Merge pull request #16185 from cbuescher/ref-DirectCandidateGenerator
As a prerequisite for refactoring the whole PhraseSuggestionBuilder to be able to be parsed and streamed from the coordinating node, the DirectCandidateGenerator must implement Writeable, be able to parse a new instance (fromXContent()) and later when transported to the shard to generate a PhraseSuggestionContext.DirectCandidateGenerator. Also adding equals/hashCode and tests and moving DirectCandidateGenerator to its own DirectCandidateGeneratorBuilder class.
This commit is contained in:
Christoph Büscher
commit
220bf7bd4b
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/*
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* Licensed to Elasticsearch under one or more contributor
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* license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright
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* ownership. Elasticsearch licenses this file to you under
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* the Apache License, Version 2.0 (the "License"); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.elasticsearch.search.suggest.phrase;
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import org.apache.lucene.util.automaton.LevenshteinAutomata;
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import org.elasticsearch.ExceptionsHelper;
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import org.elasticsearch.common.ParseField;
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import org.elasticsearch.common.collect.Tuple;
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import org.elasticsearch.common.io.stream.StreamInput;
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import org.elasticsearch.common.io.stream.StreamOutput;
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import org.elasticsearch.common.io.stream.Writeable;
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import org.elasticsearch.common.xcontent.ObjectParser;
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import org.elasticsearch.common.xcontent.XContentBuilder;
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import org.elasticsearch.common.xcontent.XContentFactory;
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import org.elasticsearch.index.mapper.MapperService;
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import org.elasticsearch.index.query.QueryParseContext;
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import org.elasticsearch.index.query.QueryShardContext;
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import org.elasticsearch.search.suggest.SuggestUtils;
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import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder.CandidateGenerator;
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import java.io.IOException;
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import java.util.HashSet;
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import java.util.Objects;
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import java.util.Set;
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import java.util.function.Consumer;
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public final class DirectCandidateGeneratorBuilder
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implements Writeable<DirectCandidateGeneratorBuilder>, CandidateGenerator {
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private static final String TYPE = "direct_generator";
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static final DirectCandidateGeneratorBuilder PROTOTYPE = new DirectCandidateGeneratorBuilder("_na_");
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static final ParseField DIRECT_GENERATOR_FIELD = new ParseField(TYPE);
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static final ParseField FIELDNAME_FIELD = new ParseField("field");
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static final ParseField PREFILTER_FIELD = new ParseField("pre_filter");
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static final ParseField POSTFILTER_FIELD = new ParseField("post_filter");
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static final ParseField SUGGESTMODE_FIELD = new ParseField("suggest_mode");
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static final ParseField MIN_DOC_FREQ_FIELD = new ParseField("min_doc_freq");
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static final ParseField ACCURACY_FIELD = new ParseField("accuracy");
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static final ParseField SIZE_FIELD = new ParseField("size");
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static final ParseField SORT_FIELD = new ParseField("sort");
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static final ParseField STRING_DISTANCE_FIELD = new ParseField("string_distance");
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static final ParseField MAX_EDITS_FIELD = new ParseField("max_edits");
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static final ParseField MAX_INSPECTIONS_FIELD = new ParseField("max_inspections");
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static final ParseField MAX_TERM_FREQ_FIELD = new ParseField("max_term_freq");
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static final ParseField PREFIX_LENGTH_FIELD = new ParseField("prefix_length");
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static final ParseField MIN_WORD_LENGTH_FIELD = new ParseField("min_word_length");
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private final String field;
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private String preFilter;
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private String postFilter;
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private String suggestMode;
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private Float accuracy;
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private Integer size;
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private String sort;
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private String stringDistance;
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private Integer maxEdits;
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private Integer maxInspections;
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private Float maxTermFreq;
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private Integer prefixLength;
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private Integer minWordLength;
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private Float minDocFreq;
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/**
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* @param field Sets from what field to fetch the candidate suggestions from.
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*/
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public DirectCandidateGeneratorBuilder(String field) {
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this.field = field;
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}
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/**
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* Quasi copy-constructor that takes all values from the generator
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* passed in, but uses different field name. Needed by parser because we
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* need to buffer the field name but read all other properties to a
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* temporary object.
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*/
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private static DirectCandidateGeneratorBuilder replaceField(String field, DirectCandidateGeneratorBuilder other) {
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DirectCandidateGeneratorBuilder generator = new DirectCandidateGeneratorBuilder(field);
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generator.preFilter = other.preFilter;
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generator.postFilter = other.postFilter;
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generator.suggestMode = other.suggestMode;
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generator.accuracy = other.accuracy;
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generator.size = other.size;
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generator.sort = other.sort;
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generator.stringDistance = other.stringDistance;
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generator.maxEdits = other.maxEdits;
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generator.maxInspections = other.maxInspections;
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generator.maxTermFreq = other.maxTermFreq;
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generator.prefixLength = other.prefixLength;
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generator.minWordLength = other.minWordLength;
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generator.minDocFreq = other.minDocFreq;
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return generator;
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}
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/**
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* The global suggest mode controls what suggested terms are included or
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* controls for what suggest text tokens, terms should be suggested for.
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* Three possible values can be specified:
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* <ol>
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* <li><code>missing</code> - Only suggest terms in the suggest text
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* that aren't in the index. This is the default.
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* <li><code>popular</code> - Only suggest terms that occur in more docs
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* then the original suggest text term.
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* <li><code>always</code> - Suggest any matching suggest terms based on
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* tokens in the suggest text.
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* </ol>
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*/
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public DirectCandidateGeneratorBuilder suggestMode(String suggestMode) {
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this.suggestMode = suggestMode;
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return this;
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}
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/**
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* Sets how similar the suggested terms at least need to be compared to
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* the original suggest text tokens. A value between 0 and 1 can be
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* specified. This value will be compared to the string distance result
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* of each candidate spelling correction.
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* <p>
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* Default is <tt>0.5</tt>
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*/
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public DirectCandidateGeneratorBuilder accuracy(float accuracy) {
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this.accuracy = accuracy;
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return this;
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}
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/**
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* Sets the maximum suggestions to be returned per suggest text term.
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*/
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public DirectCandidateGeneratorBuilder size(int size) {
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if (size <= 0) {
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throw new IllegalArgumentException("Size must be positive");
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}
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this.size = size;
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return this;
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}
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/**
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* Sets how to sort the suggest terms per suggest text token. Two
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* possible values:
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* <ol>
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* <li><code>score</code> - Sort should first be based on score, then
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* document frequency and then the term itself.
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* <li><code>frequency</code> - Sort should first be based on document
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* frequency, then score and then the term itself.
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* </ol>
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* <p>
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* What the score is depends on the suggester being used.
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*/
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public DirectCandidateGeneratorBuilder sort(String sort) {
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this.sort = sort;
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return this;
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}
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/**
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* Sets what string distance implementation to use for comparing how
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* similar suggested terms are. Four possible values can be specified:
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* <ol>
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* <li><code>internal</code> - This is the default and is based on
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* <code>damerau_levenshtein</code>, but highly optimized for comparing
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* string distance for terms inside the index.
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* <li><code>damerau_levenshtein</code> - String distance algorithm
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* based on Damerau-Levenshtein algorithm.
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* <li><code>levenstein</code> - String distance algorithm based on
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* Levenstein edit distance algorithm.
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* <li><code>jarowinkler</code> - String distance algorithm based on
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* Jaro-Winkler algorithm.
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* <li><code>ngram</code> - String distance algorithm based on character
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* n-grams.
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* </ol>
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*/
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public DirectCandidateGeneratorBuilder stringDistance(String stringDistance) {
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this.stringDistance = stringDistance;
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return this;
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}
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/**
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* Sets the maximum edit distance candidate suggestions can have in
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* order to be considered as a suggestion. Can only be a value between 1
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* and 2. Any other value result in an bad request error being thrown.
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* Defaults to <tt>2</tt>.
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*/
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public DirectCandidateGeneratorBuilder maxEdits(Integer maxEdits) {
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if (maxEdits < 1 || maxEdits > LevenshteinAutomata.MAXIMUM_SUPPORTED_DISTANCE) {
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throw new IllegalArgumentException("Illegal max_edits value " + maxEdits);
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}
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this.maxEdits = maxEdits;
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return this;
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}
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/**
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* A factor that is used to multiply with the size in order to inspect
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* more candidate suggestions. Can improve accuracy at the cost of
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* performance. Defaults to <tt>5</tt>.
