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https://issues.apache.org/jira/browse/DRILL-3180?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Olav Jordens updated DRILL-3180:
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Comment: was deleted
(was: Another issue I am having in 1.2.0 (running local): When I run
SELECT TABLE_SCHEMA, TABLE_NAME, TABLE_TYPE
FROM INFORMATION_SCHEMA.`TABLES`
ORDER BY TABLE_NAME DESC;
I see my storage plugin listed with two 'Tables' NZ_MAT_VALUE_TABLE and
NZ_MAT_CONF, but none of the tables in Netezza. I have tried to do a select *
... limit 20 from the tables I know should be there, but each time I get a
Table not found error. Also if I issue this query:
select * from netezzaplugin.`NZ_MAT_CONF`;
I get:
org.apache.drill.common.exceptions.UserRemoteException: DATA_READ ERROR: The
JDBC storage plugin failed while trying setup the SQL query. sql SELECT * FROM
"NZM"."NZ_MAT_CONF" plugin netezzaplugin Fragment 0:0
So I guess my question is: How should I query my tables in Netezza?
Thanks for your support - the potential for Drill looks really good to me once
I get my head around it. I would ultimately like to query across Netezza and
Hadoop. Is this geared towards the MapR distribution, or should all
functionality be available in any case?
Olav)
> 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: patch.diff, 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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