[jira] [Commented] (CARBONDATA-1807) Carbon1.3.0-Pre-AggregateTable - Pre-aggregate creation not throwing error for wrong syntax and results in further query failures

[Akash R Nilugal (Jira)]

    [ https://issues.apache.org/jira/browse/CARBONDATA-1807?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16266386#comment-16266386 ]

Ramakrishna S commented on CARBONDATA-1807:
-------------------------------------------

issue was with the create command - 'org.apache.carbondta.datamap.AggregateDataMapHandler' , should have thrown the error for wrong syntax.
i have changed the description accordingly.

> Carbon1.3.0-Pre-AggregateTable - Pre-aggregate creation not throwing error for wrong syntax and results in further query failures
> ---------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: CARBONDATA-1807
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-1807
>             Project: CarbonData
>          Issue Type: Bug
>          Components: data-load
>    Affects Versions: 1.3.0
>         Environment: Test - 3 node ant cluster
>            Reporter: Ramakrishna S
>            Assignee: kumar vishal
>            Priority: Minor
>              Labels: DFX
>             Fix For: 1.3.0
>
>
> Steps:
> Beeline:
> 1. Create table and load with  data
> 2. create a pre-aggregate table with incorrect syntax.
> 3. Run select count(*) on aggregate table
> 4. Run aggregate select query on main table
> *+Expected:+* Pre-aggregate table creation should have trhown syntax error
> *+Actual:+* Pre-aggregate table is shown successful, but aggregate query fails.
> *+Query:+*
> create table if not exists JL_r31
> (
> p_cap_time String,
> city String,
> product_code String,
> user_base_station String,
> user_belong_area_code String,
> user_num String,
> user_imsi String,
> user_id String,
> user_msisdn String,
> dim1 String,
> dim2 String,
> dim3 String,
> dim4 String,
> dim5 String,
> dim6 String,
> dim7 String,
> dim8 String,
> dim9 String,
> dim10 String,
> dim11 String,
> dim12 String,
> dim13 String,
> dim14 String,
> dim15 String,
> dim16 String,
> dim17 String,
> dim18 String,
> dim19 String,
> dim20 String,
> dim21 String,
> dim22 String,
> dim23 String,
> dim24 String,
> dim25 String,
> dim26 String,
> dim27 String,
> dim28 String,
> dim29 String,
> dim30 String,
> dim31 String,
> dim32 String,
> dim33 String,
> dim34 String,
> dim35 String,
> dim36 String,
> dim37 String,
> dim38 String,
> dim39 String,
> dim40 String,
> dim41 String,
> dim42 String,
> dim43 String,
> dim44 String,
> dim45 String,
> dim46 String,
> dim47 String,
> dim48 String,
> dim49 String,
> dim50 String,
> dim51 String,
> dim52 String,
> dim53 String,
> dim54 String,
> dim55 String,
> dim56 String,
> dim57 String,
> dim58 String,
> dim59 String,
> dim60 String,
> dim61 String,
> dim62 String,
> dim63 String,
> dim64 String,
> dim65 String,
> dim66 String,
> dim67 String,
> dim68 String,
> dim69 String,
> dim70 String,
> dim71 String,
> dim72 String,
> dim73 String,
> dim74 String,
> dim75 String,
> dim76 String,
> dim77 String,
> dim78 String,
> dim79 String,
> dim80 String,
> dim81 String,
> M1 double,
> M2 double,
> M3 double,
> M4 double,
> M5 double,
> M6 double,
> M7 double,
> M8 double,
> M9 double,
> M10 double )
> stored by 'org.apache.carbondata.format' TBLPROPERTIES('DICTIONARY_EXCLUDE'='user_num,user_imsi,user_ID,user_msisdn,user_base_station,user_belong_area_code','table_blocksize'='512');
> +---------+--+
> | Result  |
> +---------+--+
> +---------+--+
> No rows selected (0.55 seconds)
> LOAD DATA inpath 'hdfs://hacluster/user/test/jin_test2.csv' into table JL_r31 options('DELIMITER'=',', 'QUOTECHAR'='"','BAD_RECORDS_ACTION'='FORCE','IS_EMPTY_DATA_BAD_RECORD'='TRUE','FILEHEADER'='p_cap_time,city,product_code,user_base_station,user_belong_area_code,user_num,user_imsi,user_id,user_msisdn,dim1,dim2,dim3,dim4,dim5,dim6,dim7,dim8,dim9,dim10,dim11,dim12,dim13,dim14,dim15,dim16,dim17,dim18,dim19,dim20,dim21,dim22,dim23,dim24,dim25,dim26,dim27,dim28,dim29,dim30,dim31,dim32,dim33,dim34,dim35,dim36,dim37,dim38,dim39,dim40,dim41,dim42,dim43,dim44,dim45,dim46,dim47,dim48,dim49,dim50,dim51,dim52,dim53,dim54,dim55,dim56,dim57,dim58,dim59,dim60,dim61,dim62,dim63,dim64,dim65,dim66,dim67,dim68,dim69,dim70,dim71,dim72,dim73,dim74,dim75,dim76,dim77,dim78,dim79,dim80,dim81,M1,M2,M3,M4,M5,M6,M7,M8,M9,M10');
