[maven-release-plugin] prepare for next development iteration
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Apache Streams Examples (incubating) Licensed under Apache License 2.0 - http://www.apache.org/licenses/LICENSE-2.0


Apache Streams Examples (incubating) contains community-supported example applications built on Apache Streams (incubating).

Apache Streams is a lightweight (yet scalable) server for ActivityStreams. The role of Apache Streams is to provide a central point of aggregation, filtering and querying for Activities that have been submitted by disparate systems. Apache Streams also intends to include a mechanism for intelligent filtering and recommendation to reduce the noise to end users.

Release Notes

Getting Started

Please visit the project website for the latest information: http://streams.incubator.apache.org/

Along with the developer mailing list archive: http://mail-archives.apache.org/mod_mbox/streams-dev/

System Requirements

You need a platform that supports Java SE 7 or later.

Building and running

To build from source code:

  • Requirements: Sources compilation require Java SE 7 or higher. The project is built with Apache Maven 3+ (suggested is 3.2.1). You need to download and install Maven 3 from: http://maven.apache.org/

  • The Streams Examples project itself (this one) depends on the separate Streams project which contains the source code and poms for Apache Streams. As streams-project is already published to the Apache Releases repository, there is no need to check it out manually and build it locally yourself, unless you choose to checkout a SNAPSHOT branch.

    If so needed, incubator-streams can be checked out from: http://git-wip-us.apache.org/repos/asf/incubator-streams.git

    After check out, cd into incubator-streams and invoke maven to install it using: $mvn install

  • To build all of the Streams examples, invoke maven in the root directory: $mvn install

  • To build and install a docker image containing a specific example, change to that example's directory then: $mvn -Pdocker clean package docker:build

    This will only work if you have a working docker installation.