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Posted to issues@spark.apache.org by "Sandeep Pal (JIRA)" <ji...@apache.org> on 2015/07/23 19:58:05 UTC
[jira] [Created] (SPARK-9282) Join on Spark DataFrame with multiple
columns
Sandeep Pal created SPARK-9282:
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Summary: Join on Spark DataFrame with multiple columns
Key: SPARK-9282
URL: https://issues.apache.org/jira/browse/SPARK-9282
Project: Spark
Issue Type: Bug
Components: Spark Core, Spark Shell, SQL
Affects Versions: 1.3.0
Environment: CDH 5.0 on CentOS6
Reporter: Sandeep Pal
Filter on dataframe does not work if we have more than one column inside the filter. Nonetheless, it works on an RDD.
Following is the example:
df1.show()
age coolid depid empname
23 7 1 sandeep
21 8 2 john
24 9 1 cena
45 12 3 bob
20 7 4 tanay
12 8 5 gaurav
df1.filter(df1.age > 21 and df1.age < 45).show(10)
23 7 1 sandeep
21 8 2 john
24 9 1 cena
20 7 4 tanay
12 8 5 gaurav
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