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https://issues.apache.org/jira/browse/LUCENE-6339?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Areek Zillur updated LUCENE-6339:
---------------------------------
    Attachment: LUCENE-6339.patch

Thanks [~mikemccand] and [~simonw] for the feedback!
{quote}
When I try to "ant test" with the patch on current 5.x some things are
angry
{quote}
This is fixed.
Hmm interestingly enough those errors do not show up for me, using java8.

Updated Patch:
* removed {{private boolean isReservedInputCharacter(char c)}} and moved 
reserved input char check to {{toAutomaton(CharSequence key)}}
* use {{CodecUtil.checkIndexHeader}} && {{CodecUtil.writeIndexHeader}} for all 
files in custom postings format
* use {{if (success== false)}} instead of {{if(!success)}}
* proper sync for loading FSTs concurrently
* added {{TopSuggestDocs.merge}} method
* make sure {{CompletionFieldsConsumer#close()}} and 
{{CompletionFieldsProducer#close()}} properly handle closing resources
* removed {{SegmentLookup}} interface; use {{NRTSuggester}} directly
* fixed weight check to not allow negative weights; allow long values
* removed {{FSTBuilder}} and made {{NRTSuggesterBuilder}} & 
{{CompletionTokenStream}} package-private

Still TODO:
* consolidate {{AutomatonUtil}} and {{TokenStreamToAutomaton}}
* make {{CompletionAnalyzer}} immutable
* remove use of extra {{InputStreamDataInput}} in {{CompletionTermWriter#parse}}
* test loading multiple FSTs concurrently
* more unit tests

> [suggest] Near real time Document Suggester
> -------------------------------------------
>
>                 Key: LUCENE-6339
>                 URL: https://issues.apache.org/jira/browse/LUCENE-6339
>             Project: Lucene - Core
>          Issue Type: New Feature
>          Components: core/search
>    Affects Versions: 5.0
>            Reporter: Areek Zillur
>            Assignee: Areek Zillur
>             Fix For: 5.0
>
>         Attachments: LUCENE-6339.patch, LUCENE-6339.patch
>
>
> The idea is to index documents with one or more *SuggestField*(s) and be able 
> to suggest documents with a *SuggestField* value that matches a given key.
> A SuggestField can be assigned a numeric weight to be used to score the 
> suggestion at query time.
> Document suggestion can be done on an indexed *SuggestField*. The document 
> suggester can filter out deleted documents in near real-time. The suggester 
> can filter out documents based on a Filter (note: may change to a non-scoring 
> query?) at query time.
> A custom postings format (CompletionPostingsFormat) is used to index 
> SuggestField(s) and perform document suggestions.
> h4. Usage
> {code:java}
>   // hook up custom postings format
>   // indexAnalyzer for SuggestField
>   Analyzer analyzer = ...
>   IndexWriterConfig config = new IndexWriterConfig(analyzer);
>   Codec codec = new Lucene50Codec() {
>     @Override
>     public PostingsFormat getPostingsFormatForField(String field) {
>       if (isSuggestField(field)) {
>         return new 
> CompletionPostingsFormat(super.getPostingsFormatForField(field));
>       }
>       return super.getPostingsFormatForField(field);
>     }
>   };
>   config.setCodec(codec);
>   IndexWriter writer = new IndexWriter(dir, config);
>   // index some documents with suggestions
>   Document doc = new Document();
>   doc.add(new SuggestField("suggest_title", "title1", 2));
>   doc.add(new SuggestField("suggest_name", "name1", 3));
>   writer.addDocument(doc)
>   ...
>   // open an nrt reader for the directory
>   DirectoryReader reader = DirectoryReader.open(writer, false);
>   // SuggestIndexSearcher is a thin wrapper over IndexSearcher
>   // queryAnalyzer will be used to analyze the query string
>   SuggestIndexSearcher indexSearcher = new SuggestIndexSearcher(reader, 
> queryAnalyzer);
>   
>   // suggest 10 documents for "titl" on "suggest_title" field
>   TopSuggestDocs suggest = indexSearcher.suggest("suggest_title", "titl", 10);
> {code}
> h4. Indexing
> Index analyzer set through *IndexWriterConfig*
> {code:java}
> SuggestField(String name, String value, long weight) 
> {code}
> h4. Query
> Query analyzer set through *SuggestIndexSearcher*.
> Hits are collected in descending order of the suggestion's weight 
> {code:java}
> // full options for TopSuggestDocs (TopDocs)
> TopSuggestDocs suggest(String field, CharSequence key, int num, Filter filter)
> // full options for Collector
> // note: only collects does not score
> void suggest(String field, CharSequence key, int maxNumPerLeaf, Filter 
> filter, Collector collector)
> {code}
> h4. Analyzer
> *CompletionAnalyzer* can be used instead to wrap another analyzer to tune 
> suggest field only parameters. 
> {code:java}
> CompletionAnalyzer completionAnalyzer = new CompletionAnalyzer(analyzer);
> completionAnalyzer.setPreserveSep(..)
> completionAnalyzer.setPreservePositionsIncrements(..)
> completionAnalyzer.setMaxGraphExpansions(..)
> {code}



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