> +---------+--+
> | Result  |
> +---------+--+
> +---------+--+
> No rows selected (14.049 seconds)
> 0: jdbc:hive2://10.18.98.136:23040> create datamap agr_JL_r31 ON TABLE JL_r31 USING 'org.apache.carbondta.datamap.AggregateDataMapHandler' as select user_num,user_imsi,sum(user_id),count(user_id) from JL_r31 group by  user_num, user_imsi;
> +---------+--+
> | Result  |
> +---------+--+
> +---------+--+
> No rows selected (0.397 seconds)
> 0: jdbc:hive2://10.18.98.136:23040> select count(*) from JL_r31_agr_JL_r31;
> Error: org.apache.spark.sql.AnalysisException: Table or view not found: JL_r31_agr_JL_r31; line 1 pos 21 (state=,code=0)
> 0: jdbc:hive2://10.18.98.136:23040> select user_num,user_imsi,sum(user_id),count(user_id) from JL_r31 group by  user_num, user_imsi;
> Error: java.lang.ClassCastException: org.apache.carbondata.core.metadata.schema.table.DataMapSchema cannot be cast to org.apache.carbondata.core.metadata.schema.table.AggregationDataMapSchema (state=,code=0)
> Driver Logs:
> 2017-11-24 21:45:10,997 | INFO  | [pool-23-thread-4] | Parsing command: create datamap agr_JL_r31 ON TABLE JL_r31 USING 'org.apache.carbondta.datamap.AggregateDataMapHandler' as select user_num,user_imsi,sum(user_id),count(user_id) from JL_r31 group by  user_num, user_imsi | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:45:11,046 | INFO  | [pool-23-thread-4] | pool-23-thread-4 Skip CarbonOptimizer | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,051 | INFO  | [pool-23-thread-4] | 5: get_table : db=default tbl=jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logInfo(HiveMetaStore.java:746)
> 2017-11-24 21:45:11,051 | INFO  | [pool-23-thread-4] | ugi=anonymous ip=unknown-ip-addr cmd=get_table : db=default tbl=jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logAuditEvent(HiveMetaStore.java:371)
> 2017-11-24 21:45:11,052 | INFO  | [pool-23-thread-4] | 5: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.newRawStore(HiveMetaStore.java:589)
> 2017-11-24 21:45:11,055 | INFO  | [pool-23-thread-4] | ObjectStore, initialize called | org.apache.hadoop.hive.metastore.ObjectStore.initialize(ObjectStore.java:289)
> 2017-11-24 21:45:11,060 | INFO  | [pool-23-thread-4] | Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing | org.datanucleus.util.Log4JLogger.info(Log4JLogger.java:77)
> 2017-11-24 21:45:11,061 | INFO  | [pool-23-thread-4] | Using direct SQL, underlying DB is MYSQL | org.apache.hadoop.hive.metastore.MetaStoreDirectSql.<init>(MetaStoreDirectSql.java:139)
> 2017-11-24 21:45:11,062 | INFO  | [pool-23-thread-4] | Initialized ObjectStore | org.apache.hadoop.hive.metastore.ObjectStore.setConf(ObjectStore.java:272)
> 2017-11-24 21:45:11,084 | INFO  | [pool-23-thread-4] | Parsing command: array<string> | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:45:11,094 | INFO  | [pool-23-thread-4] | pool-23-thread-4 HDFS lock path:hdfs://hacluster/carbonstore/default/jl_r31/meta.lock | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,095 | INFO  | [pool-23-thread-4] | pool-23-thread-4 Trying to acquire lock: org.apache.carbondata.core.locks.HdfsFileLock@7abafd48 | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,129 | INFO  | [pool-23-thread-4] | pool-23-thread-4 Successfully acquired the lock org.apache.carbondata.core.locks.HdfsFileLock@7abafd48 | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,129 | INFO  | [pool-23-thread-4] | pool-23-thread-4 HDFS lock path:hdfs://hacluster/carbonstore/default/jl_r31/droptable.lock | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,129 | INFO  | [pool-23-thread-4] | pool-23-thread-4 Trying to acquire lock: org.apache.carbondata.core.locks.HdfsFileLock@650ff0aa | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,160 | INFO  | [pool-23-thread-4] | pool-23-thread-4 Successfully acquired the lock org.apache.carbondata.core.locks.HdfsFileLock@650ff0aa | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,254 | INFO  | [pool-23-thread-4] | Parsing command: `default`.`jl_r31` | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:45:11,269 | INFO  | [pool-23-thread-4] | 5: get_table : db=default tbl=jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logInfo(HiveMetaStore.java:746)
