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Posted to announce@apache.org by Oleg Kalnichevski <ol...@apache.org> on 2011/05/24 20:25:20 UTC

[ANNOUNCEMENT] HttpComponents HttpAsyncClient 4.0-alpha2 Released

Apache HttpComponents project is pleased to announce the second ALPHA
release of HttpAsyncClient 4.0. This version comes with a number of
important improvements and enhancements. As of this version
HttpAsyncClient fully supports HTTP state management (cookies) and HTTP
authentication (basic, digest, NTLM, spnego/kerberos). Connection
management classes have been thoroughly reworked and improved. This
version also improves support for zero copy file upload / download
operations.

HttpAsyncClient is NOT meant to replace or supersede Apache HttpClient.
It is a complementary library to Apache HttpClient intended for special
cases where ability to handle a great number of concurrent connections
is more important than performance in terms of a raw data throughput or
for those users who prefer event-driven APIs.

The HttpAsyncClient 4.0 API is still considered experimental and is
expected to change in the course of the ALPHA development phase. This
release is primarily intended for early adopters who may be interested
in contributing to the project and in helping shape the new API.

-------------------
Download -
<http://hc.apache.org/downloads.cgi>

Release notes -
<http://www.apache.org/dist/httpcomponents/httpasyncclient/RELEASE_NOTES.txt>

HttpComponents site -
<http://hc.apache.org/>

-------------------

About Apache HttpAsyncClient

Although the java.net package provides basic functionality for accessing
resources via HTTP, it doesn't provide the full flexibility or
functionality needed by many applications. HttpAsyncClient seeks to fill
this void by providing an efficient, up-to-date, and feature-rich
package with an event-driven programming interface based on a
non-blocking I/O model.

HttpAsyncClient is NOT meant to replace or supersede Apache HttpClient.
It is a complementary library to Apache HttpClient intended for special
cases where ability to handle a great number of concurrent connections
is more important than performance in terms of a raw data throughput.


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