bleve

package module
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 Go to latest Published: Feb 20, 2022 License: Apache-2.0 Imports: 27 Imported by: 1

README

bleve bleve

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modern text indexing in go - blevesearch.com

Try out bleve live by searching the bleve website.

Features

  • Index any go data structure (including JSON)
  • Intelligent defaults backed up by powerful configuration
  • Supported field types:
    • Text, Numeric, Date
  • Supported query types:
    • Term, Phrase, Match, Match Phrase, Prefix
    • Conjunction, Disjunction, Boolean
    • Numeric Range, Date Range
    • Simple query syntax for human entry
  • tf-idf Scoring
  • Search result match highlighting
  • Supports Aggregating Facets:
    • Terms Facet
    • Numeric Range Facet
    • Date Range Facet

Discussion

Discuss usage and development of bleve in the google group.

Indexing

message := struct{
	Id   string
	From string
	Body string
}{
	Id:   "example",
	From: "marty.schoch@gmail.com",
	Body: "bleve indexing is easy",
}

mapping := bleve.NewIndexMapping()
index, err := bleve.New("example.bleve", mapping)
if err != nil {
	panic(err)
}
index.Index(message.Id, message)

Querying

index, _ := bleve.Open("example.bleve")
query := bleve.NewQueryStringQuery("bleve")
searchRequest := bleve.NewSearchRequest(query)
searchResult, _ := index.Search(searchRequest)

License

Apache License Version 2.0

Documentation

Overview

Package bleve is a library for indexing and searching text.

Example Opening New Index, Indexing Data 

message := struct{
    Id:   "example"
    From: "marty.schoch@gmail.com",
    Body: "bleve indexing is easy",
}

mapping := bleve.NewIndexMapping()
index, _ := bleve.New("example.bleve", mapping)
index.Index(message.Id, message)

Example Opening Existing Index, Searching Data 

index, _ := bleve.Open("example.bleve")
query := bleve.NewQueryStringQuery("bleve")
searchRequest := bleve.NewSearchRequest(query)
searchResult, _ := index.Search(searchRequest)

Index

Examples

Constants

This section is empty.

Variables

View Source 
var Config *configuration

Config contains library level configuration

Functions

func NewBoolFieldQuery 

func NewBoolFieldQuery(val bool) *query.BoolFieldQuery

NewBoolFieldQuery creates a new Query for boolean fields

func NewBooleanFieldMapping 

func NewBooleanFieldMapping() *mapping.FieldMapping

NewBooleanFieldMapping returns a default field mapping for booleans

func NewBooleanQuery 

func NewBooleanQuery() *query.BooleanQuery

NewBooleanQuery creates a compound Query composed of several other Query objects. These other query objects are added using the AddMust() AddShould() and AddMustNot() methods. Result documents must satisfy ALL of the must Queries. Result documents must satisfy NONE of the must not Queries. Result documents that ALSO satisfy any of the should Queries will score higher.

Example 
must := NewMatchQuery("one")
mustNot := NewMatchQuery("great")
query := NewBooleanQuery()
query.AddMust(must)
query.AddMustNot(mustNot)
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)

Output:

document id 1

func NewConjunctionQuery 

func NewConjunctionQuery(conjuncts ...query.Query) *query.ConjunctionQuery

NewConjunctionQuery creates a new compound Query. Result documents must satisfy all of the queries.

Example 
conjunct1 := NewMatchQuery("great")
conjunct2 := NewMatchQuery("one")
query := NewConjunctionQuery(conjunct1, conjunct2)
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)

Output:

document id 2

func NewDateRangeInclusiveQuery 

func NewDateRangeInclusiveQuery(start, end time.Time, startInclusive, endInclusive *bool) *query.DateRangeQuery

NewDateRangeInclusiveQuery creates a new Query for ranges of date values. Date strings are parsed using the DateTimeParser configured in the 

top-level config.QueryDateTimeParser

Either, but not both endpoints can be nil. startInclusive and endInclusive control inclusion of the endpoints.

func NewDateRangeQuery 

func NewDateRangeQuery(start, end time.Time) *query.DateRangeQuery

NewDateRangeQuery creates a new Query for ranges of date values. Date strings are parsed using the DateTimeParser configured in the 

top-level config.QueryDateTimeParser

Either, but not both endpoints can be nil.

func NewDateTimeFieldMapping 

func NewDateTimeFieldMapping() *mapping.FieldMapping

NewDateTimeFieldMapping returns a default field mapping for dates

func NewDisjunctionQuery 

func NewDisjunctionQuery(disjuncts ...query.Query) *query.DisjunctionQuery

NewDisjunctionQuery creates a new compound Query. Result documents satisfy at least one Query.

