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Posted to dev@lucene.apache.org by "Alexandre Rafalovitch (JIRA)" <ji...@apache.org> on 2018/07/05 17:27:00 UTC
[jira] [Closed] (SOLR-12084) ShingleFilter cause threads consume
all available memory
[ https://issues.apache.org/jira/browse/SOLR-12084?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alexandre Rafalovitch closed SOLR-12084.
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> ShingleFilter cause threads consume all available memory
> --------------------------------------------------------
>
> Key: SOLR-12084
> URL: https://issues.apache.org/jira/browse/SOLR-12084
> Project: Solr
> Issue Type: Bug
> Security Level: Public(Default Security Level. Issues are Public)
> Components: Schema and Analysis
> Affects Versions: 6.5, 6.5.1, 7.0.1
> Reporter: Tanapol Nearunchorn
> Priority: Major
>
> When putting ShingleFilter on query analyzer and after some specific query patterns go through Solr, it causes all of handlers thread to hold a large amount of SpanNearQuery objects and consume all available memory.
> My query analyzer looks like this:
> {code:java}
> <analyzer type="query">
> <tokenizer class="solr.StandardTokenizerFactory" />
> <filter class="solr.ASCIIFoldingFilterFactory" preserveOriginal="false" />
> <filter class="solr.WordDelimiterGraphFilterFactory" preserveOriginal="0" />
> <filter class="solr.LowerCaseFilterFactory" />
> <filter class="solr.ShingleFilterFactory" tokenSeparator="" maxShingleSize="3" />
> </analyzer>{code}
> After I tested with queries, it seems that the number of terms passing to ShingleFilter directly effect Solr memory usage. If ShingleFilter got 10-15 terms as input, it takes much memory to process the request, so multiply with concurrent make problem goes worse.
> Not sure how to handle this problem, maybe we can put an upper limit number of terms produced by ShingleFilter or should we optimize something?
> Thank you.
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