我正在編寫一個 Flask 應用程序，并且正在使用彈性搜索。這里是：search.pyfrom flask import current_appdef query_object(index, fields, query, page, per_page, fuzziness=0): search = current_app.elasticsearch.search( index=index, body={'query': {'multi_match': {'query': str(query), 'fields': fields, 'fuzziness': fuzziness, 'lenient': True}}, 'from': (page - 1) * per_page, 'size': per_page} ) ids = [int(hit['_id']) for hit in search['hits']['hits']] return ids, search['hits']['total']['value']以下模型已編制索引：class WishList(db.Model, SearchableMixin): __searchable__ = ['first_name', 'gender', 'wants', 'needs', 'wear', 'read', 'shoe_size_category', 'shoe_type', 'sheet_size', 'additional_comments', 'time_chosen', 'age', 'shoe_sock_size', 'program_number'] id = db.Column(db.Integer, primary_key=True) program_number = db.Column(db.String(4)) first_name = db.Column(db.String(20)) age = db.Column(db.String(10)) gender = db.Column(db.String(20)) wants = db.Column(db.String(300)) needs = db.Column(db.String(300)) wear = db.Column(db.String(300)) read = db.Column(db.String(300)) pant_dress_size = db.Column(db.String(20), default='unspecified') shirt_blouse_size = db.Column(db.String(20), default='unspecified') jacket_sweater_size = db.Column(db.String(20), default='unspecified') shoe_sock_size = db.Column(db.String(20), default='unspecified') shoe_size_category = db.Column(db.String(20), default='unspecified')當我當前搜索它時，所有字段都是可搜索的，并返回有效的結果，除非我使用數字值進行搜索。
1 回答
胡說叔叔
TA貢獻1804條經驗 獲得超8個贊
由于在數據類型上使用參數，然后使用true使其工作，如此鏈接中所述，因此發生了此問題。fuzzinessnumericlenientremoves format-based errors, such as providing a text query value for a numeric field, are ignored.
下面是您在嘗試在數值數據類型上使用時遇到的錯誤。fuzziness
原因“：”只能對關鍵字和文本字段使用模糊查詢 - 不能對類型為 [整數] 的 [age] 使用模糊查詢”
當您添加 時，上述錯誤會消失，但不會返回任何文檔。"lenient" : true
要使其正常工作，只需從搜索查詢中刪除和參數，它就可以工作，因為 Elasticsearch 會自動將有效轉換為有效值，反之亦然，如強制文章中所述。fuzzinesslenientstringnumeric
使用 REST API 顯示它的工作示例
指數定義
{
"mappings": {
"properties": {
"age" :{
"type" : "integer"
}
}
}
}
索引示例文檔
{
"age" : "25" --> note use of `""`, sending it as string
}
{
"age" : 28 :- note sending numneric value
}
字符串格式的搜索查詢
{
"query": {
"bool": {
"must": [
{
"multi_match": {
"query": "28", --> note string format
"fields": [
"age" --> note you can add more fields
]
}
}
]
}
}
}
搜索結果
"hits": [
{
"_index": "so_numberic",
"_type": "_doc",
"_id": "1",
"_score": 1.0,
"_source": {
"program_number": "123456789",
"age": "28"
}
}
]
數字格式的搜索查詢
{
"query": {
"match" : { --> query on single field.
"age" : {
"query" : 28 --> note numeric format
}
}
}
}
結果
"hits": [
{
"_index": "so_numberic",
"_type": "_doc",
"_id": "1",
"_score": 1.0,
"_source": {
"program_number": "123456789",
"age": "28"
}
}
]
如前所述，顯示您的 和 不會帶來任何結果。fuzzinesslenient
搜索查詢
{
"query": {
"match": {
"age": {
"query": 28,
"fuzziness": 2,
"lenient": true
}
}
}
}
結果
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": { --> note 0 results.
"total": {
"value": 0,
"relation": "eq"
},
"max_score": null,
"hits": []
}
}
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