Example 
disjunct1 := NewMatchQuery("great")
disjunct2 := NewMatchQuery("named")
query := NewDisjunctionQuery(disjunct1, disjunct2)
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(len(searchResults.Hits))

Output:

2

func NewDocIDQuery 

func NewDocIDQuery(ids []string) *query.DocIDQuery

NewDocIDQuery creates a new Query object returning indexed documents among the specified set. Combine it with ConjunctionQuery to restrict the scope of other queries output.

func NewDocumentDisabledMapping 

func NewDocumentDisabledMapping() *mapping.DocumentMapping

NewDocumentDisabledMapping returns a new document mapping that will not perform any indexing.

func NewDocumentMapping 

func NewDocumentMapping() *mapping.DocumentMapping

NewDocumentMapping returns a new document mapping with all the default values.

func NewDocumentStaticMapping 

func NewDocumentStaticMapping() *mapping.DocumentMapping

NewDocumentStaticMapping returns a new document mapping that will not automatically index parts of a document without an explicit mapping.

func NewFuzzyQuery 

func NewFuzzyQuery(term string) *query.FuzzyQuery

NewFuzzyQuery creates a new Query which finds documents containing terms within a specific fuzziness of the specified term. The default fuzziness is 1.

The current implementation uses Levenshtein edit distance as the fuzziness metric.

func NewGeoBoundingBoxQuery 

func NewGeoBoundingBoxQuery(topLeftLon, topLeftLat, bottomRightLon, bottomRightLat float64) *query.GeoBoundingBoxQuery

NewGeoBoundingBoxQuery creates a new Query for performing geo bounding box searches. The arguments describe the position of the box and documents which have an indexed geo point inside the box will be returned.

func NewGeoDistanceQuery 

func NewGeoDistanceQuery(lon, lat float64, distance string) *query.GeoDistanceQuery

NewGeoDistanceQuery creates a new Query for performing geo bounding box searches. The arguments describe a position and a distance. Documents which have an indexed geo point which is less than or equal to the provided distance from the given position will be returned.

func NewGeoPointFieldMapping 

func NewGeoPointFieldMapping() *mapping.FieldMapping

func NewIndexAlias 

func NewIndexAlias(indexes ...Index) *indexAliasImpl

NewIndexAlias creates a new IndexAlias over the provided Index objects.

func NewIndexMapping 

func NewIndexMapping() *mapping.IndexMappingImpl

NewIndexMapping creates a new IndexMapping that will use all the default indexing rules

func NewMatchAllQuery 

func NewMatchAllQuery() *query.MatchAllQuery

NewMatchAllQuery creates a Query which will match all documents in the index.

Example 
// finds all documents in the index
query := NewMatchAllQuery()
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(len(searchResults.Hits))

Output:

2

func NewMatchNoneQuery 

func NewMatchNoneQuery() *query.MatchNoneQuery

NewMatchNoneQuery creates a Query which will not match any documents in the index.

Example 
// matches no documents in the index
query := NewMatchNoneQuery()
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(len(searchResults.Hits))

Output:

0

func NewMatchPhraseQuery 

func NewMatchPhraseQuery(matchPhrase string) *query.MatchPhraseQuery

NewMatchPhraseQuery creates a new Query object for matching phrases in the index. An Analyzer is chosen based on the field. Input text is analyzed using this analyzer. Token terms resulting from this analysis are used to build a search phrase. Result documents must match this phrase. Queried field must have been indexed with IncludeTermVectors set to true.

Example 
// finds all documents with the given phrase in the index
query := NewMatchPhraseQuery("nameless one")
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)

Output:

document id 2

func NewMatchQuery 

func NewMatchQuery(match string) *query.MatchQuery

NewMatchQuery creates a Query for matching text. An Analyzer is chosen based on the field. Input text is analyzed using this analyzer. Token terms resulting from this analysis are used to perform term searches. Result documents must satisfy at least one of these term searches.

