[ https://issues.apache.org/jira/browse/CARBONDATA-3845?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Chetan Bhat closed CARBONDATA-3845. ----------------------------------- Issue fixed in Carbon 2.1 version. > Bucket table creation fails with exception for empty BUCKET_NUMBER and > BUCKET_COLUMNS > ------------------------------------------------------------------------------------- > > Key: CARBONDATA-3845 > URL: https://issues.apache.org/jira/browse/CARBONDATA-3845 > Project: CarbonData > Issue Type: Bug > Components: data-query > Affects Versions: 2.0.0 > Environment: Spark 2.3.2 > Reporter: Chetan Bhat > Priority: Minor > Fix For: 2.1.0 > > Time Spent: 4h > Remaining Estimate: 0h > > *Steps and Issue-* > 0: jdbc:hive2://10.20.251.163:23040/default> create table if not exists > all_data_types1(bool_1 boolean,bool_2 boolean,chinese string,Number > int,smallNumber smallint,BigNumber bigint,LargeDecimal double,smalldecimal > float,customdecimal decimal(38,15),words string,smallwords char(8),varwords > varchar(20),time timestamp,day date,emptyNumber int,emptysmallNumber > smallint,emptyBigNumber bigint,emptyLargeDecimal double,emptysmalldecimal > float,emptycustomdecimal decimal(38,38),emptywords string,emptysmallwords > char(8),emptyvarwords varchar(20)) stored as carbondata TBLPROPERTIES > (*'BUCKET_NUMBER'='', 'BUCKET_COLUMNS'=''*); > *Error: java.lang.NumberFormatException: For input string: "" > (state=,code=0)* > Same issue present if bucket_number is empty. > 0: jdbc:hive2://10.20.251.163:23040/default> create table if not exists > all_data_types1(bool_1 boolean,bool_2 boolean,chinese string,Number > int,smallNumber smallint,BigNumber bigint,LargeDecimal double,smalldecimal > float,customdecimal decimal(38,15),words string,smallwords char(8),varwords > varchar(20),time timestamp,day date,emptyNumber int,emptysmallNumber > smallint,emptyBigNumber bigint,emptyLargeDecimal double,emptysmalldecimal > float,emptycustomdecimal decimal(38,38),emptywords string,emptysmallwords > char(8),emptyvarwords varchar(20)) stored as carbondata TBLPROPERTIES > (*'BUCKET_NUMBER'=''*, 'BUCKET_COLUMNS'='test'); > *Error: java.lang.NumberFormatException: For input string: "" > (state=,code=0)* > *Log-* > 2020-06-05 01:52:32,633 | ERROR | [HiveServer2-Background-Pool: Thread-102] | > Error executing query, currentState RUNNING, | > org.apache.spark.internal.Logging$class.logError(Logging.scala:91)2020-06-05 > 01:52:32,633 | ERROR | [HiveServer2-Background-Pool: Thread-102] | Error > executing query, currentState RUNNING, | > org.apache.spark.internal.Logging$class.logError(Logging.scala:91)java.lang.NumberFormatException: > For input string: "" at > java.lang.NumberFormatException.forInputString(NumberFormatException.java:65) > at java.lang.Integer.parseInt(Integer.java:592) at > java.lang.Integer.parseInt(Integer.java:615) at > scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272) at > scala.collection.immutable.StringOps.toInt(StringOps.scala:29) at > org.apache.carbondata.spark.CarbonOption.bucketNumber$lzycompute(CarbonOption.scala:61) > at > org.apache.carbondata.spark.CarbonOption.bucketNumber(CarbonOption.scala:61) > at > org.apache.spark.sql.parser.CarbonSpark2SqlParser.getBucketFields(CarbonSpark2SqlParser.scala:765) > at > org.apache.spark.sql.parser.CarbonSparkSqlParserUtil$.buildTableInfoFromCatalogTable(CarbonSparkSqlParserUtil.scala:382) > at > org.apache.spark.sql.CarbonSource$.createTableInfo(CarbonSource.scala:235) at > org.apache.spark.sql.CarbonSource$.createTableMeta(CarbonSource.scala:382) at > org.apache.spark.sql.execution.command.table.CarbonCreateDataSourceTableCommand.processMetadata(CarbonCreateDataSourceTableCommand.scala:69) > at > org.apache.spark.sql.execution.command.MetadataCommand$$anonfun$run$1.apply(package.scala:123) > at > org.apache.spark.sql.execution.command.MetadataCommand$$anonfun$run$1.apply(package.scala:123) > at > org.apache.spark.sql.execution.command.Auditable$class.runWithAudit(package.scala:104) > at > org.apache.spark.sql.execution.command.MetadataCommand.runWithAudit(package.scala:120) > at > org.apache.spark.sql.execution.command.MetadataCommand.run(package.scala:123) > at > org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70) > at > org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68) > at > org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79) > at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at > org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at > org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259) at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77) > at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3258) at > org.apache.spark.sql.Dataset.<init>(Dataset.scala:190) at > org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:75) at > org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642) at > org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694) at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:232) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:175) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:171) > 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$$anon$1.run(SparkExecuteStatementOperation.scala:185) > at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) > at java.util.concurrent.FutureTask.run(FutureTask.java:266) at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745)2020-06-05 01:52:32,635 | ERROR | > [HiveServer2-Background-Pool: Thread-102] | Error running hive query: | > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:179)org.apache.hive.service.cli.HiveSQLException: > java.lang.NumberFormatException: For input string: "" at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:269) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:175) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:171) > 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$1.run(SparkExecuteStatementOperation.scala:185) > at java.util.concurrent.Executors$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$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745)2020-06-05 01:52:32,800 | INFO | > [HiveServer2-Handler-Pool: Thread-97] | Asked to cancel job group > 72fed8a2-70af-4af1-8d17-b2f1e562138c | > org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54) -- This message was sent by Atlassian Jira (v8.3.4#803005)