[jira] [Created] (CARBONDATA-2277) Filter on default values are not working

[Akash R Nilugal (Jira)]

Jatin created CARBONDATA-2277:
---------------------------------

             Summary: Filter on default values are not working
                 Key: CARBONDATA-2277
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-2277
             Project: CarbonData
          Issue Type: Bug
          Components: core
    Affects Versions: 1.4.0
         Environment: Spark-2.2
            Reporter: Jatin
             Fix For: 1.4.0


0: jdbc:hive2://localhost:10000> create table testFilter(data int) stored by 'carbondata';
+---------+--+
| Result |
+---------+--+
+---------+--+
No rows selected (1.231 seconds)
0: jdbc:hive2://localhost:10000> insert into testFilter values(22);
+---------+--+
| Result |
+---------+--+
+---------+--+
No rows selected (3.726 seconds)
0: jdbc:hive2://localhost:10000> alter table testFilter add columns(c1 int) TBLPROPERTIES('DEFAULT.VALUE.c1' = '25');
+---------+--+
| Result |
+---------+--+
+---------+--+
No rows selected (1.761 seconds)
0: jdbc:hive2://localhost:10000> select * from testFilter;
+-------+-----+--+
| data | c1 |
+-------+-----+--+
| 22 | 25 |
+-------+-----+--+
1 row selected (0.85 seconds)

0: jdbc:hive2://localhost:10000> select * from testFilter where c1=25;
Error: java.nio.BufferUnderflowException (state=,code=0)

Stack Trace : 

18/03/25 13:34:08 INFO CarbonLateDecodeRule: pool-20-thread-8 skip CarbonOptimizer
18/03/25 13:34:08 INFO CarbonLateDecodeRule: pool-20-thread-8 Skip CarbonOptimizer
18/03/25 13:34:08 INFO TableInfo: pool-20-thread-8 Table block size not specified for default_testfilter. Therefore considering the default value 1024 MB
18/03/25 13:34:08 ERROR SparkExecuteStatementOperation: Error executing query, currentState RUNNING,
java.nio.BufferUnderflowException
 at java.nio.Buffer.nextGetIndex(Buffer.java:506)
 at java.nio.HeapByteBuffer.getLong(HeapByteBuffer.java:412)
 at org.apache.carbondata.core.util.DataTypeUtil.getMeasureObjectFromDataType(DataTypeUtil.java:117)
 at org.apache.carbondata.core.scan.filter.executer.RestructureEvaluatorImpl.isMeasureDefaultValuePresentInFilterValues(RestructureEvaluatorImpl.java:113)
 at org.apache.carbondata.core.scan.filter.executer.RestructureExcludeFilterExecutorImpl.<init>(RestructureExcludeFilterExecutorImpl.java:43)
 at org.apache.carbondata.core.scan.filter.FilterUtil.getExcludeFilterExecuter(FilterUtil.java:281)
 at org.apache.carbondata.core.scan.filter.FilterUtil.createFilterExecuterTree(FilterUtil.java:147)
 at org.apache.carbondata.core.scan.filter.FilterUtil.createFilterExecuterTree(FilterUtil.java:158)
 at org.apache.carbondata.core.scan.filter.FilterUtil.getFilterExecuterTree(FilterUtil.java:1296)
 at org.apache.carbondata.core.indexstore.blockletindex.BlockletDataMap.prune(BlockletDataMap.java:644)
 at org.apache.carbondata.core.indexstore.blockletindex.BlockletDataMap.prune(BlockletDataMap.java:685)
 at org.apache.carbondata.core.datamap.TableDataMap.prune(TableDataMap.java:74)
 at org.apache.carbondata.hadoop.api.CarbonTableInputFormat.getDataBlocksOfSegment(CarbonTableInputFormat.java:739)
 at org.apache.carbondata.hadoop.api.CarbonTableInputFormat.getSplits(CarbonTableInputFormat.java:666)
 at org.apache.carbondata.hadoop.api.CarbonTableInputFormat.getSplits(CarbonTableInputFormat.java:426)
 at org.apache.carbondata.spark.rdd.CarbonScanRDD.getPartitions(CarbonScanRDD.scala:96)
 at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252)
 at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250)
 at scala.Option.getOrElse(Option.scala:121)
 at org.apache.spark.rdd.RDD.partitions(RDD.scala:250)
 at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
 at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252)
 at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250)
 at scala.Option.getOrElse(Option.scala:121)
 at org.apache.spark.rdd.RDD.partitions(RDD.scala:250)
 at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
 at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252)
 at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250)
 at scala.Option.getOrElse(Option.scala:121)
 at org.apache.spark.rdd.RDD.partitions(RDD.scala:250)
 at org.apache.spark.SparkContext.runJob(SparkContext.scala:1958)
 at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:935)
 at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
 at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
 at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
 at org.apache.spark.rdd.RDD.collect(RDD.scala:934)
 at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:275)
 at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2371)
 at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
 at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2765)
 at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2370)
 at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2375)
 at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2375)
 at org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2778)
 at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2375)
 at org.apache.spark.sql.Dataset.collect(Dataset.scala:2351)
 at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:235)
 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$$anon$1.run(SparkExecuteStatementOperation.scala:173)
 at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
 at java.util.concurrent.FutureTask.run(FutureTask.java:266)
 at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
 at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
 at java.lang.Thread.run(Thread.java:748)
18/03/25 13:34:08 ERROR SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: java.nio.BufferUnderflowException
 at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:258)
 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:1149)
 at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
 at java.lang.Thread.run(Thread.java:748)

 



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