Example 
// finds documents with fields fully matching the given query text
query := NewMatchQuery("named one")
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)

Output:

document id 1

func NewNumericFieldMapping 

func NewNumericFieldMapping() *mapping.FieldMapping

NewNumericFieldMapping returns a default field mapping for numbers

func NewNumericRangeInclusiveQuery 

func NewNumericRangeInclusiveQuery(min, max *float64, minInclusive, maxInclusive *bool) *query.NumericRangeQuery

NewNumericRangeInclusiveQuery creates a new Query for ranges of numeric values. Either, but not both endpoints can be nil. Control endpoint inclusion with inclusiveMin, inclusiveMax.

Example 
value1 := float64(10)
value2 := float64(100)
v1incl := false
v2incl := false

query := NewNumericRangeInclusiveQuery(&value1, &value2, &v1incl, &v2incl)
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)

Output:

document id 3

func NewNumericRangeQuery 

func NewNumericRangeQuery(min, max *float64) *query.NumericRangeQuery

NewNumericRangeQuery creates a new Query for ranges of numeric values. Either, but not both endpoints can be nil. The minimum value is inclusive. The maximum value is exclusive.

Example 
value1 := float64(11)
value2 := float64(100)
data := struct{ Priority float64 }{Priority: float64(15)}
data2 := struct{ Priority float64 }{Priority: float64(10)}

err = exampleIndex.Index("document id 3", data)
if err != nil {
	panic(err)
}
err = exampleIndex.Index("document id 4", data2)
if err != nil {
	panic(err)
}

query := NewNumericRangeQuery(&value1, &value2)
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)

Output:

document id 3

func NewPhraseQuery 

func NewPhraseQuery(terms []string, field string) *query.PhraseQuery

NewPhraseQuery creates a new Query for finding exact term phrases in the index. The provided terms must exist in the correct order, at the correct index offsets, in the specified field. Queried field must have been indexed with IncludeTermVectors set to true.

Example 
// finds all documents with the given phrases in the given field in the index
query := NewPhraseQuery([]string{"nameless", "one"}, "Name")
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)

Output:

document id 2

func NewPrefixQuery 

func NewPrefixQuery(prefix string) *query.PrefixQuery

NewPrefixQuery creates a new Query which finds documents containing terms that start with the specified prefix.

Example 
// finds all documents with terms having the given prefix in the index
query := NewPrefixQuery("name")
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(len(searchResults.Hits))

Output:

2

func NewQueryStringQuery 

func NewQueryStringQuery(q string) *query.QueryStringQuery

NewQueryStringQuery creates a new Query used for finding documents that satisfy a query string. The query string is a small query language for humans.

Example 
query := NewQueryStringQuery("+one -great")
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)

Output:

document id 1

func NewRegexpQuery 

func NewRegexpQuery(regexp string) *query.RegexpQuery

NewRegexpQuery creates a new Query which finds documents containing terms that match the specified regular expression.

func NewTermQuery 

func NewTermQuery(term string) *query.TermQuery

NewTermQuery creates a new Query for finding an exact term match in the index.

Example 
query := NewTermQuery("great")
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)

Output:

document id 2

func NewTermRangeInclusiveQuery 

func NewTermRangeInclusiveQuery(min, max string, minInclusive, maxInclusive *bool) *query.TermRangeQuery

NewTermRangeInclusiveQuery creates a new Query for ranges of text terms. Either, but not both endpoints can be "". Control endpoint inclusion with inclusiveMin, inclusiveMax.

func NewTermRangeQuery 

func NewTermRangeQuery(min, max string) *query.TermRangeQuery

NewTermRangeQuery creates a new Query for ranges of text terms. Either, but not both endpoints can be "". The minimum value is inclusive. The maximum value is exclusive.

func NewTextFieldMapping 

func NewTextFieldMapping() *mapping.FieldMapping

NewTextFieldMapping returns a default field mapping for text

func NewWildcardQuery 

func NewWildcardQuery(wildcard string) *query.WildcardQuery

NewWildcardQuery creates a new Query which finds documents containing terms that match the specified wildcard. In the wildcard pattern '*' will match any sequence of 0 or more characters, and '?' will match any single character.

func SetLog 

func SetLog(l *log.Logger)

SetLog sets the logger used for logging by default log messages are sent to ioutil.Discard

