How about changing the last line to:
scala> val df2 = df.select(functions.array(df("a"),
df("b")).alias("arrayCol"))
df2: org.apache.spark.sql.DataFrame = [arrayCol: array<int>]
scala> df2.show()
+--------+
|arrayCol|
+--------+
| [0, 1]|
| [1, 2]|
| [2, 3]|
| [3, 4]|
| [4, 5]|
| [5, 6]|
| [6, 7]|
| [7, 8]|
| [8, 9]|
| [9, 10]|
+--------+
FYI
On Tue, Feb 9, 2016 at 1:38 PM, Rakesh Chalasani <vnit.rak...@gmail.com>
wrote:
> Sorry, didn't realize the mail didn't show the code. Using Spark release
> 1.6.0
>
> Below is an example to reproduce it.
>
> import org.apache.spark.sql.SQLContext
> val sqlContext = new SQLContext(sparkContext)
> import sqlContext.implicits._
> import org.apache.spark.sql.functions
>
> case class Test(a:Int, b:Int)
> val data = sparkContext.parallelize(Array.range(0, 10).map(x => Test(x,
> x+1)))
> val df = data.toDF()
> val arrayCol = functions.array(df("a"), df("b")).as("arrayCol")
>
> this throws the following exception:
> ava.lang.UnsupportedOperationException
> at
> org.apache.spark.sql.catalyst.expressions.PrettyAttribute.nullable(namedExpressions.scala:289)
> at
> org.apache.spark.sql.catalyst.expressions.CreateArray$$anonfun$dataType$3.apply(complexTypeCreator.scala:40)
> at
> org.apache.spark.sql.catalyst.expressions.CreateArray$$anonfun$dataType$3.apply(complexTypeCreator.scala:40)
> at
> scala.collection.IndexedSeqOptimized$$anonfun$exists$1.apply(IndexedSeqOptimized.scala:40)
> at
> scala.collection.IndexedSeqOptimized$$anonfun$exists$1.apply(IndexedSeqOptimized.scala:40)
> at
> scala.collection.IndexedSeqOptimized$class.segmentLength(IndexedSeqOptimized.scala:189)
> at
> scala.collection.mutable.ArrayBuffer.segmentLength(ArrayBuffer.scala:47)
> at
> scala.collection.GenSeqLike$class.prefixLength(GenSeqLike.scala:92)
> at scala.collection.AbstractSeq.prefixLength(Seq.scala:40)
> at
> scala.collection.IndexedSeqOptimized$class.exists(IndexedSeqOptimized.scala:40)
> at
> scala.collection.mutable.ArrayBuffer.exists(ArrayBuffer.scala:47)
> at
> org.apache.spark.sql.catalyst.expressions.CreateArray.dataType(complexTypeCreator.scala:40)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.dataType(namedExpressions.scala:136)
> at
> org.apache.spark.sql.catalyst.expressions.NamedExpression$class.typeSuffix(namedExpressions.scala:84)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.typeSuffix(namedExpressions.scala:120)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.toString(namedExpressions.scala:155)
> at
> org.apache.spark.sql.catalyst.expressions.Expression.prettyString(Expression.scala:207)
> at org.apache.spark.sql.Column.toString(Column.scala:138)
> at java.lang.String.valueOf(String.java:2994)
> at scala.runtime.ScalaRunTime$.stringOf(ScalaRunTime.scala:331)
> at
> scala.runtime.ScalaRunTime$.replStringOf(ScalaRunTime.scala:337)
> at .<init>(<console>:20)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
> at
> org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
>
> On Tue, Feb 9, 2016 at 4:23 PM Ted Yu <yuzhih...@gmail.com> wrote:
>
>> Do you mind pastebin'ning code snippet and exception one more time - I
>> couldn't see them in your original email.
>>
>> Which Spark release are you using ?
>>
>> On Tue, Feb 9, 2016 at 11:55 AM, rakeshchalasani <vnit.rak...@gmail.com>
>> wrote:
>>
>>> Hi All:
>>>
>>> I am getting an "UnsupportedOperationException" when trying to alias an
>>> array column. The issue seems to be at "CreateArray" expression ->
>>> dataType,
>>> which checks for nullability of its children, while aliasing is creating
>>> a
>>> PrettyAttribute that does not implement nullability.
>>>
>>> Below is an example to reproduce it.
>>>
>>>
>>>
>>> this throws the following exception:
>>>
>>>
>>>
>>>
>>> --
>>> View this message in context:
>>> http://apache-spark-developers-list.1001551.n3.nabble.com/Error-aliasing-an-array-column-tp16288.html
>>> Sent from the Apache Spark Developers List mailing list archive at
>>> Nabble.com.
>>>
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>>>
>>>
>>
