如何在 Azure 搜索中匹配此查询
How to match this query in Azure Search
我有这个索引
{
"name": "testentities",
"fields": [
{
"name": "id",
"type": "Edm.String",
"key": true,
"retrievable": true,
"filterable": true,
"sortable": true
},
{
"name": "entity_id",
"type": "Edm.String",
"searchable": true,
"sortable": true,
"facetable": false,
"retrievable": true,
"filterable": true,
"searchAnalyzer":"standard",
"indexAnalyzer": "custom_analyzer"
},
{
"name": "description",
"type": "Edm.String",
"searchable": true,
"sortable": false,
"facetable": false,
"retrievable": true,
"filterable": true
},
{
"name": "name",
"type": "Edm.String",
"searchable": true,
"sortable": true,
"facetable": false,
"retrievable": true,
"filterable": true
},
{
"name": "entity_type",
"type": "Edm.String",
"searchable": true,
"sortable": true,
"facetable": true,
"retrievable": true,
"filterable": true
},
{
"name": "ancestors",
"type": "Collection(Edm.String)",
"searchable": false,
"sortable": false,
"facetable": false,
"retrievable": true,
"filterable": true
},
{
"name": "calendar_id",
"type": "Edm.String",
"searchable": false,
"sortable": false,
"facetable": false,
"retrievable": false,
"filterable": false
},
{
"name": "currency",
"type": "Edm.String",
"searchable": false,
"sortable": false,
"facetable": false,
"retrievable": false,
"filterable": false
},
{
"name": "timezone",
"type": "Edm.String",
"searchable": false,
"sortable": false,
"facetable": false,
"retrievable": false,
"filterable": false
},
{
"name": "active",
"type": "Edm.Boolean",
"retrievable": true,
"facetable": true,
"filterable": true
},
{
"name": "kpi_collection",
"type": "Edm.String",
"searchable": false,
"sortable": false,
"facetable": false,
"retrievable": false,
"filterable": false
},
{
"name": "rid",
"type": "Edm.String"
}
],
"scoringProfiles": [
{
"name": "boostEntity",
"text": {
"weights": {
"entity_id": 9,
"name": 8,
"description": 1
}
}
}
],
"analyzers": [
{
"name": "custom_analyzer",
"@odata.type": "#Microsoft.Azure.Search.CustomAnalyzer",
"tokenizer":"token1",
"tokenFilters": [
"lowercase",
"entityID_stopWords",
"entityID_edgeNGram"
]
}
],
"tokenizers":[
{
"name":"token1",
"@odata.type":"#Microsoft.Azure.Search.StandardTokenizerV2"
}
],
"tokenFilters": [
{
"name": "entityID_edgeNGram",
"@odata.type": "#Microsoft.Azure.Search.EdgeNGramTokenFilterV2",
"minGram": 1,
"maxGram": 6
},
{
"name": "entityID_stopWords",
"@odata.type": "#Microsoft.Azure.Search.StopwordsTokenFilter",
"stopwords": [
"store",
"region",
"zone",
"field_org",
":"
]
}
]
}
如果我执行这个查询：
{
"search": "0001",
"filter": "entity_type eq 'store' ",
"select":"name,entity_id,entity_type,description,active,ancestors",
"count": "true"
}
我得到这个结果，这是正确的，因为它与实体 ID 之后得分最高的名称相匹配。
"@odata.count": 1,
"value": [
{
"@search.score": 1.6654625,
"name": "LensCrafters 0001",
"entity_id": "store:1",
"entity_type": "store",
"description": "2130 Mall Road, Florence, 41042, KY, US",
"active": true,
"ancestors": [
"region:1021",
"zone:1123",
"field_org:lenscrafters_na",
"ROOT"
]
}
]
}
但是如果我运行这个查询
{
"search": "1",
"filter": "entity_type eq 'store' ",
"select":"name,entity_id,entity_type,description,active,ancestors",
"count": "true"
}
我得到的结果不正确
{
"@search.score": 1.4522386,
"name": "LensCrafters 1622",
"entity_id": "store:1622",
"entity_type": "store",
"description": "31625 Pacific Hwy S, Spc #E-1, Federal Way, 98003-5645, WA, US",
"active": true,
"ancestors": [
"region:1024",
"zone:1107",
"field_org:lenscrafters_na",
"ROOT"
]
},
{
"@search.score": 1.3403159,
"name": "LensCrafters 1178",
"entity_id": "store:1178",
"entity_type": "store",
"description": "1 W FlatIron Crossing Dr #1104, Broomfield, 80021-8881, CO, US",
"active": true,
"ancestors": [
"region:1019",
"zone:1122",
"field_org:lenscrafters_na",
"ROOT"
]
},
{
...............
尽管内部评分配置文件 entity_is 的值为 9，但为什么结果不是这个？
"@odata.count": 1,
"value": [
{
"@search.score": 1.6654625,
"name": "LensCrafters 0001",
"entity_id": "store:1",
"entity_type": "store",
"description": "2130 Mall Road, Florence, 41042, KY, US",
"active": true,
"ancestors": [
"region:1021",
"zone:1123",
"field_org:lenscrafters_na",
"ROOT"
]
}
]
}
这是得分概况？
"scoringProfiles": [
{
"name": "boostEntity",
"text": {
"weights": {
"entity_id": 9,
"name": 8,
"description": 1
}
},
"functions": [],
"functionAggregation": null
}
],.............
