Repository: incubator-pirk Updated Branches: refs/heads/master c11b99aa9 -> e7ba3e709
Trivial Fix: include Storm in list of supported backends, this closes apache/incubator-pirk#86 Project: http://git-wip-us.apache.org/repos/asf/incubator-pirk/repo Commit: http://git-wip-us.apache.org/repos/asf/incubator-pirk/commit/e7ba3e70 Tree: http://git-wip-us.apache.org/repos/asf/incubator-pirk/tree/e7ba3e70 Diff: http://git-wip-us.apache.org/repos/asf/incubator-pirk/diff/e7ba3e70 Branch: refs/heads/master Commit: e7ba3e70974e1770629a12b9e2b66e7e317ec24a Parents: c11b99a Author: smarthi <[email protected]> Authored: Fri Sep 2 15:59:43 2016 -0400 Committer: smarthi <[email protected]> Committed: Fri Sep 2 15:59:43 2016 -0400 ---------------------------------------------------------------------- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/incubator-pirk/blob/e7ba3e70/README.md ---------------------------------------------------------------------- diff --git a/README.md b/README.md index 25f2061..fa96788 100644 --- a/README.md +++ b/README.md @@ -36,12 +36,12 @@ Pirk is written in Java and currently uses a Maven build system with a single le For convenience, the following POM files are included: -* pom.xml â Pirk pom file for Hadoop/YARN and Spark platforms +* pom.xml â Pirk pom file for Hadoop/YARN, Storm and Spark platforms * pom-with-benchmarks.xml â Pirk pom file for running Paillier benchmarking testing Pirk may be built with a specific pom file via âmvn package -f â -Dependencies can be found in the pom.xml file and include [Apache Hadoop](http://hadoop.apache.org/), [Apache Spark](http://spark.apache.org/), and [Elasticsearch](https://github.com/elastic/elasticsearch). Currently, Pirk may be utilized in a distributed Hadoop/MapReduce or Spark framework as well as in standalone mode. +Dependencies can be found in the pom.xml file and include [Apache Hadoop](http://hadoop.apache.org/), [Apache Spark](http://spark.apache.org/), [Apache Storm](http://storm.apache.org)and [Elasticsearch](https://github.com/elastic/elasticsearch). Currently, Pirk may be utilized in a distributed Hadoop/MapReduce, Storm or Spark framework as well as in standalone mode. If you are a User, please check out the [For Users](http://pirk.incubator.apache.org/for_users) section of the Pirk website.
