bleve

package module
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 Go to latest Published: Jan 27, 2016 License: Apache-2.0 Imports: 35 Imported by: 0

README

bleve bleve

Build Status Coverage Status GoDoc

modern text indexing in go - blevesearch.com

Try out bleve live by searching our wiki.

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 (
	IndexDynamic = true
	StoreDynamic = true
)

control the default behavior for dynamic fields (those not explicitly mapped)

View Source 
var Config *configuration

Config contains library level configuration

Functions

func DumpQuery 

func DumpQuery(m *IndexMapping, query Query) (string, error)

DumpQuery returns a string representation of the query tree, where query string queries have been expanded into base queries. The output format is meant for debugging purpose and may change in the future.

func NewBoolFieldQuery 

func NewBoolFieldQuery(val bool) *boolFieldQuery

NewBoolFieldQuery creates a new Query for boolean fields

func NewBooleanQuery 

func NewBooleanQuery(must []Query, should []Query, mustNot []Query) *booleanQuery

NewBooleanQuery creates a compound Query composed of several other Query objects. 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 := make([]Query, 1)
mustNot := make([]Query, 1)
must[0] = NewMatchQuery("one")
mustNot[0] = NewMatchQuery("great")
query := NewBooleanQuery(must, nil, mustNot)
searchRequest := NewSearchRequest(query)
searchResults, err := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

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

Output:

document id 1

func NewBooleanQueryMinShould 

func NewBooleanQueryMinShould(must []Query, should []Query, mustNot []Query, minShould float64) *booleanQuery

NewBooleanQueryMinShould is the same as NewBooleanQuery, only it offers control of the minimum number of should queries that must be satisfied.

Example 
should := make([]Query, 2)
should[0] = NewMatchQuery("great")
should[1] = NewMatchQuery("one")
query := NewBooleanQueryMinShould(nil, should, nil, float64(2))
searchRequest := NewSearchRequest(query)
searchResults, err := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

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

Output:

document id 2

func NewConjunctionQuery 

func NewConjunctionQuery(conjuncts []Query) *conjunctionQuery

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

Example 
conjuncts := make([]Query, 2)
conjuncts[0] = NewMatchQuery("great")
conjuncts[1] = NewMatchQuery("one")
query := NewConjunctionQuery(conjuncts)
searchRequest := NewSearchRequest(query)
searchResults, err := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

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

Output:

document id 2

func NewDateRangeInclusiveQuery 

func NewDateRangeInclusiveQuery(start, end *string, startInclusive, endInclusive *bool) *dateRangeQuery

NewDateRangeInclusiveQuery creates a new Query for ranges of date values. A DateTimeParser is chosen based on the field. Either, but not both endpoints can be nil. startInclusive and endInclusive control inclusion of the endpoints.

func NewDateRangeQuery 

func NewDateRangeQuery(start, end *string) *dateRangeQuery

NewDateRangeQuery creates a new Query for ranges of date values. A DateTimeParser is chosen based on the field. Either, but not both endpoints can be nil.

func NewDisjunctionQuery 

func NewDisjunctionQuery(disjuncts []Query) *disjunctionQuery

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

Example 
disjuncts := make([]Query, 2)
disjuncts[0] = NewMatchQuery("great")
disjuncts[1] = NewMatchQuery("named")
query := NewDisjunctionQuery(disjuncts)
searchRequest := NewSearchRequest(query)
searchResults, err := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(len(searchResults.Hits))

Output:

2

func NewDisjunctionQueryMin 

func NewDisjunctionQueryMin(disjuncts []Query, min float64) *disjunctionQuery

NewDisjunctionQueryMin creates a new compound Query. Result documents satisfy at least min Queries.

