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https://issues.apache.org/jira/browse/SOLR-2462?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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James Dyer updated SOLR-2462:
-----------------------------

    Attachment: SOLR-2462.patch

This is along the lines of what I initially intended on doing but didn't have 
time back when I first submitted this.

I felt particularly guilty in gathering all these RankedSpellPossibility 
objects in cases where the user isn't even using new functionality from 
SOLR-2010 (upgrade from 1.4 then collate becomes more expensive!).  

Thank you for another opportunity to absolve my guilt.

I ran these tests and they all pass:  SpellPossibilityIteratorTest, 
SpellCheckCollatorTest, SpellCheckComponentTest & 
DistributedSpellCheckComponentTest

> Using spellcheck.collate can result in extremely high memory usage
> ------------------------------------------------------------------
>
>                 Key: SOLR-2462
>                 URL: https://issues.apache.org/jira/browse/SOLR-2462
>             Project: Solr
>          Issue Type: Bug
>          Components: spellchecker
>    Affects Versions: 3.1
>            Reporter: James Dyer
>            Priority: Critical
>             Fix For: 3.1.1, 4.0
>
>         Attachments: SOLR-2462.patch, SOLR-2462.patch, SOLR-2462.patch, 
> SOLR-2462.patch, SOLR-2462_3_1.patch
>
>
> When using "spellcheck.collate", class SpellPossibilityIterator creates a 
> ranked list of *every* possible correction combination.  But if returning 
> several corrections per term, and if several words are misspelled, the 
> existing algorithm uses a huge amount of memory.
> This bug was introduced with SOLR-2010.  However, it is triggered anytime 
> "spellcheck.collate" is used.  It is not necessary to use any features that 
> were added with SOLR-2010.
> We were in Production with Solr for 1 1/2 days and this bug started taking 
> our Solr servers down with "infinite" GC loops.  It was pretty easy for this 
> to happen as occasionally a user will accidently paste the URL into the 
> Search box on our app.  This URL results in a search with ~12 misspelled 
> words.  We have "spellcheck.count" set to 15. 

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