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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/05/20 07:11:12 UTC
[jira] [Created] (SPARK-15441) dataset outer join seems to return
incorrect result
Reynold Xin created SPARK-15441:
-----------------------------------
Summary: dataset outer join seems to return incorrect result
Key: SPARK-15441
URL: https://issues.apache.org/jira/browse/SPARK-15441
Project: Spark
Issue Type: Bug
Components: sq;
Reporter: Reynold Xin
Priority: Critical
See notebook
https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/6122906529858466/2836020637783173/5382278320999420/latest.html
{code}
import org.apache.spark.sql.functions
val left = List(("a", 1), ("a", 2), ("b", 3), ("c", 4)).toDS()
val right = List(("a", "x"), ("b", "y"), ("d", "z")).toDS()
// The last row _1 should be null, rather than (null, -1)
left.toDF("k", "v").as[(String, Int)].alias("left")
.joinWith(right.toDF("k", "u").as[(String, String)].alias("right"), functions.col("left.k") === functions.col("right.k"), "right_outer")
.show()
{code}
The returned result currently is
{code}
+---------+-----+
| _1| _2|
+---------+-----+
| (a,2)|(a,x)|
| (a,1)|(a,x)|
| (b,3)|(b,y)|
|(null,-1)|(d,z)|
+---------+-----+
{code}
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