> 2017-11-24 21:45:11,270 | INFO  | [pool-23-thread-4] | ugi=anonymous ip=unknown-ip-addr cmd=get_table : db=default tbl=jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logAuditEvent(HiveMetaStore.java:371)
> 2017-11-24 21:45:11,288 | INFO  | [pool-23-thread-4] | Parsing command: array<string> | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:45:11,293 | INFO  | [pool-23-thread-4] | 5: get_table : db=default tbl=jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logInfo(HiveMetaStore.java:746)
> 2017-11-24 21:45:11,294 | INFO  | [pool-23-thread-4] | ugi=anonymous ip=unknown-ip-addr cmd=get_table : db=default tbl=jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logAuditEvent(HiveMetaStore.java:371)
> 2017-11-24 21:45:11,311 | INFO  | [pool-23-thread-4] | Parsing command: array<string> | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:45:11,319 | INFO  | [pool-23-thread-4] | 5: get_database: default | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logInfo(HiveMetaStore.java:746)
> 2017-11-24 21:45:11,320 | INFO  | [pool-23-thread-4] | ugi=anonymous ip=unknown-ip-addr cmd=get_database: default | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logAuditEvent(HiveMetaStore.java:371)
> 2017-11-24 21:45:11,325 | INFO  | [pool-23-thread-4] | 5: get_database: default | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logInfo(HiveMetaStore.java:746)
> 2017-11-24 21:45:11,325 | INFO  | [pool-23-thread-4] | ugi=anonymous ip=unknown-ip-addr cmd=get_database: default | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logAuditEvent(HiveMetaStore.java:371)
> 2017-11-24 21:45:11,330 | INFO  | [pool-23-thread-4] | 5: get_tables: db=default pat=* | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logInfo(HiveMetaStore.java:746)
> 2017-11-24 21:45:11,330 | INFO  | [pool-23-thread-4] | ugi=anonymous ip=unknown-ip-addr cmd=get_tables: db=default pat=* | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logAuditEvent(HiveMetaStore.java:371)
> 2017-11-24 21:45:11,345 | INFO  | [pool-23-thread-4] | pool-23-thread-4 Parent table updated is successful for table default.JL_r31 | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,360 | INFO  | [pool-23-thread-4] | pool-23-thread-4 Deleted the lock file hdfs://hacluster/carbonstore/default/jl_r31/meta.lock | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,360 | INFO  | [pool-23-thread-4] | pool-23-thread-4 Pre agg table lock released successfully | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,372 | INFO  | [pool-23-thread-4] | pool-23-thread-4 Deleted the lock file hdfs://hacluster/carbonstore/default/jl_r31/droptable.lock | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,372 | INFO  | [pool-23-thread-4] | pool-23-thread-4 Pre agg table lock released successfully | org.apache.carbondata.common.logging.impl.StandardLogService.logInfoMessage(StandardLogService.java:150)
> 2017-11-24 21:45:11,373 | AUDIT | [pool-23-thread-4] | [BLR1000014290][anonymous][Thread-171]DataMap agr_JL_r31 successfully added to Table JL_r31 | org.apache.carbondata.common.logging.impl.StandardLogService.audit(StandardLogService.java:207)
> 2017-11-24 21:46:06,670 | INFO  | [spark-dynamic-executor-allocation] | Request to remove executorIds: 5 | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:06,670 | INFO  | [spark-dynamic-executor-allocation] | Requesting to kill executor(s) 5 | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:06,670 | INFO  | [spark-dynamic-executor-allocation] | Actual list of executor(s) to be killed is 5 | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:06,679 | INFO  | [spark-dynamic-executor-allocation] | Removing executor 5 because it has been idle for 60 seconds (new desired total will be 1) | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:07,682 | INFO  | [spark-dynamic-executor-allocation] | Request to remove executorIds: 4 | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:07,682 | INFO  | [spark-dynamic-executor-allocation] | Requesting to kill executor(s) 4 | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:07,683 | INFO  | [spark-dynamic-executor-allocation] | Actual list of executor(s) to be killed is 4 | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:07,691 | INFO  | [spark-dynamic-executor-allocation] | Removing executor 4 because it has been idle for 60 seconds (new desired total will be 0) | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,221 | INFO  | [dispatcher-event-loop-1] | Disabling executor 5. | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,221 | INFO  | [dag-scheduler-event-loop] | Executor lost: 5 (epoch 0) | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,222 | INFO  | [dispatcher-event-loop-5] | Trying to remove executor 5 from BlockManagerMaster. | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,222 | INFO  | [dispatcher-event-loop-5] | Removing block manager BlockManagerId(5, BLR1000014291, 38929, None) | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,222 | INFO  | [dag-scheduler-event-loop] | Removed 5 successfully in removeExecutor | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,225 | INFO  | [dispatcher-event-loop-0] | Executor 5 on BLR1000014291 killed by driver. | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,227 | INFO  | [SparkListenerBus] | Existing executor 5 has been removed (new total is 1) | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,670 | INFO  | [dispatcher-event-loop-3] | Disabling executor 4. | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,671 | INFO  | [dag-scheduler-event-loop] | Executor lost: 4 (epoch 0) | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,671 | INFO  | [dispatcher-event-loop-4] | Trying to remove executor 4 from BlockManagerMaster. | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,671 | INFO  | [dispatcher-event-loop-4] | Removing block manager BlockManagerId(4, BLR1000014290, 55432, None) | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,672 | INFO  | [dag-scheduler-event-loop] | Removed 4 successfully in removeExecutor | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,675 | INFO  | [dispatcher-event-loop-2] | Executor 4 on BLR1000014290 killed by driver. | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:46:08,677 | INFO  | [SparkListenerBus] | Existing executor 4 has been removed (new total is 0) | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:49:03,912 | INFO  | [pool-23-thread-5] | Running query 'select count(*) from JL_r31_agr_JL_r31' with 6d7abd93-6d45-4a6b-bcda-d31441763de5 | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:49:03,913 | INFO  | [pool-23-thread-5] | Parsing command: select count(*) from JL_r31_agr_JL_r31 | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:49:03,962 | INFO  | [pool-23-thread-5] | 6: get_table : db=default tbl=jl_r31_agr_jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logInfo(HiveMetaStore.java:746)
> 2017-11-24 21:49:03,963 | INFO  | [pool-23-thread-5] | ugi=anonymous ip=unknown-ip-addr cmd=get_table : db=default tbl=jl_r31_agr_jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logAuditEvent(HiveMetaStore.java:371)
> 2017-11-24 21:49:03,963 | INFO  | [pool-23-thread-5] | 6: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.newRawStore(HiveMetaStore.java:589)
> 2017-11-24 21:49:03,967 | INFO  | [pool-23-thread-5] | ObjectStore, initialize called | org.apache.hadoop.hive.metastore.ObjectStore.initialize(ObjectStore.java:289)
> 2017-11-24 21:49:03,972 | INFO  | [pool-23-thread-5] | Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing | org.datanucleus.util.Log4JLogger.info(Log4JLogger.java:77)
> 2017-11-24 21:49:03,973 | INFO  | [pool-23-thread-5] | Using direct SQL, underlying DB is MYSQL | org.apache.hadoop.hive.metastore.MetaStoreDirectSql.<init>(MetaStoreDirectSql.java:139)
> 2017-11-24 21:49:03,974 | INFO  | [pool-23-thread-5] | Initialized ObjectStore | org.apache.hadoop.hive.metastore.ObjectStore.setConf(ObjectStore.java:272)
> 2017-11-24 21:49:03,982 | INFO  | [pool-23-thread-5] | 6: get_table : db=default tbl=jl_r31_agr_jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logInfo(HiveMetaStore.java:746)
