Hi, According to Spark documentation the data sharing between two different Spark contexts is not possible.
So I just wonder if it is possible to first run a job that loads some data from DB into Schema RDDs, then cache it and next register it as a temp table (let's say Table_1), now I would like to open a JDBC connection (assuming that I have setup JDBC server on the same cluster, so it is connected to same Master) and perform a SQL query on Table_1 . Is the above scenario feasible in Spark? or simply these two tasks belong to two different Spark contexts and therefore not runnable? best, /Shahab