Example 
disjuncts := make([]Query, 2)
disjuncts[0] = NewMatchQuery("great")
disjuncts[1] = NewMatchQuery("named")
query := NewDisjunctionQueryMin(disjuncts, float64(2))
searchRequest := NewSearchRequest(query)
searchResults, err := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(len(searchResults.Hits))

Output:

0

func NewDocIDQuery 

func NewDocIDQuery(ids []string) *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 NewFuzzyQuery 

func NewFuzzyQuery(term string) *fuzzyQuery

NewFuzzyQuery creates a new Query which finds documents containing terms within a specific fuzziness of the specified term. The default fuzziness is 2.

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

func NewIndexAlias 

func NewIndexAlias(indexes ...Index) *indexAliasImpl

NewIndexAlias creates a new IndexAlias over the provided Index objects.

func NewMatchAllQuery 

func NewMatchAllQuery() *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 := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(len(searchResults.Hits))

Output:

2

func NewMatchNoneQuery 

func NewMatchNoneQuery() *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 := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(len(searchResults.Hits))

Output:

0

func NewMatchPhraseQuery 

func NewMatchPhraseQuery(matchPhrase string) *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 := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

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

Output:

document id 2

func NewMatchQuery 

func NewMatchQuery(match string) *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 := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

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

Output:

document id 1

func NewNumericRangeInclusiveQuery 

func NewNumericRangeInclusiveQuery(min, max *float64, minInclusive, maxInclusive *bool) *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 := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

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

Output:

document id 3

func NewNumericRangeQuery 

func NewNumericRangeQuery(min, max *float64) *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 = example_index.Index("document id 3", data)
if err != nil {
	panic(err)
}
err = example_index.Index("document id 4", data2)
if err != nil {
	panic(err)
}

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

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

Output:

document id 2

func NewPrefixQuery 

func NewPrefixQuery(prefix string) *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 := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

fmt.Println(len(searchResults.Hits))

Output:

2

func NewQueryStringQuery 

func NewQueryStringQuery(query string) *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 := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

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

Output:

document id 1

func NewRegexpQuery 

func NewRegexpQuery(regexp string) *regexpQuery

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

func NewTermQuery 

func NewTermQuery(term string) *termQuery

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

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

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

Output:

document id 2

func NewWildcardQuery 

func NewWildcardQuery(wildcard string) *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 Classifier 

type Classifier interface {
	Type() string
}

A Classifier is an interface describing any object which knows how to identify its own type.

type DocumentMapping 

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"`
}

A DocumentMapping describes how a type of document should be indexed. As documents can be hierarchical, named sub-sections of documents are mapped using the same structure in the Properties field. Each value inside a document can be indexed 0 or more ways. These index entries are called fields and are stored in the Fields field. Entire sections of a document can be ignored or excluded by setting Enabled to false. If not explicitly mapped, default mapping operations are used. To disable this automatic handling, set Dynamic to false.

func NewDocumentDisabledMapping 

func NewDocumentDisabledMapping() *DocumentMapping

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

func NewDocumentMapping 

func NewDocumentMapping() *DocumentMapping

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

func NewDocumentStaticMapping 

func NewDocumentStaticMapping() *DocumentMapping

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

func (*DocumentMapping) AddFieldMapping 

func (dm *DocumentMapping) AddFieldMapping(fm *FieldMapping)

AddFieldMapping adds the provided FieldMapping for this section of the document.

Example 
// you can only add field mapping to those properties which already have a document mapping
documentMapping := NewDocumentMapping()
subDocumentMapping := NewDocumentMapping()
documentMapping.AddSubDocumentMapping("Property", subDocumentMapping)

fieldMapping := NewTextFieldMapping()
fieldMapping.Analyzer = "en"
subDocumentMapping.AddFieldMapping(fieldMapping)

fmt.Println(len(documentMapping.Properties["Property"].Fields))

Output:

1

func (*DocumentMapping) AddFieldMappingsAt 

func (dm *DocumentMapping) AddFieldMappingsAt(property string, fms ...*FieldMapping)

AddFieldMappingsAt adds one or more FieldMappings at the named sub-document. If the named sub-document doesn't yet exist it is created for you. This is a convenience function to make most common mappings more concise. Otherwise, you would: 

subMapping := NewDocumentMapping()
subMapping.AddFieldMapping(fieldMapping)
parentMapping.AddSubDocumentMapping(property, subMapping)
Example 
// you can only add field mapping to those properties which already have a document mapping
documentMapping := NewDocumentMapping()
subDocumentMapping := NewDocumentMapping()
documentMapping.AddSubDocumentMapping("NestedProperty", subDocumentMapping)

fieldMapping := NewTextFieldMapping()
fieldMapping.Analyzer = "en"
documentMapping.AddFieldMappingsAt("NestedProperty", fieldMapping)

fmt.Println(len(documentMapping.Properties["NestedProperty"].Fields))

Output:

1

func (*DocumentMapping) AddSubDocumentMapping 

func (dm *DocumentMapping) AddSubDocumentMapping(property string, sdm *DocumentMapping)

AddSubDocumentMapping adds the provided DocumentMapping as a sub-mapping for the specified named subsection.

Example 
// adds a document mapping for a property in a document
// useful for mapping nested documents
documentMapping := NewDocumentMapping()
subDocumentMapping := NewDocumentMapping()
documentMapping.AddSubDocumentMapping("Property", subDocumentMapping)

fmt.Println(len(documentMapping.Properties))

Output:

1

func (*DocumentMapping) UnmarshalJSON 

func (dm *DocumentMapping) UnmarshalJSON(data []byte) error

UnmarshalJSON deserializes a JSON representation of the DocumentMapping.

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
	ErrorDisjunctionFewerThanMinClauses
	ErrorBooleanQueryNeedsMustOrShouldOrNotMust
	ErrorNumericQueryNoBounds
	ErrorPhraseQueryNoTerms
	ErrorUnknownQueryType
	ErrorUnknownStorageType
	ErrorIndexClosed
	ErrorAliasMulti
	ErrorAliasEmpty
	ErrorUnknownIndexType
	ErrorEmptyID
)

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 := example_index.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 := example_index.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 := example_index.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

type FacetsRequest 

type FacetsRequest map[string]*FacetRequest

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

type FieldMapping 

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

	// Analyzer specifies the name of the analyzer to use for this field.  If
	// Analyzer is empty, traverse the DocumentMapping tree toward the root and
	// pick the first non-empty DefaultAnalyzer found. If there is none, use
	// the IndexMapping.DefaultAnalyzer.
	Analyzer string `json:"analyzer,omitempty"`

	// 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"`
	Index bool `json:"index,omitempty"`

	// 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"`
}

A FieldMapping describes how a specific item should be put into the index.

func NewBooleanFieldMapping 

func NewBooleanFieldMapping() *FieldMapping

NewBooleanFieldMapping returns a default field mapping for booleans

func NewDateTimeFieldMapping 

func NewDateTimeFieldMapping() *FieldMapping

NewDateTimeFieldMapping returns a default field mapping for dates

func NewNumericFieldMapping 

func NewNumericFieldMapping() *FieldMapping

NewNumericFieldMapping returns a default field mapping for numbers

func NewTextFieldMapping 

func NewTextFieldMapping() *FieldMapping

NewTextFieldMapping returns a default field mapping for text

func (*FieldMapping) Options 

func (fm *FieldMapping) Options() document.IndexingOptions

Options returns the indexing options for this field.

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 := example_index.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 := example_index.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)

	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)

	// DumpAll returns a channel receiving all index rows as
	// UpsideDownCouchRow, in lexicographic byte order. If the enumeration
	// fails, an error is sent. The channel is closed once the enumeration
	// completes or an error is encountered. The caller must consume all
	// channel entries until the channel is closed to ensure the transaction
	// and other resources associated with the enumeration are released.
	//
	// DumpAll exists for debugging and tooling purpose and may change in the
	// future.
	DumpAll() chan interface{}

	// DumpDoc works like DumpAll but returns only StoredRows and
	// TermFrequencyRows related to a document.
	DumpDoc(id string) chan interface{}

	// DumpFields works like DumpAll but returns only FieldRows.
	DumpFields() chan interface{}

	Close() error

	Mapping() *IndexMapping

	Stats() *IndexStat

	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.

