[ https://issues.apache.org/jira/browse/CARBONDATA-1786?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16264107#comment-16264107 ] Vandana Yadav commented on CARBONDATA-1786: ------------------------------------------- this bug is resolved with #PR1550 > Getting null pointer exception while loading data into table and while fetching data getting NULL values > -------------------------------------------------------------------------------------------------------- > > Key: CARBONDATA-1786 > URL: https://issues.apache.org/jira/browse/CARBONDATA-1786 > Project: CarbonData > Issue Type: Bug > Components: data-load > Affects Versions: 1.3.0 > Environment: spark 2.1 > Reporter: Vandana Yadav > Assignee: anubhav tarar > Priority: Blocker > Attachments: 2000_UniqData.csv > > Time Spent: 2h 20m > Remaining Estimate: 0h > > Getting null pointer exception while loading data into table and while fetching data getting NULL values > Steps to reproduce: > 1)Create table: > CREATE TABLE uniqdata (CUST_ID int,CUST_NAME String,ACTIVE_EMUI_VERSION string, DOB timestamp, DOJ timestamp, BIGINT_COLUMN1 bigint,BIGINT_COLUMN2 bigint,DECIMAL_COLUMN1 decimal(30,10), DECIMAL_COLUMN2 decimal(36,10),Double_COLUMN1 double, Double_COLUMN2 double,INTEGER_COLUMN1 int) STORED BY 'org.apache.carbondata.format' TBLPROPERTIES ("TABLE_BLOCKSIZE"= "256 MB"); > 2)Load Data > LOAD DATA INPATH 'hdfs://localhost:54310/Data/uniqdata/2000_UniqData.csv' into table uniqdata OPTIONS('DELIMITER'='/' , 'QUOTECHAR'='"','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'='CUST_ID,CUST_NAME,ACTIVE_EMUI_VERSION,DOB,DOJ,BIGINT_COLUMN1,BIGINT_COLUMN2,DECIMAL_COLUMN1,DECIMAL_COLUMN2,Double_COLUMN1,Double_COLUMN2,INTEGER_COLUMN1','TIMESTAMPFORMAT'='yyyy-mm-dd hh:mm:ss'); > 3) Expected result: it should load data into table successfully. > 4) Actual Result: it throws an error > Error: java.lang.NullPointerException (state=,code=0) > logs: > java.lang.NullPointerException > at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:369) > at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295) > at org.apache.carbondata.core.datastore.filesystem.AbstractDFSCarbonFile.delete(AbstractDFSCarbonFile.java:142) > at org.apache.carbondata.processing.util.DeleteLoadFolders.physicalFactAndMeasureMetadataDeletion(DeleteLoadFolders.java:79) > at org.apache.carbondata.processing.util.DeleteLoadFolders.deleteLoadFoldersFromFileSystem(DeleteLoadFolders.java:134) > at org.apache.carbondata.spark.rdd.DataManagementFunc$.deleteLoadsAndUpdateMetadata(DataManagementFunc.scala:188) > at org.apache.carbondata.spark.rdd.CarbonDataRDDFactory$.loadCarbonData(CarbonDataRDDFactory.scala:281) > at org.apache.spark.sql.execution.command.management.LoadTableCommand.loadData(LoadTableCommand.scala:347) > at org.apache.spark.sql.execution.command.management.LoadTableCommand.processData(LoadTableCommand.scala:183) > at org.apache.spark.sql.execution.command.management.LoadTableCommand.run(LoadTableCommand.scala:64) > 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$$anonfun$executeQuery$1.apply(SparkPlan.scala:135) > at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132) > at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113) > at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:87) > at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:87) > at org.apache.spark.sql.Dataset.<init>(Dataset.scala:185) > at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64) > at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:592) > at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:699) > at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:220) > at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:163) > at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:160) > 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:1698) > at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:173) > at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) > at java.util.concurrent.FutureTask.run(FutureTask.java:266) > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > 17/11/21 12:12:21 ERROR SparkExecuteStatementOperation: Error running hive query: > org.apache.hive.service.cli.HiveSQLException: java.lang.NullPointerException > at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:258) > at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:163) > at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:160) > 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:1698) > at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:173) > at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) > at java.util.concurrent.FutureTask.run(FutureTask.java:266) > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > 5) Execute query: > select * from uniqdata: > 6) Expected result: it should display zero rows as our load was not successful. > 7) Actual Result: it displays no of rows of pre-existing table with NULL values > | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | > | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | > | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | > | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | > | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | > | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | > +----------+------------+----------------------+-------+-------+-----------------+-----------------+------------------+------------------+-----------------+-----------------+------------------+--+ > 45,117 rows selected (2.222 seconds) -- This message was sent by Atlassian JIRA (v6.4.14#64029) 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