> 2017-11-24 21:49:03,982 | INFO  | [pool-23-thread-5] | ugi=anonymous ip=unknown-ip-addr cmd=get_table : db=default tbl=jl_r31_agr_jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logAuditEvent(HiveMetaStore.java:371)
> 2017-11-24 21:49:03,987 | ERROR | [pool-23-thread-5] | Error executing query, currentState RUNNING,  | org.apache.spark.internal.Logging$class.logError(Logging.scala:91)
> org.apache.spark.sql.AnalysisException: Table or view not found: JL_r31_agr_JL_r31; line 1 pos 21
> at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveRelations$$lookupTableFromCatalog(Analyzer.scala:459)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.applyOrElse(Analyzer.scala:478)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.apply
> 2017-11-24 21:49:11,895 | INFO  | [pool-23-thread-6] | Running query 'select user_num,user_imsi,sum(user_id),count(user_id) from JL_r31 group by  user_num, user_imsi' with 95a0b546-381a-4300-9984-5ad53553036e | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:49:11,896 | INFO  | [pool-23-thread-6] | Parsing command: select user_num,user_imsi,sum(user_id),count(user_id) from JL_r31 group by  user_num, user_imsi | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:49:11,951 | INFO  | [pool-23-thread-6] | 7: get_table : db=default tbl=jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logInfo(HiveMetaStore.java:746)
> 2017-11-24 21:49:11,952 | INFO  | [pool-23-thread-6] | ugi=anonymous ip=unknown-ip-addr cmd=get_table : db=default tbl=jl_r31 | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.logAuditEvent(HiveMetaStore.java:371)
> 2017-11-24 21:49:11,953 | INFO  | [pool-23-thread-6] | 7: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore | org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.newRawStore(HiveMetaStore.java:589)
> 2017-11-24 21:49:11,956 | INFO  | [pool-23-thread-6] | ObjectStore, initialize called | org.apache.hadoop.hive.metastore.ObjectStore.initialize(ObjectStore.java:289)
> 2017-11-24 21:49:11,962 | INFO  | [pool-23-thread-6] | Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing | org.datanucleus.util.Log4JLogger.info(Log4JLogger.java:77)
> 2017-11-24 21:49:11,964 | INFO  | [pool-23-thread-6] | Using direct SQL, underlying DB is MYSQL | org.apache.hadoop.hive.metastore.MetaStoreDirectSql.<init>(MetaStoreDirectSql.java:139)
> 2017-11-24 21:49:11,964 | INFO  | [pool-23-thread-6] | Initialized ObjectStore | org.apache.hadoop.hive.metastore.ObjectStore.setConf(ObjectStore.java:272)
> 2017-11-24 21:49:11,985 | INFO  | [pool-23-thread-6] | Parsing command: array<string> | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
> 2017-11-24 21:49:12,129 | ERROR | [pool-23-thread-6] | Error executing query, currentState RUNNING,  | org.apache.spark.internal.Logging$class.logError(Logging.scala:91)
> java.lang.ClassCastException: org.apache.carbondata.core.metadata.schema.table.DataMapSchema cannot be cast to org.apache.carbondata.core.metadata.schema.table.AggregationDataMapSchema
> at org.apache.carbondata.core.preagg.AggregateTableSelector.selectPreAggDataMapSchema(AggregateTableSelector.java:70)
> at org.apache.spark.sql.hive.CarbonPreAggregateQueryRules.apply(CarbonPreAggregateRules.scala:185)
> at org.apache.spark.sql.hive.CarbonPreAggregateQueryRules.apply(CarbonPreAggregateRules.scala:67)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)
> at scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)
> at scala.collection.immutable.List.foldLeft(List.scala:84)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)
> at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:64)
> at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:62)
> at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:48)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:63)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:592)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:699)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$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)

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