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*/
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public DirectCandidateGeneratorBuilder maxInspections(Integer maxInspections) {
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this.maxInspections = maxInspections;
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return this;
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}
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/**
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* Sets a maximum threshold in number of documents a suggest text token
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* can exist in order to be corrected. Can be a relative percentage
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* number (e.g 0.4) or an absolute number to represent document
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* frequencies. If an value higher than 1 is specified then fractional
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* can not be specified. Defaults to <tt>0.01</tt>.
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* <p>
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* This can be used to exclude high frequency terms from being
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* suggested. High frequency terms are usually spelled correctly on top
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* of this this also improves the suggest performance.
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*/
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public DirectCandidateGeneratorBuilder maxTermFreq(float maxTermFreq) {
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this.maxTermFreq = maxTermFreq;
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return this;
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}
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/**
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* Sets the number of minimal prefix characters that must match in order
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* be a candidate suggestion. Defaults to 1. Increasing this number
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* improves suggest performance. Usually misspellings don't occur in the
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* beginning of terms.
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*/
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public DirectCandidateGeneratorBuilder prefixLength(int prefixLength) {
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this.prefixLength = prefixLength;
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return this;
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}
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/**
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* The minimum length a suggest text term must have in order to be
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* corrected. Defaults to <tt>4</tt>.
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*/
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public DirectCandidateGeneratorBuilder minWordLength(int minWordLength) {
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this.minWordLength = minWordLength;
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return this;
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}
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/**
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* Sets a minimal threshold in number of documents a suggested term
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* should appear in. This can be specified as an absolute number or as a
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* relative percentage of number of documents. This can improve quality
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* by only suggesting high frequency terms. Defaults to 0f and is not
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* enabled. If a value higher than 1 is specified then the number cannot
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* be fractional.
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*/
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public DirectCandidateGeneratorBuilder minDocFreq(float minDocFreq) {
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this.minDocFreq = minDocFreq;
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return this;
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}
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/**
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* Sets a filter (analyzer) that is applied to each of the tokens passed to this candidate generator.
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* This filter is applied to the original token before candidates are generated.
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*/
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public DirectCandidateGeneratorBuilder preFilter(String preFilter) {
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this.preFilter = preFilter;
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return this;
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}
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/**
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* Sets a filter (analyzer) that is applied to each of the generated tokens
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* before they are passed to the actual phrase scorer.
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*/
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public DirectCandidateGeneratorBuilder postFilter(String postFilter) {
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this.postFilter = postFilter;
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return this;
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}
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/**
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* gets the type identifier of this {@link CandidateGenerator}
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*/
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@Override
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public String getType() {
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return TYPE;
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}
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@Override
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public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
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builder.startObject();
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outputFieldIfNotNull(field, FIELDNAME_FIELD, builder);
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outputFieldIfNotNull(accuracy, ACCURACY_FIELD, builder);
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outputFieldIfNotNull(maxEdits, MAX_EDITS_FIELD, builder);
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outputFieldIfNotNull(maxInspections, MAX_INSPECTIONS_FIELD, builder);
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outputFieldIfNotNull(maxTermFreq, MAX_TERM_FREQ_FIELD, builder);
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outputFieldIfNotNull(minWordLength, MIN_WORD_LENGTH_FIELD, builder);
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outputFieldIfNotNull(minDocFreq, MIN_DOC_FREQ_FIELD, builder);
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outputFieldIfNotNull(preFilter, PREFILTER_FIELD, builder);
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outputFieldIfNotNull(prefixLength, PREFIX_LENGTH_FIELD, builder);
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outputFieldIfNotNull(postFilter, POSTFILTER_FIELD, builder);
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outputFieldIfNotNull(suggestMode, SUGGESTMODE_FIELD, builder);
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outputFieldIfNotNull(size, SIZE_FIELD, builder);
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outputFieldIfNotNull(sort, SORT_FIELD, builder);
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outputFieldIfNotNull(stringDistance, STRING_DISTANCE_FIELD, builder);
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builder.endObject();
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return builder;
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}
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private static <T> void outputFieldIfNotNull(T value, ParseField field, XContentBuilder builder) throws IOException {
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if (value != null) {
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builder.field(field.getPreferredName(), value);
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}
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}
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private static ObjectParser<Tuple<Set<String>, DirectCandidateGeneratorBuilder>, QueryParseContext> PARSER = new ObjectParser<>(TYPE);
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static {
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PARSER.declareString((tp, s) -> tp.v1().add(s), FIELDNAME_FIELD);
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PARSER.declareString((tp, s) -> tp.v2().preFilter(s), PREFILTER_FIELD);
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PARSER.declareString((tp, s) -> tp.v2().postFilter(s), POSTFILTER_FIELD);
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PARSER.declareString((tp, s) -> tp.v2().suggestMode(s), SUGGESTMODE_FIELD);
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PARSER.declareFloat((tp, f) -> tp.v2().minDocFreq(f), MIN_DOC_FREQ_FIELD);
