elasticsearch 自动完成建议在多个字段和多个字段上完成
问题描述 投票：0回答：1
所以我们有2个案例：
主页上的单个搜索输入
具有多个输入字段的订单
总结一下：
- 在我们的网站上，用户搜索公司，选择一家公司，然后订购。
- 我们想在主页上创建一个全局搜索字段。我们有一个订单表格，其中有 4 个输入字段；公司名称、公司编号、公司地址（最常见的街道）、公司所在城市。
- 城市、法律形式和联邦州的聚合，用户可以将其用作过滤器
- 总体思路是：用户登陆主页或订购表单页面，执行搜索、过滤，然后找到公司，单击公司结果 -> 这会在订购表单中加载公司详细信息，以便用户可以订购。
问题：
- 我很困惑自动完成功能如何在单个全局搜索字段和具有 4（或 5）个字段的订购表单上工作
- 您可以帮助我们提供可用于我们场景的示例查询吗？
我们做过的事情：
- 将字段复制到通用字段，以便我们可以查询单个字段（例如街道、邮政编码、城市合并到 1 个 full_address 字段中）
- 为德国街道名称和语音创建了一个自定义分析器
咨询事项：主页搜索
- 单个搜索字段应搜索 all_names、all_address、company_number、all_offices（= 所有城市）并返回最高相关性
- 最高相关性可以通过调整查询中的“权重”和“提升”来部分实现
- 但是，当用户在 1 个搜索字段中输入不同的术语（例如名称 + 邮政编码 + 城市）时，我不明白“按输入搜索”完成功能如何工作
- 自动完成功能仅适用于前 3 个字母吗？请解释一下。
建议事项：订单搜索
- 订单有4个字段；公司名称、公司编号、地址、城市
- 理想情况下，当用户输入时，他应该在他输入的字段上获得自动补全功能
- 这很简单；名称字段 = 名称建议等
- 当填写多个字段时，自动补全是否应该只是匹配所有输入字段的建议？就像公司名称的一部分已填写，那么地址自动完成仅来自匹配的公司名称？我们应该想要这个吗？
- 我们是否应该在订购表单中添加像主页上那样的第五个全局搜索字段？
示例分析器和映射：
{
"settings": {
"index": {
"number_of_shards": 1,
"number_of_replicas": 0
},
"analysis": {
"filter": {
"german_stop": {
"type": "stop",
"stopwords": "_german_"
},
"german_stemmer": {
"type": "stemmer",
"language": "light_german"
},
"snowball": {
"type": "snowball",
"language": "German2"
},
"german_phonetic": {
"type": "phonetic",
"encoder": "koelnerphonetik",
"replace": false
},
"address_synonyms": {
"type": "synonym",
"synonyms": [ "str, strasse, straße => strass" ]
}
},
"analyzer": {
"names_analyzer": {
"type": "custom",
"tokenizer": "standard",
"char_filter": [
"html_strip"
],
"filter": [
"lowercase",
"word_delimiter",
"german_normalization",
"german_phonetic",
"asciifolding",
"apostrophe"
]
},
"address_analyzer": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase",
"german_normalization",
"german_stop",
"snowball",
"german_stemmer",
"address_synonyms",
"german_phonetic",
"asciifolding",
"apostrophe",
"word_delimiter"
]
},
"keyword_analyzer": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase",
"german_normalization",
"asciifolding"
]
}
}
}
},
"mappings": {
"properties": {
"all_names":{
"type":"text",
"analyzer": "names_analyzer",
"fields":{
"search-as-you-type":{
"type":"search_as_you_type"
}
}
},
"name":{
"type":"text",
"analyzer": "names_analyzer",
"copy_to": "all_names"
},
"alt_names":{
"type":"nested",
"include_in_root": true,
"properties":{
"name": {
"type": "text",
"analyzer": "names_analyzer",
"copy_to": "all_names" },
"office":{
"type": "keyword",
"copy_to": "all_offices",
"fields":{
"text":{
"type":"text"
},
"keyword_analyzed":{
"type":"text",
"analyzer":"keyword_analyzer"
}
}
}
}
},
"branches":{
"type":"nested",
"include_in_root": true,
"properties":{
"name": {
"type": "text",
"analyzer": "names_analyzer",
"copy_to": "all_names"
},
"office":{
"type": "keyword",
"copy_to": "all_offices",
"fields":{
"text":{
"type":"text"
},
"keyword_analyzed":{
"type":"text",
"analyzer":"keyword_analyzer"
}
}
}
}
},
"full_address":{
"type":"text",
"analyzer": "address_analyzer",
"fields":{
"search-as-you-type":{
"type":"search_as_you_type"
}
}
},
