Geetika Gupta created CARBONDATA-1940:
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Summary: Select query on preaggregate table created with group by clause throws exception: Column does not exist
Key: CARBONDATA-1940
URL:
https://issues.apache.org/jira/browse/CARBONDATA-1940 Project: CarbonData
Issue Type: Bug
Components: data-query
Affects Versions: 1.3.0
Environment: spark2.1
Reporter: Geetika Gupta
We create a carbon table
spark.sql(
s"""
| CREATE TABLE carbon_table(
| shortField SHORT,
| intField INT,
| bigintField LONG,
| doubleField DOUBLE,
| stringField STRING,
| timestampField TIMESTAMP,
| decimalField DECIMAL(18,2),
| dateField DATE,
| charField CHAR(5),
| floatField FLOAT,
| complexData ARRAY<STRING>
| )
| STORED BY 'carbondata'
| TBLPROPERTIES('SORT_COLUMNS'='', 'DICTIONARY_INCLUDE'='dateField, charField')
""".stripMargin)
Pre-aggregate create command:
spark.sql("create datamap abcaggnew on table carbon_table using 'org.apache.carbondata.datamap.AggregateDataMapHandler' as select shortField, sum(shortField) from carbon_table group by shortfield,stringField").show
when we perform query on preaggregate table using
spark.sql("select shortField, sum(shortField) from carbon_table group by shortfield,stringField").show
It shows the following error:
Exception in thread "main" org.apache.spark.sql.AnalysisException: Column does not exists in Pre Aggregate table;
at org.apache.spark.sql.hive.CarbonPreAggregateQueryRules.getChildAttributeReference(CarbonPreAggregateRules.scala:491)
at org.apache.spark.sql.hive.CarbonPreAggregateQueryRules$$anonfun$13$$anonfun$apply$4.applyOrElse(CarbonPreAggregateRules.scala:788)
at org.apache.spark.sql.hive.CarbonPreAggregateQueryRules$$anonfun$13$$anonfun$apply$4.applyOrElse(CarbonPreAggregateRules.scala:786)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:288)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:288)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:287)
at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:277)
at org.apache.spark.sql.hive.CarbonPreAggregateQueryRules$$anonfun$13.apply(CarbonPreAggregateRules.scala:786)
at org.apache.spark.sql.hive.CarbonPreAggregateQueryRules$$anonfun$13.apply(CarbonPreAggregateRules.scala:785)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at org.apache.spark.sql.hive.CarbonPreAggregateQueryRules.getUpdatedExpressions(CarbonPreAggregateRules.scala:785)
at org.apache.spark.sql.hive.CarbonPreAggregateQueryRules$$anonfun$transformPreAggQueryPlan$1.applyOrElse(CarbonPreAggregateRules.scala:547)
at org.apache.spark.sql.hive.CarbonPreAggregateQueryRules$$anonfun$transformPreAggQueryPlan$1.applyOrElse(CarbonPreAggregateRules.scala:540)
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