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Merge pull request #19920 from cbuescher/remove-SuggestUtil 

Remove SuggestUtil helper class
This commit is contained in:
Christoph Büscher 2016-08-10 19:22:22 +02:00 committed by GitHub
parent acc50d5817 d11521318d
commit 563bf0154c
15 changed files with 192 additions and 254 deletions
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35
core/src/main/java/org/elasticsearch/search/suggest/DirectSpellcheckerSettings.java
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@ -21,8 +21,13 @@ package org.elasticsearch.search.suggest;
import org.apache.lucene.search.spell.DirectSpellChecker; import org.apache.lucene.search.spell.DirectSpellChecker;
import org.apache.lucene.search.spell.StringDistance; import org.apache.lucene.search.spell.StringDistance;
import org.apache.lucene.search.spell.SuggestMode; import org.apache.lucene.search.spell.SuggestMode;
import org.apache.lucene.search.spell.SuggestWord;
import org.apache.lucene.search.spell.SuggestWordFrequencyComparator;
import org.apache.lucene.search.spell.SuggestWordQueue;
import org.apache.lucene.util.automaton.LevenshteinAutomata; import org.apache.lucene.util.automaton.LevenshteinAutomata;
import java.util.Comparator;
public class DirectSpellcheckerSettings { public class DirectSpellcheckerSettings {
// NB: If this changes, make sure to change the default in TermBuilderSuggester // NB: If this changes, make sure to change the default in TermBuilderSuggester
@ -49,6 +54,9 @@ public class DirectSpellcheckerSettings {
private int minWordLength = DEFAULT_MIN_WORD_LENGTH; private int minWordLength = DEFAULT_MIN_WORD_LENGTH;
private float minDocFreq = DEFAULT_MIN_DOC_FREQ; private float minDocFreq = DEFAULT_MIN_DOC_FREQ;
private static final Comparator<SuggestWord> LUCENE_FREQUENCY = new SuggestWordFrequencyComparator();
private static final Comparator<SuggestWord> SCORE_COMPARATOR = SuggestWordQueue.DEFAULT_COMPARATOR;
public SuggestMode suggestMode() { public SuggestMode suggestMode() {
return suggestMode; return suggestMode;
} }
@ -129,6 +137,33 @@ public class DirectSpellcheckerSettings {
this.minDocFreq = minDocFreq; this.minDocFreq = minDocFreq;
} }
public DirectSpellChecker createDirectSpellChecker() {
DirectSpellChecker directSpellChecker = new DirectSpellChecker();
directSpellChecker.setAccuracy(accuracy());
Comparator<SuggestWord> comparator;
switch (sort()) {
case SCORE:
comparator = SCORE_COMPARATOR;
break;
case FREQUENCY:
comparator = LUCENE_FREQUENCY;
break;
default:
throw new IllegalArgumentException("Illegal suggest sort: " + sort());
}
directSpellChecker.setComparator(comparator);
directSpellChecker.setDistance(stringDistance());
directSpellChecker.setMaxEdits(maxEdits());
directSpellChecker.setMaxInspections(maxInspections());
directSpellChecker.setMaxQueryFrequency(maxTermFreq());
directSpellChecker.setMinPrefix(prefixLength());
directSpellChecker.setMinQueryLength(minWordLength());
directSpellChecker.setThresholdFrequency(minDocFreq());
directSpellChecker.setLowerCaseTerms(false);
return directSpellChecker;
}
@Override @Override
public String toString() { public String toString() {
return "[" + return "[" +

162
core/src/main/java/org/elasticsearch/search/suggest/SuggestUtils.java
View File

@ -1,162 +0,0 @@
/*
* Licensed to Elasticsearch under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch licenses this file to you under
* the Apache License, Version 2.0 (the "License"); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.elasticsearch.search.suggest;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
import org.apache.lucene.analysis.tokenattributes.PositionIncrementAttribute;
import org.apache.lucene.search.spell.DirectSpellChecker;
import org.apache.lucene.search.spell.SuggestWord;
import org.apache.lucene.search.spell.SuggestWordFrequencyComparator;
import org.apache.lucene.search.spell.SuggestWordQueue;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.BytesRefBuilder;
import org.apache.lucene.util.CharsRef;
import org.apache.lucene.util.CharsRefBuilder;
import org.apache.lucene.util.IOUtils;
import org.elasticsearch.common.ParseField;
import org.elasticsearch.common.io.FastCharArrayReader;
import java.io.IOException;
import java.util.Comparator;
public final class SuggestUtils {
private static final Comparator<SuggestWord> LUCENE_FREQUENCY = new SuggestWordFrequencyComparator();
private static final Comparator<SuggestWord> SCORE_COMPARATOR = SuggestWordQueue.DEFAULT_COMPARATOR;
private SuggestUtils() {
// utils!!
}
public static DirectSpellChecker getDirectSpellChecker(DirectSpellcheckerSettings suggestion) {
DirectSpellChecker directSpellChecker = new DirectSpellChecker();
directSpellChecker.setAccuracy(suggestion.accuracy());
Comparator<SuggestWord> comparator;
switch (suggestion.sort()) {
case SCORE:
comparator = SCORE_COMPARATOR;
break;
case FREQUENCY:
comparator = LUCENE_FREQUENCY;
break;
default:
throw new IllegalArgumentException("Illegal suggest sort: " + suggestion.sort());
}
directSpellChecker.setComparator(comparator);
directSpellChecker.setDistance(suggestion.stringDistance());
directSpellChecker.setMaxEdits(suggestion.maxEdits());
directSpellChecker.setMaxInspections(suggestion.maxInspections());
directSpellChecker.setMaxQueryFrequency(suggestion.maxTermFreq());
directSpellChecker.setMinPrefix(suggestion.prefixLength());
directSpellChecker.setMinQueryLength(suggestion.minWordLength());
directSpellChecker.setThresholdFrequency(suggestion.minDocFreq());
directSpellChecker.setLowerCaseTerms(false);
return directSpellChecker;
}
public static BytesRef join(BytesRef separator, BytesRefBuilder result, BytesRef... toJoin) {
result.clear();
for (int i = 0; i < toJoin.length - 1; i++) {
result.append(toJoin[i]);
result.append(separator);
}
result.append(toJoin[toJoin.length-1]);
return result.get();
}
public abstract static class TokenConsumer {
protected CharTermAttribute charTermAttr;
protected PositionIncrementAttribute posIncAttr;
protected OffsetAttribute offsetAttr;
public void reset(TokenStream stream) {
charTermAttr = stream.addAttribute(CharTermAttribute.class);
posIncAttr = stream.addAttribute(PositionIncrementAttribute.class);
offsetAttr = stream.addAttribute(OffsetAttribute.class);
}
protected BytesRef fillBytesRef(BytesRefBuilder spare) {
spare.copyChars(charTermAttr);
return spare.get();
}
public abstract void nextToken() throws IOException;
public void end() {}
}
public static int analyze(Analyzer analyzer, BytesRef toAnalyze, String field, TokenConsumer consumer, CharsRefBuilder spare) throws IOException {
spare.copyUTF8Bytes(toAnalyze);
return analyze(analyzer, spare.get(), field, consumer);
}
public static int analyze(Analyzer analyzer, CharsRef toAnalyze, String field, TokenConsumer consumer) throws IOException {
try (TokenStream ts = analyzer.tokenStream(
field, new FastCharArrayReader(toAnalyze.chars, toAnalyze.offset, toAnalyze.length))) {
return analyze(ts, consumer);
}
}
/** NOTE: this method closes the TokenStream, even on exception, which is awkward
* because really the caller who called {@link Analyzer#tokenStream} should close it,
* but when trying that there are recursion issues when we try to use the same
* TokenStream twice in the same recursion... */
public static int analyze(TokenStream stream, TokenConsumer consumer) throws IOException {
int numTokens = 0;
boolean success = false;
try {
stream.reset();
consumer.reset(stream);
while (stream.incrementToken()) {
consumer.nextToken();
numTokens++;
}
consumer.end();
success = true;
} finally {
if (success) {
stream.close();
} else {
IOUtils.closeWhileHandlingException(stream);
}
}
return numTokens;
}
public static class Fields {
public static final ParseField STRING_DISTANCE = new ParseField("string_distance");
public static final ParseField SUGGEST_MODE = new ParseField("suggest_mode");
public static final ParseField MAX_EDITS = new ParseField("max_edits");
public static final ParseField MAX_INSPECTIONS = new ParseField("max_inspections");
// TODO some of these constants are the same as MLT constants and
// could be moved to a shared class for consistency
public static final ParseField MAX_TERM_FREQ = new ParseField("max_term_freq");
public static final ParseField PREFIX_LENGTH = new ParseField("prefix_length", "prefix_len");
public static final ParseField MIN_WORD_LENGTH = new ParseField("min_word_length", "min_word_len");
public static final ParseField MIN_DOC_FREQ = new ParseField("min_doc_freq");
public static final ParseField SHARD_SIZE = new ParseField("shard_size");
public static final ParseField ANALYZER = new ParseField("analyzer");
public static final ParseField FIELD = new ParseField("field");
public static final ParseField SIZE = new ParseField("size");
public static final ParseField SORT = new ParseField("sort");
public static final ParseField ACCURACY = new ParseField("accuracy");
}
}

12
core/src/main/java/org/elasticsearch/search/suggest/completion/CompletionSuggestionBuilder.java
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@ -37,7 +37,6 @@ import org.elasticsearch.index.mapper.MappedFieldType;
import org.elasticsearch.index.mapper.MapperService; import org.elasticsearch.index.mapper.MapperService;
import org.elasticsearch.index.query.QueryParseContext; import org.elasticsearch.index.query.QueryParseContext;
import org.elasticsearch.index.query.QueryShardContext; import org.elasticsearch.index.query.QueryShardContext;
import org.elasticsearch.search.suggest.SuggestUtils;
import org.elasticsearch.search.suggest.SuggestionBuilder; import org.elasticsearch.search.suggest.SuggestionBuilder;
import org.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext; import org.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext;
import org.elasticsearch.search.suggest.completion.context.ContextMapping; import org.elasticsearch.search.suggest.completion.context.ContextMapping;
@ -48,7 +47,6 @@ import org.elasticsearch.search.suggest.completion2x.context.GeolocationContextM
import java.io.IOException; import java.io.IOException;
import java.util.ArrayList; import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap; import java.util.HashMap;
import java.util.List; import java.util.List;
import java.util.Map; import java.util.Map;
@ -90,10 +88,10 @@ public class CompletionSuggestionBuilder extends SuggestionBuilder<CompletionSug
TLP_PARSER.declareField((parser, completionSuggestionContext, context) -> TLP_PARSER.declareField((parser, completionSuggestionContext, context) ->
completionSuggestionContext.regexOptions = RegexOptions.parse(parser, context), completionSuggestionContext.regexOptions = RegexOptions.parse(parser, context),
RegexOptions.REGEX_OPTIONS, ObjectParser.ValueType.OBJECT); RegexOptions.REGEX_OPTIONS, ObjectParser.ValueType.OBJECT);
TLP_PARSER.declareString(CompletionSuggestionBuilder.InnerBuilder::field, SuggestUtils.Fields.FIELD); TLP_PARSER.declareString(CompletionSuggestionBuilder.InnerBuilder::field, FIELDNAME_FIELD);
TLP_PARSER.declareString(CompletionSuggestionBuilder.InnerBuilder::analyzer, SuggestUtils.Fields.ANALYZER); TLP_PARSER.declareString(CompletionSuggestionBuilder.InnerBuilder::analyzer, ANALYZER_FIELD);
TLP_PARSER.declareInt(CompletionSuggestionBuilder.InnerBuilder::size, SuggestUtils.Fields.SIZE); TLP_PARSER.declareInt(CompletionSuggestionBuilder.InnerBuilder::size, SIZE_FIELD);
TLP_PARSER.declareInt(CompletionSuggestionBuilder.InnerBuilder::shardSize, SuggestUtils.Fields.SHARD_SIZE); TLP_PARSER.declareInt(CompletionSuggestionBuilder.InnerBuilder::shardSize, SHARDSIZE_FIELD);
TLP_PARSER.declareField((p, v, c) -> { TLP_PARSER.declareField((p, v, c) -> {
// Copy the current structure. We will parse, once the mapping is provided // Copy the current structure. We will parse, once the mapping is provided
XContentBuilder builder = XContentFactory.contentBuilder(XContentType.JSON); XContentBuilder builder = XContentFactory.contentBuilder(XContentType.JSON);
@ -353,7 +351,7 @@ public class CompletionSuggestionBuilder extends SuggestionBuilder<CompletionSug
// now we should have field name, check and copy fields over to the suggestion builder we return // now we should have field name, check and copy fields over to the suggestion builder we return
if (field == null) { if (field == null) {
throw new ElasticsearchParseException( throw new ElasticsearchParseException(
"the required field option [" + SuggestUtils.Fields.FIELD.getPreferredName() + "] is missing"); "the required field option [" + FIELDNAME_FIELD.getPreferredName() + "] is missing");
} }
return new CompletionSuggestionBuilder(field, builder); return new CompletionSuggestionBuilder(field, builder);
} }

