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https://issues.apache.org/jira/browse/PHOENIX-7258?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17824612#comment-17824612
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ASF GitHub Bot commented on PHOENIX-7258:
-----------------------------------------
virajjasani commented on code in PR #1851:
URL: https://github.com/apache/phoenix/pull/1851#discussion_r1517163722
##########
phoenix-core-client/src/main/java/org/apache/phoenix/optimize/QueryOptimizer.java:
##########
@@ -247,6 +248,10 @@ private List<QueryPlan>
getApplicablePlansForSingleFlatQuery(QueryPlan dataPlan,
}
plans.add(0, hintedPlan);
}
+ if (dataPlan.getContext().getScanRanges().isPointLookup()
+ && stopAtBestPlan && dataPlan.isApplicable()) {
+ return Collections.<QueryPlan> singletonList(dataPlan);
+ }
Review Comment:
I was thinking about the same.
It seems that we might have more plans in the list of plans than just data
plan, so if we return single plan here as data plan, it would help cover this
case: Even if the hinted index is not applicable, and the data table has point
lookup, we return best plan as point lookup on data table.
> Query Optimizer should pick Index hint even for point lookup queries
> --------------------------------------------------------------------
>
> Key: PHOENIX-7258
> URL: https://issues.apache.org/jira/browse/PHOENIX-7258
> Project: Phoenix
> Issue Type: Improvement
> Affects Versions: 5.2.0, 5.1.3
> Reporter: Viraj Jasani
> Assignee: Sanjeet Malhotra
> Priority: Major
>
> For better performance, user can create covered indexes such that the indexed
> columns are same as composite primary key of the data table, but with
> different order. For instance, create data table with columns PK1, PK2, PK3,
> C1, C2 columns with primary key being PK1, Pk2, PK3. In order to get better
> performance from HBase block caching, if the data with same PK3 values are
> going to reside as close to each other as possible, we can create an index on
> PK3, PK2, PK1 and also include columns C1 and C2.
> For point lookups on the data table, it might still be helpful to query index
> table depending on the usecase. We should allow using index hint to query the
> index table for point lookup.
> When the query optimizer identifies that the query is point lookup for the
> data table and if the "stop at best plan" is true, then it immediately
> returns without checking the hint. We should check for hint and if applicable
> index based hint plan is identified, use it.
>
> Assuming getHintedPlanIfApplicable() retrieves hinted plan, it can look
> something like:
> {code:java}
> if (dataPlan.getContext().getScanRanges().isPointLookup() && stopAtBestPlan
> && dataPlan.isApplicable()) {
> if (indexes.isEmpty() || select.getHint().getHint(Hint.INDEX) == null) {
> return Collections.singletonList(dataPlan);
> }
> QueryPlan hintedPlan = getHintedPlanIfApplicable(dataPlan, statement,
> targetColumns,
> parallelIteratorFactory, select, indexes);
> if (hintedPlan != null) {
> PTable index = hintedPlan.getTableRef().getTable();
> if (hintedPlan.isApplicable() && (index.getIndexWhere() == null
> || isPartialIndexUsable(select, dataPlan, index))) {
> return Collections.singletonList(hintedPlan);
> }
> }
> return Collections.singletonList(dataPlan);
> } {code}
> We still need to be optimal i.e. if the hinted index plan is not applicable
> or useful, we still need to immediately return the data plan of point lookup.
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