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PARSER.declareFloat((tp, f) -> tp.v2().accuracy(f), ACCURACY_FIELD);
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PARSER.declareInt((tp, i) -> tp.v2().size(i), SIZE_FIELD);
|
||||||
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PARSER.declareString((tp, s) -> tp.v2().sort(s), SORT_FIELD);
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PARSER.declareString((tp, s) -> tp.v2().stringDistance(s), STRING_DISTANCE_FIELD);
|
||||||
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PARSER.declareInt((tp, i) -> tp.v2().maxInspections(i), MAX_INSPECTIONS_FIELD);
|
||||||
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PARSER.declareFloat((tp, f) -> tp.v2().maxTermFreq(f), MAX_TERM_FREQ_FIELD);
|
||||||
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PARSER.declareInt((tp, i) -> tp.v2().maxEdits(i), MAX_EDITS_FIELD);
|
||||||
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PARSER.declareInt((tp, i) -> tp.v2().minWordLength(i), MIN_WORD_LENGTH_FIELD);
|
||||||
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PARSER.declareInt((tp, i) -> tp.v2().prefixLength(i), PREFIX_LENGTH_FIELD);
|
||||||
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}
|
||||||
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||||||
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@Override
|
||||||
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public DirectCandidateGeneratorBuilder fromXContent(QueryParseContext parseContext) throws IOException {
|
||||||
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DirectCandidateGeneratorBuilder tempGenerator = new DirectCandidateGeneratorBuilder("_na_");
|
||||||
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Set<String> tmpFieldName = new HashSet<>(1); // bucket for the field
|
||||||
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// name, needed as
|
||||||
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// constructor arg
|
||||||
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// later
|
||||||
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PARSER.parse(parseContext.parser(),
|
||||||
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new Tuple<Set<String>, DirectCandidateGeneratorBuilder>(tmpFieldName, tempGenerator));
|
||||||
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if (tmpFieldName.size() != 1) {
|
||||||
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throw new IllegalArgumentException("[" + TYPE + "] expects exactly one field parameter, but found " + tmpFieldName);
|
||||||
|
}
|
||||||
|
return replaceField(tmpFieldName.iterator().next(), tempGenerator);
|
||||||
|
}
|
||||||
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|
||||||
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public PhraseSuggestionContext.DirectCandidateGenerator build(QueryShardContext context) throws IOException {
|
||||||
|
MapperService mapperService = context.getMapperService();
|
||||||
|
PhraseSuggestionContext.DirectCandidateGenerator generator = new PhraseSuggestionContext.DirectCandidateGenerator();
|
||||||
|
generator.setField(this.field);
|
||||||
|
transferIfNotNull(this.size, generator::size);
|
||||||
|
if (this.preFilter != null) {
|
||||||
|
generator.preFilter(mapperService.analysisService().analyzer(this.preFilter));
|
||||||
|
if (generator.preFilter() == null) {
|
||||||
|
throw new IllegalArgumentException("Analyzer [" + this.preFilter + "] doesn't exists");
|
||||||
|
}
|
||||||
|
}
|
||||||
|
if (this.postFilter != null) {
|
||||||
|
generator.postFilter(mapperService.analysisService().analyzer(this.postFilter));
|
||||||
|
if (generator.postFilter() == null) {
|
||||||
|
throw new IllegalArgumentException("Analyzer [" + this.postFilter + "] doesn't exists");
|
||||||
|
}
|
||||||
|
}
|
||||||
|
transferIfNotNull(this.accuracy, generator::accuracy);
|
||||||
|
if (this.suggestMode != null) {
|
||||||
|
generator.suggestMode(SuggestUtils.resolveSuggestMode(this.suggestMode));
|
||||||
|
}
|
||||||
|
if (this.sort != null) {
|
||||||
|
generator.sort(SuggestUtils.resolveSort(this.sort));
|
||||||
|
}
|
||||||
|
if (this.stringDistance != null) {
|
||||||
|
generator.stringDistance(SuggestUtils.resolveDistance(this.stringDistance));
|
||||||
|
}
|
||||||
|
transferIfNotNull(this.maxEdits, generator::maxEdits);
|
||||||
|
if (generator.maxEdits() < 1 || generator.maxEdits() > LevenshteinAutomata.MAXIMUM_SUPPORTED_DISTANCE) {
|
||||||
|
throw new IllegalArgumentException("Illegal max_edits value " + generator.maxEdits());
|
||||||
|
}
|
||||||
|
transferIfNotNull(this.maxInspections, generator::maxInspections);
|
||||||
|
transferIfNotNull(this.maxTermFreq, generator::maxTermFreq);
|
||||||
|
transferIfNotNull(this.prefixLength, generator::prefixLength);
|
||||||
|
transferIfNotNull(this.minWordLength, generator::minQueryLength);
|
||||||
|
transferIfNotNull(this.minDocFreq, generator::minDocFreq);
|
||||||
|
return generator;
|
||||||
|
}
|
||||||
|
|
||||||
|
private static <T> void transferIfNotNull(T value, Consumer<T> consumer) {
|
||||||
|
if (value != null) {
|
||||||
|
consumer.accept(value);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
@Override
|
||||||
|
public final String toString() {
|
||||||
|
try {
|
||||||
|
XContentBuilder builder = XContentFactory.jsonBuilder();
|
||||||
|
builder.prettyPrint();
|
||||||
|
toXContent(builder, EMPTY_PARAMS);
|
||||||
|
return builder.string();
|
||||||
|
} catch (Exception e) {
|
||||||
|
return "{ \"error\" : \"" + ExceptionsHelper.detailedMessage(e) + "\"}";
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
@Override
|
||||||
|
public DirectCandidateGeneratorBuilder readFrom(StreamInput in) throws IOException {
|
||||||
|
DirectCandidateGeneratorBuilder cg = new DirectCandidateGeneratorBuilder(in.readString());
|
||||||
|
cg.suggestMode = in.readOptionalString();
|
||||||
|
if (in.readBoolean()) {
|
||||||
|
cg.accuracy = in.readFloat();
|
||||||
|
}
|
||||||
|
cg.size = in.readOptionalVInt();
|
||||||
|
cg.sort = in.readOptionalString();
|
||||||
|
cg.stringDistance = in.readOptionalString();
|
||||||
|
cg.maxEdits = in.readOptionalVInt();
|
||||||
|
cg.maxInspections = in.readOptionalVInt();
|
||||||
|
if (in.readBoolean()) {
|
||||||
|
cg.maxTermFreq = in.readFloat();
|
||||||
|
}
|
||||||
|
cg.prefixLength = in.readOptionalVInt();
|
||||||
|
cg.minWordLength = in.readOptionalVInt();
|
||||||
|
if (in.readBoolean()) {
|
||||||
|
cg.minDocFreq = in.readFloat();
|
||||||
|
}
|
||||||
|
cg.preFilter = in.readOptionalString();
|
||||||
|
cg.postFilter = in.readOptionalString();
|
||||||
|
return cg;
|
||||||
|
}
|
||||||
|
|
||||||
|
@Override
|
||||||
|
public void writeTo(StreamOutput out) throws IOException {
|
||||||
|
out.writeString(field);
|
||||||
|
out.writeOptionalString(suggestMode);
|
||||||
|
out.writeBoolean(accuracy != null);
|
||||||
|
if (accuracy != null) {
|
||||||
|
out.writeFloat(accuracy);
|
||||||
|
}
|
||||||
|
out.writeOptionalVInt(size);
|
||||||
|
out.writeOptionalString(sort);
|
||||||
|
out.writeOptionalString(stringDistance);
|
||||||
|
out.writeOptionalVInt(maxEdits);
|
||||||
|
out.writeOptionalVInt(maxInspections);
|
||||||
|
out.writeBoolean(maxTermFreq != null);
|
||||||
|
if (maxTermFreq != null) {
|
||||||
|
out.writeFloat(maxTermFreq);
|
||||||
|
}
|
||||||
|
out.writeOptionalVInt(prefixLength);
|
||||||
|
out.writeOptionalVInt(minWordLength);
|
||||||
|
out.writeBoolean(minDocFreq != null);
|
||||||
|
if (minDocFreq != null) {
|
||||||
|
out.writeFloat(minDocFreq);
|
||||||
|
}
|
||||||
|
out.writeOptionalString(preFilter);
|
||||||
|
out.writeOptionalString(postFilter);
|
||||||
|
}
|
||||||
|
|
||||||
|
@Override
|
||||||
|
public final int hashCode() {
|
||||||
|
return Objects.hash(field, preFilter, postFilter, suggestMode, accuracy,
|
||||||
|
size, sort, stringDistance, maxEdits, maxInspections,
|
||||||
|
maxTermFreq, prefixLength, minWordLength, minDocFreq);
|
||||||
|
}
|
||||||
|
|
||||||
|
@Override
|
||||||
|
public final boolean equals(Object obj) {
|
||||||
|
if (this == obj) {
|
||||||
|
return true;
|
||||||
|
}
|
||||||
|
if (obj == null || getClass() != obj.getClass()) {
|
||||||
|
return false;
|
||||||
|
}
|
||||||
|
DirectCandidateGeneratorBuilder other = (DirectCandidateGeneratorBuilder) obj;
|
||||||
|
return Objects.equals(field, other.field) &&
|
||||||
|
Objects.equals(preFilter, other.preFilter) &&
|
||||||
|
Objects.equals(postFilter, other.postFilter) &&
|
||||||
|
Objects.equals(suggestMode, other.suggestMode) &&
|
||||||
|
Objects.equals(accuracy, other.accuracy) &&
|
||||||
|
Objects.equals(size, other.size) &&
|
||||||
|
Objects.equals(sort, other.sort) &&
|
||||||
|
Objects.equals(stringDistance, other.stringDistance) &&
|
||||||
|
Objects.equals(maxEdits, other.maxEdits) &&
|
||||||
|
Objects.equals(maxInspections, other.maxInspections) &&
|
||||||
|
Objects.equals(maxTermFreq, other.maxTermFreq) &&
|
||||||
|
Objects.equals(prefixLength, other.prefixLength) &&
|
||||||
|
Objects.equals(minWordLength, other.minWordLength) &&
|
||||||
|
Objects.equals(minDocFreq, other.minDocFreq);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
@ -98,18 +98,10 @@ public final class PhraseSuggestParser implements SuggestContextParser {
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
} else if (token == Token.START_ARRAY) {
|
} else if (token == Token.START_ARRAY) {
|
||||||
if ("direct_generator".equals(fieldName) || "directGenerator".equals(fieldName)) {
|
if (parseFieldMatcher.match(fieldName, DirectCandidateGeneratorBuilder.DIRECT_GENERATOR_FIELD)) {
|
||||||