"all_address":{
"type":"text",
"analyzer": "address_analyzer",
"fields":{
"search-as-you-type":{
"type":"search_as_you_type"
}
}
},
"street":{
"type":"text",
"analyzer": "address_analyzer",
"copy_to": "all_address",
"fields":{
"search-as-you-type":{
"type":"search_as_you_type"
}
}
},
"zipcode":{
"type":"keyword",
"copy_to": "all_address",
"fields":{
"search-as-you-type":{
"type":"search_as_you_type"
},
"text": {
"type":"text"
}
}
},
"city":{
"type":"keyword",
"copy_to": [ "all_offices", "all_address" ],
"fields":{
"search-as-you-type":{
"type":"search_as_you_type"
},
"text":{
"type":"text",
"analyzer": "address_analyzer"
}
}
},
"legal_form":{
"type":"keyword",
"fields":{
"search-as-you-type":{
"type":"search_as_you_type"
},
"text":{
"type":"text"
}
}
},
"all_offices":{
"type":"keyword",
"fields":{
"search-as-you-type":{
"type":"search_as_you_type"
},
"text":{
"type":"text"
}
}
},
"office":{
"type":"keyword",
"copy_to": "all_offices"
},
"registrar":{
"type":"keyword",
"copy_to": "all_offices"
},
"former_registrar":{
"type":"keyword",
"copy_to": "all_offices"
},
"state":{
"type":"keyword",
"fields":{
"text":{
"type":"text"
}
}
},
"company_number":{
"type":"keyword",
"fields":{
"search-as-you-type":{
"type":"search_as_you_type"
},
"text":{
"type":"text"
}
}
},
"status":{
"type":"keyword",
"fields":{
"text":{
"type":"text"
}
}
}
}
}
}
全局搜索查询示例：
{
"query": {
"bool": {
"should": [
{
"multi_match": {
"query": "Hans-Sachs-Straße",
"fuzziness": "AUTO",
"minimum_should_match": "60%"
}
}
],
"filter": [
{ "term": { "state": "" }},
{ "term": { "all_offices": "" }}
]
}
},
"highlight": {
"fields": {
"name": {},
"full_address": {},
"office": {},
"company_number": {},
"registrar": {},
"native_company_number": {}
}
},
"aggs": {
"states": {
"terms": { "field": "state" }
},
"city": {
"terms": { "field": "all_offices" }
}
}
}
订单查询示例：
{
"query": {
"bool": {
"should": [
{
"multi_match": {
"query": "str",
"minimum_should_match": "60%",
"boost": 2,
"fields": [
"full_address.search-as-you-type",
"full_address.search-as-you-type._2gram",
"full_address.search-as-you-type._3gram"
]
}
},
{
"multi_match": {
"query": "HR",
"minimum_should_match": "60%",
"boost": 5,
"fields": [
"company_number.search-as-you-type",
"company_number.search-as-you-type._2gram",
"company_number.search-as-you-type._3gram"
]
}
},
{
"multi_match": {
"query": "DK",
"minimum_should_match": "60%",
"boost": 5,
"fields": [
"all_names.search-as-you-type",
"all_names.search-as-you-type._2gram",
"all_names.search-as-you-type._3gram"
]
}
},
{
"multi_match": {
"query": "Dus",
"minimum_should_match": "60%",
"boost": 3,
"fields": [
"all_offices.search-as-you-type",
"all_offices.search-as-you-type._2gram",
"all_offices.search-as-you-type._3gram"
]
}
}
]
},
"filter": [
{ "term": { "state": "" }},
{ "term": { "all_offices": "" }}
]
},
"highlight": {
"fields": {
"name": {},
"full_address": {},
"office": {},
"company_number": {},
"registrar": {},
"native_company_number": {}
}
},
"aggs": {
"states": {
