Petri Kärkäs created SPARK-11757:
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Summary: Incorrect join output for joining two dataframes loaded
from Parquet format
Key: SPARK-11757
URL: https://issues.apache.org/jira/browse/SPARK-11757
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 1.5.0
Environment: Python 2.7, Spark 1.5.0, Amazon linux ami
https://aws.amazon.com/amazon-linux-ami/2015.03-release-notes/
Reporter: Petri Kärkäs
Reading in dataframes from Parquet format in s3, and executing a join between
them fails when evoked by column name. Works correctly if a join condition is
used instead:
sqlContext = SQLContext(sc)
a = sqlContext.read.parquet('s3://path-to-data-a/')
b = sqlContext.read.parquet('s3://path-to-data-b/')
# results 0 rows
c = a.join(b, on='id', how='left_outer')
c.count()
# correct result
d = a.join(b, a['id']==b['id'], how='left_outer')
d.count()
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