3
core/src/main/java/org/elasticsearch/search/suggest/phrase/Correction.java
View File

@ -20,7 +20,6 @@ package org.elasticsearch.search.suggest.phrase;
import org.apache.lucene.util.BytesRef; import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.BytesRefBuilder; import org.apache.lucene.util.BytesRefBuilder;
import org.elasticsearch.search.suggest.SuggestUtils;
import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.Candidate; import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.Candidate;
import java.util.Arrays; import java.util.Arrays;
@ -73,7 +72,7 @@ public final class Correction implements Comparable<Correction> {
len += toJoin[i].length; len += toJoin[i].length;
} }
result.grow(len); result.grow(len);
return SuggestUtils.join(separator, result, toJoin); return WordScorer.join(separator, result, toJoin);
} }
/** Lower scores sorts first; if scores are equal, /** Lower scores sorts first; if scores are equal,

71
core/src/main/java/org/elasticsearch/search/suggest/phrase/DirectCandidateGenerator.java
View File

@ -19,6 +19,10 @@
package org.elasticsearch.search.suggest.phrase; package org.elasticsearch.search.suggest.phrase;
import org.apache.lucene.analysis.Analyzer; import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
import org.apache.lucene.analysis.tokenattributes.PositionIncrementAttribute;
import org.apache.lucene.index.IndexReader; import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.MultiFields; import org.apache.lucene.index.MultiFields;
import org.apache.lucene.index.Term; import org.apache.lucene.index.Term;
@ -29,8 +33,10 @@ import org.apache.lucene.search.spell.SuggestMode;
import org.apache.lucene.search.spell.SuggestWord; import org.apache.lucene.search.spell.SuggestWord;
import org.apache.lucene.util.BytesRef; import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.BytesRefBuilder; import org.apache.lucene.util.BytesRefBuilder;
import org.apache.lucene.util.CharsRef;
import org.apache.lucene.util.CharsRefBuilder; import org.apache.lucene.util.CharsRefBuilder;
import org.elasticsearch.search.suggest.SuggestUtils; import org.apache.lucene.util.IOUtils;
import org.elasticsearch.common.io.FastCharArrayReader;
import java.io.IOException; import java.io.IOException;
import java.util.ArrayList; import java.util.ArrayList;
@ -44,7 +50,7 @@ import static java.lang.Math.log10;
import static java.lang.Math.max; import static java.lang.Math.max;
import static java.lang.Math.round; import static java.lang.Math.round;
final class DirectCandidateGenerator extends CandidateGenerator { public final class DirectCandidateGenerator extends CandidateGenerator {
private final DirectSpellChecker spellchecker; private final DirectSpellChecker spellchecker;
private final String field; private final String field;
@ -140,7 +146,7 @@ final class DirectCandidateGenerator extends CandidateGenerator {
return term; return term;
} }
final BytesRefBuilder result = byteSpare; final BytesRefBuilder result = byteSpare;
SuggestUtils.analyze(preFilter, term, field, new SuggestUtils.TokenConsumer() { analyze(preFilter, term, field, new TokenConsumer() {
@Override @Override
public void nextToken() throws IOException { public void nextToken() throws IOException {
@ -156,7 +162,7 @@ final class DirectCandidateGenerator extends CandidateGenerator {
candidates.add(candidate); candidates.add(candidate);
} else { } else {
final BytesRefBuilder result = byteSpare; final BytesRefBuilder result = byteSpare;
SuggestUtils.analyze(postFilter, candidate.term, field, new SuggestUtils.TokenConsumer() { analyze(postFilter, candidate.term, field, new TokenConsumer() {
@Override @Override
public void nextToken() throws IOException { public void nextToken() throws IOException {
this.fillBytesRef(result); this.fillBytesRef(result);
@ -189,6 +195,27 @@ final class DirectCandidateGenerator extends CandidateGenerator {
} }
public abstract static class TokenConsumer {
protected CharTermAttribute charTermAttr;
protected PositionIncrementAttribute posIncAttr;
protected OffsetAttribute offsetAttr;
public void reset(TokenStream stream) {
charTermAttr = stream.addAttribute(CharTermAttribute.class);
posIncAttr = stream.addAttribute(PositionIncrementAttribute.class);
offsetAttr = stream.addAttribute(OffsetAttribute.class);
}
protected BytesRef fillBytesRef(BytesRefBuilder spare) {
spare.copyChars(charTermAttr);
return spare.get();
}
public abstract void nextToken() throws IOException;
public void end() {}
}
public static class CandidateSet { public static class CandidateSet {
public Candidate[] candidates; public Candidate[] candidates;
public final Candidate originalTerm; public final Candidate originalTerm;
@ -283,4 +310,40 @@ final class DirectCandidateGenerator extends CandidateGenerator {
return new Candidate(term, frequency, channelScore, score(frequency, channelScore, dictSize), userInput); return new Candidate(term, frequency, channelScore, score(frequency, channelScore, dictSize), userInput);
} }
public static int analyze(Analyzer analyzer, BytesRef toAnalyze, String field, TokenConsumer consumer, CharsRefBuilder spare)
throws IOException {
spare.copyUTF8Bytes(toAnalyze);
CharsRef charsRef = spare.get();
try (TokenStream ts = analyzer.tokenStream(
field, new FastCharArrayReader(charsRef.chars, charsRef.offset, charsRef.length))) {
return analyze(ts, consumer);
}
}
/** NOTE: this method closes the TokenStream, even on exception, which is awkward
* because really the caller who called {@link Analyzer#tokenStream} should close it,
* but when trying that there are recursion issues when we try to use the same
* TokenStream twice in the same recursion... */
public static int analyze(TokenStream stream, TokenConsumer consumer) throws IOException {
int numTokens = 0;
boolean success = false;
try {
stream.reset();
consumer.reset(stream);
while (stream.incrementToken()) {
consumer.nextToken();
numTokens++;
}
consumer.end();
success = true;
} finally {
if (success) {
stream.close();
} else {
IOUtils.closeWhileHandlingException(stream);
}
}
return numTokens;
}
} }

33
core/src/main/java/org/elasticsearch/search/suggest/phrase/DirectCandidateGeneratorBuilder.java
View File

