04-01 16:29:22,161 - Parse Completed
> INFO  04-01 16:29:22,162 - Parsing command: select * from mydb.demo
> INFO  04-01 16:29:22,163 - Parse Completed
> INFO  04-01 16:29:22,163 - 0: get_table : db=mydb tbl=demo
> INFO  04-01 16:29:22,163 - ugi=hduser ip=unknown-ip-addr cmd=get_table : db=mydb tbl=demo
> INFO  04-01 16:29:22,195 - main Starting to optimize plan
> java.io.FileNotFoundException: File does not exist: /home/hduser/software/spark-1.6.2-bin-hadoop2.6/carbon.store/mydb/demo/Fact/Part0/Segment_0
> at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1110)
> at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1102)
> at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1102)
> at org.apache.hadoop.fs.FileSystem.resolvePath(FileSystem.java:747)
> at org.apache.hadoop.hdfs.DistributedFileSystem$15.<init>(DistributedFileSystem.java:726)
> at org.apache.hadoop.hdfs.DistributedFileSystem.listLocatedStatus(DistributedFileSystem.java:717)
> at org.apache.hadoop.fs.FileSystem.listLocatedStatus(FileSystem.java:1780)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getFileStatusOfSegments(CarbonInputFormat.java:559)
> at org.apache.carbondata.hadoop.CarbonInputFormat.listStatus(CarbonInputFormat.java:519)
> at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:340)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getSplitsInternal(CarbonInputFormat.java:251)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getTableBlockInfo(CarbonInputFormat.java:372)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getSegmentAbstractIndexs(CarbonInputFormat.java:402)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getDataBlocksOfSegment(CarbonInputFormat.java:325)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getSplits(CarbonInputFormat.java:288)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getSplits(CarbonInputFormat.java:237)
> at org.apache.carbondata.spark.rdd.CarbonScanRDD.getPartitions(CarbonScanRDD.scala:82)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:190)
> at org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:165)
> at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:174)
> at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
> at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
> at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2086)
> at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$execute$1(DataFrame.scala:1498)
> at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$collect(DataFrame.scala:1505)
> at org.apache.spark.sql.DataFrame$$anonfun$head$1.apply(DataFrame.scala:1375)
> at org.apache.spark.sql.DataFrame$$anonfun$head$1.apply(DataFrame.scala:1374)
> at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2099)
> at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1374)
> at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1456)
> at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:170)
> at org.apache.spark.sql.DataFrame.show(DataFrame.scala:350)
> at org.apache.spark.sql.DataFrame.show(DataFrame.scala:311)
> at org.apache.spark.sql.DataFrame.show(DataFrame.scala:319)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:31)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:36)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:38)
> at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:40)
> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:42)
> at $iwC$$iwC$$iwC.<init>(<console>:44)
> at $iwC$$iwC.<init>(<console>:46)
> at $iwC.<init>(<console>:48)
> at <init>(<console>:50)
> at .<init>(<console>:54)
> at .<clinit>(<console>)
> at .<init>(<console>:7)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
> at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
> at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
> at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
> at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
> at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
> at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
> at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
> at org.apache.spark.repl.Main$.main(Main.scala:31)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

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