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[jira] [Commented] (CARBONDATA-631) Select,Delete and Insert Query Failing for table created in 0.2 with data loaded in 1.0

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Akash R Nilugal (Jira)
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[jira] [Commented] (CARBONDATA-631) Select,Delete and Insert Query Failing for table created in 0.2 with data loaded in 1.0

Akash R Nilugal (Jira)

    [ https://issues.apache.org/jira/browse/CARBONDATA-631?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15863059#comment-15863059 ]

สืบอินทร์ commented on CARBONDATA-631:
--------------------------------------

https://issues.apache.org/jira/plugins/servlet/mobile#750L

> Select,Delete and Insert Query Failing for table created in 0.2 with data loaded in 1.0
> ---------------------------------------------------------------------------------------
>
>                 Key: CARBONDATA-631
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-631
>             Project: CarbonData
>          Issue Type: Bug
>    Affects Versions: 1.0.0-incubating
>         Environment: Spark 1.6
>            Reporter: Pallavi Singh
>            Assignee: kumar vishal
>             Fix For: NONE
>
>
> Created table  with the 0.2 jar:
> 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");
> then
> LOAD DATA INPATH 'hdfs://localhost:54310/csv/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');
> Switched to 1.0 jar
> LOAD DATA INPATH 'hdfs://localhost:54310/csv/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');
> After successful load :
> select count(*) from uniqdata;
> I get following error :
> INFO  12-01 18:31:04,057 - Running query 'select count(*) from uniqdata' with 81129cf3-fcd4-429d-9adf-d37d35cdf051
> INFO  12-01 18:31:04,058 - pool-27-thread-46 Query [SELECT COUNT(*) FROM UNIQDATA]
> INFO  12-01 18:31:04,060 - Parsing command: select count(*) from uniqdata
> INFO  12-01 18:31:04,060 - Parse Completed
> INFO  12-01 18:31:04,061 - Parsing command: select count(*) from uniqdata
> INFO  12-01 18:31:04,061 - Parse Completed
> INFO  12-01 18:31:04,061 - 27: get_table : db=12jan17 tbl=uniqdata
> INFO  12-01 18:31:04,061 - ugi=pallavi ip=unknown-ip-addr cmd=get_table : db=12jan17 tbl=uniqdata
> INFO  12-01 18:31:04,061 - 27: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
> INFO  12-01 18:31:04,063 - ObjectStore, initialize called
> INFO  12-01 18:31:04,068 - Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing
> INFO  12-01 18:31:04,069 - Using direct SQL, underlying DB is DERBY
> INFO  12-01 18:31:04,069 - Initialized ObjectStore
> INFO  12-01 18:31:04,101 - pool-27-thread-46 Starting to optimize plan
> ERROR 12-01 18:31:04,168 - pool-27-thread-46 Cannot convert12-01-2017 16:02:28 to Time/Long type valueUnparseable date: "12-01-2017 16:02:28"
> ERROR 12-01 18:31:04,185 - pool-27-thread-46 Cannot convert12-01-2017 16:02:08 to Time/Long type valueUnparseable date: "12-01-2017 16:02:08"
> ERROR 12-01 18:31:04,185 - pool-27-thread-46 Cannot convert12-01-2017 16:02:08 to Time/Long type valueUnparseable date: "12-01-2017 16:02:08"
> ERROR 12-01 18:31:04,204 - pool-27-thread-46 Cannot convert12-01-2017 16:02:08 to Time/Long type valueUnparseable date: "12-01-2017 16:02:08"
> ERROR 12-01 18:31:04,210 - Error executing query, currentState RUNNING,
> org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree:
> CarbonDictionaryDecoder [CarbonDecoderRelation(Map(dob#280 -> dob#280, double_column1#287 -> double_column1#287, decimal_column1#285 -> decimal_column1#285, cust_id#282L -> cust_id#282L, integer_column1#289L -> integer_column1#289L, decimal_column2#286 -> decimal_column2#286, cust_name#278 -> cust_name#278, double_column2#288 -> double_column2#288, active_emui_version#279 -> active_emui_version#279, bigint_column1#283L -> bigint_column1#283L, bigint_column2#284L -> bigint_column2#284L, doj#281 -> doj#281),CarbonDatasourceRelation(`12jan17`.`uniqdata`,None))], ExcludeProfile(ArrayBuffer()), CarbonAliasDecoderRelation()
> +- TungstenAggregate(key=[], functions=[(count(1),mode=Final,isDistinct=false)], output=[_c0#750L])
>    +- TungstenExchange SinglePartition, None
>       +- TungstenAggregate(key=[], functions=[(count(1),mode=Partial,isDistinct=false)], output=[count#754L])
