[
https://issues.apache.org/jira/browse/DRILL-4743?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15382838#comment-15382838
]
ASF GitHub Bot commented on DRILL-4743:
---------------------------------------
Github user sudheeshkatkam commented on a diff in the pull request:
https://github.com/apache/drill/pull/534#discussion_r71207858
--- Diff:
exec/java-exec/src/main/java/org/apache/drill/exec/planner/physical/PlannerSettings.java
---
@@ -212,6 +219,14 @@ public static long getInitialPlanningMemorySize() {
return INITIAL_OFF_HEAP_ALLOCATION_IN_BYTES;
}
+ public double getFilterMinSelectivityEstimateFactor() {
+ return
options.getOption(FILTER_MIN_SELECTIVITY_ESTIMATE_FACTOR.getOptionName()).float_val;
--- End diff --
Make the option validators above typed:
`public static final FloatValidator FILTER_MIN_SELECTIVITY_ESTIMATE_FACTOR
...`
and change this line to:
`return options.getOption(FILTER_MIN_SELECTIVITY_ESTIMATE_FACTOR);`
Same for the other option.
> HashJoin's not fully parallelized in query plan
> -----------------------------------------------
>
> Key: DRILL-4743
> URL: https://issues.apache.org/jira/browse/DRILL-4743
> Project: Apache Drill
> Issue Type: Bug
> Affects Versions: 1.5.0
> Reporter: Gautam Kumar Parai
> Assignee: Gautam Kumar Parai
> Labels: doc-impacting
>
> The underlying problem is filter selectivity under-estimate for a query with
> complicated predicates e.g. deeply nested and/or predicates. This leads to
> under parallelization of the major fragment doing the join.
> To really resolve this problem we need table/column statistics to correctly
> estimate the selectivity. However, in the absence of statistics OR even when
> existing statistics are insufficient to get a correct estimate of selectivity
> this will serve as a workaround.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