@ -51,21 +51,21 @@ public final class DirectCandidateGeneratorBuilder implements CandidateGenerator
private static final String TYPE = "direct_generator"; private static final String TYPE = "direct_generator";
static final ParseField DIRECT_GENERATOR_FIELD = new ParseField(TYPE); public static final ParseField DIRECT_GENERATOR_FIELD = new ParseField(TYPE);
static final ParseField FIELDNAME_FIELD = new ParseField("field"); public static final ParseField FIELDNAME_FIELD = new ParseField("field");
static final ParseField PREFILTER_FIELD = new ParseField("pre_filter"); public static final ParseField PREFILTER_FIELD = new ParseField("pre_filter");
static final ParseField POSTFILTER_FIELD = new ParseField("post_filter"); public static final ParseField POSTFILTER_FIELD = new ParseField("post_filter");
static final ParseField SUGGESTMODE_FIELD = new ParseField("suggest_mode"); public static final ParseField SUGGESTMODE_FIELD = new ParseField("suggest_mode");
static final ParseField MIN_DOC_FREQ_FIELD = new ParseField("min_doc_freq"); public static final ParseField MIN_DOC_FREQ_FIELD = new ParseField("min_doc_freq");
static final ParseField ACCURACY_FIELD = new ParseField("accuracy"); public static final ParseField ACCURACY_FIELD = new ParseField("accuracy");
static final ParseField SIZE_FIELD = new ParseField("size"); public static final ParseField SIZE_FIELD = new ParseField("size");
static final ParseField SORT_FIELD = new ParseField("sort"); public static final ParseField SORT_FIELD = new ParseField("sort");
static final ParseField STRING_DISTANCE_FIELD = new ParseField("string_distance"); public static final ParseField STRING_DISTANCE_FIELD = new ParseField("string_distance");
static final ParseField MAX_EDITS_FIELD = new ParseField("max_edits"); public static final ParseField MAX_EDITS_FIELD = new ParseField("max_edits");
static final ParseField MAX_INSPECTIONS_FIELD = new ParseField("max_inspections"); public static final ParseField MAX_INSPECTIONS_FIELD = new ParseField("max_inspections");
static final ParseField MAX_TERM_FREQ_FIELD = new ParseField("max_term_freq"); public static final ParseField MAX_TERM_FREQ_FIELD = new ParseField("max_term_freq");
static final ParseField PREFIX_LENGTH_FIELD = new ParseField("prefix_length"); public static final ParseField PREFIX_LENGTH_FIELD = new ParseField("prefix_length");
static final ParseField MIN_WORD_LENGTH_FIELD = new ParseField("min_word_length"); public static final ParseField MIN_WORD_LENGTH_FIELD = new ParseField("min_word_length");
private final String field; private final String field;
private String preFilter; private String preFilter;
@ -449,7 +449,8 @@ public final class DirectCandidateGeneratorBuilder implements CandidateGenerator
return new LuceneLevenshteinDistance(); return new LuceneLevenshteinDistance();
} else if ("levenstein".equals(distanceVal)) { } else if ("levenstein".equals(distanceVal)) {
return new LevensteinDistance(); return new LevensteinDistance();
//TODO Jaro and Winkler are 2 people - so apply same naming logic as damerau_levenshtein // TODO Jaro and Winkler are 2 people - so apply same naming logic
// as damerau_levenshtein
} else if ("jarowinkler".equals(distanceVal)) { } else if ("jarowinkler".equals(distanceVal)) {
return new JaroWinklerDistance(); return new JaroWinklerDistance();
} else if ("ngram".equals(distanceVal)) { } else if ("ngram".equals(distanceVal)) {

7
core/src/main/java/org/elasticsearch/search/suggest/phrase/LaplaceScorer.java
View File

@ -21,7 +21,6 @@ package org.elasticsearch.search.suggest.phrase;
import org.apache.lucene.index.IndexReader; import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.Terms; import org.apache.lucene.index.Terms;
import org.apache.lucene.util.BytesRef; import org.apache.lucene.util.BytesRef;
import org.elasticsearch.search.suggest.SuggestUtils;
import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.Candidate; import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.Candidate;
import java.io.IOException; import java.io.IOException;
@ -41,15 +40,15 @@ final class LaplaceScorer extends WordScorer {
@Override @Override
protected double scoreBigram(Candidate word, Candidate w_1) throws IOException { protected double scoreBigram(Candidate word, Candidate w_1) throws IOException {
SuggestUtils.join(separator, spare, w_1.term, word.term); join(separator, spare, w_1.term, word.term);
return (alpha + frequency(spare.get())) / (alpha + w_1.frequency + vocabluarySize); return (alpha + frequency(spare.get())) / (alpha + w_1.frequency + vocabluarySize);
} }
@Override @Override
protected double scoreTrigram(Candidate word, Candidate w_1, Candidate w_2) throws IOException { protected double scoreTrigram(Candidate word, Candidate w_1, Candidate w_2) throws IOException {
SuggestUtils.join(separator, spare, w_2.term, w_1.term, word.term); join(separator, spare, w_2.term, w_1.term, word.term);
long trigramCount = frequency(spare.get()); long trigramCount = frequency(spare.get());
SuggestUtils.join(separator, spare, w_1.term, word.term); join(separator, spare, w_1.term, word.term);
return (alpha + trigramCount) / (alpha + frequency(spare.get()) + vocabluarySize); return (alpha + trigramCount) / (alpha + frequency(spare.get()) + vocabluarySize);
} }

7
core/src/main/java/org/elasticsearch/search/suggest/phrase/LinearInterpolatingScorer.java
View File

@ -21,7 +21,6 @@ package org.elasticsearch.search.suggest.phrase;
import org.apache.lucene.index.IndexReader; import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.Terms; import org.apache.lucene.index.Terms;
import org.apache.lucene.util.BytesRef; import org.apache.lucene.util.BytesRef;
import org.elasticsearch.search.suggest.SuggestUtils;
import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.Candidate; import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.Candidate;
import java.io.IOException; import java.io.IOException;
@ -56,7 +55,7 @@ public final class LinearInterpolatingScorer extends WordScorer {
@Override @Override
protected double scoreBigram(Candidate word, Candidate w_1) throws IOException { protected double scoreBigram(Candidate word, Candidate w_1) throws IOException {
SuggestUtils.join(separator, spare, w_1.term, word.term); join(separator, spare, w_1.term, word.term);
final long count = frequency(spare.get()); final long count = frequency(spare.get());
if (count < 1) { if (count < 1) {
return unigramLambda * scoreUnigram(word); return unigramLambda * scoreUnigram(word);
@ -66,12 +65,12 @@ public final class LinearInterpolatingScorer extends WordScorer {
@Override @Override
protected double scoreTrigram(Candidate w, Candidate w_1, Candidate w_2) throws IOException { protected double scoreTrigram(Candidate w, Candidate w_1, Candidate w_2) throws IOException {
SuggestUtils.join(separator, spare, w.term, w_1.term, w_2.term); join(separator, spare, w.term, w_1.term, w_2.term);
final long count = frequency(spare.get()); final long count = frequency(spare.get());
if (count < 1) { if (count < 1) {
return scoreBigram(w, w_1); return scoreBigram(w, w_1);
} }
SuggestUtils.join(separator, spare, w.term, w_1.term); join(separator, spare, w.term, w_1.term);
return trigramLambda * (count / (1.d + frequency(spare.get()))) + scoreBigram(w, w_1); return trigramLambda * (count / (1.d + frequency(spare.get()))) + scoreBigram(w, w_1);
} }