Types

type Batch 

type Batch struct {
	// contains filtered or unexported fields
}

A Batch groups together multiple Index and Delete operations you would like performed at the same time. The Batch structure is NOT thread-safe. You should only perform operations on a batch from a single thread at a time. Once batch execution has started, you may not modify it.

func (*Batch) Delete 

func (b *Batch) Delete(id string)

Delete adds the specified delete operation to the batch. NOTE: the bleve Index is not updated until the batch is executed.

func (*Batch) DeleteInternal 

func (b *Batch) DeleteInternal(key []byte)

SetInternal adds the specified delete internal operation to the batch. NOTE: the bleve Index is not updated until the batch is executed.

func (*Batch) Index 

func (b *Batch) Index(id string, data interface{}) error

Index adds the specified index operation to the batch. NOTE: the bleve Index is not updated until the batch is executed.

func (*Batch) Reset 

func (b *Batch) Reset()

Reset returns a Batch to the empty state so that it can be re-used in the future.

func (*Batch) SetInternal 

func (b *Batch) SetInternal(key, val []byte)

SetInternal adds the specified set internal operation to the batch. NOTE: the bleve Index is not updated until the batch is executed.

func (*Batch) Size 

func (b *Batch) Size() int

Size returns the total number of operations inside the batch including normal index operations and internal operations.

func (*Batch) String 

func (b *Batch) String() string

String prints a user friendly string representation of what is inside this batch.

type Error 

type Error int

Error represents a more strongly typed bleve error for detecting and handling specific types of errors. 

const (
	ErrorIndexPathExists Error = iota
	ErrorIndexPathDoesNotExist
	ErrorIndexMetaMissing
	ErrorIndexMetaCorrupt
	ErrorUnknownStorageType
	ErrorIndexClosed
	ErrorAliasMulti
	ErrorAliasEmpty
	ErrorUnknownIndexType
	ErrorEmptyID
	ErrorIndexReadInconsistency
)

Constant Error values which can be compared to determine the type of error

func (Error) Error 

func (e Error) Error() string

type FacetRequest 

type FacetRequest struct {
	Size           int              `json:"size"`
	Field          string           `json:"field"`
	NumericRanges  []*numericRange  `json:"numeric_ranges,omitempty"`
	DateTimeRanges []*dateTimeRange `json:"date_ranges,omitempty"`
}

A FacetRequest describes a facet or aggregation of the result document set you would like to be built.

func NewFacetRequest 

func NewFacetRequest(field string, size int) *FacetRequest

NewFacetRequest creates a facet on the specified field that limits the number of entries to the specified size.

Example 
facet := NewFacetRequest("Name", 1)
query := NewMatchAllQuery()
searchRequest := NewSearchRequest(query)
searchRequest.AddFacet("facet name", facet)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

// total number of terms
fmt.Println(searchResults.Facets["facet name"].Total)
// numer of docs with no value for this field
fmt.Println(searchResults.Facets["facet name"].Missing)
// term with highest occurrences in field name
fmt.Println(searchResults.Facets["facet name"].Terms[0].Term)

Output:

5
2
one

func (*FacetRequest) AddDateTimeRange 

func (fr *FacetRequest) AddDateTimeRange(name string, start, end time.Time)

AddDateTimeRange adds a bucket to a field containing date values. Documents with a date value falling into this range are tabulated as part of this bucket/range.

Example 
facet := NewFacetRequest("Created", 1)
facet.AddDateTimeRange("range name", time.Unix(0, 0), time.Now())
query := NewMatchAllQuery()
searchRequest := NewSearchRequest(query)
searchRequest.AddFacet("facet name", facet)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

// dates in field Created since starting of unix time till now
fmt.Println(searchResults.Facets["facet name"].DateRanges[0].Count)

Output:

2

func (*FacetRequest) AddNumericRange 

func (fr *FacetRequest) AddNumericRange(name string, min, max *float64)

AddNumericRange adds a bucket to a field containing numeric values. Documents with a numeric value falling into this range are tabulated as part of this bucket/range.

