Thanks Goden.
Ive created this morning the two Jira Tickets.
JDBC
https://issues.apache.org/jira/browse/HAWQ-1108
SOLR
https://issues.apache.org/jira/browse/HAWQ-1109
Devin ive cc’d you into the JIRA’s I hope you see this mail.
Thanks
Mike
From: Goden Yao
Date: Friday,
Michael Andre Pearce (IG) created HAWQ-1108:
---
Summary: Add JDBC PXF Plugin
Key: HAWQ-1108
URL: https://issues.apache.org/jira/browse/HAWQ-1108
Project: Apache HAWQ
Issue Type: New
Michael Andre Pearce (IG) created HAWQ-1109:
---
Summary: Add SOLR PXF Plugin
Key: HAWQ-1109
URL: https://issues.apache.org/jira/browse/HAWQ-1109
Project: Apache HAWQ
Issue Type: New
GitHub user janebeckman opened a pull request:
https://github.com/apache/incubator-hawq-docs/pull/22
Feature/start init
Removed section on initializing hawq, rearranged some content, made some
changes to hawq init .
You can merge this pull request into a Git repository by running:
Strong +1 on this.
Performance is one of the reasons why our customers choose HAWQ, the
existing leading performance might come from C implementation and Postgres
implementation I think. Hawq will definitely focus on some performance
improvement but frankly speaking plan/roadmap should be shaped
I'm also in strong agreement here.
Codegen is a logical next step on my mind. There are multiple inherent
benefits, ranging from vectorised processing to runtime GPU offload
support. I think data locality and PXF performance are important although
in pure cloud deployments, compute is, above
Oleksandr Diachenko created HAWQ-1110:
-
Summary: Optimize LIKE operator on storage layer
Key: HAWQ-1110
URL: https://issues.apache.org/jira/browse/HAWQ-1110
Project: Apache HAWQ
Issue
Michael, thanks for creating the Jiras. Two things need to happen before it
can be considered for a formal review/merge.
1. Create a pull request against https://github.com/apache/incubator-hawq
2. Remove references to name of author in the code and comments which are
not in english.
3.
Hi All,
As now HAWQ is being caught up with by some competitors in terms of real use
performance, and in some cases be out performed, most notably Spark 2.0 some
queries we can perform faster since project tungsten.
Obviously HAWQ still has the SQL completeness advantage but this also is a
Vineet Goel created HAWQ-:
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Summary: Support for IN() operation in PXF
Key: HAWQ-
URL: https://issues.apache.org/jira/browse/HAWQ-
Project: Apache HAWQ
Issue Type: New Feature
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