PRIYESH RANJAN created CARBONDATA-4275: ------------------------------------------
Summary: alter drop column fails for all primitive datatype except integer on carbon table with spark 3.1.1 Key: CARBONDATA-4275 URL: https://issues.apache.org/jira/browse/CARBONDATA-4275 Project: CarbonData Issue Type: Bug Components: data-query Affects Versions: 2.2.0 Environment: Spark 3.1.1 Reporter: PRIYESH RANJAN Steps:- *Issue : alter drop column fails for all primitive datatype except integer on carbon table with spark 3.1.1* CREATE TABLE uniqdata_alter(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 as carbondata ; *Scenario 1*: alter table uniqdata_alter drop columns(Double_COLUMN1); *Scenario 2 :* alter table uniqdata_alter drop columns(cust_name); *Scenario 3:* alter table uniqdata_alter drop columns(DECIMAL_COLUMN2); *Scenario 4:* alter table uniqdata_alter drop columns(BIGINT_COLUMN2); *Scenario 5:* alter table uniqdata_alter drop columns(DOB); *+error message for all above scenario:+* 0: jdbc:hive2://10.21.19.14:23040/default> alter table uniqdata_alter drop columns(Double_COLUMN1); Error: org.apache.hive.service.cli.HiveSQLException: Error running query: org.apache.carbondata.spark.exception.ProcessMetaDataException: operation failed for default.uniqdata_alter: Alter table drop column operation failed: org.apache.hadoop.hive.ql.metadata.HiveException: Unable to alter table. The following columns have types incompatible with the existing columns in their respective positions : col at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:361) at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.$anonfun$run$2(SparkExecuteStatementOperation.scala:263) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78) at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62) at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:43) at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.run(SparkExecuteStatementOperation.scala:263) at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.run(SparkExecuteStatementOperation.scala:258) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1746) at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2.run(SparkExecuteStatementOperation.scala:272) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.carbondata.spark.exception.ProcessMetaDataException: operation failed for default.uniqdata_alter: Alter table drop column operation failed: org.apache.hadoop.hive.ql.metadata.HiveException: Unable to alter table. The following columns have types incompatible with the existing columns in their respective positions : col at org.apache.spark.sql.execution.command.MetadataProcessOperation.throwMetadataException(package.scala:69) at org.apache.spark.sql.execution.command.MetadataProcessOperation.throwMetadataException$(package.scala:68) at org.apache.spark.sql.execution.command.MetadataCommand.throwMetadataException(package.scala:134) at org.apache.spark.sql.execution.command.schema.CarbonAlterTableDropColumnCommand.processMetadata(CarbonAlterTableDropColumnCommand.scala:216) at org.apache.spark.sql.execution.command.MetadataCommand.$anonfun$run$1(package.scala:137) at org.apache.spark.sql.execution.command.Auditable.runWithAudit(package.scala:118) at org.apache.spark.sql.execution.command.Auditable.runWithAudit$(package.scala:114) at org.apache.spark.sql.execution.command.MetadataCommand.runWithAudit(package.scala:134) at org.apache.spark.sql.execution.command.MetadataCommand.run(package.scala:137) 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$logicalPlan$1(Dataset.scala:228) at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3687) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3685) at org.apache.spark.sql.Dataset.<init>(Dataset.scala:228) at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96) at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:615) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:610) at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650) at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:325) ... 16 more (state=,code=0) *+expected result+* : column should drop without error. -- This message was sent by Atlassian Jira (v8.3.4#803005)