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From cjcjame...@apache.org
Subject [77/80] [abbrv] incubator-hawq git commit: HAWQ-868. Add some useful links in README.md
Date Wed, 29 Jun 2016 01:24:10 GMT
HAWQ-868. Add some useful links in README.md


Project: http://git-wip-us.apache.org/repos/asf/incubator-hawq/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-hawq/commit/5a862270
Tree: http://git-wip-us.apache.org/repos/asf/incubator-hawq/tree/5a862270
Diff: http://git-wip-us.apache.org/repos/asf/incubator-hawq/diff/5a862270

Branch: refs/heads/HAWQ-543
Commit: 5a8622707749cfe98c61188ab212a61c83778998
Parents: 10f778c
Author: Ming LI <mli@pivotal.io>
Authored: Tue Jun 28 12:24:53 2016 +0800
Committer: Ming LI <mli@pivotal.io>
Committed: Tue Jun 28 12:24:53 2016 +0800

----------------------------------------------------------------------
 README.md | 10 ++++++++++
 1 file changed, 10 insertions(+)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-hawq/blob/5a862270/README.md
----------------------------------------------------------------------
diff --git a/README.md b/README.md
index 22b690c..6f23e8b 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,13 @@
+![HAWQ](http://hawq.incubator.apache.org/images/logo-hawq.png)
+
+[Website](http://hawq.incubator.apache.org/) |
+[Wiki](https://cwiki.apache.org/confluence/display/HAWQ/Apache+HAWQ+Home) |
+[Documentation](http://hdb.docs.pivotal.io/) |
+[Devolper Mailing List](mailto://dev@hawq.incubator.apache.org) |
+[User Mailing List](mailto://user@hawq.incubator.apache.org) |
+[Q&A Collections](https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=65144284)
|
+[Open Defect](https://issues.apache.org/jira/browse/HAWQ) |
+
 # Apache HAWQ
 ---
 Apache HAWQ is a Hadoop native SQL query engine that combines the key technological advantages
of MPP database with the scalability and convenience of Hadoop. HAWQ reads data from and writes
data to HDFS natively. HAWQ delivers industry-leading performance and linear scalability.
It provides users the tools to confidently and successfully interact with petabyte range data
sets. HAWQ provides users with a complete, standards compliant SQL interface. More specifically,
HAWQ has the following features:


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