Re: lower&upperBound not working/spark 1.3

2015-06-14 Thread Sathish Kumaran Vairavelu
Hi I am also facing with same issue. Is it possible to view actual query passed to the database. Has anyone tried that? Also, what if we don't give upper and lower bound partition. Would we end up in data skew ? Thanks Sathish On Sun, Jun 14, 2015 at 5:02 AM Sujeevan wrote: > I also thought th

Re: lower&upperBound not working/spark 1.3

2015-06-14 Thread Sujeevan
I also thought that it is an issue. After investigating it further, found out this. https://issues.apache.org/jira/browse/SPARK-6800 Here is the updated documentation of *org.apache.spark.sql.jdbc.JDBCRelation#columnPartition* method "Notice that lowerBound and upperBound are just used to decide

Re: lower&upperBound not working/spark 1.3

2015-03-22 Thread Ted Yu
I went over JDBCRelation#columnPartition() but didn't find obvious clue (you can add more logging to confirm that the partitions were generated correctly). Looks like the issue may be somewhere else. Cheers On Sun, Mar 22, 2015 at 12:47 PM, Marek Wiewiorka wrote: > ...I even tried setting uppe

Re: lower&upperBound not working/spark 1.3

2015-03-22 Thread Marek Wiewiorka
...I even tried setting upper/lower bounds to the same value like 1 or 10 with the same result. cs_id is a column of the cardinality ~5*10^6 So this is not the case here. Regards, Marek 2015-03-22 20:30 GMT+01:00 Ted Yu : > From javadoc of JDBCRelation#columnPartition(): >* Given a partition

Re: lower&upperBound not working/spark 1.3

2015-03-22 Thread Ted Yu
>From javadoc of JDBCRelation#columnPartition(): * Given a partitioning schematic (a column of integral type, a number of * partitions, and upper and lower bounds on the column's value), generate In your example, 1 and 1 are for the value of cs_id column. Looks like all the values in th