If the value is a []byte, the indexer attempts to convert it to something else using the ByteArrayConverter registered as IndexMapping.ByteArrayConverter. By default, it interprets the value as a JSON payload and unmarshals it to map[string]interface{}.

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
}{Name: "named one", Created: time.Now()}
data2 := struct {
	Name    string
	Created time.Time
}{Name: "great nameless one", Created: time.Now()}

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

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

fmt.Println(count)

Output:

2

func New 

func New(path string, 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 
mapping = NewIndexMapping()
example_index, err = New("path_to_index", mapping)
if err != nil {
	panic(err)
}
count, err := example_index.DocCount()
if err != nil {
	panic(err)
}

fmt.Println(count)

Output:

0

func NewUsing 

func NewUsing(path string, 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.

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 IndexMapping 

type IndexMapping 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"`
	ByteArrayConverter    string                      `json:"byte_array_converter"`
	CustomAnalysis        *customAnalysis             `json:"analysis,omitempty"`
	// contains filtered or unexported fields
}

An IndexMapping controls how objects are placed into an index. First the type of the object is determined. Once the type is know, the appropriate DocumentMapping is selected by the type. If no mapping was determined for that type, a DefaultMapping will be used.

func NewIndexMapping 

func NewIndexMapping() *IndexMapping

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

func (*IndexMapping) AddCustomAnalyzer 

func (im *IndexMapping) AddCustomAnalyzer(name string, config map[string]interface{}) error

AddCustomAnalyzer defines a custom analyzer for use in this mapping. The config map must have a "type" string entry to resolve the analyzer constructor. The constructor is invoked with the remaining entries and returned analyzer is registered in the IndexMapping.

bleve comes with predefined analyzers, like github.com/blevesearch/bleve/analysis/analyzers/custom_analyzer. They are available only if their package is imported by client code. To achieve this, use their metadata to fill configuration entries: 

import (
    "github.com/blevesearch/bleve/analysis/analyzers/custom_analyzer"
    "github.com/blevesearch/bleve/analysis/char_filters/html_char_filter"
    "github.com/blevesearch/bleve/analysis/token_filters/lower_case_filter"
    "github.com/blevesearch/bleve/analysis/tokenizers/unicode"
)

m := bleve.NewIndexMapping()
err := m.AddCustomAnalyzer("html", map[string]interface{}{
    "type": custom_analyzer.Name,
    "char_filters": []string{
        html_char_filter.Name,
    },
    "tokenizer":     unicode.Name,
    "token_filters": []string{
        lower_case_filter.Name,
        ...
    },
})

func (*IndexMapping) AddCustomCharFilter 

func (im *IndexMapping) AddCustomCharFilter(name string, config map[string]interface{}) error

AddCustomCharFilter defines a custom char filter for use in this mapping

func (*IndexMapping) AddCustomDateTimeParser 

func (im *IndexMapping) AddCustomDateTimeParser(name string, config map[string]interface{}) error

AddCustomDateTimeParser defines a custom date time parser for use in this mapping

func (*IndexMapping) AddCustomTokenFilter 

func (im *IndexMapping) AddCustomTokenFilter(name string, config map[string]interface{}) error

AddCustomTokenFilter defines a custom token filter for use in this mapping

func (*IndexMapping) AddCustomTokenMap 

func (im *IndexMapping) AddCustomTokenMap(name string, config map[string]interface{}) error

AddCustomTokenMap defines a custom token map for use in this mapping

func (*IndexMapping) AddCustomTokenizer 

func (im *IndexMapping) AddCustomTokenizer(name string, config map[string]interface{}) error

AddCustomTokenizer defines a custom tokenizer for use in this mapping

func (*IndexMapping) AddDocumentMapping 

func (im *IndexMapping) AddDocumentMapping(doctype string, dm *DocumentMapping)

