I reran with master and looks like it is fixed.
2014-06-12 1:26 GMT+08:00 Michael Armbrust <mich...@databricks.com>: > I'd try rerunning with master. It is likely you are running into > SPARK-1994 <https://issues.apache.org/jira/browse/SPARK-1994>. > > Michael > > > On Wed, Jun 11, 2014 at 3:01 AM, Pei-Lun Lee <pl...@appier.com> wrote: > >> Hi, >> >> I am using spark 1.0.0 and found in spark sql some queries use GROUP BY >> give weird results. >> To reproduce, type the following commands in spark-shell connecting to a >> standalone server: >> >> case class Foo(k: String, v: Int) >> val sqlContext = new org.apache.spark.sql.SQLContext(sc) >> import sqlContext._ >> val rows = List.fill(100)(Foo("a", 1)) ++ List.fill(200)(Foo("b", 2)) ++ >> List.fill(300)(Foo("c", 3)) >> sc.makeRDD(rows).registerAsTable("foo") >> sql("select k,count(*) from foo group by k").collect >> >> the result will be something random like: >> res1: Array[org.apache.spark.sql.Row] = Array([b,180], [3,18], [a,75], >> [c,270], [4,56], [1,1]) >> >> and if I run the same query again, the new result will be correct: >> sql("select k,count(*) from foo group by k").collect >> res2: Array[org.apache.spark.sql.Row] = Array([b,200], [a,100], [c,300]) >> >> Should I file a bug? >> >> -- >> Pei-Lun Lee >> > >