Example 
value1 := float64(11)

facet := NewFacetRequest("Priority", 1)
facet.AddNumericRange("range name", &value1, nil)
query := NewMatchAllQuery()
searchRequest := NewSearchRequest(query)
searchRequest.AddFacet("facet name", facet)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

// number documents with field Priority in the given range
fmt.Println(searchResults.Facets["facet name"].NumericRanges[0].Count)

Output:

1

func (*FacetRequest) Validate 

func (fr *FacetRequest) Validate() error

type FacetsRequest 

type FacetsRequest map[string]*FacetRequest

FacetsRequest groups together all the FacetRequest objects for a single query.

func (FacetsRequest) Validate 

func (fr FacetsRequest) Validate() error

type HighlightRequest 

type HighlightRequest struct {
	Style  *string  `json:"style"`
	Fields []string `json:"fields"`
}

HighlightRequest describes how field matches should be highlighted.

func NewHighlight 

func NewHighlight() *HighlightRequest

NewHighlight creates a default HighlightRequest.

Example 
query := NewMatchQuery("nameless")
searchRequest := NewSearchRequest(query)
searchRequest.Highlight = NewHighlight()
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].Fragments["Name"][0])

Output:

great <mark>nameless</mark> one

func NewHighlightWithStyle 

func NewHighlightWithStyle(style string) *HighlightRequest

NewHighlightWithStyle creates a HighlightRequest with an alternate style.

Example 
query := NewMatchQuery("nameless")
searchRequest := NewSearchRequest(query)
searchRequest.Highlight = NewHighlightWithStyle(ansi.Name)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].Fragments["Name"][0])

Output:

great �[43mnameless�[0m one

func (*HighlightRequest) AddField 

func (h *HighlightRequest) AddField(field string)

type Index 

type Index interface {
	// Index analyzes, indexes or stores mapped data fields. Supplied
	// identifier is bound to analyzed data and will be retrieved by search
	// requests. See Index interface documentation for details about mapping
	// rules.
	Index(id string, data interface{}) error
	Delete(id string) error

	NewBatch() *Batch
	Batch(b *Batch) error

	// Document returns specified document or nil if the document is not
	// indexed or stored.
	Document(id string) (*document.Document, error)
	// DocCount returns the number of documents in the index.
	DocCount() (uint64, error)

	Search(req *SearchRequest) (*SearchResult, error)
	SearchInContext(ctx context.Context, req *SearchRequest) (*SearchResult, error)

	Fields() ([]string, error)

	FieldDict(field string) (index.FieldDict, error)
	FieldDictRange(field string, startTerm []byte, endTerm []byte) (index.FieldDict, error)
	FieldDictPrefix(field string, termPrefix []byte) (index.FieldDict, error)

	Close() error

	Mapping() mapping.IndexMapping

	Stats() *IndexStat
	StatsMap() map[string]interface{}

	GetInternal(key []byte) ([]byte, error)
	SetInternal(key, val []byte) error
	DeleteInternal(key []byte) error

	// Name returns the name of the index (by default this is the path)
	Name() string
	// SetName lets you assign your own logical name to this index
	SetName(string)

	// Advanced returns the indexer and data store, exposing lower level
	// methods to enumerate records and access data.
	Advanced() (index.Index, store.KVStore, error)
}

An Index implements all the indexing and searching capabilities of bleve. An Index can be created using the New() and Open() methods.

Index() takes an input value, deduces a DocumentMapping for its type, assigns string paths to its fields or values then applies field mappings on them.

The DocumentMapping used to index a value is deduced by the following rules: 1) If value implements Classifier interface, resolve the mapping from Type(). 2) If value has a string field or value at IndexMapping.TypeField. (defaulting to "_type"), use it to resolve the mapping. Fields addressing is described below. 3) If IndexMapping.DefaultType is registered, return it. 4) Return IndexMapping.DefaultMapping.

Each field or nested field of the value is identified by a string path, then mapped to one or several FieldMappings which extract the result for analysis.

Struct values fields are identified by their "json:" tag, or by their name. Nested fields are identified by prefixing with their parent identifier, separated by a dot.

Map values entries are identified by their string key. Entries not indexed by strings are ignored. Entry values are identified recursively like struct fields.

Slice and array values are identified by their field name. Their elements are processed sequentially with the same FieldMapping.

String, float64 and time.Time values are identified by their field name. Other types are ignored.

Each value identifier is decomposed in its parts and recursively address SubDocumentMappings in the tree starting at the root DocumentMapping. If a mapping is found, all its FieldMappings are applied to the value. If no mapping is found and the root DocumentMapping is dynamic, default mappings are used based on value type and IndexMapping default configurations.

