Apache Drill dialect for SQLAlchemy.
The primary purpose of this is to have a working dialect for Apache Drill that can be used with Apache Superset.
https://superset.incubator.apache.org
Obviously, a working, robust dialect for Drill serves other purposes as well, but most of the iterative planning for this REPO will be based on working with Superset. Other changes will gladly be incorporated, as long as it doesn't hurt Superset integration.
Installation
Installing the dialect is straightforward. Simply:
python3 -m pip install git+https://github.com/JohnOmernik/sqlalchemy-drill.git
Usage
To use Drill with SQLAlchemy you will need to craft a connection string in the format below:
drill+sadrill://<username>:<password>@<host>:<port>/<storage_plugin>?use_ssl=True
To connect to Drill running on a local machine running in embedded mode you can use the following connection string.
drill+sadrill://localhost:8047/dfs?use_ssl=False
Usage with JDBC
Connecting to Drill via JDBC is a little more complicated than a local installation and complete instructions can be found on the Drill documentation here: https://drill.apache.org/docs/using-the-jdbc-driver/.
In order to configure SQLAlchemy to work with Drill via JDBC you must:
- Download the latest JDBC Driver available here: http://apache.osuosl.org/drill/
- Copy this driver to your classpath or other known path
- Set an environment variable called
DRILL_JDBC_DRIVER_PATH
to the full path of your driver location - Set an environment variable called
DRILL_JDBC_JAR_NAME
to the name of the.jar
file for the Drill driver.
Additionally, you will need to install JayDeBeApi
as well as jPype version 0.6.3.
These modules are listed as optional dependencies and will not be installed by the default installer.
If the JDBC driver is not available, the dialect will throw errors when trying to connect.
drill+jdbc://<username>:<passsword>@<host>:<port>
For a simple installation, this might look like:
drill+jdbc://admin:password@localhost:31010
Usage with Superset
For a complete tutorial on how to use Superset with Drill, read the tutorial on @cgivre's blog available here: http://thedataist.com/visualize-anything-with-superset-and-drill/.
Current Status/Development Approach
Currently we can connect to drill, and issue queries for most visualizations and get results. We also enumerate table columns for some times of tables. Here are things that are working as some larger issues to work out. (Individual issues are tracked under issues)
- Connection to Drill via the databases tab in Superset succeeds
- You can do basic queries for most types of viz/tables
- There may be issues with advanced queries/joins. As you learn about new ones, please track in issues
Many thanks
to drillpy and pydrill for code used in creating the drilldbapi.py
code for connecting!
Docker
Get the superset repo and then in
FROM supersetimage(not sure it's name)
RUN python3 -m pip install git+https://github.com/JohnOmernik/sqlalchemy-drill.git
CMD["superset"]