You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@kylin.apache.org by sh...@apache.org on 2016/09/14 08:50:22 UTC
[35/50] [abbrv] kylin git commit: Add Travis build
Add Travis build
Signed-off-by: lidongsjtu <li...@apache.org>
Project: http://git-wip-us.apache.org/repos/asf/kylin/repo
Commit: http://git-wip-us.apache.org/repos/asf/kylin/commit/dfa30485
Tree: http://git-wip-us.apache.org/repos/asf/kylin/tree/dfa30485
Diff: http://git-wip-us.apache.org/repos/asf/kylin/diff/dfa30485
Branch: refs/heads/KYLIN-1726
Commit: dfa304850f780ce9a546a8f60447ce3febb1c23d
Parents: ad5844b
Author: Yiming Liu <li...@gmail.com>
Authored: Tue Aug 16 09:29:09 2016 +0800
Committer: lidongsjtu <li...@apache.org>
Committed: Tue Sep 13 22:47:23 2016 +0800
----------------------------------------------------------------------
.travis.yml | 16 ++++++++++++++++
README.md | 3 +++
2 files changed, 19 insertions(+)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/kylin/blob/dfa30485/.travis.yml
----------------------------------------------------------------------
diff --git a/.travis.yml b/.travis.yml
new file mode 100644
index 0000000..7f4b7de
--- /dev/null
+++ b/.travis.yml
@@ -0,0 +1,16 @@
+language: java
+
+jdk:
+ - oraclejdk7
+
+#notification:
+# email:
+# recipients:
+# - XXX@apache.org
+# on_success: always
+# on_failure: always
+
+#branches:
+# only:
+# - master
+
http://git-wip-us.apache.org/repos/asf/kylin/blob/dfa30485/README.md
----------------------------------------------------------------------
diff --git a/README.md b/README.md
index 0c136ef..e72bd56 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,9 @@
Apache Kylin
============
+[](https://travis-ci.org/apache/kylin)
+[](https://www.apache.org/licenses/LICENSE-2.0.html)
+
> Extreme OLAP Engine for Big Data
Apache Kylin is an open source Distributed Analytics Engine, contributed by eBay Inc., provides SQL interface and multi-dimensional analysis (OLAP) on Hadoop supporting extremely large datasets.