>          +- CarbonScan CarbonRelation 12jan17, uniqdata, CarbonMetaData(ArrayBuffer(cust_name, active_emui_version, dob, doj),ArrayBuffer(cust_id, bigint_column1, bigint_column2, decimal_column1, decimal_column2, double_column1, double_column2, integer_column1),org.apache.carbondata.core.carbon.metadata.schema.table.CarbonTable@2302bcb1,DictionaryMap(Map(cust_name -> true, active_emui_version -> true, dob -> false, doj -> false))), org.apache.carbondata.spark.merger.TableMeta@2d38370a, None, true
> at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:49)
> at org.apache.spark.sql.CarbonDictionaryDecoder.doExecute(CarbonDictionaryDecoder.scala:153)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
> at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:166)
> at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:174)
> at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
> at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
> at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2086)
> at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$execute$1(DataFrame.scala:1498)
> at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$collect$1.apply(DataFrame.scala:1503)
> at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$collect$1.apply(DataFrame.scala:1503)
> at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2099)
> at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$collect(DataFrame.scala:1503)
> at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1480)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:226)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:154)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:151)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:164)
> at java.util.concurrent.Executors$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$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree:
> TungstenAggregate(key=[], functions=[(count(1),mode=Final,isDistinct=false)], output=[_c0#750L])
> +- TungstenExchange SinglePartition, None
>    +- TungstenAggregate(key=[], functions=[(count(1),mode=Partial,isDistinct=false)], output=[count#754L])
>       +- CarbonScan CarbonRelation 12jan17, uniqdata, CarbonMetaData(ArrayBuffer(cust_name, active_emui_version, dob, doj),ArrayBuffer(cust_id, bigint_column1, bigint_column2, decimal_column1, decimal_column2, double_column1, double_column2, integer_column1),org.apache.carbondata.core.carbon.metadata.schema.table.CarbonTable@2302bcb1,DictionaryMap(Map(cust_name -> true, active_emui_version -> true, dob -> false, doj -> false))), org.apache.carbondata.spark.merger.TableMeta@2d38370a, None, true
> at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:49)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregate.doExecute(TungstenAggregate.scala:80)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
> at org.apache.spark.sql.CarbonDictionaryDecoder$$anonfun$doExecute$1.apply(CarbonDictionaryDecoder.scala:214)
> at org.apache.spark.sql.CarbonDictionaryDecoder$$anonfun$doExecute$1.apply(CarbonDictionaryDecoder.scala:153)
> at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:48)
> ... 29 more
> Caused by: org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree:
> TungstenExchange SinglePartition, None
> +- TungstenAggregate(key=[], functions=[(count(1),mode=Partial,isDistinct=false)], output=[count#754L])
>    +- CarbonScan CarbonRelation 12jan17, uniqdata, CarbonMetaData(ArrayBuffer(cust_name, active_emui_version, dob, doj),ArrayBuffer(cust_id, bigint_column1, bigint_column2, decimal_column1, decimal_column2, double_column1, double_column2, integer_column1),org.apache.carbondata.core.carbon.metadata.schema.table.CarbonTable@2302bcb1,DictionaryMap(Map(cust_name -> true, active_emui_version -> true, dob -> false, doj -> false))), org.apache.carbondata.spark.merger.TableMeta@2d38370a, None, true
> at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:49)
> at org.apache.spark.sql.execution.Exchange.doExecute(Exchange.scala:247)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1.apply(TungstenAggregate.scala:86)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1.apply(TungstenAggregate.scala:80)
> at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:48)
> ... 37 more
> Caused by: java.io.IOException: Problem in loading segment block.
> at org.apache.carbondata.core.carbon.datastore.SegmentTaskIndexStore.get(SegmentTaskIndexStore.java:97)
> at org.apache.carbondata.core.carbon.datastore.SegmentTaskIndexStore.get(SegmentTaskIndexStore.java:52)
