Sandeep Pal created SPARK-9282: ---------------------------------- 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 -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org