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https://issues.apache.org/jira/browse/SOLR-357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ryan McKinley resolved SOLR-357.
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Resolution: Invalid
Yes, this is a subset of EdgeNGramFilter.
For more discussion, see:
http://www.nabble.com/%27suggest%27-query-sorting-tf4450280.html
Hoss points out that KeywordTokenizerFactory may be a more appropriate
tokenizer. If you do need to complete internal tokens, use two fields.
I found this works well:
<fieldType name="prefix_full" class="solr.TextField" positionIncrementGap="1">
<analyzer type="index">
<tokenizer class="solr.KeywordTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory" />
<filter class="solr.EdgeNGramFilterFactory" minGramSize="1"
maxGramSize="20"/>
</analyzer>
<analyzer type="query">
<tokenizer class="solr.KeywordTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory" />
</analyzer>
</fieldType>
<fieldType name="prefix_token" class="solr.TextField" positionIncrementGap="1">
<analyzer type="index">
<tokenizer class="solr.WhitespaceTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory" />
<filter class="solr.EdgeNGramFilterFactory" minGramSize="1"
maxGramSize="20"/>
</analyzer>
<analyzer type="query">
<tokenizer class="solr.WhitespaceTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory" />
</analyzer>
</fieldType>
...
<field name="prefix1" type="prefix_full" indexed="true" stored="false"/>
<field name="prefix2" type="prefix_token" indexed="true" stored="false"/>
...
<copyField source="name" dest="prefix1"/>
<copyField source="name" dest="prefix2"/>
If you query both fields, it boosts the first names that start with the query
over the others:
http://localhost:8983/solr/select?fl=name,id&q=prefix1:ca%20prefix2:ca
> Prefixing Filter Factory -- for 'suggest'
> ------------------------------------------
>
> Key: SOLR-357
> URL: https://issues.apache.org/jira/browse/SOLR-357
> Project: Solr
> Issue Type: New Feature
> Reporter: Ryan McKinley
> Attachments: SOLR-357-PrefixingFilter.patch
>
>
> The PrefixingFilter builds a token for each prefix in the original token. It
> is appropriate for a type-ahead suggest style function.
> Given the token "solr", this will build a token for "s","so","sol","solr".
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