21
core/src/main/java/org/elasticsearch/search/suggest/phrase/NoisyChannelSpellChecker.java
View File

@ -28,7 +28,6 @@ import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.BytesRefBuilder; import org.apache.lucene.util.BytesRefBuilder;
import org.apache.lucene.util.CharsRefBuilder; import org.apache.lucene.util.CharsRefBuilder;
import org.elasticsearch.common.io.FastCharArrayReader; import org.elasticsearch.common.io.FastCharArrayReader;
import org.elasticsearch.search.suggest.SuggestUtils;
import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.Candidate; import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.Candidate;
import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.CandidateSet; import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.CandidateSet;
@ -51,19 +50,19 @@ public final class NoisyChannelSpellChecker {
public NoisyChannelSpellChecker(double nonErrorLikelihood) { public NoisyChannelSpellChecker(double nonErrorLikelihood) {
this(nonErrorLikelihood, true, DEFAULT_TOKEN_LIMIT); this(nonErrorLikelihood, true, DEFAULT_TOKEN_LIMIT);
} }
public NoisyChannelSpellChecker(double nonErrorLikelihood, boolean requireUnigram, int tokenLimit) { public NoisyChannelSpellChecker(double nonErrorLikelihood, boolean requireUnigram, int tokenLimit) {
this.realWordLikelihood = nonErrorLikelihood; this.realWordLikelihood = nonErrorLikelihood;
this.requireUnigram = requireUnigram; this.requireUnigram = requireUnigram;
this.tokenLimit = tokenLimit; this.tokenLimit = tokenLimit;
} }
public Result getCorrections(TokenStream stream, final CandidateGenerator generator, public Result getCorrections(TokenStream stream, final CandidateGenerator generator,
float maxErrors, int numCorrections, WordScorer wordScorer, float confidence, int gramSize) throws IOException { float maxErrors, int numCorrections, WordScorer wordScorer, float confidence, int gramSize) throws IOException {
final List<CandidateSet> candidateSetsList = new ArrayList<>(); final List<CandidateSet> candidateSetsList = new ArrayList<>();
SuggestUtils.analyze(stream, new SuggestUtils.TokenConsumer() { DirectCandidateGenerator.analyze(stream, new DirectCandidateGenerator.TokenConsumer() {
CandidateSet currentSet = null; CandidateSet currentSet = null;
private TypeAttribute typeAttribute; private TypeAttribute typeAttribute;
private final BytesRefBuilder termsRef = new BytesRefBuilder(); private final BytesRefBuilder termsRef = new BytesRefBuilder();
@ -74,7 +73,7 @@ public final class NoisyChannelSpellChecker {
super.reset(stream); super.reset(stream);
typeAttribute = stream.addAttribute(TypeAttribute.class); typeAttribute = stream.addAttribute(TypeAttribute.class);
} }
@Override @Override
public void nextToken() throws IOException { public void nextToken() throws IOException {
anyTokens = true; anyTokens = true;
@ -96,7 +95,7 @@ public final class NoisyChannelSpellChecker {
currentSet = new CandidateSet(Candidate.EMPTY, generator.createCandidate(BytesRef.deepCopyOf(term), true)); currentSet = new CandidateSet(Candidate.EMPTY, generator.createCandidate(BytesRef.deepCopyOf(term), true));
} }
} }
@Override @Override
public void end() { public void end() {
if (currentSet != null) { if (currentSet != null) {
@ -107,11 +106,11 @@ public final class NoisyChannelSpellChecker {
} }
} }
}); });
if (candidateSetsList.isEmpty() || candidateSetsList.size() >= tokenLimit) { if (candidateSetsList.isEmpty() || candidateSetsList.size() >= tokenLimit) {
return Result.EMPTY; return Result.EMPTY;
} }
for (CandidateSet candidateSet : candidateSetsList) { for (CandidateSet candidateSet : candidateSetsList) {
generator.drawCandidates(candidateSet); generator.drawCandidates(candidateSet);
} }
@ -127,13 +126,13 @@ public final class NoisyChannelSpellChecker {
cutoffScore = inputPhraseScore * confidence; cutoffScore = inputPhraseScore * confidence;
} }
Correction[] bestCandidates = scorer.findBestCandiates(candidateSets, maxErrors, cutoffScore); Correction[] bestCandidates = scorer.findBestCandiates(candidateSets, maxErrors, cutoffScore);
return new Result(bestCandidates, cutoffScore); return new Result(bestCandidates, cutoffScore);
} }
public Result getCorrections(Analyzer analyzer, BytesRef query, CandidateGenerator generator, public Result getCorrections(Analyzer analyzer, BytesRef query, CandidateGenerator generator,
float maxErrors, int numCorrections, IndexReader reader, String analysisField, WordScorer scorer, float confidence, int gramSize) throws IOException { float maxErrors, int numCorrections, IndexReader reader, String analysisField, WordScorer scorer, float confidence, int gramSize) throws IOException {
return getCorrections(tokenStream(analyzer, query, new CharsRefBuilder(), analysisField), generator, maxErrors, numCorrections, scorer, confidence, gramSize); return getCorrections(tokenStream(analyzer, query, new CharsRefBuilder(), analysisField), generator, maxErrors, numCorrections, scorer, confidence, gramSize);
} }

3
core/src/main/java/org/elasticsearch/search/suggest/phrase/PhraseSuggester.java
View File

