GitHub user tmyklebu opened a pull request:
https://github.com/apache/spark/pull/4261
A JDBC driver for Spark SQL.
This pull request contains a Spark SQL data source that can pull data from,
and can put data into, a JDBC database.
I have tested both read and write support with H2, MySQL, and Postgres. It
would surprise me if both read and write support worked flawlessly
out-of-the-box for any other database; different databases have different names
for different JDBC data types and different meanings for SQL types with the
same name. However, this code is designed (see `DriverQuirks.scala`) to make
it *relatively* painless to add support for another database by augmenting the
type mapping contained in this PR.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/tmyklebu/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/4261.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #4261
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commit 176bb9841718eed25a2cfc354299276ccca0e5e7
Author: Tor Myklebust <[email protected]>
Date: 2015-01-29T03:29:10Z
Add test deps for JDBC support.
commit a09eeac34c6e3632895ac5a7ef1664804cb832b7
Author: Tor Myklebust <[email protected]>
Date: 2015-01-29T03:29:53Z
JDBC data source for Spark SQL.
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