> at org.apache.carbondata.hadoop.CacheAccessClient.get(CacheAccessClient.java:67)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getSegmentAbstractIndexs(CarbonInputFormat.java:486)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getDataBlocksOfSegment(CarbonInputFormat.java:338)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getSplits(CarbonInputFormat.java:295)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getSplits(CarbonInputFormat.java:244)
> at org.apache.carbondata.spark.rdd.CarbonScanRDD.getPartitions(CarbonScanRDD.scala:82)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.ShuffleDependency.<init>(Dependency.scala:91)
> at org.apache.spark.sql.execution.Exchange.prepareShuffleDependency(Exchange.scala:220)
> at org.apache.spark.sql.execution.Exchange$$anonfun$doExecute$1.apply(Exchange.scala:254)
> at org.apache.spark.sql.execution.Exchange$$anonfun$doExecute$1.apply(Exchange.scala:248)
> at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:48)
> ... 45 more
> Caused by: java.lang.RuntimeException: Missing Carbon index file for partition[0] Segment[0], taskId[0]
> at org.apache.carbondata.core.carbon.path.CarbonTablePath.getCarbonIndexFilePath(CarbonTablePath.java:270)
> at org.apache.carbondata.core.util.CarbonUtil.calculateDriverBTreeSize(CarbonUtil.java:917)
> at org.apache.carbondata.core.carbon.datastore.SegmentTaskIndexStore.calculateRequiredSize(SegmentTaskIndexStore.java:280)
> at org.apache.carbondata.core.carbon.datastore.SegmentTaskIndexStore.loadAndGetTaskIdToSegmentsMap(SegmentTaskIndexStore.java:225)
> at org.apache.carbondata.core.carbon.datastore.SegmentTaskIndexStore.get(SegmentTaskIndexStore.java:91)
> ... 76 more
> ERROR 12-01 18:31:04,213 - Error running hive query:
> org.apache.hive.service.cli.HiveSQLException: org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree:
> CarbonDictionaryDecoder [CarbonDecoderRelation(Map(dob#280 -> dob#280, double_column1#287 -> double_column1#287, decimal_column1#285 -> decimal_column1#285, cust_id#282L -> cust_id#282L, integer_column1#289L -> integer_column1#289L, decimal_column2#286 -> decimal_column2#286, cust_name#278 -> cust_name#278, double_column2#288 -> double_column2#288, active_emui_version#279 -> active_emui_version#279, bigint_column1#283L -> bigint_column1#283L, bigint_column2#284L -> bigint_column2#284L, doj#281 -> doj#281),CarbonDatasourceRelation(`12jan17`.`uniqdata`,None))], ExcludeProfile(ArrayBuffer()), CarbonAliasDecoderRelation()
> +- TungstenAggregate(key=[], functions=[(count(1),mode=Final,isDistinct=false)], output=[_c0#750L])
>    +- TungstenExchange SinglePartition, None
>       +- TungstenAggregate(key=[], functions=[(count(1),mode=Partial,isDistinct=false)], output=[count#754L])
>          +- CarbonScan CarbonRelation 12jan17, uniqdata, CarbonMetaData(ArrayBuffer(cust_name, active_emui_version, dob, doj),ArrayBuffer(cust_id, bigint_column1, bigint_column2, decimal_column1, decimal_column2, double_column1, double_column2, integer_column1),org.apache.carbondata.core.carbon.metadata.schema.table.CarbonTable@2302bcb1,DictionaryMap(Map(cust_name -> true, active_emui_version -> true, dob -> false, doj -> false))), org.apache.carbondata.spark.merger.TableMeta@2d38370a, None, true
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:246)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:154)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:151)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:164)
> at java.util.concurrent.Executors$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)
> After that we run :
> select * from uniqdata;
> we get following error :
> INFO  12-01 18:33:58,353 - Running query 'select * from uniqdata' with fcb69ebc-292d-4759-bb89-404837c1674b
> INFO  12-01 18:33:58,353 - pool-27-thread-47 Query [SELECT * FROM UNIQDATA]
> INFO  12-01 18:33:58,355 - Parsing command: select * from uniqdata
> INFO  12-01 18:33:58,355 - Parse Completed
> INFO  12-01 18:33:58,355 - Parsing command: select * from uniqdata
> INFO  12-01 18:33:58,356 - Parse Completed
> INFO  12-01 18:33:58,356 - 28: get_table : db=12jan17 tbl=uniqdata
> INFO  12-01 18:33:58,356 - ugi=pallavi ip=unknown-ip-addr cmd=get_table : db=12jan17 tbl=uniqdata
> INFO  12-01 18:33:58,356 - 28: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
> INFO  12-01 18:33:58,358 - ObjectStore, initialize called
> INFO  12-01 18:33:58,363 - Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing
> INFO  12-01 18:33:58,363 - Using direct SQL, underlying DB is DERBY
