Merge branch 'master' into hlclient/add-delete-method

This commit is contained in:
David Pilato 2017-02-24 09:23:03 +01:00
commit 3e4b917066
22 changed files with 797 additions and 1251 deletions

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@ -140,6 +140,7 @@ import org.elasticsearch.index.analysis.UniqueTokenFilterFactory;
import org.elasticsearch.index.analysis.UpperCaseTokenFilterFactory;
import org.elasticsearch.index.analysis.WhitespaceAnalyzerProvider;
import org.elasticsearch.index.analysis.WhitespaceTokenizerFactory;
import org.elasticsearch.index.analysis.WordDelimiterGraphTokenFilterFactory;
import org.elasticsearch.index.analysis.WordDelimiterTokenFilterFactory;
import org.elasticsearch.index.analysis.compound.DictionaryCompoundWordTokenFilterFactory;
import org.elasticsearch.index.analysis.compound.HyphenationCompoundWordTokenFilterFactory;
@ -225,6 +226,7 @@ public final class AnalysisModule {
tokenFilters.register("snowball", SnowballTokenFilterFactory::new);
tokenFilters.register("stemmer", StemmerTokenFilterFactory::new);
tokenFilters.register("word_delimiter", WordDelimiterTokenFilterFactory::new);
tokenFilters.register("word_delimiter_graph", WordDelimiterGraphTokenFilterFactory::new);
tokenFilters.register("delimited_payload_filter", DelimitedPayloadTokenFilterFactory::new);
tokenFilters.register("elision", ElisionTokenFilterFactory::new);
tokenFilters.register("flatten_graph", FlattenGraphTokenFilterFactory::new);

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@ -51,6 +51,7 @@ import org.apache.lucene.analysis.miscellaneous.TrimFilter;
import org.apache.lucene.analysis.miscellaneous.TruncateTokenFilter;
import org.apache.lucene.analysis.miscellaneous.UniqueTokenFilter;
import org.apache.lucene.analysis.miscellaneous.WordDelimiterFilter;
import org.apache.lucene.analysis.miscellaneous.WordDelimiterGraphFilter;
import org.apache.lucene.analysis.ngram.EdgeNGramTokenFilter;
import org.apache.lucene.analysis.ngram.NGramTokenFilter;
import org.apache.lucene.analysis.payloads.DelimitedPayloadTokenFilter;
@ -87,6 +88,18 @@ public enum PreBuiltTokenFilters {
}
},
WORD_DELIMITER_GRAPH(CachingStrategy.ONE) {
@Override
public TokenStream create(TokenStream tokenStream, Version version) {
return new WordDelimiterGraphFilter(tokenStream,
WordDelimiterGraphFilter.GENERATE_WORD_PARTS |
WordDelimiterGraphFilter.GENERATE_NUMBER_PARTS |
WordDelimiterGraphFilter.SPLIT_ON_CASE_CHANGE |
WordDelimiterGraphFilter.SPLIT_ON_NUMERICS |
WordDelimiterGraphFilter.STEM_ENGLISH_POSSESSIVE, null);
}
},
STOP(CachingStrategy.LUCENE) {
@Override
public TokenStream create(TokenStream tokenStream, Version version) {

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@ -21,6 +21,7 @@ package org.elasticsearch.search.fetch.subphase.highlight;
import org.apache.lucene.search.highlight.SimpleFragmenter;
import org.apache.lucene.search.highlight.SimpleSpanFragmenter;
import org.elasticsearch.Version;
import org.elasticsearch.action.support.ToXContentToBytes;
import org.elasticsearch.common.ParseField;
import org.elasticsearch.common.ParsingException;
@ -32,10 +33,12 @@ import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentParser;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryParseContext;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder.BoundaryScannerType;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder.Order;
import java.io.IOException;
import java.util.Arrays;
import java.util.Locale;
import java.util.Map;
import java.util.Objects;
import java.util.function.BiFunction;
@ -57,8 +60,10 @@ public abstract class AbstractHighlighterBuilder<HB extends AbstractHighlighterB
public static final ParseField NUMBER_OF_FRAGMENTS_FIELD = new ParseField("number_of_fragments");
public static final ParseField ENCODER_FIELD = new ParseField("encoder");
public static final ParseField REQUIRE_FIELD_MATCH_FIELD = new ParseField("require_field_match");
public static final ParseField BOUNDARY_SCANNER_FIELD = new ParseField("boundary_scanner");
public static final ParseField BOUNDARY_MAX_SCAN_FIELD = new ParseField("boundary_max_scan");
public static final ParseField BOUNDARY_CHARS_FIELD = new ParseField("boundary_chars");
public static final ParseField BOUNDARY_SCANNER_LOCALE_FIELD = new ParseField("boundary_scanner_locale");
public static final ParseField TYPE_FIELD = new ParseField("type");
public static final ParseField FRAGMENTER_FIELD = new ParseField("fragmenter");
public static final ParseField NO_MATCH_SIZE_FIELD = new ParseField("no_match_size");
@ -88,10 +93,14 @@ public abstract class AbstractHighlighterBuilder<HB extends AbstractHighlighterB
protected Boolean forceSource;
protected BoundaryScannerType boundaryScannerType;
protected Integer boundaryMaxScan;
protected char[] boundaryChars;
protected Locale boundaryScannerLocale;
protected Integer noMatchSize;
protected Integer phraseLimit;
@ -119,10 +128,18 @@ public abstract class AbstractHighlighterBuilder<HB extends AbstractHighlighterB
order(in.readOptionalWriteable(Order::readFromStream));
highlightFilter(in.readOptionalBoolean());
forceSource(in.readOptionalBoolean());
if (in.getVersion().onOrAfter(Version.V_5_4_0_UNRELEASED)) {
boundaryScannerType(in.readOptionalWriteable(BoundaryScannerType::readFromStream));
}
boundaryMaxScan(in.readOptionalVInt());
if (in.readBoolean()) {
boundaryChars(in.readString().toCharArray());
}
if (in.getVersion().onOrAfter(Version.V_5_4_0_UNRELEASED)) {
if (in.readBoolean()) {
boundaryScannerLocale(in.readString());
}
}
noMatchSize(in.readOptionalVInt());
phraseLimit(in.readOptionalVInt());
if (in.readBoolean()) {
@ -150,12 +167,22 @@ public abstract class AbstractHighlighterBuilder<HB extends AbstractHighlighterB
out.writeOptionalWriteable(order);
out.writeOptionalBoolean(highlightFilter);
out.writeOptionalBoolean(forceSource);
if (out.getVersion().onOrAfter(Version.V_5_4_0_UNRELEASED)) {
out.writeOptionalWriteable(boundaryScannerType);
}
out.writeOptionalVInt(boundaryMaxScan);
boolean hasBounaryChars = boundaryChars != null;
out.writeBoolean(hasBounaryChars);
if (hasBounaryChars) {
out.writeString(String.valueOf(boundaryChars));
}
if (out.getVersion().onOrAfter(Version.V_5_4_0_UNRELEASED)) {
boolean hasBoundaryScannerLocale = boundaryScannerLocale != null;
out.writeBoolean(hasBoundaryScannerLocale);
if (hasBoundaryScannerLocale) {
out.writeString(boundaryScannerLocale.toLanguageTag());
}
}
out.writeOptionalVInt(noMatchSize);
out.writeOptionalVInt(phraseLimit);
boolean hasOptions = options != null;
@ -331,6 +358,33 @@ public abstract class AbstractHighlighterBuilder<HB extends AbstractHighlighterB
return this.highlightFilter;
}
/**
* When using the highlighterType <tt>fvh</tt> this setting
* controls which scanner to use for fragment boundaries, and defaults to "simple".
*/
@SuppressWarnings("unchecked")
public HB boundaryScannerType(String boundaryScannerType) {
this.boundaryScannerType = BoundaryScannerType.fromString(boundaryScannerType);
return (HB) this;
}
/**
* When using the highlighterType <tt>fvh</tt> this setting
* controls which scanner to use for fragment boundaries, and defaults to "simple".
*/
@SuppressWarnings("unchecked")
public HB boundaryScannerType(BoundaryScannerType boundaryScannerType) {
this.boundaryScannerType = boundaryScannerType;
return (HB) this;
}
/**
* @return the value set by {@link #boundaryScannerType(String)}
*/
public BoundaryScannerType boundaryScannerType() {
return this.boundaryScannerType;
}
/**
* When using the highlighterType <tt>fvh</tt> this setting
* controls how far to look for boundary characters, and defaults to 20.
@ -366,6 +420,25 @@ public abstract class AbstractHighlighterBuilder<HB extends AbstractHighlighterB
return this.boundaryChars;
}
/**
* When using the highlighterType <tt>fvh</tt> and boundaryScannerType <tt>break_iterator</tt>, this setting
* controls the locale to use by the BreakIterator, defaults to "root".
*/
@SuppressWarnings("unchecked")
public HB boundaryScannerLocale(String boundaryScannerLocale) {
if (boundaryScannerLocale != null) {
this.boundaryScannerLocale = Locale.forLanguageTag(boundaryScannerLocale);
}
return (HB) this;
}
/**
* @return the value set by {@link #boundaryScannerLocale(String)}
*/
public Locale boundaryScannerLocale() {
return this.boundaryScannerLocale;
}
/**
* Allows to set custom options for custom highlighters.
*/
@ -491,12 +564,18 @@ public abstract class AbstractHighlighterBuilder<HB extends AbstractHighlighterB
if (highlightFilter != null) {
builder.field(HIGHLIGHT_FILTER_FIELD.getPreferredName(), highlightFilter);
}
if (boundaryScannerType != null) {
builder.field(BOUNDARY_SCANNER_FIELD.getPreferredName(), boundaryScannerType.name());
}
if (boundaryMaxScan != null) {
builder.field(BOUNDARY_MAX_SCAN_FIELD.getPreferredName(), boundaryMaxScan);
}
if (boundaryChars != null) {
builder.field(BOUNDARY_CHARS_FIELD.getPreferredName(), new String(boundaryChars));
}
if (boundaryScannerLocale != null) {
builder.field(BOUNDARY_SCANNER_LOCALE_FIELD.getPreferredName(), boundaryScannerLocale.toLanguageTag());
}
if (options != null && options.size() > 0) {
builder.field(OPTIONS_FIELD.getPreferredName(), options);
}
@ -523,8 +602,10 @@ public abstract class AbstractHighlighterBuilder<HB extends AbstractHighlighterB
parser.declareInt(HB::fragmentSize, FRAGMENT_SIZE_FIELD);
parser.declareInt(HB::numOfFragments, NUMBER_OF_FRAGMENTS_FIELD);
parser.declareBoolean(HB::requireFieldMatch, REQUIRE_FIELD_MATCH_FIELD);
parser.declareString(HB::boundaryScannerType, BOUNDARY_SCANNER_FIELD);
parser.declareInt(HB::boundaryMaxScan, BOUNDARY_MAX_SCAN_FIELD);
parser.declareString((HB hb, String bc) -> hb.boundaryChars(bc.toCharArray()) , BOUNDARY_CHARS_FIELD);
parser.declareString(HB::boundaryScannerLocale, BOUNDARY_SCANNER_LOCALE_FIELD);
parser.declareString(HB::highlighterType, TYPE_FIELD);
parser.declareString(HB::fragmenter, FRAGMENTER_FIELD);
parser.declareInt(HB::noMatchSize, NO_MATCH_SIZE_FIELD);
@ -562,8 +643,8 @@ public abstract class AbstractHighlighterBuilder<HB extends AbstractHighlighterB
public final int hashCode() {
return Objects.hash(getClass(), Arrays.hashCode(preTags), Arrays.hashCode(postTags), fragmentSize,
numOfFragments, highlighterType, fragmenter, highlightQuery, order, highlightFilter,
forceSource, boundaryMaxScan, Arrays.hashCode(boundaryChars), noMatchSize,
phraseLimit, options, requireFieldMatch, doHashCode());
forceSource, boundaryScannerType, boundaryMaxScan, Arrays.hashCode(boundaryChars), boundaryScannerLocale,
noMatchSize, phraseLimit, options, requireFieldMatch, doHashCode());
}
/**
@ -591,8 +672,10 @@ public abstract class AbstractHighlighterBuilder<HB extends AbstractHighlighterB
Objects.equals(order, other.order) &&
Objects.equals(highlightFilter, other.highlightFilter) &&
Objects.equals(forceSource, other.forceSource) &&
Objects.equals(boundaryScannerType, other.boundaryScannerType) &&
Objects.equals(boundaryMaxScan, other.boundaryMaxScan) &&
Arrays.equals(boundaryChars, other.boundaryChars) &&
Objects.equals(boundaryScannerLocale, other.boundaryScannerLocale) &&
Objects.equals(noMatchSize, other.noMatchSize) &&
Objects.equals(phraseLimit, other.phraseLimit) &&
Objects.equals(options, other.options) &&

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@ -21,6 +21,7 @@ package org.elasticsearch.search.fetch.subphase.highlight;
import org.apache.lucene.search.highlight.Encoder;
import org.apache.lucene.search.vectorhighlight.BaseFragmentsBuilder;
import org.apache.lucene.search.vectorhighlight.BoundaryScanner;
import org.apache.lucene.search.vectorhighlight.BreakIteratorBoundaryScanner;
import org.apache.lucene.search.vectorhighlight.CustomFieldQuery;
import org.apache.lucene.search.vectorhighlight.FieldFragList;
import org.apache.lucene.search.vectorhighlight.FieldPhraseList.WeightedPhraseInfo;
@ -38,15 +39,23 @@ import org.elasticsearch.common.text.Text;
import org.elasticsearch.index.mapper.FieldMapper;
import org.elasticsearch.search.fetch.FetchPhaseExecutionException;
import org.elasticsearch.search.fetch.FetchSubPhase;
import org.elasticsearch.search.fetch.subphase.highlight.SearchContextHighlight.Field;
import org.elasticsearch.search.fetch.subphase.highlight.SearchContextHighlight.FieldOptions;
import org.elasticsearch.search.internal.SearchContext;
import java.text.BreakIterator;
import java.util.Collections;
import java.util.HashMap;
import java.util.Locale;
import java.util.Map;
public class FastVectorHighlighter implements Highlighter {
private static final SimpleBoundaryScanner DEFAULT_BOUNDARY_SCANNER = new SimpleBoundaryScanner();
private static final BoundaryScanner DEFAULT_SIMPLE_BOUNDARY_SCANNER = new SimpleBoundaryScanner();
private static final BoundaryScanner DEFAULT_SENTENCE_BOUNDARY_SCANNER = new BreakIteratorBoundaryScanner(
BreakIterator.getSentenceInstance(Locale.ROOT));
private static final BoundaryScanner DEFAULT_WORD_BOUNDARY_SCANNER = new BreakIteratorBoundaryScanner(
BreakIterator.getWordInstance(Locale.ROOT));
public static final Setting<Boolean> SETTING_TV_HIGHLIGHT_MULTI_VALUE = Setting.boolSetting("search.highlight.term_vector_multi_value",
true, Setting.Property.NodeScope);
@ -105,12 +114,7 @@ public class FastVectorHighlighter implements Highlighter {
FragListBuilder fragListBuilder;
BaseFragmentsBuilder fragmentsBuilder;
BoundaryScanner boundaryScanner = DEFAULT_BOUNDARY_SCANNER;
if (field.fieldOptions().boundaryMaxScan() != SimpleBoundaryScanner.DEFAULT_MAX_SCAN
|| field.fieldOptions().boundaryChars() != SimpleBoundaryScanner.DEFAULT_BOUNDARY_CHARS) {
boundaryScanner = new SimpleBoundaryScanner(field.fieldOptions().boundaryMaxScan(),
field.fieldOptions().boundaryChars());
}
final BoundaryScanner boundaryScanner = getBoundaryScanner(field);
boolean forceSource = context.highlight().forceSource(field);
if (field.fieldOptions().numberOfFragments() == 0) {
fragListBuilder = new SingleFragListBuilder();
@ -206,6 +210,29 @@ public class FastVectorHighlighter implements Highlighter {
&& fieldMapper.fieldType().storeTermVectorPositions();
}
private static BoundaryScanner getBoundaryScanner(Field field) {
final FieldOptions fieldOptions = field.fieldOptions();
final Locale boundaryScannerLocale = fieldOptions.boundaryScannerLocale();
switch(fieldOptions.boundaryScannerType()) {
case SENTENCE:
if (boundaryScannerLocale != null) {
return new BreakIteratorBoundaryScanner(BreakIterator.getSentenceInstance(boundaryScannerLocale));
}
return DEFAULT_SENTENCE_BOUNDARY_SCANNER;
case WORD:
if (boundaryScannerLocale != null) {
return new BreakIteratorBoundaryScanner(BreakIterator.getWordInstance(boundaryScannerLocale));
}
return DEFAULT_WORD_BOUNDARY_SCANNER;
default:
if (fieldOptions.boundaryMaxScan() != SimpleBoundaryScanner.DEFAULT_MAX_SCAN
|| fieldOptions.boundaryChars() != SimpleBoundaryScanner.DEFAULT_BOUNDARY_CHARS) {
return new SimpleBoundaryScanner(fieldOptions.boundaryMaxScan(), fieldOptions.boundaryChars());
}
return DEFAULT_SIMPLE_BOUNDARY_SCANNER;
}
}
private class MapperHighlightEntry {
public FragListBuilder fragListBuilder;
public FragmentsBuilder fragmentsBuilder;

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@ -95,9 +95,9 @@ public class HighlightBuilder extends AbstractHighlighterBuilder<HighlightBuilde
.preTags(DEFAULT_PRE_TAGS).postTags(DEFAULT_POST_TAGS).scoreOrdered(DEFAULT_SCORE_ORDERED)
.highlightFilter(DEFAULT_HIGHLIGHT_FILTER).requireFieldMatch(DEFAULT_REQUIRE_FIELD_MATCH)
.forceSource(DEFAULT_FORCE_SOURCE).fragmentCharSize(DEFAULT_FRAGMENT_CHAR_SIZE)
.numberOfFragments(DEFAULT_NUMBER_OF_FRAGMENTS).encoder(DEFAULT_ENCODER)
.numberOfFragments(DEFAULT_NUMBER_OF_FRAGMENTS).encoder(DEFAULT_ENCODER).boundaryScannerType(BoundaryScannerType.CHARS)
.boundaryMaxScan(SimpleBoundaryScanner.DEFAULT_MAX_SCAN).boundaryChars(SimpleBoundaryScanner.DEFAULT_BOUNDARY_CHARS)
.noMatchSize(DEFAULT_NO_MATCH_SIZE).phraseLimit(DEFAULT_PHRASE_LIMIT).build();
.boundaryScannerLocale(Locale.ROOT).noMatchSize(DEFAULT_NO_MATCH_SIZE).phraseLimit(DEFAULT_PHRASE_LIMIT).build();
private final List<Field> fields = new ArrayList<>();
@ -327,12 +327,18 @@ public class HighlightBuilder extends AbstractHighlighterBuilder<HighlightBuilde
if (highlighterBuilder.requireFieldMatch != null) {
targetOptionsBuilder.requireFieldMatch(highlighterBuilder.requireFieldMatch);
}
if (highlighterBuilder.boundaryScannerType != null) {
targetOptionsBuilder.boundaryScannerType(highlighterBuilder.boundaryScannerType);
}
if (highlighterBuilder.boundaryMaxScan != null) {
targetOptionsBuilder.boundaryMaxScan(highlighterBuilder.boundaryMaxScan);
}
if (highlighterBuilder.boundaryChars != null) {
targetOptionsBuilder.boundaryChars(convertCharArray(highlighterBuilder.boundaryChars));
}
if (highlighterBuilder.boundaryScannerLocale != null) {
targetOptionsBuilder.boundaryScannerLocale(highlighterBuilder.boundaryScannerLocale);
}
if (highlighterBuilder.highlighterType != null) {
targetOptionsBuilder.highlighterType(highlighterBuilder.highlighterType);
}
@ -522,4 +528,30 @@ public class HighlightBuilder extends AbstractHighlighterBuilder<HighlightBuilde
return name().toLowerCase(Locale.ROOT);
}
}
public enum BoundaryScannerType implements Writeable {
CHARS, WORD, SENTENCE;
public static BoundaryScannerType readFromStream(StreamInput in) throws IOException {
int ordinal = in.readVInt();
if (ordinal < 0 || ordinal >= values().length) {
throw new IOException("Unknown BoundaryScannerType ordinal [" + ordinal + "]");
}
return values()[ordinal];
}
@Override
public void writeTo(StreamOutput out) throws IOException {
out.writeVInt(this.ordinal());
}
public static BoundaryScannerType fromString(String boundaryScannerType) {
return valueOf(boundaryScannerType.toUpperCase(Locale.ROOT));
}
@Override
public String toString() {
return name().toLowerCase(Locale.ROOT);
}
}
}

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@ -20,11 +20,13 @@
package org.elasticsearch.search.fetch.subphase.highlight;
import org.apache.lucene.search.Query;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder.BoundaryScannerType;
import java.util.Arrays;
import java.util.Collection;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.Locale;
import java.util.Map;
import java.util.Set;
@ -110,10 +112,14 @@ public class SearchContextHighlight {
private String fragmenter;
private BoundaryScannerType boundaryScannerType;
private int boundaryMaxScan = -1;
private Character[] boundaryChars = null;
private Locale boundaryScannerLocale;
private Query highlightQuery;
private int noMatchSize = -1;
@ -168,6 +174,10 @@ public class SearchContextHighlight {
return fragmenter;
}
public BoundaryScannerType boundaryScannerType() {
return boundaryScannerType;
}
public int boundaryMaxScan() {
return boundaryMaxScan;
}
@ -176,6 +186,10 @@ public class SearchContextHighlight {
return boundaryChars;
}
public Locale boundaryScannerLocale() {
return boundaryScannerLocale;
}
public Query highlightQuery() {
return highlightQuery;
}
@ -260,6 +274,11 @@ public class SearchContextHighlight {
return this;
}
Builder boundaryScannerType(BoundaryScannerType boundaryScanner) {
fieldOptions.boundaryScannerType = boundaryScanner;
return this;
}
Builder boundaryMaxScan(int boundaryMaxScan) {
fieldOptions.boundaryMaxScan = boundaryMaxScan;
return this;
@ -270,6 +289,11 @@ public class SearchContextHighlight {
return this;
}
Builder boundaryScannerLocale(Locale boundaryScannerLocale) {
fieldOptions.boundaryScannerLocale = boundaryScannerLocale;
return this;
}
Builder highlightQuery(Query highlightQuery) {
fieldOptions.highlightQuery = highlightQuery;
return this;
@ -324,12 +348,18 @@ public class SearchContextHighlight {
if (fieldOptions.requireFieldMatch == null) {
fieldOptions.requireFieldMatch = globalOptions.requireFieldMatch;
}
if (fieldOptions.boundaryScannerType == null) {
fieldOptions.boundaryScannerType = globalOptions.boundaryScannerType;
}
if (fieldOptions.boundaryMaxScan == -1) {
fieldOptions.boundaryMaxScan = globalOptions.boundaryMaxScan;
}
if (fieldOptions.boundaryChars == null && globalOptions.boundaryChars != null) {
fieldOptions.boundaryChars = Arrays.copyOf(globalOptions.boundaryChars, globalOptions.boundaryChars.length);
}
if (fieldOptions.boundaryScannerLocale == null) {
fieldOptions.boundaryScannerLocale = globalOptions.boundaryScannerLocale;
}
if (fieldOptions.highlighterType == null) {
fieldOptions.highlighterType = globalOptions.highlighterType;
}

View File

@ -0,0 +1,146 @@
/*
* 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.index.analysis;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.core.WhitespaceTokenizer;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.env.Environment;
import org.elasticsearch.test.ESTestCase;
import org.elasticsearch.test.ESTokenStreamTestCase;
import java.io.IOException;
import java.io.StringReader;
/**
* Base class to test {@link WordDelimiterTokenFilterFactory} and {@link WordDelimiterGraphTokenFilterFactory}
*/
public abstract class BaseWordDelimiterTokenFilterFactoryTestCase extends ESTokenStreamTestCase {
final String type;
public BaseWordDelimiterTokenFilterFactoryTestCase(String type) {
this.type = type;
}
public void testDefault() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", type)
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"Power", "Shot", "500", "42", "wi", "fi", "wi",
"fi", "4000", "j", "2", "se", "O", "Neil"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testCatenateWords() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", type)
.put("index.analysis.filter.my_word_delimiter.catenate_words", "true")
.put("index.analysis.filter.my_word_delimiter.generate_word_parts", "false")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"PowerShot", "500", "42", "wifi", "wifi", "4000", "j", "2", "se", "ONeil"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testCatenateNumbers() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", type)
.put("index.analysis.filter.my_word_delimiter.generate_number_parts", "false")
.put("index.analysis.filter.my_word_delimiter.catenate_numbers", "true")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"Power", "Shot", "50042", "wi", "fi", "wi", "fi", "4000", "j", "2",
"se", "O", "Neil"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testCatenateAll() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", type)
.put("index.analysis.filter.my_word_delimiter.generate_word_parts", "false")
.put("index.analysis.filter.my_word_delimiter.generate_number_parts", "false")
.put("index.analysis.filter.my_word_delimiter.catenate_all", "true")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"PowerShot", "50042", "wifi", "wifi4000", "j2se", "ONeil"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testSplitOnCaseChange() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", type)
.put("index.analysis.filter.my_word_delimiter.split_on_case_change", "false")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot";
String[] expected = new String[]{"PowerShot"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testPreserveOriginal() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", type)
.put("index.analysis.filter.my_word_delimiter.preserve_original", "true")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"PowerShot", "Power", "Shot", "500-42", "500", "42", "wi-fi", "wi", "fi",
"wi-fi-4000", "wi", "fi", "4000", "j2se", "j", "2", "se", "O'Neil's", "O", "Neil"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testStemEnglishPossessive() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", type)
.put("index.analysis.filter.my_word_delimiter.stem_english_possessive", "false")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"Power", "Shot", "500", "42", "wi", "fi", "wi", "fi", "4000", "j", "2",
"se", "O", "Neil", "s"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
}

View File

@ -0,0 +1,75 @@
/*
* 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.index.analysis;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.core.WhitespaceTokenizer;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.env.Environment;
import org.elasticsearch.test.ESTestCase;
import java.io.IOException;
import java.io.StringReader;
public class WordDelimiterGraphTokenFilterFactoryTests extends BaseWordDelimiterTokenFilterFactoryTestCase {
public WordDelimiterGraphTokenFilterFactoryTests() {
super("word_delimiter_graph");
}
public void testMultiTerms() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", type)
.put("index.analysis.filter.my_word_delimiter.catenate_all", "true")
.put("index.analysis.filter.my_word_delimiter.preserve_original", "true")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"PowerShot", "PowerShot", "Power", "Shot", "50042", "500-42", "500", "42",
"wifi", "wi-fi", "wi", "fi", "wifi4000", "wi-fi-4000", "wi", "fi", "4000", "j2se", "j2se", "j", "2", "se",
"ONeil", "O'Neil's", "O", "Neil" };
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
int[] expectedIncr = new int[]{1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1};
int[] expectedPosLen = new int[]{2, 2, 1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 3, 3, 1, 1, 1, 3, 3, 1, 1, 1, 2, 2, 1, 1};
assertTokenStreamContents(tokenFilter.create(tokenizer), expected, null, null, null,
expectedIncr, expectedPosLen, null);
}
/** Correct offset order when doing both parts and concatenation: PowerShot is a synonym of Power */
public void testPartsAndCatenate() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", type)
.put("index.analysis.filter.my_word_delimiter.catenate_words", "true")
.put("index.analysis.filter.my_word_delimiter.generate_word_parts", "true")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot";
int[] expectedIncr = new int[]{1, 0, 1};
int[] expectedPosLen = new int[]{2, 1, 1};
String[] expected = new String[]{"PowerShot", "Power", "Shot" };
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected, null, null, null,
expectedIncr, expectedPosLen, null);
}
}

View File

@ -24,118 +24,20 @@ import org.apache.lucene.analysis.core.WhitespaceTokenizer;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.env.Environment;
import org.elasticsearch.test.ESTestCase;
import org.elasticsearch.test.ESTokenStreamTestCase;
import java.io.IOException;
import java.io.StringReader;
public class WordDelimiterTokenFilterFactoryTests extends ESTokenStreamTestCase {
public void testDefault() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", "word_delimiter")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"Power", "Shot", "500", "42", "wi", "fi", "wi", "fi", "4000", "j", "2", "se", "O", "Neil"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testCatenateWords() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", "word_delimiter")
.put("index.analysis.filter.my_word_delimiter.catenate_words", "true")
.put("index.analysis.filter.my_word_delimiter.generate_word_parts", "false")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"PowerShot", "500", "42", "wifi", "wifi", "4000", "j", "2", "se", "ONeil"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testCatenateNumbers() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", "word_delimiter")
.put("index.analysis.filter.my_word_delimiter.generate_number_parts", "false")
.put("index.analysis.filter.my_word_delimiter.catenate_numbers", "true")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"Power", "Shot", "50042", "wi", "fi", "wi", "fi", "4000", "j", "2", "se", "O", "Neil"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testCatenateAll() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", "word_delimiter")
.put("index.analysis.filter.my_word_delimiter.generate_word_parts", "false")
.put("index.analysis.filter.my_word_delimiter.generate_number_parts", "false")
.put("index.analysis.filter.my_word_delimiter.catenate_all", "true")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"PowerShot", "50042", "wifi", "wifi4000", "j2se", "ONeil"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testSplitOnCaseChange() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", "word_delimiter")
.put("index.analysis.filter.my_word_delimiter.split_on_case_change", "false")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot";
String[] expected = new String[]{"PowerShot"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testPreserveOriginal() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", "word_delimiter")
.put("index.analysis.filter.my_word_delimiter.preserve_original", "true")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"PowerShot", "Power", "Shot", "500-42", "500", "42", "wi-fi", "wi", "fi", "wi-fi-4000", "wi", "fi", "4000", "j2se", "j", "2", "se", "O'Neil's", "O", "Neil"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
public void testStemEnglishPossessive() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", "word_delimiter")
.put("index.analysis.filter.my_word_delimiter.stem_english_possessive", "false")
.build());
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("my_word_delimiter");
String source = "PowerShot 500-42 wi-fi wi-fi-4000 j2se O'Neil's";
String[] expected = new String[]{"Power", "Shot", "500", "42", "wi", "fi", "wi", "fi", "4000", "j", "2", "se", "O", "Neil", "s"};
Tokenizer tokenizer = new WhitespaceTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
public class WordDelimiterTokenFilterFactoryTests extends BaseWordDelimiterTokenFilterFactoryTestCase {
public WordDelimiterTokenFilterFactoryTests() {
super("word_delimiter");
}
/** Correct offset order when doing both parts and concatenation: PowerShot is a synonym of Power */
public void testPartsAndCatenate() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(Settings.builder()
.put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString())
.put("index.analysis.filter.my_word_delimiter.type", "word_delimiter")
.put("index.analysis.filter.my_word_delimiter.type", type)
.put("index.analysis.filter.my_word_delimiter.catenate_words", "true")
.put("index.analysis.filter.my_word_delimiter.generate_word_parts", "true")
.build());

View File

@ -47,6 +47,7 @@ import org.elasticsearch.index.query.QueryParseContext;
import org.elasticsearch.index.query.QueryShardContext;
import org.elasticsearch.index.query.TermQueryBuilder;
import org.elasticsearch.search.SearchModule;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder.BoundaryScannerType;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder.Field;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder.Order;
import org.elasticsearch.search.fetch.subphase.highlight.SearchContextHighlight.FieldOptions;
@ -288,6 +289,7 @@ public class HighlightBuilderTests extends ESTestCase {
mergeBeforeChek(highlightBuilder, fieldBuilder, fieldOptions);
checkSame.accept(AbstractHighlighterBuilder::boundaryChars, FieldOptions::boundaryChars);
checkSame.accept(AbstractHighlighterBuilder::boundaryScannerType, FieldOptions::boundaryScannerType);
checkSame.accept(AbstractHighlighterBuilder::boundaryMaxScan, FieldOptions::boundaryMaxScan);
checkSame.accept(AbstractHighlighterBuilder::fragmentSize, FieldOptions::fragmentCharSize);
checkSame.accept(AbstractHighlighterBuilder::fragmenter, FieldOptions::fragmenter);
@ -557,12 +559,23 @@ public class HighlightBuilderTests extends ESTestCase {
if (randomBoolean()) {
highlightBuilder.forceSource(randomBoolean());
}
if (randomBoolean()) {
if (randomBoolean()) {
highlightBuilder.boundaryScannerType(randomFrom(BoundaryScannerType.values()));
} else {
// also test the string setter
highlightBuilder.boundaryScannerType(randomFrom(BoundaryScannerType.values()).toString());
}
}
if (randomBoolean()) {
highlightBuilder.boundaryMaxScan(randomIntBetween(0, 10));
}
if (randomBoolean()) {
highlightBuilder.boundaryChars(randomAsciiOfLengthBetween(1, 10).toCharArray());
}
if (randomBoolean()) {
highlightBuilder.boundaryScannerLocale(randomLocale(random()).toLanguageTag());
}
if (randomBoolean()) {
highlightBuilder.noMatchSize(randomIntBetween(0, 10));
}

View File

@ -44,6 +44,7 @@ import org.elasticsearch.plugins.Plugin;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder.BoundaryScannerType;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder.Field;
import org.elasticsearch.search.sort.SortOrder;
import org.elasticsearch.test.ESIntegTestCase;
@ -57,6 +58,7 @@ import java.io.IOException;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.Locale;
import java.util.Map;
import static org.elasticsearch.client.Requests.searchRequest;
@ -747,7 +749,94 @@ public class HighlighterSearchIT extends ESIntegTestCase {
searchResponse = client().prepareSearch("test").setSource(source).get();
assertHighlight(searchResponse, 0, "field2", 0, 1, equalTo("The <em>quick</em> brown fox jumps over"));
}
public void testFastVectorHighlighterWithSentenceBoundaryScanner() throws Exception {
assertAcked(prepareCreate("test").addMapping("type1", type1TermVectorMapping()));
ensureGreen();
indexRandom(true, client().prepareIndex("test", "type1")
.setSource("field1", "A sentence with few words. Another sentence with even more words."));
logger.info("--> highlighting and searching on 'field' with sentence boundary_scanner");
SearchSourceBuilder source = searchSource()
.query(termQuery("field1", "sentence"))
.highlighter(highlight()
.field("field1", 20, 2)
.order("score")
.preTags("<xxx>").postTags("</xxx>")
.boundaryScannerType(BoundaryScannerType.SENTENCE));
SearchResponse searchResponse = client().prepareSearch("test").setSource(source).get();
assertHighlight(searchResponse, 0, "field1", 0, 2, equalTo("A <xxx>sentence</xxx> with few words. "));
assertHighlight(searchResponse, 0, "field1", 1, 2, equalTo("Another <xxx>sentence</xxx> with even more words. "));
}
public void testFastVectorHighlighterWithSentenceBoundaryScannerAndLocale() throws Exception {
assertAcked(prepareCreate("test").addMapping("type1", type1TermVectorMapping()));
ensureGreen();
indexRandom(true, client().prepareIndex("test", "type1")
.setSource("field1", "A sentence with few words. Another sentence with even more words."));
logger.info("--> highlighting and searching on 'field' with sentence boundary_scanner");
SearchSourceBuilder source = searchSource()
.query(termQuery("field1", "sentence"))
.highlighter(highlight()
.field("field1", 20, 2)
.order("score")
.preTags("<xxx>").postTags("</xxx>")
.boundaryScannerType(BoundaryScannerType.SENTENCE)
.boundaryScannerLocale(Locale.ENGLISH.toLanguageTag()));
SearchResponse searchResponse = client().prepareSearch("test").setSource(source).get();
assertHighlight(searchResponse, 0, "field1", 0, 2, equalTo("A <xxx>sentence</xxx> with few words. "));
assertHighlight(searchResponse, 0, "field1", 1, 2, equalTo("Another <xxx>sentence</xxx> with even more words. "));
}
public void testFastVectorHighlighterWithWordBoundaryScanner() throws Exception {
assertAcked(prepareCreate("test").addMapping("type1", type1TermVectorMapping()));
ensureGreen();
indexRandom(true, client().prepareIndex("test", "type1")
.setSource("field1", "some quick and hairy brown:fox jumped over the lazy dog"));
logger.info("--> highlighting and searching on 'field' with word boundary_scanner");
SearchSourceBuilder source = searchSource()
.query(termQuery("field1", "some"))
.highlighter(highlight()
.field("field1", 23, 1)
.order("score")
.preTags("<xxx>").postTags("</xxx>")
.boundaryScannerType(BoundaryScannerType.WORD));
SearchResponse searchResponse = client().prepareSearch("test").setSource(source).get();
assertHighlight(searchResponse, 0, "field1", 0, 1, equalTo("<xxx>some</xxx> quick and hairy brown"));
}
public void testFastVectorHighlighterWithWordBoundaryScannerAndLocale() throws Exception {
assertAcked(prepareCreate("test").addMapping("type1", type1TermVectorMapping()));
ensureGreen();
indexRandom(true, client().prepareIndex("test", "type1")
.setSource("field1", "some quick and hairy brown:fox jumped over the lazy dog"));
logger.info("--> highlighting and searching on 'field' with word boundary_scanner");
SearchSourceBuilder source = searchSource()
.query(termQuery("field1", "some"))
.highlighter(highlight()
.field("field1", 23, 1)
.order("score")
.preTags("<xxx>").postTags("</xxx>")
.boundaryScannerType(BoundaryScannerType.WORD)
.boundaryScannerLocale(Locale.ENGLISH.toLanguageTag()));
SearchResponse searchResponse = client().prepareSearch("test").setSource(source).get();
assertHighlight(searchResponse, 0, "field1", 0, 1, equalTo("<xxx>some</xxx> quick and hairy brown"));
}
/**

View File

@ -81,6 +81,7 @@ buildRestTests.expectedUnconvertedCandidates = [
'reference/analysis/tokenfilters/synonym-tokenfilter.asciidoc',
'reference/analysis/tokenfilters/synonym-graph-tokenfilter.asciidoc',
'reference/analysis/tokenfilters/word-delimiter-tokenfilter.asciidoc',
'reference/analysis/tokenfilters/word-delimiter-graph-tokenfilter.asciidoc',
'reference/cat/snapshots.asciidoc',
'reference/cat/templates.asciidoc',
'reference/cat/thread_pool.asciidoc',

View File

@ -0,0 +1,97 @@
[[analysis-word-delimiter-graph-tokenfilter]]
=== Word Delimiter Graph Token Filter
experimental[]
Named `word_delimiter_graph`, it splits words into subwords and performs
optional transformations on subword groups. Words are split into
subwords with the following rules:
* split on intra-word delimiters (by default, all non alpha-numeric
characters).
* "Wi-Fi" -> "Wi", "Fi"
* split on case transitions: "PowerShot" -> "Power", "Shot"
* split on letter-number transitions: "SD500" -> "SD", "500"
* leading and trailing intra-word delimiters on each subword are
ignored: "//hello---there, 'dude'" -> "hello", "there", "dude"
* trailing "'s" are removed for each subword: "O'Neil's" -> "O", "Neil"
Unlike the `word_delimiter`, this token filter correctly handles positions for
multi terms expansion at search-time when any of the following options
are set to true:
* `preserve_original`
* `catenate_numbers`
* `catenate_words`
* `catenate_all`
Parameters include:
`generate_word_parts`::
If `true` causes parts of words to be
generated: "PowerShot" => "Power" "Shot". Defaults to `true`.
`generate_number_parts`::
If `true` causes number subwords to be
generated: "500-42" => "500" "42". Defaults to `true`.
`catenate_words`::
If `true` causes maximum runs of word parts to be
catenated: "wi-fi" => "wifi". Defaults to `false`.
`catenate_numbers`::
If `true` causes maximum runs of number parts to
be catenated: "500-42" => "50042". Defaults to `false`.
`catenate_all`::
If `true` causes all subword parts to be catenated:
"wi-fi-4000" => "wifi4000". Defaults to `false`.
`split_on_case_change`::
If `true` causes "PowerShot" to be two tokens;
("Power-Shot" remains two parts regards). Defaults to `true`.
`preserve_original`::
If `true` includes original words in subwords:
"500-42" => "500-42" "500" "42". Defaults to `false`.
`split_on_numerics`::
If `true` causes "j2se" to be three tokens; "j"
"2" "se". Defaults to `true`.
`stem_english_possessive`::
If `true` causes trailing "'s" to be
removed for each subword: "O'Neil's" => "O", "Neil". Defaults to `true`.
Advance settings include:
`protected_words`::
A list of protected words from being delimiter.
Either an array, or also can set `protected_words_path` which resolved
to a file configured with protected words (one on each line).
Automatically resolves to `config/` based location if exists.
`type_table`::
A custom type mapping table, for example (when configured
using `type_table_path`):
[source,js]
--------------------------------------------------
# Map the $, %, '.', and ',' characters to DIGIT
# This might be useful for financial data.
$ => DIGIT
% => DIGIT
. => DIGIT
\\u002C => DIGIT
# in some cases you might not want to split on ZWJ
# this also tests the case where we need a bigger byte[]
# see http://en.wikipedia.org/wiki/Zero-width_joiner
\\u200D => ALPHANUM
--------------------------------------------------
NOTE: Using a tokenizer like the `standard` tokenizer may interfere with
the `catenate_*` and `preserve_original` parameters, as the original
string may already have lost punctuation during tokenization. Instead,
you may want to use the `whitespace` tokenizer.

View File

@ -103,8 +103,7 @@ If `term_vector` information is provided by setting `term_vector` to
will be used instead of the plain highlighter. The fast vector highlighter:
* Is faster especially for large fields (> `1MB`)
* Can be customized with `boundary_chars`, `boundary_max_scan`, and
`fragment_offset` (see <<boundary-characters,below>>)
* Can be customized with `boundary_scanner` (see <<boundary-scanners,below>>)
* Requires setting `term_vector` to `with_positions_offsets` which
increases the size of the index
* Can combine matches from multiple fields into one result. See
@ -502,17 +501,23 @@ GET /_search
--------------------------------------------------
// CONSOLE
[[boundary-characters]]
==== Boundary Characters
[[boundary-scanners]]
==== Boundary Scanners
When highlighting a field using the fast vector highlighter,
`boundary_chars` can be configured to define what constitutes a boundary
for highlighting. It's a single string with each boundary character
defined in it. It defaults to `.,!? \t\n`.
When highlighting a field using the fast vector highlighter, you can specify
how to break the highlighted fragments using `boundary_scanner`, which accepts
the following values:
The `boundary_max_scan` allows to control how far to look for boundary
characters, and defaults to `20`.
* `chars` (default): allows to configure which characters (`boundary_chars`)
constitute a boundary for highlighting. It's a single string with each boundary
character defined in it (defaults to `.,!? \t\n`). It also allows configuring
the `boundary_max_scan` to control how far to look for boundary characters
(defaults to `20`).
* `word` and `sentence`: use Java's https://docs.oracle.com/javase/8/docs/api/java/text/BreakIterator.html[BreakIterator]
to break the highlighted fragments at the next _word_ or _sentence_ boundary.
You can further specify `boundary_scanner_locale` to control which Locale is used
to search the text for these boundaries.
[[matched-fields]]
==== Matched Fields

View File

@ -0,0 +1,62 @@
/*
* 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.ingest.geoip;
import com.maxmind.geoip2.DatabaseReader;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.util.IOUtils;
import org.apache.lucene.util.SetOnce;
import org.elasticsearch.common.CheckedSupplier;
import org.elasticsearch.common.logging.Loggers;
import java.io.Closeable;
import java.io.IOException;
/**
* Facilitates lazy loading of the database reader, so that when the geoip plugin is installed, but not used,
* no memory is being wasted on the database reader.
*/
final class DatabaseReaderLazyLoader implements Closeable {
private static final Logger LOGGER = Loggers.getLogger(DatabaseReaderLazyLoader.class);
private final String databaseFileName;
private final CheckedSupplier<DatabaseReader, IOException> loader;
// package protected for testing only:
final SetOnce<DatabaseReader> databaseReader;
DatabaseReaderLazyLoader(String databaseFileName, CheckedSupplier<DatabaseReader, IOException> loader) {
this.databaseFileName = databaseFileName;
this.loader = loader;
this.databaseReader = new SetOnce<>();
}
synchronized DatabaseReader get() throws IOException {
if (databaseReader.get() == null) {
databaseReader.set(loader.get());
LOGGER.debug("Loaded [{}] geoip database", databaseFileName);
}
return databaseReader.get();
}
@Override
public synchronized void close() throws IOException {
IOUtils.close(databaseReader.get());
}
}

View File

@ -19,19 +19,6 @@
package org.elasticsearch.ingest.geoip;
import java.io.IOException;
import java.net.InetAddress;
import java.security.AccessController;
import java.security.PrivilegedAction;
import java.util.Arrays;
import java.util.Collections;
import java.util.EnumSet;
import java.util.HashMap;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Set;
import com.maxmind.geoip2.DatabaseReader;
import com.maxmind.geoip2.exception.AddressNotFoundException;
import com.maxmind.geoip2.model.CityResponse;
@ -49,6 +36,19 @@ import org.elasticsearch.ingest.AbstractProcessor;
import org.elasticsearch.ingest.IngestDocument;
import org.elasticsearch.ingest.Processor;
import java.io.IOException;
import java.net.InetAddress;
import java.security.AccessController;
import java.security.PrivilegedAction;
import java.util.Arrays;
import java.util.Collections;
import java.util.EnumSet;
import java.util.HashMap;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Set;
import static org.elasticsearch.ingest.ConfigurationUtils.newConfigurationException;
import static org.elasticsearch.ingest.ConfigurationUtils.readBooleanProperty;
import static org.elasticsearch.ingest.ConfigurationUtils.readOptionalList;
@ -264,9 +264,9 @@ public final class GeoIpProcessor extends AbstractProcessor {
);
static final Set<Property> DEFAULT_COUNTRY_PROPERTIES = EnumSet.of(Property.CONTINENT_NAME, Property.COUNTRY_ISO_CODE);
private final Map<String, DatabaseReader> databaseReaders;
private final Map<String, DatabaseReaderLazyLoader> databaseReaders;
public Factory(Map<String, DatabaseReader> databaseReaders) {
public Factory(Map<String, DatabaseReaderLazyLoader> databaseReaders) {
this.databaseReaders = databaseReaders;
}
@ -279,12 +279,13 @@ public final class GeoIpProcessor extends AbstractProcessor {
List<String> propertyNames = readOptionalList(TYPE, processorTag, config, "properties");
boolean ignoreMissing = readBooleanProperty(TYPE, processorTag, config, "ignore_missing", false);
DatabaseReader databaseReader = databaseReaders.get(databaseFile);
if (databaseReader == null) {
DatabaseReaderLazyLoader lazyLoader = databaseReaders.get(databaseFile);
if (lazyLoader == null) {
throw newConfigurationException(TYPE, processorTag,
"database_file", "database file [" + databaseFile + "] doesn't exist");
}
DatabaseReader databaseReader = lazyLoader.get();
String databaseType = databaseReader.getMetadata().getDatabaseType();
final Set<Property> properties;

View File

@ -19,6 +19,15 @@
package org.elasticsearch.ingest.geoip;
import com.maxmind.db.NoCache;
import com.maxmind.db.NodeCache;
import com.maxmind.geoip2.DatabaseReader;
import org.apache.lucene.util.IOUtils;
import org.elasticsearch.common.settings.Setting;
import org.elasticsearch.ingest.Processor;
import org.elasticsearch.plugins.IngestPlugin;
import org.elasticsearch.plugins.Plugin;
import java.io.Closeable;
import java.io.IOException;
import java.io.InputStream;
@ -35,20 +44,11 @@ import java.util.Map;
import java.util.stream.Stream;
import java.util.zip.GZIPInputStream;
import com.maxmind.db.NoCache;
import com.maxmind.db.NodeCache;
import com.maxmind.geoip2.DatabaseReader;
import org.apache.lucene.util.IOUtils;
import org.elasticsearch.common.settings.Setting;
import org.elasticsearch.ingest.Processor;
import org.elasticsearch.plugins.IngestPlugin;
import org.elasticsearch.plugins.Plugin;
public class IngestGeoIpPlugin extends Plugin implements IngestPlugin, Closeable {
public static final Setting<Long> CACHE_SIZE =
Setting.longSetting("ingest.geoip.cache_size", 1000, 0, Setting.Property.NodeScope);
private Map<String, DatabaseReader> databaseReaders;
private Map<String, DatabaseReaderLazyLoader> databaseReaders;
@Override
public List<Setting<?>> getSettings() {
@ -76,12 +76,12 @@ public class IngestGeoIpPlugin extends Plugin implements IngestPlugin, Closeable
return Collections.singletonMap(GeoIpProcessor.TYPE, new GeoIpProcessor.Factory(databaseReaders));
}
static Map<String, DatabaseReader> loadDatabaseReaders(Path geoIpConfigDirectory, NodeCache cache) throws IOException {
static Map<String, DatabaseReaderLazyLoader> loadDatabaseReaders(Path geoIpConfigDirectory, NodeCache cache) throws IOException {
if (Files.exists(geoIpConfigDirectory) == false && Files.isDirectory(geoIpConfigDirectory)) {
throw new IllegalStateException("the geoip directory [" + geoIpConfigDirectory + "] containing databases doesn't exist");
}
Map<String, DatabaseReader> databaseReaders = new HashMap<>();
Map<String, DatabaseReaderLazyLoader> databaseReaders = new HashMap<>();
try (Stream<Path> databaseFiles = Files.list(geoIpConfigDirectory)) {
PathMatcher pathMatcher = geoIpConfigDirectory.getFileSystem().getPathMatcher("glob:**.mmdb.gz");
// Use iterator instead of forEach otherwise IOException needs to be caught twice...
@ -89,10 +89,13 @@ public class IngestGeoIpPlugin extends Plugin implements IngestPlugin, Closeable
while (iterator.hasNext()) {
Path databasePath = iterator.next();
if (Files.isRegularFile(databasePath) && pathMatcher.matches(databasePath)) {
String databaseFileName = databasePath.getFileName().toString();
DatabaseReaderLazyLoader holder = new DatabaseReaderLazyLoader(databaseFileName, () -> {
try (InputStream inputStream = new GZIPInputStream(Files.newInputStream(databasePath, StandardOpenOption.READ))) {
databaseReaders.put(databasePath.getFileName().toString(),
new DatabaseReader.Builder(inputStream).withCache(cache).build());
return new DatabaseReader.Builder(inputStream).withCache(cache).build();
}
});
databaseReaders.put(databaseFileName, holder);
}
}
}

View File

@ -22,7 +22,6 @@ package org.elasticsearch.ingest.geoip;
import com.carrotsearch.randomizedtesting.generators.RandomPicks;
import com.maxmind.db.NoCache;
import com.maxmind.db.NodeCache;
import com.maxmind.geoip2.DatabaseReader;
import org.elasticsearch.ElasticsearchParseException;
import org.elasticsearch.common.Randomness;
import org.elasticsearch.test.ESTestCase;
@ -48,7 +47,7 @@ import static org.hamcrest.Matchers.sameInstance;
public class GeoIpProcessorFactoryTests extends ESTestCase {
private static Map<String, DatabaseReader> databaseReaders;
private static Map<String, DatabaseReaderLazyLoader> databaseReaders;
@BeforeClass
public static void loadDatabaseReaders() throws IOException {
@ -66,7 +65,7 @@ public class GeoIpProcessorFactoryTests extends ESTestCase {
@AfterClass
public static void closeDatabaseReaders() throws IOException {
for (DatabaseReader reader : databaseReaders.values()) {
for (DatabaseReaderLazyLoader reader : databaseReaders.values()) {
reader.close();
}
databaseReaders = null;
@ -222,4 +221,37 @@ public class GeoIpProcessorFactoryTests extends ESTestCase {
assertThat(e.getMessage(), equalTo("[properties] property isn't a list, but of type [java.lang.String]"));
}
}
public void testLazyLoading() throws Exception {
Path configDir = createTempDir();
Path geoIpConfigDir = configDir.resolve("ingest-geoip");
Files.createDirectories(geoIpConfigDir);
Files.copy(new ByteArrayInputStream(StreamsUtils.copyToBytesFromClasspath("/GeoLite2-City.mmdb.gz")),
geoIpConfigDir.resolve("GeoLite2-City.mmdb.gz"));
Files.copy(new ByteArrayInputStream(StreamsUtils.copyToBytesFromClasspath("/GeoLite2-Country.mmdb.gz")),
geoIpConfigDir.resolve("GeoLite2-Country.mmdb.gz"));
// Loading another database reader instances, because otherwise we can't test lazy loading as the the
// database readers used at class level are reused between tests. (we want to keep that otherwise running this
// test will take roughly 4 times more time)
Map<String, DatabaseReaderLazyLoader> databaseReaders =
IngestGeoIpPlugin.loadDatabaseReaders(geoIpConfigDir, NoCache.getInstance());
GeoIpProcessor.Factory factory = new GeoIpProcessor.Factory(databaseReaders);
for (DatabaseReaderLazyLoader lazyLoader : databaseReaders.values()) {
assertNull(lazyLoader.databaseReader.get());
}
Map<String, Object> config = new HashMap<>();
config.put("field", "_field");
config.put("database_file", "GeoLite2-City.mmdb.gz");
factory.create(null, "_tag", config);
config = new HashMap<>();
config.put("field", "_field");
config.put("database_file", "GeoLite2-Country.mmdb.gz");
factory.create(null, "_tag", config);
for (DatabaseReaderLazyLoader lazyLoader : databaseReaders.values()) {
assertNotNull(lazyLoader.databaseReader.get());
}
}
}

View File

@ -150,18 +150,7 @@ public class InternalAwsS3Service extends AbstractLifecycleComponent implements
if (key.length() == 0 && secret.length() == 0) {
logger.debug("Using instance profile credentials");
AWSCredentialsProvider credentials = new InstanceProfileCredentialsProvider();
return new AWSCredentialsProvider() {
@Override
public AWSCredentials getCredentials() {
return SocketAccess.doPrivileged(credentials::getCredentials);
}
@Override
public void refresh() {
SocketAccess.doPrivilegedVoid(credentials::refresh);
}
};
return new PrivilegedInstanceProfileCredentialsProvider();
} else {
logger.debug("Using basic key/secret credentials");
return new StaticCredentialsProvider(new BasicAWSCredentials(key.toString(), secret.toString()));
@ -221,4 +210,22 @@ public class InternalAwsS3Service extends AbstractLifecycleComponent implements
// Ensure that IdleConnectionReaper is shutdown
IdleConnectionReaper.shutdown();
}
static class PrivilegedInstanceProfileCredentialsProvider implements AWSCredentialsProvider {
private final InstanceProfileCredentialsProvider credentials;
private PrivilegedInstanceProfileCredentialsProvider() {
this.credentials = new InstanceProfileCredentialsProvider();
}
@Override
public AWSCredentials getCredentials() {
return SocketAccess.doPrivileged(credentials::getCredentials);
}
@Override
public void refresh() {
SocketAccess.doPrivilegedVoid(credentials::refresh);
}
}
}

View File

@ -37,7 +37,7 @@ public class AwsS3ServiceImplTests extends ESTestCase {
public void testAWSCredentialsWithSystemProviders() {
AWSCredentialsProvider credentialsProvider =
InternalAwsS3Service.buildCredentials(logger, deprecationLogger, Settings.EMPTY, Settings.EMPTY, "default");
assertThat(credentialsProvider, instanceOf(AWSCredentialsProvider.class));
assertThat(credentialsProvider, instanceOf(InternalAwsS3Service.PrivilegedInstanceProfileCredentialsProvider.class));
}
public void testAwsCredsDefaultSettings() {

View File

@ -28,7 +28,7 @@ setup:
---
"Basic":
- skip:
version: " - 5.2.99"
version: " - 5.99.99"
reason: this uses a new highlighter that has been added in 5.3
- do:
search: