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 <[email protected]> Authored: Tue Jun 28 14:58:35 2016 +0800 Committer: Ming LI <[email protected]> Committed: Tue Jun 28 14:58:35 2016 +0800 ---------------------------------------------------------------------- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/incubator-hawq/blob/5d4c8d00/README.md ---------------------------------------------------------------------- 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://[email protected]) | -[User Mailing List](mailto://[email protected]) | +[Devolper Mailing List](mailto:[email protected]) | +[User Mailing List](mailto:[email protected]) | [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:
