[
https://issues.apache.org/jira/browse/FLINK-5859?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16167213#comment-16167213
]
ASF GitHub Bot commented on FLINK-5859:
---------------------------------------
Github user KurtYoung commented on a diff in the pull request:
https://github.com/apache/flink/pull/4667#discussion_r139048337
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/sources/FilterableTableSource.scala
---
@@ -55,4 +55,9 @@ trait FilterableTableSource[T] {
*/
def isFilterPushedDown: Boolean
+ /**
+ * @param relBuilder Builder for relational expressions.
+ */
+ def setRelBuilder(relBuilder: RelBuilder): Unit
--- End diff --
Can you move this method to PartitionableTableSource?
> support partition pruning on Table API & SQL
> --------------------------------------------
>
> Key: FLINK-5859
> URL: https://issues.apache.org/jira/browse/FLINK-5859
> Project: Flink
> Issue Type: New Feature
> Components: Table API & SQL
> Reporter: godfrey he
> Assignee: godfrey he
>
> Many data sources are partitionable storage, e.g. HDFS, Druid. And many
> queries just need to read a small subset of the total data. We can use
> partition information to prune or skip over files irrelevant to the user’s
> queries. Both query optimization time and execution time can be reduced
> obviously, especially for a large partitioned table.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
