Varadharajan created SPARK-13393:
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Summary: Column mismatch issue in left_outer join using Spark
DataFrame
Key: SPARK-13393
URL: https://issues.apache.org/jira/browse/SPARK-13393
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.5.0
Reporter: Varadharajan
Consider the below snippet:
{code:title=test.scala|borderStyle=solid}
class Person(id: Int, name: String)
val df = sc.parallelize(List(
Person(1, "varadha"),
Person(2, "nagaraj")
)).toDF
val varadha = df.filter("id = 1")
val errorDF = df.join(varadha, df("id") === varadha("id"),
"left_outer").select(df("id"), varadha("id") as "varadha_id")
val nagaraj = df.filter("id = 2").select(df("id") as "n_id")
val correctDF = df.join(nagaraj, df("id") === nagaraj("n_id"),
"left_outer").select(df("id"), nagaraj("n_id") as "nagaraj_id")
{code}
The `errorDF` dataframe, after the left join is messed up and shows as below:
| id|varadha_id|
| 1| 1|
| 2| 2 (*This should've been null*)|
whereas correctDF has the correct output after the left join:
| id|nagaraj_id|
| 1| null|
| 2| 2|
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