Oleg,

I'm curious how the new stuff compares to ThreadSafeClientConnManager.  Is
there a new or different preferred methodology as of 4.2?

Thanks,
Dan

On Fri, Aug 19, 2011 at 11:25 AM, Oleg Kalnichevski <[email protected]>wrote:

> The Apache HttpComponents project is pleased to announce the release of
> HttpComponents HttpCore 4.2-alpha1. The most notable feature included in
> this release is support for connection pools of blocking and
> non-blocking HTTP connections. Connection pool components are based on
> mature code migrated from HttpClient and HttpAsyncClient modules but
> have a slightly different API that makes a better use of Java standard
> concurrent primitives.
>
> Support for connection pools in HttpCore is expected to make development
> of client and proxy HTTPservices easier and less error prone.
>
> Please note that new features included in this release are still
> considered experimental and their API may change in the future ALPHA
> releases. This release also marks the end of support for Java 1.3. As of
> this release HttpCore requires Java 1.5 for all its components. Several
> classes and methods deprecated between versions 4.0-beta1 and 4.0 GA
> (more than two years ago) have been removed in this release.
>
> Download -
> <http://hc.apache.org/downloads.cgi>
> Release notes -
> <http://www.apache.org/dist/httpcomponents/httpcore/RELEASE_NOTES.txt>
> HttpComponents site -
> <http://hc.apache.org/>
>
> About HttpComponents Core -
> HttpCore is a set of low level HTTP transport components that can be
> used to build custom client and server side HTTP services with a minimal
> footprint. HttpCore supports two I/O models: a blocking I/O model based
> on the classic Java I/O and a non-blocking, event driven I/O model based
> on Java NIO.  The blocking I/O model may be more appropriate for data
> intensive, low latency scenarios, whereas the non-blocking model may be
> more appropriate for high latency scenarios where raw data throughput is
> less important than the ability to handle thousands of simultaneous HTTP
> connections in a resource efficient manner.
>
>
>
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