"terms": { "field": "state" }
},
"city": {
"terms": { "field": "all_offices" }
}
}
}
1个回答
0
投票
投票
这就是自动完成功能如何适用于具有不同
fields我在这些字段上也启用了
analyzerssearch_analyzersn-gram tokenziers_settingsPUT /yourIndexName
{
"settings": {
"index.number_of_replicas": 0,
"index.max_ngram_diff": 15,
"index.default_pipeline": "your_pipeline - if any else remove this",
"analysis": {
"analyzer": {
"autocomplete": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase",
"autocomplete_filter"
]
},
"standardTokenizer": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase"
]
}
},
"filter": {
"autocomplete_filter": {
"type": "ngram",
"min_gram": 2,
"max_gram": 15
}
}
}
}
}
_mappingsPUT /yourIndexName/_mapping
{
"properties": {
"yourFieldName0": { //or yourObject.yourFieldName
"type": "text",
"analyzer": "autocomplete",
"search_analyzer": "standard",
"fields": {
"suggest": {
"type": "search_as_you_type"
},
"keyword": {
"type": "keyword"
}
}
},
"yourFieldName1": { //this is a simple string
"type": "text",
"analyzer": "autocomplete",
"search_analyzer": "standard",
"fields": {
"suggest": {
"type": "search_as_you_type"
}
}
},
"yourFieldName2": { //this is an array of strings.
"type": "text",
"analyzer": "standardTokenizer",
"search_analyzer": "standard",
"fields": {
"suggest": {
"type": "search_as_you_type"
}
}
},
"locations": {
"type": "geo_point"
},
"yourFieldName3": { //array of strings. it is used for facets.
"type": "text",
"fields": {
"keyword": {
"type": "keyword"
}
}
}
}
}
将数据插入索引后。现在，让我们介绍一下
search-uiconst config = {
searchQuery: {
search_fields: {
"yourFieldName0.suggest": { weight: 3, snippet: { size: 50, fallback: false }},
"yourFieldName1.suggest": {snippet: { size: 50, fallback: false }},
"yourFieldName2.suggest": {snippet: { size: 50, fallback: false }}
},
result_fields: {
resultsPerPage: 5,
_id: {}, name: {}, yourFieldName0: { snippet: { size: 50, fallback: false } }
},
disjunctiveFacets: ["yourFieldName0.suggest"],
facets: {
"yourFieldName0.keyword": { type: "value" },
"yourFieldName3.keyword": { type: "value" },
locations: {
center: "42.0001, -73.0005",
type: "range",
unit: "km",
ranges: [
{ from: 0, to: 5, name: "With in 5 Km" },
{ from: 0, to: 20, name: "With in 20 Km" },
{ from: 0, to: 150, name: "With in 150 Km" },
],
}
}
},
autocompleteQuery: {
results: { //this is how you can enable autocomplete on multiple fields.
search_fields: {
"yourFieldName0.suggest": { weight: 3, snippet: { size: 50, fallback: false } },
"yourFieldName0": { weight: 3, snippet: { size: 50, fallback: false } },
"yourFieldName1.suggest": {snippet: { size: 50, fallback: false }},
"yourFieldName1": {snippet: { size: 50, fallback: false }},
},
result_fields: {
_id: {}, yourFieldName0: { snippet: { size: 50, fallback: false } }
}
}
},
apiConnector: connector,
alwaysSearchOnInitialLoad: true,
initialState: {
resultsPerPage: 10,
sortList: [ { field: "_score", direction:"desc" }, { field: "yourFieldName0", direction:"asc" } ]
}
};
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