HBql's announcement is exciting to us. Having just briefly browsed the
www.hbql.com code samples, we now see an extremely familiar API that
gives us a basis to connect our applications to Hadoop data sources.
That HBql's API is familiar is the key.
We are most keen to learn/exercise HBql's implementation specifics (e.g.
of java.sql.Connection, etc.) and its ideal potential to bridge us
via HBase to native Hadoop data operations (MapReduce) and native
Hadoop data operands (HDFS).
Hadoop "big data" capability w/o having to learn native Hadoop APIs?
Great job HBql!
-----Original Message-----
From: Paul Ambrose [mailto:[email protected]]
Sent: Tuesday, January 05, 2010 3:49 PM
To: [email protected]
Subject: [Announce] HBql
Hi,
I have been working on an abstraction layer for HBase that I hope
HBase users will find helpful.
Highlights include:
* A dialect of SQL for HBase (usable in the console, scripts, and code)
* JDBC bindings
* JDBC-like bindings that support annotated objects and generics
* Query Executors that make threaded result reading simple
* Simplified filter writing for server and/or client
* Index support
HBql is a work in progress and I am open to feedback and suggestions.
I am still working on the docs, so the examples and javadocs are pretty
lame.
Have a look at: http://www.hbql.com
Cheers,
Paul