Finally, mapped values are analyzed, indexed or stored. See FieldMapping.Analyzer to know how an analyzer is resolved for a given field.

Examples: 

type Date struct {
  Day string `json:"day"`
  Month string
  Year string
}

type Person struct {
  FirstName string `json:"first_name"`
  LastName string
  BirthDate Date `json:"birth_date"`
}

A Person value FirstName is mapped by the SubDocumentMapping at "first_name". Its LastName is mapped by the one at "LastName". The day of BirthDate is mapped to the SubDocumentMapping "day" of the root SubDocumentMapping "birth_date". It will appear as the "birth_date.day" field in the index. The month is mapped to "birth_date.Month".

Example (Indexing) 
data := struct {
	Name    string
	Created time.Time
	Age     int
}{Name: "named one", Created: time.Now(), Age: 50}
data2 := struct {
	Name    string
	Created time.Time
	Age     int
}{Name: "great nameless one", Created: time.Now(), Age: 25}

// index some data
err = exampleIndex.Index("document id 1", data)
if err != nil {
	panic(err)
}
err = exampleIndex.Index("document id 2", data2)
if err != nil {
	panic(err)
}

// 2 documents have been indexed
count, err := exampleIndex.DocCount()
if err != nil {
	panic(err)
}

fmt.Println(count)

Output:

2

func New 

func New(path string, mapping mapping.IndexMapping) (Index, error)

New index at the specified path, must not exist. The provided mapping will be used for all Index/Search operations.

Example 
indexMapping = NewIndexMapping()
exampleIndex, err = New("path_to_index", indexMapping)
if err != nil {
	panic(err)
}
count, err := exampleIndex.DocCount()
if err != nil {
	panic(err)
}

fmt.Println(count)

Output:

0

func NewMemOnly 

func NewMemOnly(mapping mapping.IndexMapping) (Index, error)

NewMemOnly creates a memory-only index. The contents of the index is NOT persisted, and will be lost once closed. The provided mapping will be used for all Index/Search operations.

func NewUsing 

func NewUsing(path string, mapping mapping.IndexMapping, indexType string, kvstore string, kvconfig map[string]interface{}) (Index, error)

NewUsing creates index at the specified path, which must not already exist. The provided mapping will be used for all Index/Search operations. The specified index type will be used. The specified kvstore implementation will be used and the provided kvconfig will be passed to its constructor. Note that currently the values of kvconfig must be able to be marshaled and unmarshaled using the encoding/json library (used when reading/writing the index metadata file).

func Open 

func Open(path string) (Index, error)

Open index at the specified path, must exist. The mapping used when it was created will be used for all Index/Search operations.

func OpenUsing 

func OpenUsing(path string, runtimeConfig map[string]interface{}) (Index, error)

OpenUsing opens index at the specified path, must exist. The mapping used when it was created will be used for all Index/Search operations. The provided runtimeConfig can override settings persisted when the kvstore was created.

type IndexAlias 

type IndexAlias interface {
	Index

	Add(i ...Index)
	Remove(i ...Index)
	Swap(in, out []Index)
}

An IndexAlias is a wrapper around one or more Index objects. It has two distinct modes of operation. 1. When it points to a single index, ALL index operations are valid and will be passed through to the underlying index. 2. When it points to more than one index, the only valid operation is Search. In this case the search will be performed across all the underlying indexes and the results merged. Calls to Add/Remove/Swap the underlying indexes are atomic, so you can safely change the underlying Index objects while other components are performing operations.

type IndexErrMap 

type IndexErrMap map[string]error

IndexErrMap tracks errors with the name of the index where it occurred

func (IndexErrMap) MarshalJSON 

func (iem IndexErrMap) MarshalJSON() ([]byte, error)

