Can you provide some source code? I am not sure I understood the problem . If you want to do a preprocessing at the JDBC datasource then you can write your own data source. Additionally you may want to modify the sql statement to extract the data in the right format and push some preprocessing to the database.
> On 7 Mar 2017, at 12:04, El-Hassan Wanas <elhassan.wa...@gmail.com> wrote: > > Hello, > > There is, as usual, a big table lying on some JDBC data source. I am doing > some data processing on that data from Spark, however, in order to speed up > my analysis, I use reduced encodings and minimize the general size of the > data before processing. > > Spark has been doing a great job at generating the proper workflows that do > that preprocessing for me, but it seems to generate those workflows for > execution on the Spark Cluster. The issue with that is the large transfer > cost is still incurred. > > Is there any way to force Spark to run the preprocessing on the JDBC data > source and get the prepared output DataFrame instead? > > Thanks, > > Wanas > > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