// for now we only have a single type of generators
|
// for now we only have a single type of generators
|
||||||
while ((token = parser.nextToken()) == Token.START_OBJECT) {
|
while ((token = parser.nextToken()) == Token.START_OBJECT) {
|
||||||
PhraseSuggestionContext.DirectCandidateGenerator generator = new PhraseSuggestionContext.DirectCandidateGenerator();
|
PhraseSuggestionContext.DirectCandidateGenerator generator = parseCandidateGenerator(parser, mapperService, parseFieldMatcher);
|
||||||
while ((token = parser.nextToken()) != Token.END_OBJECT) {
|
|
||||||
if (token == XContentParser.Token.FIELD_NAME) {
|
|
||||||
fieldName = parser.currentName();
|
|
||||||
}
|
|
||||||
if (token.isValue()) {
|
|
||||||
parseCandidateGenerator(parser, mapperService, fieldName, generator, parseFieldMatcher);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
verifyGenerator(generator);
|
verifyGenerator(generator);
|
||||||
suggestion.addGenerator(generator);
|
suggestion.addGenerator(generator);
|
||||||
}
|
}
|
||||||
|
|
@ -323,34 +315,44 @@ public final class PhraseSuggestParser implements SuggestContextParser {
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
private void parseCandidateGenerator(XContentParser parser, MapperService mapperService, String fieldName,
|
static PhraseSuggestionContext.DirectCandidateGenerator parseCandidateGenerator(XContentParser parser, MapperService mapperService,
|
||||||
PhraseSuggestionContext.DirectCandidateGenerator generator, ParseFieldMatcher parseFieldMatcher) throws IOException {
|
ParseFieldMatcher parseFieldMatcher) throws IOException {
|
||||||
if (!SuggestUtils.parseDirectSpellcheckerSettings(parser, fieldName, generator, parseFieldMatcher)) {
|
XContentParser.Token token;
|
||||||
if ("field".equals(fieldName)) {
|
String fieldName = null;
|
||||||
generator.setField(parser.text());
|
PhraseSuggestionContext.DirectCandidateGenerator generator = new PhraseSuggestionContext.DirectCandidateGenerator();
|
||||||
if (mapperService.fullName(generator.field()) == null) {
|
while ((token = parser.nextToken()) != Token.END_OBJECT) {
|
||||||
throw new IllegalArgumentException("No mapping found for field [" + generator.field() + "]");
|
if (token == XContentParser.Token.FIELD_NAME) {
|
||||||
|
fieldName = parser.currentName();
|
||||||
|
}
|
||||||
|
if (token.isValue()) {
|
||||||
|
if (!SuggestUtils.parseDirectSpellcheckerSettings(parser, fieldName, generator, parseFieldMatcher)) {
|
||||||
|
if ("field".equals(fieldName)) {
|
||||||
|
generator.setField(parser.text());
|
||||||
|
if (mapperService.fullName(generator.field()) == null) {
|
||||||
|
throw new IllegalArgumentException("No mapping found for field [" + generator.field() + "]");
|
||||||
|
}
|
||||||
|
} else if ("size".equals(fieldName)) {
|
||||||
|
generator.size(parser.intValue());
|
||||||
|
} else if ("pre_filter".equals(fieldName) || "preFilter".equals(fieldName)) {
|
||||||
|
String analyzerName = parser.text();
|
||||||
|
Analyzer analyzer = mapperService.analysisService().analyzer(analyzerName);
|
||||||
|
if (analyzer == null) {
|
||||||
|
throw new IllegalArgumentException("Analyzer [" + analyzerName + "] doesn't exists");
|
||||||
|
}
|
||||||
|
generator.preFilter(analyzer);
|
||||||
|
} else if ("post_filter".equals(fieldName) || "postFilter".equals(fieldName)) {
|
||||||
|
String analyzerName = parser.text();
|
||||||
|
Analyzer analyzer = mapperService.analysisService().analyzer(analyzerName);
|
||||||
|
if (analyzer == null) {
|
||||||
|
throw new IllegalArgumentException("Analyzer [" + analyzerName + "] doesn't exists");
|
||||||
|
}
|
||||||
|
generator.postFilter(analyzer);
|
||||||
|
} else {
|
||||||
|
throw new IllegalArgumentException("CandidateGenerator doesn't support [" + fieldName + "]");
|
||||||
|
}
|
||||||
}
|
}
|
||||||
} else if ("size".equals(fieldName)) {
|
|
||||||
generator.size(parser.intValue());
|
|
||||||
} else if ("pre_filter".equals(fieldName) || "preFilter".equals(fieldName)) {
|
|
||||||
String analyzerName = parser.text();
|
|
||||||
Analyzer analyzer = mapperService.analysisService().analyzer(analyzerName);
|
|
||||||
if (analyzer == null) {
|
|
||||||
throw new IllegalArgumentException("Analyzer [" + analyzerName + "] doesn't exists");
|
|
||||||
}
|
|
||||||
generator.preFilter(analyzer);
|
|
||||||
} else if ("post_filter".equals(fieldName) || "postFilter".equals(fieldName)) {
|
|
||||||
String analyzerName = parser.text();
|
|
||||||
Analyzer analyzer = mapperService.analysisService().analyzer(analyzerName);
|
|
||||||
if (analyzer == null) {
|
|
||||||
throw new IllegalArgumentException("Analyzer [" + analyzerName + "] doesn't exists");
|
|
||||||
}
|
|
||||||
generator.postFilter(analyzer);
|
|
||||||
} else {
|
|
||||||
throw new IllegalArgumentException("CandidateGenerator doesn't support [" + fieldName + "]");
|
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
return generator;
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
|
||||||
|
|
@ -278,13 +278,13 @@ public final class PhraseSuggestionBuilder extends SuggestionBuilder<PhraseSugge
|
||||||
}
|
}
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* Creates a new {@link DirectCandidateGenerator}
|
* Creates a new {@link DirectCandidateGeneratorBuilder}
|
||||||
*
|
*
|
||||||
* @param field
|
* @param field
|
||||||
* the field this candidate generator operates on.
|
* the field this candidate generator operates on.
|
||||||
*/
|
*/
|
||||||
public static DirectCandidateGenerator candidateGenerator(String field) {
|
public static DirectCandidateGeneratorBuilder candidateGenerator(String field) {
|
||||||
return new DirectCandidateGenerator(field);
|
return new DirectCandidateGeneratorBuilder(field);
|
||||||
}
|
}
|
||||||
|
|
||||||
/**
|
/**
|
||||||
|
|
@ -644,267 +644,11 @@ public final class PhraseSuggestionBuilder extends SuggestionBuilder<PhraseSugge
|
||||||
}
|
}
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* {@link CandidateGenerator} base class.
|
* {@link CandidateGenerator} interface.
|
||||||
*/
|
*/
|
||||||
public static abstract class CandidateGenerator implements ToXContent {
|
public interface CandidateGenerator extends ToXContent {
|
||||||
private final String type;
|
String getType();
|
||||||
|
|
||||||
public CandidateGenerator(String type) {
|
|
||||||
this.type = type;
|
|
||||||
}
|
|
||||||
|
|
||||||
public String getType() {
|
|
||||||
return type;
|
|
||||||
}
|
|
||||||
|
|
||||||
|
CandidateGenerator fromXContent(QueryParseContext parseContext) throws IOException;
|
||||||
}
|
}
|
||||||
|
|
||||||
/**
|
|
||||||
*
|
|
||||||
*
|
|
||||||
*/
|
|
||||||
public static final class DirectCandidateGenerator extends CandidateGenerator {
|
|
||||||
private final String field;
|
|
||||||
private String preFilter;
|
|
||||||
private String postFilter;
|
|
||||||
private String suggestMode;
|
|
||||||
private Float accuracy;
|
|
||||||
private Integer size;
|
|
||||||
private String sort;
|
|
||||||
private String stringDistance;
|
|
||||||
private Integer maxEdits;
|
|
||||||
private Integer maxInspections;
|
|
||||||
private Float maxTermFreq;
|
|
||||||
private Integer prefixLength;
|
|
||||||
private Integer minWordLength;
|
|
||||||
private Float minDocFreq;
|
|
||||||
|
|
||||||
/**
|
|
||||||
* @param field Sets from what field to fetch the candidate suggestions from.
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator(String field) {
|
|
||||||
super("direct_generator");
|
|
||||||
this.field = field;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* The global suggest mode controls what suggested terms are included or
|
|
||||||
* controls for what suggest text tokens, terms should be suggested for.
|
|
||||||
* Three possible values can be specified:
|
|
||||||
* <ol>
|
|
||||||
* <li><code>missing</code> - Only suggest terms in the suggest text
|
|
||||||
* that aren't in the index. This is the default.
|
|
||||||
* <li><code>popular</code> - Only suggest terms that occur in more docs
|
|
||||||
* then the original suggest text term.
|
|
||||||
* <li><code>always</code> - Suggest any matching suggest terms based on
|
|
||||||
* tokens in the suggest text.
|
|
||||||
* </ol>
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator suggestMode(String suggestMode) {
|
|
||||||
this.suggestMode = suggestMode;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Sets how similar the suggested terms at least need to be compared to
|
|
||||||
* the original suggest text tokens. A value between 0 and 1 can be
|
|
||||||
* specified. This value will be compared to the string distance result
|
|
||||||
* of each candidate spelling correction.
|
|
||||||
* <p>
|
|
||||||
* Default is <tt>0.5</tt>
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator accuracy(float accuracy) {
|
|
||||||
this.accuracy = accuracy;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Sets the maximum suggestions to be returned per suggest text term.
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator size(int size) {
|
|
||||||
if (size <= 0) {
|
|
||||||
throw new IllegalArgumentException("Size must be positive");
|
|
||||||
}
|
|
||||||
this.size = size;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Sets how to sort the suggest terms per suggest text token. Two
|
|
||||||
* possible values:
|
|
||||||
* <ol>
|
|
||||||
* <li><code>score</code> - Sort should first be based on score, then
|
|
||||||
* document frequency and then the term itself.
|
|
||||||
* <li><code>frequency</code> - Sort should first be based on document
|
|
||||||
* frequency, then scotr and then the term itself.
|
|
||||||
* </ol>
|
|
||||||
* <p>
|
|
||||||
* What the score is depends on the suggester being used.
