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https://issues.apache.org/jira/browse/DRILL-5216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16793747#comment-16793747
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Bernd Lunghamer commented on DRILL-5216:
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JdbcStoragePlugin per default enumerates * all catalog
 * all schemata 

of the underlying JDBC connection no matter which catalog and schema the user 
is connected to a connection level. That way we are experiencing queries that 
take 2 second in oracle without metadata discovery on a connection level to 
take 3 minutes because all schema information is requested in every query. An 
we have a weak network link (roundtrip latencies).

I patched JdbcStorage Plugin with a configuration option to filter schemata and 
catalog to those of the underlying connection getSchema() vs. getSchemas(), 
getCatalog() vs. getCatalog(). Would there be any interest do merge this 
upstream?

> Make use of FetchSize in JDBC storage plugin
> --------------------------------------------
>
>                 Key: DRILL-5216
>                 URL: https://issues.apache.org/jira/browse/DRILL-5216
>             Project: Apache Drill
>          Issue Type: Improvement
>          Components: Storage - JDBC
>    Affects Versions: 1.9.0
>         Environment: drill-embedded on ubuntu client - connected to a remote 
> Oracle
>            Reporter: Thomas Bünger
>            Priority: Minor
>
> For remotely located database servers it usually is preferred to increase the 
> fetch size for selected or all queries to limit number of roundtrips.
> This could either be controlled via plugin config or on a query basis via 
> comments.
> One has also to take metadata retrieval into account, as in larger scenarios 
> - as in mine - the Oracle cluster hosts thousands of schemas and the small 
> fetchsize results in hundres of individual roundtrips.
> In the end every Drill query against this storage takes at least a minute 
> justs for querying the metadata.
> Analysis so far for metadata-retrieving SQL calls:
> So far, Drill is using the JDBC metadata API 
> {{java.sql.DatabaseMetaData.getSchemas()}} inside JdbcStoragePlugin.java and 
> could set an appropriate fetchsize before iterating the result set.
> I've tested this locally and improved latency a lot, but am note sure how 
> this affects other non-oracle JDBC drivers.
> The other (potentially long) query is the table enumeration.
> From what I've seen is Drill not calling the JDBC driver directly, but goes 
> through apache.calcite calling {{getTableNames()}} which under the hood calls 
> {{java.sql.DatabaseMetaData.getTables()}} and also contributes to slow 
> metadata retrieval due to small default fetch size.



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