本文整理汇总了Java中org.elasticsearch.index.mapper.MappedFieldType.tokenized方法的典型用法代码示例。如果您正苦于以下问题：Java MappedFieldType.tokenized方法的具体用法？Java MappedFieldType.tokenized怎么用？Java MappedFieldType.tokenized使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.elasticsearch.index.mapper.MappedFieldType的用法示例。
在下文中一共展示了MappedFieldType.tokenized方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: newTermQuery
import org.elasticsearch.index.mapper.MappedFieldType; //导入方法依赖的package包/类
@Override
protected Query newTermQuery(Term term) {
MappedFieldType currentFieldType = context.fieldMapper(term.field());
if (currentFieldType == null || currentFieldType.tokenized()) {
return super.newTermQuery(term);
}
return currentFieldType.termQuery(term.bytes(), context);
}
示例2: StringFieldMapper
import org.elasticsearch.index.mapper.MappedFieldType; //导入方法依赖的package包/类
protected StringFieldMapper(String simpleName, MappedFieldType fieldType, MappedFieldType defaultFieldType,
int positionIncrementGap, int ignoreAbove,
Settings indexSettings, MultiFields multiFields, CopyTo copyTo) {
super(simpleName, fieldType, defaultFieldType, indexSettings, multiFields, copyTo);
if (fieldType.tokenized() && fieldType.indexOptions() != NONE && fieldType().hasDocValues()) {
throw new MapperParsingException("Field [" + fieldType.names().fullName() + "] cannot be analyzed and have doc values");
}
this.positionIncrementGap = positionIncrementGap;
this.ignoreAbove = ignoreAbove;
}
示例3: shardOperation
import org.elasticsearch.index.mapper.MappedFieldType; //导入方法依赖的package包/类
@Override
protected AnalyzeResponse shardOperation(AnalyzeRequest request, ShardId shardId) {
try {
final IndexService indexService;
if (shardId != null) {
indexService = indicesService.indexServiceSafe(shardId.getIndex());
} else {
indexService = null;
}
String field = null;
Analyzer analyzer = null;
if (request.field() != null) {
if (indexService == null) {
throw new IllegalArgumentException("No index provided, and trying to analyzer based on a specific field which requires the index parameter");
}
MappedFieldType fieldType = indexService.mapperService().fullName(request.field());
if (fieldType != null) {
if (fieldType.tokenized()) {
analyzer = fieldType.indexAnalyzer();
} else if (fieldType instanceof KeywordFieldMapper.KeywordFieldType) {
analyzer = ((KeywordFieldMapper.KeywordFieldType) fieldType).normalizer();
if (analyzer == null) {
// this will be KeywordAnalyzer
analyzer = fieldType.indexAnalyzer();
}
} else {
throw new IllegalArgumentException("Can't process field [" + request.field() + "], Analysis requests are only supported on tokenized fields");
}
field = fieldType.name();
}
}
if (field == null) {
if (indexService != null) {
field = indexService.getIndexSettings().getDefaultField();
} else {
field = AllFieldMapper.NAME;
}
}
final AnalysisRegistry analysisRegistry = indicesService.getAnalysis();
return analyze(request, field, analyzer, indexService != null ? indexService.getIndexAnalyzers() : null, analysisRegistry, environment);
} catch (IOException e) {
throw new ElasticsearchException("analysis failed", e);
}
}