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https://issues.apache.org/jira/browse/DRILL-3180?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14679843#comment-14679843
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Magnus Pierre edited comment on DRILL-3180 at 8/10/15 9:24 AM:
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Thanks Jacques, looks really good and far easier than I was able to produce.
The biggest reason I did not go the Calcite route was 1) Since I couldn't
figure how to do it, and your code proves how it is done (which is great). 2) A
statement in the Calcite docs (which I can not find right now) that pushdown
was not yet enabled / working which made me to hesitate. I hope that was just a
misunderstanding from my part. I will mark my code as obsolete and close down
any enhancements of the old code line.
was (Author: magnusp):
Thanks Jacques, looks really good and far easier than I was able to produce.
The biggest reason I did not go the Calcite route was 1) Since I couldn't
figure how to do it, and your code proves how it is done (which is great) but
also a statement in the Calcite docs (which I can not find right now) that
pushdown was not yet enabled / working which made me to hesitate. I hope that
was just a misunderstanding from my part. I will mark my code as obsolete and
close down any enhancements of the old code line.
> Apache Drill JDBC storage plugin to query rdbms systems such as MySQL and
> Netezza from Apache Drill
> ---------------------------------------------------------------------------------------------------
>
> Key: DRILL-3180
> URL: https://issues.apache.org/jira/browse/DRILL-3180
> Project: Apache Drill
> Issue Type: New Feature
> Components: Storage - Other
> Affects Versions: 1.0.0
> Reporter: Magnus Pierre
> Assignee: Jacques Nadeau
> Labels: Drill, JDBC, plugin
> Fix For: 1.2.0
>
> Attachments: pom.xml, storage-mpjdbc.zip
>
> Original Estimate: 1m
> Remaining Estimate: 1m
>
> I have developed the base code for a JDBC storage-plugin for Apache Drill.
> The code is primitive but consitutes a good starting point for further
> coding. Today it provides primitive support for SELECT against RDBMS with
> JDBC.
> The goal is to provide complete SELECT support against RDBMS with push down
> capabilities.
> Currently the code is using standard JDBC classes.
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