bleve源码解析 - index mapping

import "github.com/blevesearch/bleve/v2"

func main() {
    // 创建index
    mapping := bleve.NewIndexMapping()
    index, err := bleve.New("example.bleve", mapping)

    // 索引数据
    err = index.Index(identifier, your_data)

    // 全文搜索
    query := bleve.NewMatchQuery("text")
    search := bleve.NewSearchRequest(query)
    searchResults, err := index.Search(search)
}

type IndexMappingImpl struct {
	TypeMapping           map[string]*DocumentMapping `json:"types,omitempty"`
	DefaultMapping        *DocumentMapping            `json:"default_mapping"`
	TypeField             string                      `json:"type_field"`
	DefaultType           string                      `json:"default_type"`
	DefaultAnalyzer       string                      `json:"default_analyzer"`
	DefaultDateTimeParser string                      `json:"default_datetime_parser"`
	DefaultField          string                      `json:"default_field"`
	StoreDynamic          bool                        `json:"store_dynamic"`
	IndexDynamic          bool                        `json:"index_dynamic"`
	DocValuesDynamic      bool                        `json:"docvalues_dynamic"`
	CustomAnalysis        *customAnalysis             `json:"analysis,omitempty"`
	cache                 *registry.Cache
}

type DocumentMapping struct {
	Enabled         bool                        `json:"enabled"`
	Dynamic         bool                        `json:"dynamic"`
	Properties      map[string]*DocumentMapping `json:"properties,omitempty"`
	Fields          []*FieldMapping             `json:"fields,omitempty"`
	DefaultAnalyzer string                      `json:"default_analyzer,omitempty"`

	// StructTagKey overrides "json" when looking for field names in struct tags
	StructTagKey string `json:"struct_tag_key,omitempty"`
}

type FieldMapping struct {
	Name string `json:"name,omitempty"` //名称
	Type string `json:"type,omitempty"` //类型

	Analyzer string `json:"analyzer,omitempty"` // 分词器

	// Store indicates whether to store field values in the index. Stored
	// values can be retrieved from search results using SearchRequest.Fields.
	Store bool `json:"store,omitempty"` //保留原始值
	Index bool `json:"index,omitempty"` // 索引

	// IncludeTermVectors, if true, makes terms occurrences to be recorded for
	// this field. It includes the term position within the terms sequence and
	// the term offsets in the source document field. Term vectors are required
	// to perform phrase queries or terms highlighting in source documents.
	IncludeTermVectors bool   `json:"include_term_vectors,omitempty"`
	IncludeInAll       bool   `json:"include_in_all,omitempty"`
	DateFormat         string `json:"date_format,omitempty"`

	// DocValues, if true makes the index uninverting possible for this field
	// It is useful for faceting and sorting queries.
	DocValues bool `json:"docvalues,omitempty"`

	// SkipFreqNorm, if true, avoids the indexing of frequency and norm values
	// of the tokens for this field. This option would be useful for saving
	// the processing of freq/norm details when the default score based relevancy
	// isn't needed.
	SkipFreqNorm bool `json:"skip_freq_norm,omitempty"`

	// Dimensionality of the vector
	Dims int `json:"dims,omitempty"`

	// Similarity is the similarity algorithm used for scoring
	// vector fields.
	// See: index.DefaultSimilarityMetric & index.SupportedSimilarityMetrics
	Similarity string `json:"similarity,omitempty"`

	// Applicable to vector fields only - optimization string
	VectorIndexOptimizedFor string `json:"vector_index_optimized_for,omitempty"`
}