[ https://issues.apache.org/jira/browse/SPARK-6472?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yin Huai updated SPARK-6472: ---------------------------- Component/s: SQL > Elements of an array of structs cannot be accessed. > --------------------------------------------------- > > Key: SPARK-6472 > URL: https://issues.apache.org/jira/browse/SPARK-6472 > Project: Spark > Issue Type: Bug > Components: SQL > Reporter: Yin Huai > Priority: Blocker > > I tried the following snippet with HiveContext. > {code} > import sqlContext._ > val rdd = sc.parallelize("""{"a":[{"b":1}, {"b":2}]}""" :: Nil) > val df = jsonRDD(rdd) > df.registerTempTable("jt") > // This one does not work. > df.select("a[0]").collect > // This one is fine. > sql("select a[0] from jt").collect > {code} > The exception is > {code} > df.select("a[0]").collect > org.apache.spark.sql.AnalysisException: cannot resolve 'a[0]' given input > columns a; > at > org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$apply$3$$anonfun$apply$1.applyOrElse(CheckAnalysis.scala:48) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$apply$3$$anonfun$apply$1.applyOrElse(CheckAnalysis.scala:45) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:250) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:250) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:50) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:249) > at > org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$transformExpressionUp$1(QueryPlan.scala:104) > at > org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$2$$anonfun$apply$2.apply(QueryPlan.scala:118) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) > at scala.collection.AbstractTraversable.map(Traversable.scala:105) > at > org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$2.apply(QueryPlan.scala:117) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:122) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$apply$3.apply(CheckAnalysis.scala:45) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$apply$3.apply(CheckAnalysis.scala:43) > at > org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:88) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis.apply(CheckAnalysis.scala:43) > at > org.apache.spark.sql.SQLContext$QueryExecution.assertAnalyzed(SQLContext.scala:1108) > at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133) > at > org.apache.spark.sql.DataFrame.logicalPlanToDataFrame(DataFrame.scala:157) > at org.apache.spark.sql.DataFrame.select(DataFrame.scala:465) > at org.apache.spark.sql.DataFrame.select(DataFrame.scala:480) > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org