Repository: incubator-hivemall
Updated Branches:
  refs/heads/master fad2941fd -> 94229779c


Fixed a failing test on Spark 1.6 test


Project: http://git-wip-us.apache.org/repos/asf/incubator-hivemall/repo
Commit: 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall/commit/94229779
Tree: http://git-wip-us.apache.org/repos/asf/incubator-hivemall/tree/94229779
Diff: http://git-wip-us.apache.org/repos/asf/incubator-hivemall/diff/94229779

Branch: refs/heads/master
Commit: 94229779cc9619d2c44ddc623641b5f88e0e97fb
Parents: fad2941
Author: myui <[email protected]>
Authored: Tue Dec 13 18:22:29 2016 +0900
Committer: myui <[email protected]>
Committed: Tue Dec 13 18:22:29 2016 +0900

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 .../scala/org/apache/spark/sql/hive/HivemallOpsSuite.scala     | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/94229779/spark/spark-1.6/src/test/scala/org/apache/spark/sql/hive/HivemallOpsSuite.scala
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diff --git 
a/spark/spark-1.6/src/test/scala/org/apache/spark/sql/hive/HivemallOpsSuite.scala
 
b/spark/spark-1.6/src/test/scala/org/apache/spark/sql/hive/HivemallOpsSuite.scala
index 4c77f18..4ef14f6 100644
--- 
a/spark/spark-1.6/src/test/scala/org/apache/spark/sql/hive/HivemallOpsSuite.scala
+++ 
b/spark/spark-1.6/src/test/scala/org/apache/spark/sql/hive/HivemallOpsSuite.scala
@@ -367,12 +367,14 @@ final class HivemallOpsSuite extends HivemallQueryTest {
 
   test("tools.array - select_k_best") {
     import hiveContext.implicits._
+    import org.apache.spark.sql.functions._
 
     val data = Seq(Seq(0, 1, 3), Seq(2, 4, 1), Seq(5, 4, 9))
-    val df = data.map(d => (d, Seq(3, 1, 2), 2)).toDF("features", 
"importance_list", "k")
+    val df = data.map(d => (d, Seq(3, 1, 2))).toDF("features", 
"importance_list")
+    val k = 2
 
     // if use checkAnswer here, fail for some reason, maybe type? but it's 
okay on spark-2.0
-    assert(df.select(select_k_best(df("features"), df("importance_list"), 
df("k"))).collect ===
+    assert(df.select(select_k_best(df("features"), df("importance_list"), 
lit(k))).collect ===
       data.map(s => Row(Seq(s(0).toDouble, s(2).toDouble))))
   }
 

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