Apache Phoenix is a great addon to extent SQL on top of Apache HBase, the non relational distributed data store. On top of the HBase Browser, now the Editor provides a more common syntax for querying the data. Note that being a key/value store, the SQL can have different idioms, and the Editor interface still requires some polishing to fully support all the SQL UX capabilities of Hue.
In this first blog post about Phoenix, let’s follow Phoenix’s 15-minute tutorial then query the US_POPULATION table via the Editor:
Hue supports JDBC or SqlAlchemy interfaces as described in the SQL Connector documentation and we pick SqlAlchemy:
On the Hue host:
./build/env/bin/pip install pyPhoenix
Then in the desktop/conf/hue.ini config file section:
[notebook] [[interpreters]] [[[phoenix]]] name = phoenix interface=sqlalchemy options='{"url": "phoenix://sql-phoenix.gethue.com:8765/"}'
Then start the Phoenix queryserver:
phoenix-queryserver ... 19/07/24 20:55:13 INFO util.log: Logging initialized @1563ms 19/07/24 20:55:13 INFO server.Server: jetty-9.2.z-SNAPSHOT 19/07/24 20:55:14 INFO server.ServerConnector: Started ServerConnector@662b4c69{HTTP/1.1}{0.0.0.0:8765} 19/07/24 20:55:14 INFO server.Server: Started @1793ms 19/07/24 20:55:14 INFO server.HttpServer: Service listening on port 8765.
And we are ready to query HBase!
select * from us_population limit 10
Notes
1 Existing HBase tables need to be mapped to views
0: jdbc:phoenix:> CREATE VIEW if not exists "analytics_demo_view" ( pk VARCHAR PRIMARY KEY, "hours"."01-Total" VARCHAR ); Error: ERROR 505 (42000): Table is read only. (state=42000,code=505) --> 0: jdbc:phoenix:> CREATE Table if not exists "analytics_demo" ( pk VARCHAR PRIMARY KEY, "hours"."01-Total" VARCHAR );
2 Tables are seeing as uppercase by Phoenix. When getting started, it is simpler to just create the table via Phoenix.
Error: ERROR 1012 (42M03): Table undefined. tableName=ANALYTICS_DEMO (state=42M03,code=1012) --> 0: jdbc:phoenix:> select * from "analytics_demo" where pk = "domain.0" limit 5;
3 Phoenix follows Apache Calcite. Feel free to help improve the SQL autocomplete support for it.
4 Skip the semicolon ‘;’
5 Not tested with security
6 List of some of the known issues are listed on the Phoenix SqlAlchemy connector page
Feel free to read more about Apache Phoenix capabilities in this Cloudera blog post announcing Phoenix in CDH.