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator sort(String sort) {
|
|
||||||
this.sort = sort;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Sets what string distance implementation to use for comparing how
|
|
||||||
* similar suggested terms are. Four possible values can be specified:
|
|
||||||
* <ol>
|
|
||||||
* <li><code>internal</code> - This is the default and is based on
|
|
||||||
* <code>damerau_levenshtein</code>, but highly optimized for comparing
|
|
||||||
* string distance for terms inside the index.
|
|
||||||
* <li><code>damerau_levenshtein</code> - String distance algorithm
|
|
||||||
* based on Damerau-Levenshtein algorithm.
|
|
||||||
* <li><code>levenstein</code> - String distance algorithm based on
|
|
||||||
* Levenstein edit distance algorithm.
|
|
||||||
* <li><code>jarowinkler</code> - String distance algorithm based on
|
|
||||||
* Jaro-Winkler algorithm.
|
|
||||||
* <li><code>ngram</code> - String distance algorithm based on character
|
|
||||||
* n-grams.
|
|
||||||
* </ol>
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator stringDistance(String stringDistance) {
|
|
||||||
this.stringDistance = stringDistance;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Sets the maximum edit distance candidate suggestions can have in
|
|
||||||
* order to be considered as a suggestion. Can only be a value between 1
|
|
||||||
* and 2. Any other value result in an bad request error being thrown.
|
|
||||||
* Defaults to <tt>2</tt>.
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator maxEdits(Integer maxEdits) {
|
|
||||||
this.maxEdits = maxEdits;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* A factor that is used to multiply with the size in order to inspect
|
|
||||||
* more candidate suggestions. Can improve accuracy at the cost of
|
|
||||||
* performance. Defaults to <tt>5</tt>.
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator maxInspections(Integer maxInspections) {
|
|
||||||
this.maxInspections = maxInspections;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Sets a maximum threshold in number of documents a suggest text token
|
|
||||||
* can exist in order to be corrected. Can be a relative percentage
|
|
||||||
* number (e.g 0.4) or an absolute number to represent document
|
|
||||||
* frequencies. If an value higher than 1 is specified then fractional
|
|
||||||
* can not be specified. Defaults to <tt>0.01</tt>.
|
|
||||||
* <p>
|
|
||||||
* This can be used to exclude high frequency terms from being
|
|
||||||
* suggested. High frequency terms are usually spelled correctly on top
|
|
||||||
* of this this also improves the suggest performance.
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator maxTermFreq(float maxTermFreq) {
|
|
||||||
this.maxTermFreq = maxTermFreq;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Sets the number of minimal prefix characters that must match in order
|
|
||||||
* be a candidate suggestion. Defaults to 1. Increasing this number
|
|
||||||
* improves suggest performance. Usually misspellings don't occur in the
|
|
||||||
* beginning of terms.
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator prefixLength(int prefixLength) {
|
|
||||||
this.prefixLength = prefixLength;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* The minimum length a suggest text term must have in order to be
|
|
||||||
* corrected. Defaults to <tt>4</tt>.
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator minWordLength(int minWordLength) {
|
|
||||||
this.minWordLength = minWordLength;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Sets a minimal threshold in number of documents a suggested term
|
|
||||||
* should appear in. This can be specified as an absolute number or as a
|
|
||||||
* relative percentage of number of documents. This can improve quality
|
|
||||||
* by only suggesting high frequency terms. Defaults to 0f and is not
|
|
||||||
* enabled. If a value higher than 1 is specified then the number cannot
|
|
||||||
* be fractional.
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator minDocFreq(float minDocFreq) {
|
|
||||||
this.minDocFreq = minDocFreq;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Sets a filter (analyzer) that is applied to each of the tokens passed to this candidate generator.
|
|
||||||
* This filter is applied to the original token before candidates are generated.
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator preFilter(String preFilter) {
|
|
||||||
this.preFilter = preFilter;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Sets a filter (analyzer) that is applied to each of the generated tokens
|
|
||||||
* before they are passed to the actual phrase scorer.
|
|
||||||
*/
|
|
||||||
public DirectCandidateGenerator postFilter(String postFilter) {
|
|
||||||
this.postFilter = postFilter;
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
|
|
||||||
builder.startObject();
|
|
||||||
if (field != null) {
|
|
||||||
builder.field("field", field);
|
|
||||||
}
|
|
||||||
if (suggestMode != null) {
|
|
||||||
builder.field("suggest_mode", suggestMode);
|
|
||||||
}
|
|
||||||
if (accuracy != null) {
|
|
||||||
builder.field("accuracy", accuracy);
|
|
||||||
}
|
|
||||||
if (size != null) {
|
|
||||||
builder.field("size", size);
|
|
||||||
}
|
|
||||||
if (sort != null) {
|
|
||||||
builder.field("sort", sort);
|
|
||||||
}
|
|
||||||
if (stringDistance != null) {
|
|
||||||
builder.field("string_distance", stringDistance);
|
|
||||||
}
|
|
||||||
if (maxEdits != null) {
|
|
||||||
builder.field("max_edits", maxEdits);
|
|
||||||
}
|
|
||||||
if (maxInspections != null) {
|
|
||||||
builder.field("max_inspections", maxInspections);
|
|
||||||
}
|
|
||||||
if (maxTermFreq != null) {
|
|
||||||
builder.field("max_term_freq", maxTermFreq);
|
|
||||||
}
|
|
||||||
if (prefixLength != null) {
|
|
||||||
builder.field("prefix_length", prefixLength);
|
|
||||||
}
|
|
||||||
if (minWordLength != null) {
|
|
||||||
builder.field("min_word_length", minWordLength);
|
|
||||||
}
|
|
||||||
if (minDocFreq != null) {
|
|
||||||
builder.field("min_doc_freq", minDocFreq);
|
|
||||||
}
|
|
||||||
if (preFilter != null) {
|
|
||||||
builder.field("pre_filter", preFilter);
|
|
||||||
}
|
|
||||||
if (postFilter != null) {
|
|
||||||
builder.field("post_filter", postFilter);
|
|
||||||
}
|
|
||||||
builder.endObject();
|
|
||||||
return builder;
|
|
||||||
}
|
|
||||||
|
|
||||||
}
|
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
|
||||||
|
|
@ -0,0 +1,323 @@
|
||||||
|
/*
|
||||||
|
* 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.phrase;
|
||||||
|
|
||||||
|
import org.apache.lucene.analysis.core.WhitespaceAnalyzer;
|
||||||
|
import org.elasticsearch.common.ParseFieldMatcher;
|
||||||
|
import org.elasticsearch.common.ParsingException;
|
||||||
|
import org.elasticsearch.common.io.stream.BytesStreamOutput;
|
||||||
|
import org.elasticsearch.common.io.stream.StreamInput;
|
||||||
|
import org.elasticsearch.common.settings.Settings;
|
||||||
|
import org.elasticsearch.common.xcontent.ToXContent;
|
||||||
|
import org.elasticsearch.common.xcontent.XContentBuilder;
|
||||||
|
import org.elasticsearch.common.xcontent.XContentFactory;
|
||||||
|
import org.elasticsearch.common.xcontent.XContentHelper;
|
||||||
|
import org.elasticsearch.common.xcontent.XContentParser;
|
||||||
|
import org.elasticsearch.common.xcontent.XContentType;
|
||||||
|
import org.elasticsearch.index.IndexSettings;
|
||||||
|
import org.elasticsearch.index.analysis.AnalysisService;
|
||||||
|
import org.elasticsearch.index.analysis.NamedAnalyzer;
|
||||||
|
import org.elasticsearch.index.mapper.ContentPath;
|
||||||
|
import org.elasticsearch.index.mapper.MappedFieldType;
|
||||||
|
import org.elasticsearch.index.mapper.Mapper;
|
||||||
|
import org.elasticsearch.index.mapper.MapperBuilders;
|
||||||
|
import org.elasticsearch.index.mapper.MapperService;