@ -45,7 +45,6 @@ import org.elasticsearch.script.ScriptService;
import org.elasticsearch.search.suggest.Suggest.Suggestion; import org.elasticsearch.search.suggest.Suggest.Suggestion;
import org.elasticsearch.search.suggest.Suggest.Suggestion.Entry; import org.elasticsearch.search.suggest.Suggest.Suggestion.Entry;
import org.elasticsearch.search.suggest.Suggest.Suggestion.Entry.Option; import org.elasticsearch.search.suggest.Suggest.Suggestion.Entry.Option;
import org.elasticsearch.search.suggest.SuggestUtils;
import org.elasticsearch.search.suggest.Suggester; import org.elasticsearch.search.suggest.Suggester;
import org.elasticsearch.search.suggest.SuggestionBuilder; import org.elasticsearch.search.suggest.SuggestionBuilder;
import org.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext; import org.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext;
@ -84,7 +83,7 @@ public final class PhraseSuggester extends Suggester<PhraseSuggestionContext> {
final List<CandidateGenerator> gens = new ArrayList<>(generators.size()); final List<CandidateGenerator> gens = new ArrayList<>(generators.size());
for (int i = 0; i < numGenerators; i++) { for (int i = 0; i < numGenerators; i++) {
PhraseSuggestionContext.DirectCandidateGenerator generator = generators.get(i); PhraseSuggestionContext.DirectCandidateGenerator generator = generators.get(i);
DirectSpellChecker directSpellChecker = SuggestUtils.getDirectSpellChecker(generator); DirectSpellChecker directSpellChecker = generator.createDirectSpellChecker();
Terms terms = MultiFields.getTerms(indexReader, generator.field()); Terms terms = MultiFields.getTerms(indexReader, generator.field());
if (terms != null) { if (terms != null) {
gens.add(new DirectCandidateGenerator(directSpellChecker, generator.field(), generator.suggestMode(), gens.add(new DirectCandidateGenerator(directSpellChecker, generator.field(), generator.suggestMode(),

3
core/src/main/java/org/elasticsearch/search/suggest/phrase/PhraseSuggestionBuilder.java
View File

@ -43,7 +43,6 @@ import org.elasticsearch.script.CompiledScript;
import org.elasticsearch.script.Script; import org.elasticsearch.script.Script;
import org.elasticsearch.script.ScriptContext; import org.elasticsearch.script.ScriptContext;
import org.elasticsearch.script.ScriptService; import org.elasticsearch.script.ScriptService;
import org.elasticsearch.search.suggest.SuggestUtils;
import org.elasticsearch.search.suggest.SuggestionBuilder; import org.elasticsearch.search.suggest.SuggestionBuilder;
import org.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext; import org.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionContext.DirectCandidateGenerator; import org.elasticsearch.search.suggest.phrase.PhraseSuggestionContext.DirectCandidateGenerator;
@ -596,7 +595,7 @@ public class PhraseSuggestionBuilder extends SuggestionBuilder<PhraseSuggestionB
// now we should have field name, check and copy fields over to the suggestion builder we return // now we should have field name, check and copy fields over to the suggestion builder we return
if (fieldname == null) { if (fieldname == null) {
throw new ElasticsearchParseException( throw new ElasticsearchParseException(
"the required field option [" + SuggestUtils.Fields.FIELD.getPreferredName() + "] is missing"); "the required field option [" + FIELDNAME_FIELD.getPreferredName() + "] is missing");
} }
return new PhraseSuggestionBuilder(fieldname, tmpSuggestion); return new PhraseSuggestionBuilder(fieldname, tmpSuggestion);
} }

7
core/src/main/java/org/elasticsearch/search/suggest/phrase/StupidBackoffScorer.java
View File

@ -21,7 +21,6 @@ package org.elasticsearch.search.suggest.phrase;
import org.apache.lucene.index.IndexReader; import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.Terms; import org.apache.lucene.index.Terms;
import org.apache.lucene.util.BytesRef; import org.apache.lucene.util.BytesRef;
import org.elasticsearch.search.suggest.SuggestUtils;
import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.Candidate; import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.Candidate;
import java.io.IOException; import java.io.IOException;
@ -41,7 +40,7 @@ class StupidBackoffScorer extends WordScorer {
@Override @Override
protected double scoreBigram(Candidate word, Candidate w_1) throws IOException { protected double scoreBigram(Candidate word, Candidate w_1) throws IOException {
SuggestUtils.join(separator, spare, w_1.term, word.term); join(separator, spare, w_1.term, word.term);
final long count = frequency(spare.get()); final long count = frequency(spare.get());
if (count < 1) { if (count < 1) {
return discount * scoreUnigram(word); return discount * scoreUnigram(word);
@ -53,12 +52,12 @@ class StupidBackoffScorer extends WordScorer {
protected double scoreTrigram(Candidate w, Candidate w_1, Candidate w_2) throws IOException { protected double scoreTrigram(Candidate w, Candidate w_1, Candidate w_2) throws IOException {
// First see if there are bigrams. If there aren't then skip looking up the trigram. This saves lookups // First see if there are bigrams. If there aren't then skip looking up the trigram. This saves lookups
// when the bigrams and trigrams are rare and we need both anyway. // when the bigrams and trigrams are rare and we need both anyway.
SuggestUtils.join(separator, spare, w_1.term, w.term); join(separator, spare, w_1.term, w.term);
long bigramCount = frequency(spare.get()); long bigramCount = frequency(spare.get());
if (bigramCount < 1) { if (bigramCount < 1) {
return discount * scoreUnigram(w); return discount * scoreUnigram(w);
} }
SuggestUtils.join(separator, spare, w_2.term, w_1.term, w.term); join(separator, spare, w_2.term, w_1.term, w.term);
long trigramCount = frequency(spare.get()); long trigramCount = frequency(spare.get());
if (trigramCount < 1) { if (trigramCount < 1) {
return discount * (bigramCount / (w_1.frequency + 0.00000000001d)); return discount * (bigramCount / (w_1.frequency + 0.00000000001d));

10
core/src/main/java/org/elasticsearch/search/suggest/phrase/WordScorer.java
View File

@ -100,6 +100,16 @@ public abstract class WordScorer {
return scoreBigram(word, w_1); return scoreBigram(word, w_1);
} }
public static BytesRef join(BytesRef separator, BytesRefBuilder result, BytesRef... toJoin) {
result.clear();
for (int i = 0; i < toJoin.length - 1; i++) {
result.append(toJoin[i]);
result.append(separator);
}
result.append(toJoin[toJoin.length-1]);
return result.get();
}
public interface WordScorerFactory { public interface WordScorerFactory {
WordScorer newScorer(IndexReader reader, Terms terms, WordScorer newScorer(IndexReader reader, Terms terms,
String field, double realWordLikelyhood, BytesRef separator) throws IOException; String field, double realWordLikelyhood, BytesRef separator) throws IOException;

9
core/src/main/java/org/elasticsearch/search/suggest/term/TermSuggester.java
View File

