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bleve/mapping/field.go
Marty Schoch a16efa5e78 add experimental support for indexing/query geo points
New field type GeoPointField, or "geopoint" in mapping JSON.

Currently structs and maps are considered when a mapping explicitly
marks a field as type "geopoint".  Several variants of "lon", "lng", and "lat"
are looked for in map keys, struct field names, or method names.

New query type GeoBoundingBoxQuery searches for documents which have a
GeoPointField indexed with a value that is inside the specified bounding box.

New query type GeoDistanceQuery searches for documents which have a
GeoPointField indexed with a value that is less than or equal to the
specified distance from the specified location.

New sort by method "geo_distance".  Hits can be sorted by their distance
from the specified location.

New geo utility package with all routines ported from Lucene.

New FilteringSearcher, which wraps an existing Searcher, but filters
all hits with a user-provided callback.
2017-03-24 17:22:21 -07:00

322 lines
9.2 KiB
Go

// Copyright (c) 2014 Couchbase, Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package mapping
import (
"encoding/json"
"fmt"
"time"
"github.com/blevesearch/bleve/analysis"
"github.com/blevesearch/bleve/document"
"github.com/blevesearch/bleve/geo"
)
// control the default behavior for dynamic fields (those not explicitly mapped)
var (
IndexDynamic = true
StoreDynamic = true
)
// A FieldMapping describes how a specific item
// should be put into the index.
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"`
}
// NewTextFieldMapping returns a default field mapping for text
func NewTextFieldMapping() *FieldMapping {
return &FieldMapping{
Type: "text",
Store: true,
Index: true,
IncludeTermVectors: true,
IncludeInAll: true,
}
}
func newTextFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
rv := NewTextFieldMapping()
rv.Store = im.StoreDynamic
rv.Index = im.IndexDynamic
return rv
}
// NewNumericFieldMapping returns a default field mapping for numbers
func NewNumericFieldMapping() *FieldMapping {
return &FieldMapping{
Type: "number",
Store: true,
Index: true,
IncludeInAll: true,
}
}
func newNumericFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
rv := NewNumericFieldMapping()
rv.Store = im.StoreDynamic
rv.Index = im.IndexDynamic
return rv
}
// NewDateTimeFieldMapping returns a default field mapping for dates
func NewDateTimeFieldMapping() *FieldMapping {
return &FieldMapping{
Type: "datetime",
Store: true,
Index: true,
IncludeInAll: true,
}
}
func newDateTimeFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
rv := NewDateTimeFieldMapping()
rv.Store = im.StoreDynamic
rv.Index = im.IndexDynamic
return rv
}
// NewBooleanFieldMapping returns a default field mapping for booleans
func NewBooleanFieldMapping() *FieldMapping {
return &FieldMapping{
Type: "boolean",
Store: true,
Index: true,
IncludeInAll: true,
}
}
func newBooleanFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
rv := NewBooleanFieldMapping()
rv.Store = im.StoreDynamic
rv.Index = im.IndexDynamic
return rv
}
// NewGeoPointFieldMapping returns a default field mapping for geo points
func NewGeoPointFieldMapping() *FieldMapping {
return &FieldMapping{
Type: "geopoint",
Store: true,
Index: true,
IncludeInAll: true,
}
}
// Options returns the indexing options for this field.
func (fm *FieldMapping) Options() document.IndexingOptions {
var rv document.IndexingOptions
if fm.Store {
rv |= document.StoreField
}
if fm.Index {
rv |= document.IndexField
}
if fm.IncludeTermVectors {
rv |= document.IncludeTermVectors
}
return rv
}
func (fm *FieldMapping) processString(propertyValueString string, pathString string, path []string, indexes []uint64, context *walkContext) {
fieldName := getFieldName(pathString, path, fm)
options := fm.Options()
if fm.Type == "text" {
analyzer := fm.analyzerForField(path, context)
field := document.NewTextFieldCustom(fieldName, indexes, []byte(propertyValueString), options, analyzer)
context.doc.AddField(field)
if !fm.IncludeInAll {
context.excludedFromAll = append(context.excludedFromAll, fieldName)
}
} else if fm.Type == "datetime" {
