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Posted to issues@carbondata.apache.org by "Jatin (JIRA)" <ji...@apache.org> on 2018/03/25 08:08:00 UTC
[jira] [Assigned] (CARBONDATA-2277) Filter on default values are
not working
[ https://issues.apache.org/jira/browse/CARBONDATA-2277?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jatin reassigned CARBONDATA-2277:
---------------------------------
Assignee: Jatin
> 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
> Assignee: Jatin
> Priority: Major
> 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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