|
||||||
|
import org.elasticsearch.index.mapper.core.StringFieldMapper;
|
||||||
|
import org.elasticsearch.index.mapper.core.StringFieldMapper.StringFieldType;
|
||||||
|
import org.elasticsearch.index.query.QueryParseContext;
|
||||||
|
import org.elasticsearch.index.query.QueryShardContext;
|
||||||
|
import org.elasticsearch.indices.IndicesModule;
|
||||||
|
import org.elasticsearch.indices.query.IndicesQueriesRegistry;
|
||||||
|
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionContext.DirectCandidateGenerator;
|
||||||
|
import org.elasticsearch.test.ESTestCase;
|
||||||
|
import org.elasticsearch.test.IndexSettingsModule;
|
||||||
|
|
||||||
|
import java.io.IOException;
|
||||||
|
import java.util.Arrays;
|
||||||
|
import java.util.Collections;
|
||||||
|
import java.util.function.Consumer;
|
||||||
|
|
||||||
|
import static org.hamcrest.Matchers.equalTo;
|
||||||
|
|
||||||
|
public class DirectCandidateGeneratorTests extends ESTestCase{
|
||||||
|
|
||||||
|
private static final int NUMBER_OF_RUNS = 20;
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Test serialization and deserialization of the generator
|
||||||
|
*/
|
||||||
|
public void testSerialization() throws IOException {
|
||||||
|
for (int runs = 0; runs < NUMBER_OF_RUNS; runs++) {
|
||||||
|
DirectCandidateGeneratorBuilder original = randomCandidateGenerator();
|
||||||
|
DirectCandidateGeneratorBuilder deserialized = serializedCopy(original);
|
||||||
|
assertEquals(deserialized, original);
|
||||||
|
assertEquals(deserialized.hashCode(), original.hashCode());
|
||||||
|
assertNotSame(deserialized, original);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Test equality and hashCode properties
|
||||||
|
*/
|
||||||
|
public void testEqualsAndHashcode() throws IOException {
|
||||||
|
for (int runs = 0; runs < NUMBER_OF_RUNS; runs++) {
|
||||||
|
DirectCandidateGeneratorBuilder first = randomCandidateGenerator();
|
||||||
|
assertFalse("generator is equal to null", first.equals(null));
|
||||||
|
assertFalse("generator is equal to incompatible type", first.equals(""));
|
||||||
|
assertTrue("generator is not equal to self", first.equals(first));
|
||||||
|
assertThat("same generator's hashcode returns different values if called multiple times", first.hashCode(),
|
||||||
|
equalTo(first.hashCode()));
|
||||||
|
|
||||||
|
DirectCandidateGeneratorBuilder second = serializedCopy(first);
|
||||||
|
assertTrue("generator is not equal to self", second.equals(second));
|
||||||
|
assertTrue("generator is not equal to its copy", first.equals(second));
|
||||||
|
assertTrue("equals is not symmetric", second.equals(first));
|
||||||
|
assertThat("generator copy's hashcode is different from original hashcode", second.hashCode(), equalTo(first.hashCode()));
|
||||||
|
|
||||||
|
DirectCandidateGeneratorBuilder third = serializedCopy(second);
|
||||||
|
assertTrue("generator is not equal to self", third.equals(third));
|
||||||
|
assertTrue("generator is not equal to its copy", second.equals(third));
|
||||||
|
assertThat("generator copy's hashcode is different from original hashcode", second.hashCode(), equalTo(third.hashCode()));
|
||||||
|
assertTrue("equals is not transitive", first.equals(third));
|
||||||
|
assertThat("generator copy's hashcode is different from original hashcode", first.hashCode(), equalTo(third.hashCode()));
|
||||||
|
assertTrue("equals is not symmetric", third.equals(second));
|
||||||
|
assertTrue("equals is not symmetric", third.equals(first));
|
||||||
|
|
||||||
|
// test for non-equality, check that all fields are covered by changing one by one
|
||||||
|
first = new DirectCandidateGeneratorBuilder("aaa");
|
||||||
|
assertEquals(first, serializedCopy(first));
|
||||||
|
second = new DirectCandidateGeneratorBuilder("bbb");
|
||||||
|
assertNotEquals(first, second);
|
||||||
|
assertNotEquals(first.accuracy(0.1f), serializedCopy(first).accuracy(0.2f));
|
||||||
|
assertNotEquals(first.maxEdits(1), serializedCopy(first).maxEdits(2));
|
||||||
|
assertNotEquals(first.maxInspections(1), serializedCopy(first).maxInspections(2));
|
||||||
|
assertNotEquals(first.maxTermFreq(0.1f), serializedCopy(first).maxTermFreq(0.2f));
|
||||||
|
assertNotEquals(first.minDocFreq(0.1f), serializedCopy(first).minDocFreq(0.2f));
|
||||||
|
assertNotEquals(first.minWordLength(1), serializedCopy(first).minWordLength(2));
|
||||||
|
assertNotEquals(first.postFilter("postFilter"), serializedCopy(first).postFilter("postFilter_other"));
|
||||||
|
assertNotEquals(first.preFilter("preFilter"), serializedCopy(first).preFilter("preFilter_other"));
|
||||||
|
assertNotEquals(first.prefixLength(1), serializedCopy(first).prefixLength(2));
|
||||||
|
assertNotEquals(first.size(1), serializedCopy(first).size(2));
|
||||||
|
assertNotEquals(first.sort("score"), serializedCopy(first).sort("frequency"));
|
||||||
|
assertNotEquals(first.stringDistance("levenstein"), serializedCopy(first).sort("ngram"));
|
||||||
|
assertNotEquals(first.suggestMode("missing"), serializedCopy(first).suggestMode("always"));
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* creates random candidate generator, renders it to xContent and back to new instance that should be equal to original
|
||||||
|
*/
|
||||||
|
public void testFromXContent() throws IOException {
|
||||||
|
QueryParseContext context = new QueryParseContext(new IndicesQueriesRegistry(Settings.EMPTY, Collections.emptyMap()));
|
||||||
|
context.parseFieldMatcher(new ParseFieldMatcher(Settings.EMPTY));
|
||||||
|
for (int runs = 0; runs < NUMBER_OF_RUNS; runs++) {
|
||||||
|
DirectCandidateGeneratorBuilder generator = randomCandidateGenerator();
|
||||||
|
XContentBuilder builder = XContentFactory.contentBuilder(randomFrom(XContentType.values()));
|
||||||
|
if (randomBoolean()) {
|
||||||
|
builder.prettyPrint();
|
||||||
|
}
|
||||||
|
generator.toXContent(builder, ToXContent.EMPTY_PARAMS);
|
||||||
|
|
||||||
|
XContentParser parser = XContentHelper.createParser(builder.bytes());
|
||||||
|
context.reset(parser);
|
||||||
|
parser.nextToken();
|
||||||
|
DirectCandidateGeneratorBuilder secondGenerator = DirectCandidateGeneratorBuilder.PROTOTYPE
|
||||||
|
.fromXContent(context);
|
||||||
|
assertNotSame(generator, secondGenerator);
|
||||||
|
assertEquals(generator, secondGenerator);
|
||||||
|
assertEquals(generator.hashCode(), secondGenerator.hashCode());
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* test that build() outputs a {@link DirectCandidateGenerator} that is similar to the one
|
||||||
|
* we would get when parsing the xContent the test generator is rendering out
|
||||||
|
*/
|
||||||
|
public void testBuild() throws IOException {
|
||||||
|
|
||||||
|
long start = System.currentTimeMillis();
|
||||||
|
IndexSettings idxSettings = IndexSettingsModule.newIndexSettings(randomAsciiOfLengthBetween(1, 10), Settings.EMPTY);
|
||||||
|
|
||||||
|
AnalysisService mockAnalysisService = new AnalysisService(idxSettings, Collections.emptyMap(), Collections.emptyMap(), Collections.emptyMap(), Collections.emptyMap()) {
|
||||||
|
@Override
|
||||||
|
public NamedAnalyzer analyzer(String name) {
|
||||||
|
return new NamedAnalyzer(name, new WhitespaceAnalyzer());
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
MapperService mockMapperService = new MapperService(idxSettings, mockAnalysisService , null, new IndicesModule().getMapperRegistry(), null) {
|
||||||
|
@Override
|
||||||
|
public MappedFieldType fullName(String fullName) {
|
||||||
|
return new StringFieldType();
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
QueryShardContext mockShardContext = new QueryShardContext(idxSettings, null, null, null, mockMapperService, null, null, null) {
|
||||||
|
@Override
|
||||||
|
public MappedFieldType fieldMapper(String name) {
|
||||||
|
StringFieldMapper.Builder builder = MapperBuilders.stringField(name);
|
||||||
|
