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https://issues.apache.org/jira/browse/SOLR-2378?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13016384#comment-13016384
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Robert Muir commented on SOLR-2378:
-----------------------------------
I am referring to build-time, not runtime here.
run-time can handle supplementary characters wrong and I wouldn't object to
committing it,
but currently if someone has terms > 0xFFFF in their index it will preventing
the FST from
being built at all and suggesting will not work? (as i think the FST will throw
exc?)
> FST-based Lookup (suggestions) for prefix matches.
> --------------------------------------------------
>
> Key: SOLR-2378
> URL: https://issues.apache.org/jira/browse/SOLR-2378
> Project: Solr
> Issue Type: New Feature
> Components: spellchecker
> Reporter: Dawid Weiss
> Assignee: Dawid Weiss
> Labels: lookup, prefix
> Fix For: 4.0
>
> Attachments: SOLR-2378.patch
>
>
> Implement a subclass of Lookup based on finite state automata/ transducers
> (Lucene FST package). This issue is for implementing a relatively basic
> prefix matcher, we will handle infixes and other types of input matches
> gradually. Impl. phases:
> - -write a DFA based suggester effectively identical to ternary tree based
> solution right now,-
> - -baseline benchmark against tern. tree (memory consumption, rebuilding
> speed, indexing speed; reuse Andrzej's benchmark code)-
> - -modify DFA to encode term weights directly in the automaton (optimize for
> onlyMostPopular case)-
> - -benchmark again-
> - add infix suggestion support with prefix matches boosted higher (?)
> - benchmark again
> - modify the tutorial on the wiki [http://wiki.apache.org/solr/Suggester]
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