The Apache Cassandra project has traditionally not focused on client side. Rather than modifying the scope of the project and jeopardizing the current driver ecosystem we've preferred to open source it this way. Not that this driver's license is Apache License 2 and it will remain so, making it easy to integrate it in most open source projects with no license issues.
On Tue, Nov 20, 2012 at 1:19 AM, Timmy Turner <firstname.lastname@example.org> wrote:Why is this being released as a separate project, instead of being bundled up with Cassandra? Is it not a part of Cassandra?2012/11/19 John Sanda <email@example.com>
Fantastic! As for the object mapping API, has there been any discussion/consideration of http://www.hibernate.org/subprojects/ogm.html?--
On Mon, Nov 19, 2012 at 1:50 PM, Sylvain Lebresne <firstname.lastname@example.org> wrote:Everyone,We've just open-sourced a new Java driver we have been working on here atDataStax. This driver is CQL3 only and is built to use the new binary protocolthat will be introduced with Cassandra 1.2. It will thus only work withCassandra 1.2 onwards. Currently, it means that testing it requires1.2.0-beta2. This is also alpha software at this point. You are welcome to tryand play with it and we would very much welcome feedback, but be sure thatbreak, it will. The driver is accessible at:Today we're open-sourcing the core part of this driver. This main goal of thiscore module is to handle connections to the Cassandra cluster with all thefeatures that one would expect. The currently supported features are:- Asynchronous: the driver uses the new CQL binary protocol asynchronouscapabilities.- Nodes discovery.- Configurable load balancing/routing.- Transparent fail-over.- C* tracing handling.- Convenient schema access.- Configurable retry policy.This core module provides a simple low-level API (that works directly withquery strings). We plan to release a higher-level, thin object mapping APIbased on top of this core shortly.Please refer to the project README for more information.--The DataStax Team