return builder.build(new Mapper.BuilderContext(idxSettings.getSettings(), new ContentPath(1))).fieldType();
|
||||||
|
}
|
||||||
|
};
|
||||||
|
mockShardContext.setMapUnmappedFieldAsString(true);
|
||||||
|
|
||||||
|
for (int runs = 0; runs < NUMBER_OF_RUNS; runs++) {
|
||||||
|
DirectCandidateGeneratorBuilder generator = randomCandidateGenerator();
|
||||||
|
// first, build via DirectCandidateGenerator#build()
|
||||||
|
DirectCandidateGenerator contextGenerator = generator.build(mockShardContext);
|
||||||
|
|
||||||
|
// second, render random test generator to xContent and parse using
|
||||||
|
// PhraseSuggestParser
|
||||||
|
XContentBuilder builder = XContentFactory.contentBuilder(randomFrom(XContentType.values()));
|
||||||
|
if (randomBoolean()) {
|
||||||
|
builder.prettyPrint();
|
||||||
|
}
|
||||||
|
generator.toXContent(builder, ToXContent.EMPTY_PARAMS);
|
||||||
|
XContentParser parser = XContentHelper.createParser(builder.bytes());
|
||||||
|
|
||||||
|
DirectCandidateGenerator secondGenerator = PhraseSuggestParser.parseCandidateGenerator(parser,
|
||||||
|
mockShardContext.getMapperService(), mockShardContext.parseFieldMatcher());
|
||||||
|
|
||||||
|
// compare their properties
|
||||||
|
assertNotSame(contextGenerator, secondGenerator);
|
||||||
|
assertEquals(contextGenerator.field(), secondGenerator.field());
|
||||||
|
assertEquals(contextGenerator.accuracy(), secondGenerator.accuracy(), Float.MIN_VALUE);
|
||||||
|
assertEquals(contextGenerator.maxTermFreq(), secondGenerator.maxTermFreq(), Float.MIN_VALUE);
|
||||||
|
assertEquals(contextGenerator.maxEdits(), secondGenerator.maxEdits());
|
||||||
|
assertEquals(contextGenerator.maxInspections(), secondGenerator.maxInspections());
|
||||||
|
assertEquals(contextGenerator.minDocFreq(), secondGenerator.minDocFreq(), Float.MIN_VALUE);
|
||||||
|
assertEquals(contextGenerator.minWordLength(), secondGenerator.minWordLength());
|
||||||
|
assertEquals(contextGenerator.postFilter(), secondGenerator.postFilter());
|
||||||
|
assertEquals(contextGenerator.prefixLength(), secondGenerator.prefixLength());
|
||||||
|
assertEquals(contextGenerator.preFilter(), secondGenerator.preFilter());
|
||||||
|
assertEquals(contextGenerator.sort(), secondGenerator.sort());
|
||||||
|
assertEquals(contextGenerator.size(), secondGenerator.size());
|
||||||
|
// some instances of StringDistance don't support equals, just checking the class here
|
||||||
|
assertEquals(contextGenerator.stringDistance().getClass(), secondGenerator.stringDistance().getClass());
|
||||||
|
assertEquals(contextGenerator.suggestMode(), secondGenerator.suggestMode());
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* test that bad xContent throws exception
|
||||||
|
*/
|
||||||
|
public void testIllegalXContent() throws IOException {
|
||||||
|
QueryParseContext context = new QueryParseContext(new IndicesQueriesRegistry(Settings.EMPTY, Collections.emptyMap()));
|
||||||
|
context.parseFieldMatcher(new ParseFieldMatcher(Settings.EMPTY));
|
||||||
|
|
||||||
|
// test missing fieldname
|
||||||
|
String directGenerator = "{ }";
|
||||||
|
XContentParser parser = XContentFactory.xContent(directGenerator).createParser(directGenerator);
|
||||||
|
|
||||||
|
context.reset(parser);
|
||||||
|
try {
|
||||||
|
DirectCandidateGeneratorBuilder.PROTOTYPE.fromXContent(context);
|
||||||
|
fail("expected an exception");
|
||||||
|
} catch (IllegalArgumentException e) {
|
||||||
|
assertEquals("[direct_generator] expects exactly one field parameter, but found []", e.getMessage());
|
||||||
|
}
|
||||||
|
|
||||||
|
// test two fieldnames
|
||||||
|
directGenerator = "{ \"field\" : \"f1\", \"field\" : \"f2\" }";
|
||||||
|
parser = XContentFactory.xContent(directGenerator).createParser(directGenerator);
|
||||||
|
|
||||||
|
context.reset(parser);
|
||||||
|
try {
|
||||||
|
DirectCandidateGeneratorBuilder.PROTOTYPE.fromXContent(context);
|
||||||
|
fail("expected an exception");
|
||||||
|
} catch (IllegalArgumentException e) {
|
||||||
|
assertEquals("[direct_generator] expects exactly one field parameter, but found [f2, f1]", e.getMessage());
|
||||||
|
}
|
||||||
|
|
||||||
|
// test unknown field
|
||||||
|
directGenerator = "{ \"unknown_param\" : \"f1\" }";
|
||||||
|
parser = XContentFactory.xContent(directGenerator).createParser(directGenerator);
|
||||||
|
|
||||||
|
context.reset(parser);
|
||||||
|
try {
|
||||||
|
DirectCandidateGeneratorBuilder.PROTOTYPE.fromXContent(context);
|
||||||
|
fail("expected an exception");
|
||||||
|
} catch (IllegalArgumentException e) {
|
||||||
|
assertEquals("[direct_generator] unknown field [unknown_param], parser not found", e.getMessage());
|
||||||
|
}
|
||||||
|
|
||||||
|
// test bad value for field (e.g. size expects an int)
|
||||||
|
directGenerator = "{ \"size\" : \"xxl\" }";
|
||||||
|
parser = XContentFactory.xContent(directGenerator).createParser(directGenerator);
|
||||||
|
|
||||||
|
context.reset(parser);
|
||||||
|
try {
|
||||||
|
DirectCandidateGeneratorBuilder.PROTOTYPE.fromXContent(context);
|
||||||
|
fail("expected an exception");
|
||||||
|
} catch (ParsingException e) {
|
||||||
|
assertEquals("[direct_generator] failed to parse field [size]", e.getMessage());
|
||||||
|
}
|
||||||
|
|
||||||
|
// test unexpected token
|
||||||
|
directGenerator = "{ \"size\" : [ \"xxl\" ] }";
|
||||||
|
parser = XContentFactory.xContent(directGenerator).createParser(directGenerator);
|
||||||
|
|
||||||
|
context.reset(parser);
|
||||||
|
try {
|
||||||
|
DirectCandidateGeneratorBuilder.PROTOTYPE.fromXContent(context);
|
||||||
|
fail("expected an exception");
|
||||||
|
} catch (IllegalArgumentException e) {
|
||||||
|
assertEquals("[direct_generator] size doesn't support values of type: START_ARRAY", e.getMessage());
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* create random {@link DirectCandidateGeneratorBuilder}
|
||||||
|
*/
|
||||||
|
public static DirectCandidateGeneratorBuilder randomCandidateGenerator() {
|
||||||
|
DirectCandidateGeneratorBuilder generator = new DirectCandidateGeneratorBuilder(randomAsciiOfLength(10));
|
||||||
|
maybeSet(generator::accuracy, randomFloat());
|
||||||
|
maybeSet(generator::maxEdits, randomIntBetween(1, 2));
|
||||||
|
maybeSet(generator::maxInspections, randomIntBetween(1, 20));
|
||||||
|
maybeSet(generator::maxTermFreq, randomFloat());
|
||||||
|
maybeSet(generator::minDocFreq, randomFloat());
|
||||||
|
maybeSet(generator::minWordLength, randomIntBetween(1, 20));
|
||||||
|
maybeSet(generator::prefixLength, randomIntBetween(1, 20));
|
||||||
|
maybeSet(generator::preFilter, randomAsciiOfLengthBetween(1, 20));
|
||||||
|
maybeSet(generator::postFilter, randomAsciiOfLengthBetween(1, 20));
|
||||||
|
maybeSet(generator::size, randomIntBetween(1, 20));
|
||||||
|
maybeSet(generator::sort, randomFrom(Arrays.asList(new String[]{ "score", "frequency" })));
|
||||||
|
maybeSet(generator::stringDistance, randomFrom(Arrays.asList(new String[]{ "internal", "damerau_levenshtein", "levenstein", "jarowinkler", "ngram"})));
|
||||||
|
maybeSet(generator::suggestMode, randomFrom(Arrays.asList(new String[]{ "missing", "popular", "always"})));
|
||||||
|
return generator;
|
||||||
|
}
|
||||||
|
|
||||||
|
private static <T> void maybeSet(Consumer<T> consumer, T value) {
|
||||||
|
if (randomBoolean()) {
|
||||||
|
consumer.accept(value);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
private static DirectCandidateGeneratorBuilder serializedCopy(DirectCandidateGeneratorBuilder original) throws IOException {
|
||||||
|
try (BytesStreamOutput output = new BytesStreamOutput()) {
|
||||||
|
original.writeTo(output);
|
||||||
|
try (StreamInput in = StreamInput.wrap(output.bytes())) {
|
||||||
|
return DirectCandidateGeneratorBuilder.PROTOTYPE.readFrom(in);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
@ -578,6 +578,10 @@ to index a document only if it doesn't already exist.