@ -30,10 +30,10 @@ import org.elasticsearch.common.bytes.BytesArray;
import org.elasticsearch.common.io.stream.StreamInput; import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.text.Text; import org.elasticsearch.common.text.Text;
import org.elasticsearch.index.query.QueryParseContext; import org.elasticsearch.index.query.QueryParseContext;
import org.elasticsearch.search.suggest.SuggestUtils;
import org.elasticsearch.search.suggest.Suggester; import org.elasticsearch.search.suggest.Suggester;
import org.elasticsearch.search.suggest.SuggestionBuilder; import org.elasticsearch.search.suggest.SuggestionBuilder;
import org.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext; import org.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext;
import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator;
import java.io.IOException; import java.io.IOException;
import java.util.ArrayList; import java.util.ArrayList;
@ -48,7 +48,7 @@ public final class TermSuggester extends Suggester<TermSuggestionContext> {
@Override @Override
public TermSuggestion innerExecute(String name, TermSuggestionContext suggestion, IndexSearcher searcher, CharsRefBuilder spare) public TermSuggestion innerExecute(String name, TermSuggestionContext suggestion, IndexSearcher searcher, CharsRefBuilder spare)
throws IOException { throws IOException {
DirectSpellChecker directSpellChecker = SuggestUtils.getDirectSpellChecker(suggestion.getDirectSpellCheckerSettings()); DirectSpellChecker directSpellChecker = suggestion.getDirectSpellCheckerSettings().createDirectSpellChecker();
final IndexReader indexReader = searcher.getIndexReader(); final IndexReader indexReader = searcher.getIndexReader();
TermSuggestion response = new TermSuggestion( TermSuggestion response = new TermSuggestion(
name, suggestion.getSize(), suggestion.getDirectSpellCheckerSettings().sort() name, suggestion.getSize(), suggestion.getDirectSpellCheckerSettings().sort()
@ -70,10 +70,11 @@ public final class TermSuggester extends Suggester<TermSuggestionContext> {
return response; return response;
} }
private List<Token> queryTerms(SuggestionContext suggestion, CharsRefBuilder spare) throws IOException { private static List<Token> queryTerms(SuggestionContext suggestion, CharsRefBuilder spare) throws IOException {
final List<Token> result = new ArrayList<>(); final List<Token> result = new ArrayList<>();
final String field = suggestion.getField(); final String field = suggestion.getField();
SuggestUtils.analyze(suggestion.getAnalyzer(), suggestion.getText(), field, new SuggestUtils.TokenConsumer() { DirectCandidateGenerator.analyze(suggestion.getAnalyzer(), suggestion.getText(), field,
new DirectCandidateGenerator.TokenConsumer() {
@Override @Override
public void nextToken() { public void nextToken() {
Term term = new Term(field, BytesRef.deepCopyOf(fillBytesRef(new BytesRefBuilder()))); Term term = new Term(field, BytesRef.deepCopyOf(fillBytesRef(new BytesRefBuilder())));

63
core/src/main/java/org/elasticsearch/search/suggest/term/TermSuggestionBuilder.java
View File