dateTimeFormat := context.im.DefaultDateTimeParser
if fm.DateFormat != "" {
dateTimeFormat = fm.DateFormat
}
dateTimeParser := context.im.DateTimeParserNamed(dateTimeFormat)
if dateTimeParser != nil {
parsedDateTime, err := dateTimeParser.ParseDateTime(propertyValueString)
if err == nil {
fm.processTime(parsedDateTime, pathString, path, indexes, context)
}
}
}
}
func (fm *FieldMapping) processFloat64(propertyValFloat float64, pathString string, path []string, indexes []uint64, context *walkContext) {
fieldName := getFieldName(pathString, path, fm)
if fm.Type == "number" {
options := fm.Options()
field := document.NewNumericFieldWithIndexingOptions(fieldName, indexes, propertyValFloat, options)
context.doc.AddField(field)
if !fm.IncludeInAll {
context.excludedFromAll = append(context.excludedFromAll, fieldName)
}
}
}
func (fm *FieldMapping) processTime(propertyValueTime time.Time, pathString string, path []string, indexes []uint64, context *walkContext) {
fieldName := getFieldName(pathString, path, fm)
if fm.Type == "datetime" {
options := fm.Options()
field, err := document.NewDateTimeFieldWithIndexingOptions(fieldName, indexes, propertyValueTime, options)
if err == nil {
context.doc.AddField(field)
} else {
logger.Printf("could not build date %v", err)
}
if !fm.IncludeInAll {
context.excludedFromAll = append(context.excludedFromAll, fieldName)
}
}
}
func (fm *FieldMapping) processBoolean(propertyValueBool bool, pathString string, path []string, indexes []uint64, context *walkContext) {
fieldName := getFieldName(pathString, path, fm)
if fm.Type == "boolean" {
options := fm.Options()
field := document.NewBooleanFieldWithIndexingOptions(fieldName, indexes, propertyValueBool, options)
context.doc.AddField(field)
if !fm.IncludeInAll {
context.excludedFromAll = append(context.excludedFromAll, fieldName)
}
}
}
func (fm *FieldMapping) processGeoPoint(propertyMightBeGeoPoint interface{}, pathString string, path []string, indexes []uint64, context *walkContext) {
lon, lat, found := geo.ExtractGeoPoint(propertyMightBeGeoPoint)
if found {
fieldName := getFieldName(pathString, path, fm)
options := fm.Options()
field := document.NewGeoPointFieldWithIndexingOptions(fieldName, indexes, lon, lat, options)
context.doc.AddField(field)
if !fm.IncludeInAll {
context.excludedFromAll = append(context.excludedFromAll, fieldName)
}
}
}
func (fm *FieldMapping) analyzerForField(path []string, context *walkContext) *analysis.Analyzer {
analyzerName := fm.Analyzer
if analyzerName == "" {
analyzerName = context.dm.defaultAnalyzerName(path)
if analyzerName == "" {
analyzerName = context.im.DefaultAnalyzer
}
}
return context.im.AnalyzerNamed(analyzerName)
}
func getFieldName(pathString string, path []string, fieldMapping *FieldMapping) string {
fieldName := pathString
if fieldMapping.Name != "" {
parentName := ""
if len(path) > 1 {
parentName = encodePath(path[:len(path)-1]) + pathSeparator
}
fieldName = parentName + fieldMapping.Name
}
return fieldName
}
// UnmarshalJSON offers custom unmarshaling with optional strict validation
func (fm *FieldMapping) UnmarshalJSON(data []byte) error {
var tmp map[string]json.RawMessage
err := json.Unmarshal(data, &tmp)
if err != nil {
return err
}
var invalidKeys []string
for k, v := range tmp {
switch k {
case "name":
err := json.Unmarshal(v, &fm.Name)
if err != nil {
return err
}
case "type":
err := json.Unmarshal(v, &fm.Type)
if err != nil {
return err
}
case "analyzer":
err := json.Unmarshal(v, &fm.Analyzer)
if err != nil {
return err
}
case "store":
err := json.Unmarshal(v, &fm.Store)
if err != nil {
return err
}
case "index":
err := json.Unmarshal(v, &fm.Index)
if err != nil {
return err
}
case "include_term_vectors":
err := json.Unmarshal(v, &fm.IncludeTermVectors)
if err != nil {
return err
}
case "include_in_all":
err := json.Unmarshal(v, &fm.IncludeInAll)
if err != nil {
return err
}
case "date_format":
err := json.Unmarshal(v, &fm.DateFormat)
if err != nil {
return err
}
default:
invalidKeys = append(invalidKeys, k)
}
}
if MappingJSONStrict && len(invalidKeys) > 0 {
return fmt.Errorf("field mapping contains invalid keys: %v", invalidKeys)
}
return nil
}