MarshalJSON seralizes the error into a string for JSON consumption

func (IndexErrMap) UnmarshalJSON 

func (iem IndexErrMap) UnmarshalJSON(data []byte) error

type IndexStat 

type IndexStat struct {
	// contains filtered or unexported fields
}

func (*IndexStat) MarshalJSON 

func (is *IndexStat) MarshalJSON() ([]byte, error)

type IndexStats 

type IndexStats struct {
	// contains filtered or unexported fields
}

func NewIndexStats 

func NewIndexStats() *IndexStats

func (*IndexStats) Register 

func (i *IndexStats) Register(index Index)

func (*IndexStats) String 

func (i *IndexStats) String() string

func (*IndexStats) UnRegister 

func (i *IndexStats) UnRegister(index Index)

type SearchRequest 

type SearchRequest struct {
	Query            query.Query       `json:"query"`
	Size             int               `json:"size"`
	From             int               `json:"from"`
	Highlight        *HighlightRequest `json:"highlight"`
	Fields           []string          `json:"fields"`
	Facets           FacetsRequest     `json:"facets"`
	Explain          bool              `json:"explain"`
	Sort             search.SortOrder  `json:"sort"`
	IncludeLocations bool              `json:"includeLocations"`
}

A SearchRequest describes all the parameters needed to search the index. Query is required. Size/From describe how much and which part of the result set to return. Highlight describes optional search result highlighting. Fields describes a list of field values which should be retrieved for result documents, provided they were stored while indexing. Facets describe the set of facets to be computed. Explain triggers inclusion of additional search result score explanations. Sort describes the desired order for the results to be returned.

A special field named "*" can be used to return all fields.

func NewSearchRequest 

func NewSearchRequest(q query.Query) *SearchRequest

NewSearchRequest creates a new SearchRequest for the Query, using default values for all other search parameters.

Example 
// finds documents with fields fully matching the given query text
query := NewMatchQuery("named one")
searchRequest := NewSearchRequest(query)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)

Output:

document id 1

func NewSearchRequestOptions 

func NewSearchRequestOptions(q query.Query, size, from int, explain bool) *SearchRequest

NewSearchRequestOptions creates a new SearchRequest for the Query, with the requested size, from and explanation search parameters. By default results are ordered by score, descending.

func (*SearchRequest) AddFacet 

func (r *SearchRequest) AddFacet(facetName string, f *FacetRequest)

AddFacet adds a FacetRequest to this SearchRequest

Example 
facet := NewFacetRequest("Name", 1)
query := NewMatchAllQuery()
searchRequest := NewSearchRequest(query)
searchRequest.AddFacet("facet name", facet)
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

// total number of terms
fmt.Println(searchResults.Facets["facet name"].Total)
// numer of docs with no value for this field
fmt.Println(searchResults.Facets["facet name"].Missing)
// term with highest occurrences in field name
fmt.Println(searchResults.Facets["facet name"].Terms[0].Term)

Output:

5
2
one

func (*SearchRequest) SortBy 

func (r *SearchRequest) SortBy(order []string)

SortBy changes the request to use the requested sort order this form uses the simplified syntax with an array of strings each string can either be a field name or the magic value _id and _score which refer to the doc id and search score any of these values can optionally be prefixed with - to reverse the order

Example 
// find docs containing "one", order by Age instead of score
query := NewMatchQuery("one")
searchRequest := NewSearchRequest(query)
searchRequest.SortBy([]string{"Age"})
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)
fmt.Println(searchResults.Hits[1].ID)

Output:

document id 2
document id 1

func (*SearchRequest) SortByCustom 

func (r *SearchRequest) SortByCustom(order search.SortOrder)

SortByCustom changes the request to use the requested sort order

Example 
// find all docs, order by Age, with docs missing Age field first
query := NewMatchAllQuery()
searchRequest := NewSearchRequest(query)
searchRequest.SortByCustom(search.SortOrder{
	&search.SortField{
		Field:   "Age",
		Missing: search.SortFieldMissingFirst,
	},
})
searchResults, err := exampleIndex.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(searchResults.Hits[0].ID)
fmt.Println(searchResults.Hits[1].ID)
fmt.Println(searchResults.Hits[2].ID)
fmt.Println(searchResults.Hits[3].ID)

Output:

document id 3
document id 4
document id 2
document id 1

func (*SearchRequest) UnmarshalJSON 

func (r *SearchRequest) UnmarshalJSON(input []byte) error

UnmarshalJSON deserializes a JSON representation of a SearchRequest

func (*SearchRequest) Validate 

func (r *SearchRequest) Validate() error

type SearchResult 

type SearchResult struct {
	Status   *SearchStatus                  `json:"status"`
	Request  *SearchRequest                 `json:"request"`
	Hits     search.DocumentMatchCollection `json:"hits"`
	Total    uint64                         `json:"total_hits"`
	MaxScore float64                        `json:"max_score"`
	Took     time.Duration                  `json:"took"`
	Facets   search.FacetResults            `json:"facets"`
}

A SearchResult describes the results of executing a SearchRequest.

func MultiSearch 

func MultiSearch(ctx context.Context, req *SearchRequest, indexes ...Index) (*SearchResult, error)

MultiSearch executes a SearchRequest across multiple Index objects, then merges the results. The indexes must honor any ctx deadline.

func (*SearchResult) Merge 

func (sr *SearchResult) Merge(other *SearchResult)

Merge will merge together multiple SearchResults during a MultiSearch

func (*SearchResult) String 

func (sr *SearchResult) String() string

type SearchStatus 

type SearchStatus struct {
	Total      int         `json:"total"`
	Failed     int         `json:"failed"`
	Successful int         `json:"successful"`
	Errors     IndexErrMap `json:"errors,omitempty"`
}

SearchStatus is a secion in the SearchResult reporting how many underlying indexes were queried, how many were successful/failed and a map of any errors that were encountered

func (*SearchStatus) Merge 

func (ss *SearchStatus) Merge(other *SearchStatus)

Merge will merge together multiple SearchStatuses during a MultiSearch

Source Files

View all Source files

Directories

Path Synopsis
analyzer/custom
analyzer/keyword
analyzer/simple
analyzer/standard
analyzer/web
char/html
char/regexp
char/zerowidthnonjoiner
datetime/flexible
datetime/optional
lang/ar
lang/bg
lang/ca
lang/cjk
lang/ckb
lang/cs
lang/el
lang/en
Package en implements an analyzer with reasonable defaults for processing English text.
 Package en implements an analyzer with reasonable defaults for processing English text.
lang/eu
lang/fa
lang/fr
lang/ga
lang/gl
lang/hi
lang/hy
lang/id
lang/in
lang/it
lang/pt
token/apostrophe
token/camelcase
token/compound
token/edgengram
token/elision
token/keyword
token/length
token/lowercase
Package lowercase implements a TokenFilter which converts tokens to lower case according to unicode rules.
 Package lowercase implements a TokenFilter which converts tokens to lower case according to unicode rules.
token/ngram
token/porter
token/shingle
token/stop
Package stop implements a TokenFilter removing tokens found in a TokenMap.
 Package stop implements a TokenFilter removing tokens found in a TokenMap.
token/truncate
token/unicodenorm
tokenizer/character
tokenizer/exception
package exception implements a Tokenizer which extracts pieces matched by a regular expression from the input data, delegates the rest to another tokenizer, then insert back extracted parts in the token stream.
 package exception implements a Tokenizer which extracts pieces matched by a regular expression from the input data, delegates the rest to another tokenizer, then insert back extracted parts in the token stream.
tokenizer/letter
tokenizer/regexp
tokenizer/single
tokenizer/unicode
tokenizer/web
tokenizer/whitespace
tokenmap
package token_map implements a generic TokenMap, often used in conjunction with filters to remove or process specific tokens.
 package token_map implements a generic TokenMap, often used in conjunction with filters to remove or process specific tokens.
cmd
bleve
bleve/cmd
store
store/boltdb
Package boltdb implements a store.KVStore on top of BoltDB.
 Package boltdb implements a store.KVStore on top of BoltDB.
store/goleveldb
store/gtreap
Package gtreap provides an in-memory implementation of the KVStore interfaces using the gtreap balanced-binary treap, copy-on-write data structure.
 Package gtreap provides an in-memory implementation of the KVStore interfaces using the gtreap balanced-binary treap, copy-on-write data structure.
store/metrics
Package metrics provides a bleve.store.KVStore implementation that wraps another, real KVStore implementation, and uses go-metrics to track runtime performance metrics.
 Package metrics provides a bleve.store.KVStore implementation that wraps another, real KVStore implementation, and uses go-metrics to track runtime performance metrics.
store/moss
store/null
store/test
upsidedown
Package upsidedown is a generated protocol buffer package.
 Package upsidedown is a generated protocol buffer package.
collector
facet
highlight
highlight/format/ansi
highlight/format/html
highlight/fragmenter/simple
highlight/highlighter/ansi
highlight/highlighter/html
highlight/highlighter/simple
query
scorer
searcher

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