@ -37,7 +37,6 @@ import org.elasticsearch.index.query.QueryParseContext;
import org.elasticsearch.index.query.QueryShardContext; import org.elasticsearch.index.query.QueryShardContext;
import org.elasticsearch.search.suggest.DirectSpellcheckerSettings; import org.elasticsearch.search.suggest.DirectSpellcheckerSettings;
import org.elasticsearch.search.suggest.SortBy; import org.elasticsearch.search.suggest.SortBy;
import org.elasticsearch.search.suggest.SuggestUtils;
import org.elasticsearch.search.suggest.SuggestionBuilder; import org.elasticsearch.search.suggest.SuggestionBuilder;
import org.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext; import org.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext;
@ -52,16 +51,16 @@ import static org.elasticsearch.search.suggest.DirectSpellcheckerSettings.DEFAUL
import static org.elasticsearch.search.suggest.DirectSpellcheckerSettings.DEFAULT_MIN_DOC_FREQ; import static org.elasticsearch.search.suggest.DirectSpellcheckerSettings.DEFAULT_MIN_DOC_FREQ;
import static org.elasticsearch.search.suggest.DirectSpellcheckerSettings.DEFAULT_MIN_WORD_LENGTH; import static org.elasticsearch.search.suggest.DirectSpellcheckerSettings.DEFAULT_MIN_WORD_LENGTH;
import static org.elasticsearch.search.suggest.DirectSpellcheckerSettings.DEFAULT_PREFIX_LENGTH; import static org.elasticsearch.search.suggest.DirectSpellcheckerSettings.DEFAULT_PREFIX_LENGTH;
import static org.elasticsearch.search.suggest.SuggestUtils.Fields.ACCURACY; import static org.elasticsearch.search.suggest.phrase.DirectCandidateGeneratorBuilder.ACCURACY_FIELD;
import static org.elasticsearch.search.suggest.SuggestUtils.Fields.MAX_EDITS; import static org.elasticsearch.search.suggest.phrase.DirectCandidateGeneratorBuilder.MAX_EDITS_FIELD;
import static org.elasticsearch.search.suggest.SuggestUtils.Fields.MAX_INSPECTIONS; import static org.elasticsearch.search.suggest.phrase.DirectCandidateGeneratorBuilder.MAX_INSPECTIONS_FIELD;
import static org.elasticsearch.search.suggest.SuggestUtils.Fields.MAX_TERM_FREQ; import static org.elasticsearch.search.suggest.phrase.DirectCandidateGeneratorBuilder.MAX_TERM_FREQ_FIELD;
import static org.elasticsearch.search.suggest.SuggestUtils.Fields.MIN_DOC_FREQ; import static org.elasticsearch.search.suggest.phrase.DirectCandidateGeneratorBuilder.MIN_DOC_FREQ_FIELD;
import static org.elasticsearch.search.suggest.SuggestUtils.Fields.MIN_WORD_LENGTH; import static org.elasticsearch.search.suggest.phrase.DirectCandidateGeneratorBuilder.MIN_WORD_LENGTH_FIELD;
import static org.elasticsearch.search.suggest.SuggestUtils.Fields.PREFIX_LENGTH; import static org.elasticsearch.search.suggest.phrase.DirectCandidateGeneratorBuilder.PREFIX_LENGTH_FIELD;
import static org.elasticsearch.search.suggest.SuggestUtils.Fields.SORT; import static org.elasticsearch.search.suggest.phrase.DirectCandidateGeneratorBuilder.SORT_FIELD;
import static org.elasticsearch.search.suggest.SuggestUtils.Fields.STRING_DISTANCE; import static org.elasticsearch.search.suggest.phrase.DirectCandidateGeneratorBuilder.STRING_DISTANCE_FIELD;
import static org.elasticsearch.search.suggest.SuggestUtils.Fields.SUGGEST_MODE; import static org.elasticsearch.search.suggest.phrase.DirectCandidateGeneratorBuilder.SUGGESTMODE_FIELD;
/** /**
* Defines the actual suggest command. Each command uses the global options * Defines the actual suggest command. Each command uses the global options
@ -376,16 +375,16 @@ public class TermSuggestionBuilder extends SuggestionBuilder<TermSuggestionBuild
@Override @Override
public XContentBuilder innerToXContent(XContentBuilder builder, Params params) throws IOException { public XContentBuilder innerToXContent(XContentBuilder builder, Params params) throws IOException {
builder.field(SUGGEST_MODE.getPreferredName(), suggestMode); builder.field(SUGGESTMODE_FIELD.getPreferredName(), suggestMode);
builder.field(ACCURACY.getPreferredName(), accuracy); builder.field(ACCURACY_FIELD.getPreferredName(), accuracy);
builder.field(SORT.getPreferredName(), sort); builder.field(SORT_FIELD.getPreferredName(), sort);
builder.field(STRING_DISTANCE.getPreferredName(), stringDistance); builder.field(STRING_DISTANCE_FIELD.getPreferredName(), stringDistance);
builder.field(MAX_EDITS.getPreferredName(), maxEdits); builder.field(MAX_EDITS_FIELD.getPreferredName(), maxEdits);
builder.field(MAX_INSPECTIONS.getPreferredName(), maxInspections); builder.field(MAX_INSPECTIONS_FIELD.getPreferredName(), maxInspections);
builder.field(MAX_TERM_FREQ.getPreferredName(), maxTermFreq); builder.field(MAX_TERM_FREQ_FIELD.getPreferredName(), maxTermFreq);
builder.field(PREFIX_LENGTH.getPreferredName(), prefixLength); builder.field(PREFIX_LENGTH_FIELD.getPreferredName(), prefixLength);
builder.field(MIN_WORD_LENGTH.getPreferredName(), minWordLength); builder.field(MIN_WORD_LENGTH_FIELD.getPreferredName(), minWordLength);
builder.field(MIN_DOC_FREQ.getPreferredName(), minDocFreq); builder.field(MIN_DOC_FREQ_FIELD.getPreferredName(), minDocFreq);
return builder; return builder;
} }
@ -408,25 +407,25 @@ public class TermSuggestionBuilder extends SuggestionBuilder<TermSuggestionBuild
tmpSuggestion.size(parser.intValue()); tmpSuggestion.size(parser.intValue());
} else if (parseFieldMatcher.match(currentFieldName, SuggestionBuilder.SHARDSIZE_FIELD)) { } else if (parseFieldMatcher.match(currentFieldName, SuggestionBuilder.SHARDSIZE_FIELD)) {
tmpSuggestion.shardSize(parser.intValue()); tmpSuggestion.shardSize(parser.intValue());
} else if (parseFieldMatcher.match(currentFieldName, SUGGEST_MODE)) { } else if (parseFieldMatcher.match(currentFieldName, SUGGESTMODE_FIELD)) {
tmpSuggestion.suggestMode(SuggestMode.resolve(parser.text())); tmpSuggestion.suggestMode(SuggestMode.resolve(parser.text()));
} else if (parseFieldMatcher.match(currentFieldName, ACCURACY)) { } else if (parseFieldMatcher.match(currentFieldName, ACCURACY_FIELD)) {
tmpSuggestion.accuracy(parser.floatValue()); tmpSuggestion.accuracy(parser.floatValue());
} else if (parseFieldMatcher.match(currentFieldName, SORT)) { } else if (parseFieldMatcher.match(currentFieldName, SORT_FIELD)) {
tmpSuggestion.sort(SortBy.resolve(parser.text())); tmpSuggestion.sort(SortBy.resolve(parser.text()));
} else if (parseFieldMatcher.match(currentFieldName, STRING_DISTANCE)) { } else if (parseFieldMatcher.match(currentFieldName, STRING_DISTANCE_FIELD)) {
tmpSuggestion.stringDistance(StringDistanceImpl.resolve(parser.text())); tmpSuggestion.stringDistance(StringDistanceImpl.resolve(parser.text()));
} else if (parseFieldMatcher.match(currentFieldName, MAX_EDITS)) { } else if (parseFieldMatcher.match(currentFieldName, MAX_EDITS_FIELD)) {
tmpSuggestion.maxEdits(parser.intValue()); tmpSuggestion.maxEdits(parser.intValue());
} else if (parseFieldMatcher.match(currentFieldName, MAX_INSPECTIONS)) { } else if (parseFieldMatcher.match(currentFieldName, MAX_INSPECTIONS_FIELD)) {
tmpSuggestion.maxInspections(parser.intValue()); tmpSuggestion.maxInspections(parser.intValue());
} else if (parseFieldMatcher.match(currentFieldName, MAX_TERM_FREQ)) { } else if (parseFieldMatcher.match(currentFieldName, MAX_TERM_FREQ_FIELD)) {
tmpSuggestion.maxTermFreq(parser.floatValue()); tmpSuggestion.maxTermFreq(parser.floatValue());
} else if (parseFieldMatcher.match(currentFieldName, PREFIX_LENGTH)) { } else if (parseFieldMatcher.match(currentFieldName, PREFIX_LENGTH_FIELD)) {
tmpSuggestion.prefixLength(parser.intValue()); tmpSuggestion.prefixLength(parser.intValue());
} else if (parseFieldMatcher.match(currentFieldName, MIN_WORD_LENGTH)) { } else if (parseFieldMatcher.match(currentFieldName, MIN_WORD_LENGTH_FIELD)) {
tmpSuggestion.minWordLength(parser.intValue()); tmpSuggestion.minWordLength(parser.intValue());
} else if (parseFieldMatcher.match(currentFieldName, MIN_DOC_FREQ)) { } else if (parseFieldMatcher.match(currentFieldName, MIN_DOC_FREQ_FIELD)) {
tmpSuggestion.minDocFreq(parser.floatValue()); tmpSuggestion.minDocFreq(parser.floatValue());
} else { } else {
throw new ParsingException(parser.getTokenLocation(), throw new ParsingException(parser.getTokenLocation(),
@ -440,7 +439,7 @@ public class TermSuggestionBuilder extends SuggestionBuilder<TermSuggestionBuild
// now we should have field name, check and copy fields over to the suggestion builder we return // now we should have field name, check and copy fields over to the suggestion builder we return
if (fieldname == null) { if (fieldname == null) {
throw new ElasticsearchParseException( throw new ElasticsearchParseException(
"the required field option [" + SuggestUtils.Fields.FIELD.getPreferredName() + "] is missing"); "the required field option [" + FIELDNAME_FIELD.getPreferredName() + "] is missing");
} }
return new TermSuggestionBuilder(fieldname, tmpSuggestion); return new TermSuggestionBuilder(fieldname, tmpSuggestion);
} }