猫鼬弹性搜索中的地理编码过滤器答案

【问题标题】：GeoCode filter in mongoose elasticsearch猫鼬弹性搜索中的地理编码过滤器
【发布时间】：2015-08-10 14:25:23
【问题描述】：

我正在尝试在 meanjs 中的 mongodb 中进行地理点过滤。我使用过 mongoosastic 模块，但我无法执行地理点过滤器。下面是过滤器的猫鼬模式和控制器代码。

猫鼬模式

    'use strict';
    /**
     * Module dependencies.
     */
    var mongoose = require('mongoose'),
            Schema = mongoose.Schema,
            mongoosastic = require('mongoosastic');

    var BusinessSchema = new Schema({
        name: {type: String, unique: 'Name already exists', trim: true, required: 'Name is required.', es_indexed: true},
        searchTags: {type: [String], es_indexed: true},
        alias: {type: Array, es_indexed: true},
        // geoLocation: { type: [Number], /*/ [<longitude>, <latitude>]*/ index: '2d', /*/ create the geospatial index,*/ required: 'GeoLocation is required.', es_indexed:true,es_type:'geo_point'},
        geo_cords: {
            type: Array
        },
        address: {
            address1: {type: String, required: 'Address is required', trim: true},
            address2: String,
            city: {type: String, required: 'City is required', trim: true},
            // state: {type: String, required: 'State is required', trim: true},
            country: {type: String, required: 'Country is required', trim: true},
            postalCode: {type: String, required: 'Postal code is required', trim: true},
            neighbourhood: String
        },
        isActive: {
            type: Boolean,
            default: true,
            es_indexed: true
        },
        dateUpdated: {
            type: Date
            , es_indexed: true
        },
        dateCreated: {
            type: Date,
            default: Date.now
            , es_indexed: true

        }
    });

过滤和查询的控制器代码

   var mongoose = require('mongoose'),
        Business = mongoose.model('Businesses');

    var query = {
        "query_string": {
            "multi_match": {
                "query": categoryIds.join(' OR '),
                "fields": ["categoryIds", "relatedCategoryIds"]
            }
        },
        "filter": {
            "bool": {
                "should": [
                    {"term": {"address.postalCode": "110016"}},
                    {"geo_distance": {
                            "distance": "50km",
                            "geo_cords": [-122.3050, 37.9174]
                        }
                    }
                ],
            }
        }
    }

    Business.search(query, function (err, results) {
        // sendResponse(req, res, err, results)
        if (!err) {
            res.json(results);
        } else {
            res.status(400).send({message: 'Business Not Found'})
        }
    });

在执行此操作时，我收到一个很长的错误提示

QueryParsingException[[businessess] failed to find geo_point field [geo_cords]

【问题讨论】：

标签： elasticsearch mongoose mongoosastic

【解决方案1】：

根据mongoosastic的文档

地理地图

在索引任何地理映射数据（或调用同步）之前，必须使用 createMapping 手动创建映射（见上文）。

首先，在您的架构中，以这种方式定义“geo_cords”：

geo_cords: : {
      geo_point: {
        type: String,
        es_type: 'geo_point',
        es_lat_lon: true
      },
      lat: { type: Number },
      lon: { type: Number }
    }

为每个数组或嵌入类型添加一个 es_type: 'object'

alias: {type: Array, es_indexed: true, es_type: 'object'}

然后在您创建模型之后调用 .createMapping()。

【讨论】：