AddDocumentMapping sets a custom document mapping for the specified type

func (*IndexMapping) AnalyzeText 

func (im *IndexMapping) AnalyzeText(analyzerName string, text []byte) (analysis.TokenStream, error)

func (*IndexMapping) FieldAnalyzer 

func (im *IndexMapping) FieldAnalyzer(field string) string

FieldAnalyzer returns the name of the analyzer used on a field.

func (*IndexMapping) UnmarshalJSON 

func (im *IndexMapping) UnmarshalJSON(data []byte) error

UnmarshalJSON deserializes a JSON representation of the IndexMapping

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 Query 

type Query interface {
	Boost() float64
	SetBoost(b float64) Query
	Field() string
	SetField(f string) Query
	Searcher(i index.IndexReader, m *IndexMapping, explain bool) (search.Searcher, error)
	Validate() error
}

A Query represents a description of the type and parameters for a query into the index.

func ParseQuery 

func ParseQuery(input []byte) (Query, error)

ParseQuery deserializes a JSON representation of a Query object.

type SearchRequest 

type SearchRequest struct {
	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"`
}

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.

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

func NewSearchRequest 

func NewSearchRequest(q 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 := example_index.Search(searchRequest)
if err != nil {
	panic(err)
}

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

Output:

document id 1

func NewSearchRequestOptions 

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

NewSearchRequestOptions creates a new SearchRequest for the Query, with the requested size, from and explanation search parameters.

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 := example_index.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) UnmarshalJSON 

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

UnmarshalJSON deserializes a JSON representation of a SearchRequest

type SearchResult 

type SearchResult struct {
	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(req *SearchRequest, indexes ...Index) (*SearchResult, error)

MultiSearch executes a SearchRequest across multiple Index objects, then merges the results.

func (*SearchResult) Merge 

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

func (*SearchResult) String 

func (sr *SearchResult) String() string

Source Files

View all Source files

Directories

Path Synopsis
analyzers/custom_analyzer
analyzers/keyword_analyzer
analyzers/simple_analyzer
analyzers/standard_analyzer
analyzers/web
byte_array_converters/ignore
byte_array_converters/json
byte_array_converters/string
char_filters/html_char_filter
char_filters/regexp_char_filter
char_filters/zero_width_non_joiner
datetime_parsers/datetime_optional
datetime_parsers/flexible_go
language/ar
language/bg
language/ca
language/cjk
language/ckb
language/cs
language/el
language/en
language/eu
language/fa
language/fr
language/ga
language/gl
language/hi
language/hy
language/id
language/in
language/it
language/ja
language/pt
token_filters/apostrophe_filter
token_filters/compound
token_filters/edge_ngram_filter
token_filters/elision_filter
token_filters/keyword_marker_filter
token_filters/length_filter
token_filters/lower_case_filter
token_filters/ngram_filter
token_filters/porter
token_filters/shingle
token_filters/stop_tokens_filter
package stop_tokens_filter implements a TokenFilter removing tokens found in a TokenMap.
 package stop_tokens_filter implements a TokenFilter removing tokens found in a TokenMap.
token_filters/truncate_token_filter
token_filters/unicode_normalize
token_map
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.
tokenizers/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.
tokenizers/regexp_tokenizer
tokenizers/single_token
tokenizers/unicode
tokenizers/web
tokenizers/whitespace_tokenizer
firestorm
Package firestorm is a generated protocol buffer package.
 Package firestorm is a generated protocol buffer package.
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/null
store/test
upside_down
Package upside_down is a generated protocol buffer package.
 Package upside_down is a generated protocol buffer package.
collectors
facets
highlight
highlight/fragment_formatters/ansi
highlight/fragment_formatters/html
highlight/fragmenters/simple
highlight/highlighters/ansi
highlight/highlighters/html
highlight/highlighters/simple
scorers
searchers
utils
bleve_bulkindex
bleve_create
bleve_dump
bleve_index
bleve_query
bleve_registry

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