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Posted to commits@pirk.apache.org by sm...@apache.org on 2016/09/02 19:59:50 UTC
incubator-pirk git commit: Trivial Fix: include Storm in list of
supported backends, this closes apache/incubator-pirk#86
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 <sm...@apache.org>
Authored: Fri Sep 2 15:59:43 2016 -0400
Committer: smarthi <sm...@apache.org>
Committed: Fri Sep 2 15:59:43 2016 -0400
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README.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/incubator-pirk/blob/e7ba3e70/README.md
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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 \u2014 Pirk pom file for Hadoop/YARN and Spark platforms
+* pom.xml \u2014 Pirk pom file for Hadoop/YARN, Storm and Spark platforms
* pom-with-benchmarks.xml \u2014 Pirk pom file for running Paillier benchmarking testing
Pirk may be built with a specific pom file via \u2018mvn package -f \u2019
-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.