|
||||||
|
|
||||||
`RecoreBuilder.Rescorer` was merged with `RescoreBuilder`, which now is an abstract superclass. QueryRescoreBuilder currently is its only implementation.
|
`RecoreBuilder.Rescorer` was merged with `RescoreBuilder`, which now is an abstract superclass. QueryRescoreBuilder currently is its only implementation.
|
||||||
|
|
||||||
|
==== PhraseSuggestionBuilder
|
||||||
|
|
||||||
|
The inner DirectCandidateGenerator class has been moved out to its own class called DirectCandidateGeneratorBuilder.
|
||||||
|
|
||||||
[[breaking_30_cache_concurrency]]
|
[[breaking_30_cache_concurrency]]
|
||||||
=== Cache concurrency level settings removed
|
=== Cache concurrency level settings removed
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -20,43 +20,6 @@
|
||||||
package org.elasticsearch.messy.tests;
|
package org.elasticsearch.messy.tests;
|
||||||
|
|
||||||
|
|
||||||
import org.elasticsearch.ElasticsearchException;
|
|
||||||
import org.elasticsearch.action.admin.indices.create.CreateIndexRequestBuilder;
|
|
||||||
import org.elasticsearch.action.index.IndexRequestBuilder;
|
|
||||||
import org.elasticsearch.action.search.ReduceSearchPhaseException;
|
|
||||||
import org.elasticsearch.action.search.SearchPhaseExecutionException;
|
|
||||||
import org.elasticsearch.action.search.SearchRequestBuilder;
|
|
||||||
import org.elasticsearch.action.search.SearchResponse;
|
|
||||||
import org.elasticsearch.action.search.ShardSearchFailure;
|
|
||||||
import org.elasticsearch.action.suggest.SuggestRequestBuilder;
|
|
||||||
import org.elasticsearch.action.suggest.SuggestResponse;
|
|
||||||
import org.elasticsearch.common.io.PathUtils;
|
|
||||||
import org.elasticsearch.common.xcontent.XContentBuilder;
|
|
||||||
import org.elasticsearch.common.xcontent.XContentFactory;
|
|
||||||
import org.elasticsearch.plugins.Plugin;
|
|
||||||
import org.elasticsearch.script.mustache.MustachePlugin;
|
|
||||||
import org.elasticsearch.search.suggest.Suggest;
|
|
||||||
import org.elasticsearch.search.suggest.SuggestBuilder;
|
|
||||||
import org.elasticsearch.search.suggest.SuggestBuilder.SuggestionBuilder;
|
|
||||||
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
|
|
||||||
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder.DirectCandidateGenerator;
|
|
||||||
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
|
|
||||||
import org.elasticsearch.test.ESIntegTestCase;
|
|
||||||
import org.elasticsearch.test.hamcrest.ElasticsearchAssertions;
|
|
||||||
|
|
||||||
import java.io.IOException;
|
|
||||||
import java.net.URISyntaxException;
|
|
||||||
import java.nio.charset.StandardCharsets;
|
|
||||||
import java.nio.file.Files;
|
|
||||||
import java.util.ArrayList;
|
|
||||||
import java.util.Arrays;
|
|
||||||
import java.util.Collection;
|
|
||||||
import java.util.Collections;
|
|
||||||
import java.util.HashMap;
|
|
||||||
import java.util.List;
|
|
||||||
import java.util.Map;
|
|
||||||
import java.util.concurrent.ExecutionException;
|
|
||||||
|
|
||||||
import static org.elasticsearch.cluster.metadata.IndexMetaData.SETTING_NUMBER_OF_REPLICAS;
|
import static org.elasticsearch.cluster.metadata.IndexMetaData.SETTING_NUMBER_OF_REPLICAS;
|
||||||
import static org.elasticsearch.cluster.metadata.IndexMetaData.SETTING_NUMBER_OF_SHARDS;
|
import static org.elasticsearch.cluster.metadata.IndexMetaData.SETTING_NUMBER_OF_SHARDS;
|
||||||
import static org.elasticsearch.common.settings.Settings.settingsBuilder;
|
import static org.elasticsearch.common.settings.Settings.settingsBuilder;
|
||||||
|
|
@ -76,6 +39,43 @@ import static org.hamcrest.Matchers.equalTo;
|
||||||
import static org.hamcrest.Matchers.instanceOf;
|
import static org.hamcrest.Matchers.instanceOf;
|
||||||
import static org.hamcrest.Matchers.nullValue;
|
import static org.hamcrest.Matchers.nullValue;
|
||||||
|
|
||||||
|
import java.io.IOException;
|
||||||
|
import java.net.URISyntaxException;
|
||||||
|
import java.nio.charset.StandardCharsets;
|
||||||
|
import java.nio.file.Files;
|
||||||
|
import java.util.ArrayList;
|
||||||
|
import java.util.Arrays;
|
||||||
|
import java.util.Collection;
|
||||||
|
import java.util.Collections;
|
||||||
|
import java.util.HashMap;
|
||||||
|
import java.util.List;
|
||||||
|
import java.util.Map;
|
||||||
|
import java.util.concurrent.ExecutionException;
|
||||||
|
|
||||||
|
import org.elasticsearch.ElasticsearchException;
|
||||||
|
import org.elasticsearch.action.admin.indices.create.CreateIndexRequestBuilder;
|
||||||
|
import org.elasticsearch.action.index.IndexRequestBuilder;
|
||||||
|
import org.elasticsearch.action.search.ReduceSearchPhaseException;
|
||||||
|
import org.elasticsearch.action.search.SearchPhaseExecutionException;
|
||||||
|
import org.elasticsearch.action.search.SearchRequestBuilder;
|
||||||
|
import org.elasticsearch.action.search.SearchResponse;
|
||||||
|
import org.elasticsearch.action.search.ShardSearchFailure;
|
||||||
|
import org.elasticsearch.action.suggest.SuggestRequestBuilder;
|
||||||
|
import org.elasticsearch.action.suggest.SuggestResponse;
|
||||||
|
import org.elasticsearch.common.io.PathUtils;
|
||||||
|
import org.elasticsearch.common.xcontent.XContentBuilder;
|
||||||
|
import org.elasticsearch.common.xcontent.XContentFactory;
|
||||||
|
import org.elasticsearch.plugins.Plugin;
|
||||||
|
import org.elasticsearch.script.mustache.MustachePlugin;
|
||||||
|
import org.elasticsearch.search.suggest.Suggest;
|
||||||
|
import org.elasticsearch.search.suggest.SuggestBuilder;
|
||||||
|
import org.elasticsearch.search.suggest.SuggestBuilder.SuggestionBuilder;
|
||||||
|
import org.elasticsearch.search.suggest.phrase.DirectCandidateGeneratorBuilder;
|
||||||
|
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
|
||||||
|
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
|
||||||
|
import org.elasticsearch.test.ESIntegTestCase;
|
||||||
|
import org.elasticsearch.test.hamcrest.ElasticsearchAssertions;
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* Integration tests for term and phrase suggestions. Many of these tests many requests that vary only slightly from one another. Where
|
* Integration tests for term and phrase suggestions. Many of these tests many requests that vary only slightly from one another. Where
|
||||||
* possible these tests should declare for the first request, make the request, modify the configuration for the next request, make that
|
* possible these tests should declare for the first request, make the request, modify the configuration for the next request, make that
|
||||||
|
|
@ -213,7 +213,7 @@ public class SuggestSearchTests extends ESIntegTestCase {
|
||||||
index("test", "type1", "3", "name", "I like ice cream.");
|
index("test", "type1", "3", "name", "I like ice cream.");
|
||||||
refresh();
|
refresh();
|
||||||
|
|
||||||
DirectCandidateGenerator generator = candidateGenerator("name").prefixLength(0).minWordLength(0).suggestMode("always").maxEdits(2);
|
DirectCandidateGeneratorBuilder generator = candidateGenerator("name").prefixLength(0).minWordLength(0).suggestMode("always").maxEdits(2);
|
||||||
PhraseSuggestionBuilder phraseSuggestion = phraseSuggestion("did_you_mean").field("name.shingled")
|
PhraseSuggestionBuilder phraseSuggestion = phraseSuggestion("did_you_mean").field("name.shingled")
|
||||||
.addCandidateGenerator(generator)
|
.addCandidateGenerator(generator)
|
||||||
.gramSize(3);
|
.gramSize(3);
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue