Chetan Bhat created CARBONDATA-3950:
--------------------------------------- Summary: Alter table drop column for non partition column throws error Key: CARBONDATA-3950 URL: https://issues.apache.org/jira/browse/CARBONDATA-3950 Project: CarbonData Issue Type: Bug Components: data-query Affects Versions: 2.0.1 Environment: Spark 2.4.5 Reporter: Chetan Bhat From spark-sql the queries are executed as mentioned below- drop table if exists uniqdata_int; CREATE TABLE uniqdata_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) Partitioned by (cust_id int) stored as carbondata TBLPROPERTIES ("TABLE_BLOCKSIZE"= "256 MB"); LOAD DATA INPATH 'hdfs://hacluster/chetan/2000_UniqData.csv' into table uniqdata_int partition(cust_id='1') OPTIONS ('FILEHEADER'='CUST_ID,CUST_NAME ,ACTIVE_EMUI_VERSION,DOB,DOJ, BIGINT_COLUMN1,BIGINT_COLUMN2,DECIMAL_COLUMN1,DECIMAL_COLUMN2,Double_COLUMN1, Double_COLUMN2,INTEGER_COLUMN1','BAD_RECORDS_ACTION'='FORCE'); show partitions uniqdata_int; select * from uniqdata_int order by cust_id; alter table uniqdata_int add columns(id int); desc uniqdata_int; *alter table uniqdata_int drop columns(CUST_NAME);* desc uniqdata_int; Issue : Alter table drop column for non partition column throws error even though the operation is success. org.apache.carbondata.spark.exception.ProcessMetaDataException: operation failed for priyesh.uniqdata_int: Alterion failed: org.apache.hadoop.hive.ql.metadata.HiveException: Unable to alter table. The following columns have he existing columns in their respective positions : col; at org.apache.spark.sql.execution.command.MetadataProcessOperation$class.throwMetadataException(package. at org.apache.spark.sql.execution.command.MetadataCommand.throwMetadataException(package.scala:120) at org.apache.spark.sql.execution.command.schema.CarbonAlterTableDropColumnCommand.processMetadata(Carboand.scala:201) 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 at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:69) at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:80) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:196) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:196) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3379) at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:95 at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:144) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:86) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3378) at org.apache.spark.sql.Dataset.<init>(Dataset.scala:196) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:79) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:651) at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694) at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:67) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:387) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:406) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:279) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52) at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:87 at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:164) at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:187) at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:89) at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:951) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:960) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) spark-sql> desc uniqdata_int; active_emui_version string NULL dob timestamp NULL doj timestamp NULL bigint_column1 bigint NULL bigint_column2 bigint NULL decimal_column1 decimal(30,10) NULL decimal_column2 decimal(36,10) NULL double_column1 double NULL double_column2 double NULL integer_column1 int NULL id int cust_id int NULL # Partition Information # col_name data_type comment cust_id int NULL Time taken: 0.126 seconds, Fetched 15 row(s) -- This message was sent by Atlassian Jira (v8.3.4#803005) |
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