> INFO  12-01 18:33:58,363 - Initialized ObjectStore
> INFO  12-01 18:33:58,396 - pool-27-thread-47 Starting to optimize plan
> ERROR 12-01 18:33:58,459 - pool-27-thread-47 Cannot convert12-01-2017 16:02:28 to Time/Long type valueUnparseable date: "12-01-2017 16:02:28"
> ERROR 12-01 18:33:58,468 - pool-27-thread-47 Cannot convert12-01-2017 16:02:08 to Time/Long type valueUnparseable date: "12-01-2017 16:02:08"
> ERROR 12-01 18:33:58,468 - pool-27-thread-47 Cannot convert12-01-2017 16:02:08 to Time/Long type valueUnparseable date: "12-01-2017 16:02:08"
> ERROR 12-01 18:33:58,477 - pool-27-thread-47 Cannot convert12-01-2017 16:02:08 to Time/Long type valueUnparseable date: "12-01-2017 16:02:08"
> ERROR 12-01 18:33:58,478 - Error executing query, currentState RUNNING,
> java.io.IOException: Problem in loading segment block.
> at org.apache.carbondata.core.carbon.datastore.SegmentTaskIndexStore.get(SegmentTaskIndexStore.java:97)
> at org.apache.carbondata.core.carbon.datastore.SegmentTaskIndexStore.get(SegmentTaskIndexStore.java:52)
> at org.apache.carbondata.hadoop.CacheAccessClient.get(CacheAccessClient.java:67)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getSegmentAbstractIndexs(CarbonInputFormat.java:486)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getDataBlocksOfSegment(CarbonInputFormat.java:338)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getSplits(CarbonInputFormat.java:295)
> at org.apache.carbondata.hadoop.CarbonInputFormat.getSplits(CarbonInputFormat.java:244)
> at org.apache.carbondata.spark.rdd.CarbonScanRDD.getPartitions(CarbonScanRDD.scala:82)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:926)
> at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:166)
> at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:174)
> at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
> at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
> at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2086)
> at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$execute$1(DataFrame.scala:1498)
> at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$collect$1.apply(DataFrame.scala:1503)
> at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$collect$1.apply(DataFrame.scala:1503)
> at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2099)
> at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$collect(DataFrame.scala:1503)
> at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1480)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:226)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:154)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:151)
> 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:1628)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:164)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.RuntimeException: Missing Carbon index file for partition[0] Segment[0], taskId[0]
> at org.apache.carbondata.core.carbon.path.CarbonTablePath.getCarbonIndexFilePath(CarbonTablePath.java:270)
> at org.apache.carbondata.core.util.CarbonUtil.calculateDriverBTreeSize(CarbonUtil.java:917)
> at org.apache.carbondata.core.carbon.datastore.SegmentTaskIndexStore.calculateRequiredSize(SegmentTaskIndexStore.java:280)
> at org.apache.carbondata.core.carbon.datastore.SegmentTaskIndexStore.loadAndGetTaskIdToSegmentsMap(SegmentTaskIndexStore.java:225)
> at org.apache.carbondata.core.carbon.datastore.SegmentTaskIndexStore.get(SegmentTaskIndexStore.java:91)
> ... 56 more
> ERROR 12-01 18:33:58,479 - Error running hive query:
> org.apache.hive.service.cli.HiveSQLException: java.io.IOException: Problem in loading segment block.
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:246)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:154)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:151)
> 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:1628)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:164)
> at java.util.concurrent.Executors$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)
> The delete query :
> DELETE FROM uniqdata WHERE CUST_ID=9049 AND CUST_NAME='CUST_NAME_00049';
> is giving :
> Error: java.lang.RuntimeException: Delete data operation is failed. Problem in loading segment block.
> and the insert query:
> insert into table uniqdata select * from uniqdata
> gives following error :
> Error: java.io.IOException: Problem in loading segment block.



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