Thanks for reporting back. I was pretty confused trying to reproduce the
error :)
On Thu, Jul 24, 2014 at 1:09 PM, Stephen Boesch <java...@gmail.com> wrote:
> OK I did find my error. The missing step:
>
> mvn install
>
> I should have republished (mvn install) all of the other modules .
>
> The mvn -pl will rely on the modules locally published and so the latest
> code that I had git pull'ed was not being used (except the sql/core module
> code).
>
> The tests are passing after having properly performed the mvn install
> before running with the mvn -pl sql/core.
>
>
>
>
> 2014-07-24 12:04 GMT-07:00 Stephen Boesch <java...@gmail.com>:
>
> >
> > Are other developers seeing the following error for the recently added
> > substr() method? If not, any ideas why the following invocation of tests
> > would be failing for me - i.e. how the given invocation would need to be
> > tweaked?
> >
> > mvn -Pyarn -Pcdh5 test -pl sql/core
> > -DwildcardSuites=org.apache.spark.sql.SQLQuerySuite
> >
> > (note cdh5 is a custom profile for cdh5.0.0 but should not be affecting
> > these results)
> >
> > Only the test("SPARK-2407 Added Parser of SQL SUBSTR()") fails: all of
> the
> > other 33 tests pass.
> >
> > SQLQuerySuite:
> > - SPARK-2041 column name equals tablename
> > - SPARK-2407 Added Parser of SQL SUBSTR() *** FAILED ***
> > Exception thrown while executing query:
> > == Logical Plan ==
> > java.lang.UnsupportedOperationException
> > == Optimized Logical Plan ==
> > java.lang.UnsupportedOperationException
> > == Physical Plan ==
> > java.lang.UnsupportedOperationException
> > == Exception ==
> > java.lang.UnsupportedOperationException
> > java.lang.UnsupportedOperationException
> > at
> >
> org.apache.spark.sql.catalyst.analysis.EmptyFunctionRegistry$.lookupFunction(FunctionRegistry.scala:33)
> > at
> >
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$5$$anonfun$applyOrElse$3.applyOrElse(Analyzer.scala:131)
> > at
> >
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$5$$anonfun$applyOrElse$3.applyOrElse(Analyzer.scala:129)
> > at
> >
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:165)
> > at
> >
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:183)
> > at scala.collection.Iterator$$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.trees.TreeNode.transformChildrenDown(TreeNode.scala:212)
> > at
> >
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:168)
> > at org.apache.spark.sql.catalyst.plans.QueryPlan.org
> >
> $apache$spark$sql$catalyst$plans$QueryPlan$$transformExpressionDown$1(QueryPlan.scala:52)
> > at
> >
> org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$1$$anonfun$apply$1.apply(QueryPlan.scala:66)
> > at
> >
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> > at
> >
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> > at scala.collection.immutable.List.foreach(List.scala:318)
> > at
> scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> > at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> > at
> >
>
