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https://issues.apache.org/jira/browse/IGNITE-7482?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Zbyszek B updated IGNITE-7482:
------------------------------
Description:
In org.apache.ignite.internal.processors.query.h2.opt.GridLuceneIndex#query in
line 285 one executes query:
docs = searcher.search(query, Integer.MAX_VALUE) what causes all data to be
fetched and deserialised regardless the size of the cursor.
TopDocs searchAfter(final ScoreDoc after, Query query, int numHits) is not
used to implement cursor advancing. This causes the issues with 10 mln.
entities when (depending
on term) execution takes way above 7 sec. to retrieve first row, hence making
this impossible to use TextQuery to implement auto-complete.
See
[http://apache-ignite-users.70518.x6.nabble.com/Cursor-in-TextQuery-first-hasNex-is-slow-td19265.html]
for more details.
was:
In org.apache.ignite.internal.processors.query.h2.opt.GridLuceneIndex#query
in line 285 one executes query
docs = searcher.search(query, Integer.MAX_VALUE) what causes all data to be
fetched and deserialised regardless the size of the cursor.
TopDocs searchAfter(final ScoreDoc after, Query query, int numHits) is not used
to implement cursor advancing. This causes the issues with 10 mln. entities
when (depending
on term) execution takes way above 7 sec. to retrieve first row, hence making
this impossible to use TextQuery to implement auto-complete.
See
[http://apache-ignite-users.70518.x6.nabble.com/Cursor-in-TextQuery-first-hasNex-is-slow-td19265.html]
for more details.
> Cursor in TextQuery fetches all data in first call to next() or hasNext()
> -------------------------------------------------------------------------
>
> Key: IGNITE-7482
> URL: https://issues.apache.org/jira/browse/IGNITE-7482
> Project: Ignite
> Issue Type: Improvement
> Components: general
> Affects Versions: 2.3
> Reporter: Zbyszek B
> Priority: Major
>
> In org.apache.ignite.internal.processors.query.h2.opt.GridLuceneIndex#query
> in line 285 one executes query:
> docs = searcher.search(query, Integer.MAX_VALUE) what causes all data to be
> fetched and deserialised regardless the size of the cursor.
> TopDocs searchAfter(final ScoreDoc after, Query query, int numHits) is not
> used to implement cursor advancing. This causes the issues with 10 mln.
> entities when (depending
> on term) execution takes way above 7 sec. to retrieve first row, hence
> making this impossible to use TextQuery to implement auto-complete.
> See
> [http://apache-ignite-users.70518.x6.nabble.com/Cursor-in-TextQuery-first-hasNex-is-slow-td19265.html]
> for more details.
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