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Posted to commits@hawq.apache.org by ml...@apache.org on 2016/06/28 06:58:51 UTC
incubator-hawq git commit: HAWQ-868. mailing list format error in
README.md
Repository: incubator-hawq
Updated Branches:
refs/heads/master 5a8622707 -> 5d4c8d005
HAWQ-868. mailing list format error 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/5d4c8d00
Tree: http://git-wip-us.apache.org/repos/asf/incubator-hawq/tree/5d4c8d00
Diff: http://git-wip-us.apache.org/repos/asf/incubator-hawq/diff/5d4c8d00
Branch: refs/heads/master
Commit: 5d4c8d005ac207d229ce792de9b7c43000e27912
Parents: 5a86227
Author: Ming LI <ml...@pivotal.io>
Authored: Tue Jun 28 14:58:35 2016 +0800
Committer: Ming LI <ml...@pivotal.io>
Committed: Tue Jun 28 14:58:35 2016 +0800
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README.md | 5 +++--
1 file changed, 3 insertions(+), 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/incubator-hawq/blob/5d4c8d00/README.md
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diff --git a/README.md b/README.md
index 6f23e8b..c3ad91c 100644
--- a/README.md
+++ b/README.md
@@ -3,11 +3,12 @@
[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) |
+[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: