Backport support for normalisation to wildcard field Closes #53603
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c141c1dd89
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@ -50,6 +50,23 @@ POST my_index/_doc/_search
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--------------------------------------------------
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[[wildcard-params]]
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==== Parameters for wildcard fields
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The following parameters are accepted by `wildcard` fields:
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[horizontal]
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<<ignore-above,`ignore_above`>>::
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Do not index any string longer than this value. Defaults to `2147483647`
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so that all values would be accepted.
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<<normalizer,`normalizer`>>::
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How to pre-process the value prior to indexing. Defaults to `null`,
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meaning the value is kept as-is.
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==== Limitations
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* `wildcard` fields are untokenized like keyword fields, so do not support queries that rely on word positions such as phrase queries.
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@ -358,14 +358,14 @@ public abstract class MappedFieldType extends FieldType {
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}
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public Query prefixQuery(String value, @Nullable MultiTermQuery.RewriteMethod method, QueryShardContext context) {
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throw new QueryShardException(context, "Can only use prefix queries on keyword and text fields - not on [" + name
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throw new QueryShardException(context, "Can only use prefix queries on keyword, text and wildcard fields - not on [" + name
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+ "] which is of type [" + typeName() + "]");
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}
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public Query wildcardQuery(String value,
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@Nullable MultiTermQuery.RewriteMethod method,
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QueryShardContext context) {
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throw new QueryShardException(context, "Can only use wildcard queries on keyword and text fields - not on [" + name
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throw new QueryShardException(context, "Can only use wildcard queries on keyword, text and wildcard fields - not on [" + name
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+ "] which is of type [" + typeName() + "]");
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}
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@ -19,6 +19,7 @@
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package org.elasticsearch.index.mapper;
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import org.apache.lucene.analysis.Analyzer;
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import org.apache.lucene.index.Term;
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import org.apache.lucene.search.FuzzyQuery;
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import org.apache.lucene.search.MultiTermQuery;
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@ -93,16 +94,10 @@ public abstract class StringFieldType extends TermBasedFieldType {
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return query;
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}
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@Override
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public Query wildcardQuery(String value, MultiTermQuery.RewriteMethod method, QueryShardContext context) {
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failIfNotIndexed();
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if (context.allowExpensiveQueries() == false) {
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throw new ElasticsearchException("[wildcard] queries cannot be executed when '" +
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ALLOW_EXPENSIVE_QUERIES.getKey() + "' is set to false.");
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public static final String normalizeWildcardPattern(String fieldname, String value, Analyzer normalizer) {
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if (normalizer == null) {
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return value;
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}
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Term term;
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if (searchAnalyzer() != null) {
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// we want to normalize everything except wildcard characters, e.g. F?o Ba* to f?o ba*, even if e.g there
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// is a char_filter that would otherwise remove them
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Matcher wildcardMatcher = WILDCARD_PATTERN.matcher(value);
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@ -113,7 +108,7 @@ public abstract class StringFieldType extends TermBasedFieldType {
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if (wildcardMatcher.start() > 0) {
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String chunk = value.substring(last, wildcardMatcher.start());
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BytesRef normalized = searchAnalyzer().normalize(name(), chunk);
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BytesRef normalized = normalizer.normalize(fieldname, chunk);
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sb.append(normalized);
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}
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// append the matched group - without normalizing
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@ -123,10 +118,24 @@ public abstract class StringFieldType extends TermBasedFieldType {
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}
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if (last < value.length()) {
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String chunk = value.substring(last);
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BytesRef normalized = searchAnalyzer().normalize(name(), chunk);
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BytesRef normalized = normalizer.normalize(fieldname, chunk);
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sb.append(normalized);
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}
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term = new Term(name(), sb.toBytesRef());
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return sb.toBytesRef().utf8ToString();
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}
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@Override
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public Query wildcardQuery(String value, MultiTermQuery.RewriteMethod method, QueryShardContext context) {
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failIfNotIndexed();
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if (context.allowExpensiveQueries() == false) {
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throw new ElasticsearchException("[wildcard] queries cannot be executed when '" +
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ALLOW_EXPENSIVE_QUERIES.getKey() + "' is set to false.");
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}
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Term term;
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if (searchAnalyzer() != null) {
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value = normalizeWildcardPattern(name(), value, searchAnalyzer());
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term = new Term(name(), value);
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} else {
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term = new Term(name(), indexedValueForSearch(value));
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}
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@ -264,7 +264,7 @@ public final class QueryBuilders {
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* which matches any single character. Note this query can be slow, as it
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* needs to iterate over many terms. In order to prevent extremely slow WildcardQueries,
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* a Wildcard term should not start with one of the wildcards {@code *} or
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* {@code ?}.
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* {@code ?}. (The wildcard field type however, is optimised for leading wildcards)
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*
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* @param name The field name
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* @param query The wildcard query string
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@ -116,7 +116,7 @@ public class PrefixQueryBuilderTests extends AbstractQueryTestCase<PrefixQueryBu
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QueryShardContext context = createShardContext();
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QueryShardException e = expectThrows(QueryShardException.class,
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() -> query.toQuery(context));
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assertEquals("Can only use prefix queries on keyword and text fields - not on [mapped_int] which is of type [integer]",
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assertEquals("Can only use prefix queries on keyword, text and wildcard fields - not on [mapped_int] which is of type [integer]",
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e.getMessage());
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}
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@ -816,7 +816,7 @@ public class QueryStringQueryBuilderTests extends AbstractQueryTestCase<QueryStr
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QueryShardContext context = createShardContext();
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QueryShardException e = expectThrows(QueryShardException.class,
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() -> query.toQuery(context));
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assertEquals("Can only use prefix queries on keyword and text fields - not on [mapped_int] which is of type [integer]",
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assertEquals("Can only use prefix queries on keyword, text and wildcard fields - not on [mapped_int] which is of type [integer]",
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e.getMessage());
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query.lenient(true);
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query.toQuery(context); // no exception
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@ -10,10 +10,20 @@ setup:
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body:
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settings:
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number_of_replicas: 0
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analysis:
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normalizer:
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lowercase:
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type: custom
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char_filter: []
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filter: ["lowercase"]
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mappings:
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properties:
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my_wildcard:
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type: wildcard
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normalizer: lowercase
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fields:
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case_sensitive:
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type: wildcard
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- do:
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index:
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index: test-index
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@ -26,6 +36,12 @@ setup:
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id: 2
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body:
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my_wildcard: goodbye world
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- do:
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index:
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index: test-index
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id: 3
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body:
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my_wildcard: cAsE iNsEnSiTiVe World
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- do:
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indices.refresh: {}
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@ -80,6 +96,31 @@ setup:
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my_wildcard: {value: "*ello worl*" }
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- match: {hits.total.value: 1}
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---
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"Case insensitive query":
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- do:
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search:
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body:
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track_total_hits: true
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query:
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wildcard:
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my_wildcard: {value: "*Worl*" }
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- match: {hits.total.value: 3}
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---
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"Case sensitive query":
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- do:
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search:
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body:
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track_total_hits: true
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query:
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wildcard:
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my_wildcard.case_sensitive: {value: "*Worl*" }
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- match: {hits.total.value: 1}
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---
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@ -93,7 +134,7 @@ setup:
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my_wildcard: {value: "*ld" }
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- match: {hits.total.value: 2}
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- match: {hits.total.value: 3}
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---
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"Long suffix query":
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@ -188,8 +229,8 @@ setup:
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terms: {field: "my_wildcard" }
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- match: {hits.total.value: 2}
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- length: { aggregations.top_vals.buckets: 2 }
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- match: {hits.total.value: 3}
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- length: { aggregations.top_vals.buckets: 3 }
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---
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"Sort works":
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@ -199,10 +240,11 @@ setup:
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track_total_hits: true
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sort: [ { "my_wildcard": "desc" } ]
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- match: { hits.total.value: 2 }
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- length: { hits.hits: 2 }
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- match: { hits.total.value: 3 }
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- length: { hits.hits: 3 }
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- match: { hits.hits.0._id: "1" }
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- match: { hits.hits.1._id: "2" }
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- match: { hits.hits.2._id: "3" }
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- do:
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search:
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track_total_hits: true
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sort: [ { "my_wildcard": "asc" } ]
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- match: { hits.total.value: 2 }
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- length: { hits.hits: 2 }
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- match: { hits.hits.0._id: "2" }
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- match: { hits.hits.1._id: "1" }
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- match: { hits.total.value: 3 }
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- length: { hits.hits: 3 }
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- match: { hits.hits.0._id: "3" }
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- match: { hits.hits.1._id: "2" }
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- match: { hits.hits.2._id: "1" }
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@ -39,6 +39,7 @@ import org.elasticsearch.common.xcontent.support.XContentMapValues;
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import org.elasticsearch.index.Index;
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import org.elasticsearch.index.IndexSettings;
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import org.elasticsearch.index.analysis.AnalyzerScope;
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import org.elasticsearch.index.analysis.IndexAnalyzers;
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import org.elasticsearch.index.analysis.NamedAnalyzer;
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import org.elasticsearch.index.fielddata.IndexFieldData;
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import org.elasticsearch.index.fielddata.IndexFieldData.XFieldComparatorSource.Nested;
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@ -53,6 +54,7 @@ import org.elasticsearch.index.mapper.MapperParsingException;
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import org.elasticsearch.index.mapper.MapperService;
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import org.elasticsearch.index.mapper.ParseContext;
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import org.elasticsearch.index.mapper.ParseContext.Document;
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import org.elasticsearch.index.mapper.StringFieldType;
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import org.elasticsearch.index.query.QueryShardContext;
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import org.elasticsearch.index.similarity.SimilarityProvider;
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import org.elasticsearch.indices.breaker.CircuitBreakerService;
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@ -64,6 +66,7 @@ import java.util.ArrayList;
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import java.util.Iterator;
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import java.util.List;
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import java.util.Map;
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import java.util.Objects;
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import static org.elasticsearch.index.mapper.TypeParsers.parseField;
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@ -100,6 +103,9 @@ public class WildcardFieldMapper extends FieldMapper {
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public static class Builder extends FieldMapper.Builder<Builder, WildcardFieldMapper> {
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protected int ignoreAbove = Defaults.IGNORE_ABOVE;
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private IndexAnalyzers indexAnalyzers;
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private String normalizerName;
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public Builder(String name) {
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super(name, Defaults.FIELD_TYPE, Defaults.FIELD_TYPE);
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@ -165,9 +171,22 @@ public class WildcardFieldMapper extends FieldMapper {
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return (WildcardFieldType) super.fieldType();
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}
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public Builder normalizer(IndexAnalyzers indexAnalyzers, String name) {
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this.indexAnalyzers = indexAnalyzers;
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this.normalizerName = name;
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return builder;
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}
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@Override
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public WildcardFieldMapper build(BuilderContext context) {
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setupFieldType(context);
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if (normalizerName != null) {
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NamedAnalyzer normalizer = indexAnalyzers.getNormalizer(normalizerName);
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if (normalizer == null) {
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throw new MapperParsingException("normalizer [" + normalizerName + "] not found for field [" + name + "]");
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}
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fieldType().setNormalizer(normalizer);
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}
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return new WildcardFieldMapper(
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name, fieldType, defaultFieldType, ignoreAbove,
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context.indexSettings(), multiFieldsBuilder.build(this, context), copyTo);
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@ -188,6 +207,11 @@ public class WildcardFieldMapper extends FieldMapper {
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if (propName.equals("ignore_above")) {
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builder.ignoreAbove(XContentMapValues.nodeIntegerValue(propNode, -1));
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iterator.remove();
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} else if (propName.equals("normalizer")) {
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if (propNode != null) {
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builder.normalizer(parserContext.getIndexAnalyzers(), propNode.toString());
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}
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iterator.remove();
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}
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}
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@ -199,6 +223,8 @@ public class WildcardFieldMapper extends FieldMapper {
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public static final class WildcardFieldType extends MappedFieldType {
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private NamedAnalyzer normalizer = null;
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public WildcardFieldType() {
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setIndexAnalyzer(Lucene.KEYWORD_ANALYZER);
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setSearchAnalyzer(Lucene.KEYWORD_ANALYZER);
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@ -206,6 +232,7 @@ public class WildcardFieldMapper extends FieldMapper {
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protected WildcardFieldType(WildcardFieldType ref) {
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super(ref);
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this.normalizer = ref.normalizer;
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}
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public WildcardFieldType clone() {
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@ -214,6 +241,38 @@ public class WildcardFieldMapper extends FieldMapper {
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}
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@Override
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public boolean equals(Object o) {
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if (super.equals(o) == false) {
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return false;
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}
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WildcardFieldType other = (WildcardFieldType) o;
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return Objects.equals(normalizer, other.normalizer);
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}
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@Override
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public int hashCode() {
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return 31 * super.hashCode() + Objects.hash(normalizer);
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}
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private NamedAnalyzer normalizer() {
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return normalizer;
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}
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public void setNormalizer(NamedAnalyzer normalizer) {
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checkIfFrozen();
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this.normalizer = normalizer;
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}
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@Override
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public void checkCompatibility(MappedFieldType otherFT, List<String> conflicts) {
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super.checkCompatibility(otherFT, conflicts);
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WildcardFieldType other = (WildcardFieldType) otherFT;
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if (Objects.equals(normalizer, other.normalizer) == false) {
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conflicts.add("mapper [" + name() + "] has different [normalizer]");
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}
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}
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// Holds parsed information about the wildcard pattern
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static class PatternStructure {
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boolean openStart, openEnd, hasSymbols;
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@Override
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public Query wildcardQuery(String wildcardPattern, RewriteMethod method, QueryShardContext context) {
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if (normalizer != null) {
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wildcardPattern = StringFieldType.normalizeWildcardPattern(name(), wildcardPattern, normalizer);
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}
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PatternStructure patternStructure = new PatternStructure(wildcardPattern);
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ArrayList<String> tokens = new ArrayList<>();
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@ -468,6 +530,31 @@ public class WildcardFieldMapper extends FieldMapper {
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return new WildcardBytesBinaryDVIndexFieldData(indexSettings.getIndex(), fieldType.name());
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}};
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}
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String normalize(String value) throws IOException {
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if (normalizer != null) {
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try (TokenStream ts = normalizer.tokenStream(name(), value)) {
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final CharTermAttribute termAtt = ts.addAttribute(CharTermAttribute.class);
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ts.reset();
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if (ts.incrementToken() == false) {
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throw new IllegalStateException("The normalization token stream is "
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+ "expected to produce exactly 1 token, but got 0 for analyzer "
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+ normalizer + " and input \"" + value + "\"");
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}
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final String newValue = termAtt.toString();
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if (ts.incrementToken()) {
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throw new IllegalStateException("The normalization token stream is "
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+ "expected to produce exactly 1 token, but got 2+ for analyzer "
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+ normalizer + " and input \"" + value + "\"");
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}
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ts.end();
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return newValue;
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}
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}
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return value;
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}
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}
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static class WildcardBytesBinaryDVIndexFieldData extends BytesBinaryDVIndexFieldData{
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@ -521,6 +608,11 @@ public class WildcardFieldMapper extends FieldMapper {
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if (includeDefaults || ignoreAbove != Defaults.IGNORE_ABOVE) {
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builder.field("ignore_above", ignoreAbove);
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}
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if (fieldType().normalizer() != null) {
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builder.field("normalizer", fieldType().normalizer().name());
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} else if (includeDefaults) {
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builder.nullField("normalizer");
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}
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}
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@Override
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@ -544,10 +636,11 @@ public class WildcardFieldMapper extends FieldMapper {
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// For internal use by Lucene only - used to define ngram index
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final MappedFieldType ngramFieldType;
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void createFields(String value, Document parseDoc, List<IndexableField>fields) {
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void createFields(String value, Document parseDoc, List<IndexableField>fields) throws IOException {
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if (value == null || value.length() > ignoreAbove) {
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return;
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}
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value = fieldType().normalize(value);
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String ngramValue = TOKEN_START_OR_END_CHAR + value + TOKEN_START_OR_END_CHAR + TOKEN_START_OR_END_CHAR;
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Field ngramField = new Field(fieldType().name(), ngramValue, ngramFieldType);
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fields.add(ngramField);
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