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Posted to issues@spark.apache.org by "Aravind B (JIRA)" <ji...@apache.org> on 2015/12/24 15:55:49 UTC
[jira] [Created] (SPARK-12520) Python API dataframe join returns
wrong results on outer join
Aravind B created SPARK-12520:
----------------------------------
Summary: Python API dataframe join returns wrong results on outer join
Key: SPARK-12520
URL: https://issues.apache.org/jira/browse/SPARK-12520
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 1.4.1
Reporter: Aravind B
Consider the following dataframes:
"""
left_table:
+------------+------------+---------+--------------+
|head_id_left|tail_id_left|weight|joining_column|
+------------+------------+---------+--------------+
| 1| 2| 1| 1~2|
+------------+------------+---------+--------------+
right_table:
+-------------+-------------+--------------+
|head_id_right|tail_id_right|joining_column|
+-------------+-------------+--------------+
+-------------+-------------+--------------+
"""
The following code returns an empty dataframe:
"""
joined_table = left_table.join(right_table, "joining_column", "outer")
"""
joined_table has zero rows.
However:
"""
joined_table = left_table.join(right_table, left_table.joining_column == right_table.joining_column, "outer")
"""
returns the correct answer with one row.
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