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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2014/12/25 07:45:13 UTC
[jira] [Commented] (SPARK-4959) Attributes are case sensitive when
using a select query from a projection
[ https://issues.apache.org/jira/browse/SPARK-4959?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14258657#comment-14258657 ]
Apache Spark commented on SPARK-4959:
-------------------------------------
User 'chenghao-intel' has created a pull request for this issue:
https://github.com/apache/spark/pull/3796
> Attributes are case sensitive when using a select query from a projection
> -------------------------------------------------------------------------
>
> Key: SPARK-4959
> URL: https://issues.apache.org/jira/browse/SPARK-4959
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.2.0
> Reporter: Andy Konwinski
>
> Per [~marmbrus], see this line of code, where we should be using an attribute map
> https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala#L147
> To reproduce, i ran the following in the Spark shell:
> {code}
> import sqlContext._
> sql("drop table if exists test")
> sql("create table test (col1 string)")
> sql("""insert into table test select "hi" from prejoined limit 1""")
> val projection = "col1".attr.as(Symbol("CaseSensitiveColName")) :: "col1".attr.as(Symbol("CaseSensitiveColName2")) :: Nil
> sqlContext.table("test").select(projection:_*).registerTempTable("test2")
> # This succeeds.
> sql("select CaseSensitiveColName from test2").first()
> # This fails with java.util.NoSuchElementException: key not found: casesensitivecolname#23046
> sql("select casesensitivecolname from test2").first()
> {code}
> The full stack trace printed for the final command that is failing:
> {code}
> java.util.NoSuchElementException: key not found: casesensitivecolname#23046
> at scala.collection.MapLike$class.default(MapLike.scala:228)
> at org.apache.spark.sql.catalyst.expressions.AttributeMap.default(AttributeMap.scala:29)
> at scala.collection.MapLike$class.apply(MapLike.scala:141)
> at org.apache.spark.sql.catalyst.expressions.AttributeMap.apply(AttributeMap.scala:29)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at org.apache.spark.sql.hive.execution.HiveTableScan.<init>(HiveTableScan.scala:57)
> at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:221)
> at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:221)
> at org.apache.spark.sql.SQLContext$SparkPlanner.pruneFilterProject(SQLContext.scala:378)
> at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$.apply(HiveStrategies.scala:217)
> at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
> at org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
> at org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:285)
> at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
> at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:418)
> at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:416)
> at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:422)
> at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:422)
> at org.apache.spark.sql.SchemaRDD.collect(SchemaRDD.scala:444)
> at org.apache.spark.sql.SchemaRDD.take(SchemaRDD.scala:446)
> at org.apache.spark.sql.SchemaRDD.take(SchemaRDD.scala:108)
> at org.apache.spark.rdd.RDD.first(RDD.scala:1093)
> {code}
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