您正在 entity_id 字段上使用自定义分析器，它为文本 store:1178 生成以下标记：1, 11, 117, 1178（您可以使用 [=12= 测试您的分析器配置]).这意味着，文档 LensCrafters 1622 和 LensCrafters 1178 匹配查询以及文档 LensCrafters 0001 - 他们在 entity_id 中都有 1。然而，文档 LensCrafters 1622 和 LensCrafters 1178 在描述中也匹配 1。因此，他们的得分高于 LensCrafters 0001。
要详细了解 Azure 搜索中的查询处理和自定义分析器，请阅读：How full text search works in Azure Search。
你想在你的分析链中保留 edgeNGram 标记过滤器吗？为什么？
我有这个索引
{
"name": "testentities",
"fields": [
{
"name": "id",
"type": "Edm.String",
"key": true,
"retrievable": true,
"filterable": true,
"sortable": true
},
{
"name": "entity_id",
"type": "Edm.String",
"searchable": true,
"sortable": true,
"facetable": false,
"retrievable": true,
"filterable": true,
"searchAnalyzer":"standard",
"indexAnalyzer": "custom_analyzer"
},
{
"name": "description",
"type": "Edm.String",
"searchable": true,
"sortable": false,
"facetable": false,
"retrievable": true,
"filterable": true
},
{
"name": "name",
"type": "Edm.String",
"searchable": true,
"sortable": true,
"facetable": false,
"retrievable": true,
"filterable": true
},
{
"name": "entity_type",
"type": "Edm.String",
"searchable": true,
"sortable": true,
"facetable": true,
"retrievable": true,
"filterable": true
},
{
"name": "ancestors",
"type": "Collection(Edm.String)",
"searchable": false,
"sortable": false,
"facetable": false,
"retrievable": true,
"filterable": true
},
{
"name": "calendar_id",
"type": "Edm.String",
"searchable": false,
"sortable": false,
"facetable": false,
"retrievable": false,
"filterable": false
},
{
"name": "currency",
"type": "Edm.String",
"searchable": false,
"sortable": false,
"facetable": false,
"retrievable": false,
"filterable": false
},
{
"name": "timezone",
"type": "Edm.String",
"searchable": false,
"sortable": false,
"facetable": false,
"retrievable": false,
"filterable": false
},
{
"name": "active",
"type": "Edm.Boolean",
"retrievable": true,
"facetable": true,
"filterable": true
},
{
"name": "kpi_collection",
"type": "Edm.String",
"searchable": false,
"sortable": false,
"facetable": false,
"retrievable": false,
"filterable": false
},
{
"name": "rid",
"type": "Edm.String"
}
],
"scoringProfiles": [
{
"name": "boostEntity",
"text": {
"weights": {
"entity_id": 9,
"name": 8,
"description": 1
}
}
}
],
"analyzers": [
{
"name": "custom_analyzer",
"@odata.type": "#Microsoft.Azure.Search.CustomAnalyzer",
"tokenizer":"token1",
"tokenFilters": [
"lowercase",
"entityID_stopWords",
"entityID_edgeNGram"
]
}
],
"tokenizers":[
{
"name":"token1",
"@odata.type":"#Microsoft.Azure.Search.StandardTokenizerV2"
}
],
"tokenFilters": [
{
"name": "entityID_edgeNGram",
"@odata.type": "#Microsoft.Azure.Search.EdgeNGramTokenFilterV2",
"minGram": 1,
"maxGram": 6
},
{
"name": "entityID_stopWords",
"@odata.type": "#Microsoft.Azure.Search.StopwordsTokenFilter",
"stopwords": [
"store",
"region",
"zone",
"field_org",
":"
]
}
]
}
如果我执行这个查询：
{ "search": "0001", "filter": "entity_type eq 'store' ", "select":"name,entity_id,entity_type,description,active,ancestors", "count": "true"
}
我得到这个结果，这是正确的，因为它与实体 ID 之后得分最高的名称相匹配。
"@odata.count": 1,
"value": [
{
"@search.score": 1.6654625,
"name": "LensCrafters 0001",
"entity_id": "store:1",
"entity_type": "store",
"description": "2130 Mall Road, Florence, 41042, KY, US",
"active": true,
"ancestors": [
"region:1021",
"zone:1123",
"field_org:lenscrafters_na",
"ROOT"
]
}
]
}
但是如果我运行这个查询
{
"search": "1",
"filter": "entity_type eq 'store' ",
"select":"name,entity_id,entity_type,description,active,ancestors",
"count": "true"
}
我得到的结果不正确
{
"@search.score": 1.4522386,
"name": "LensCrafters 1622",
"entity_id": "store:1622",
"entity_type": "store",
"description": "31625 Pacific Hwy S, Spc #E-1, Federal Way, 98003-5645, WA, US",
"active": true,
"ancestors": [
"region:1024",
"zone:1107",
"field_org:lenscrafters_na",
"ROOT"
]
},
{
"@search.score": 1.3403159,
"name": "LensCrafters 1178",
"entity_id": "store:1178",
"entity_type": "store",
"description": "1 W FlatIron Crossing Dr #1104, Broomfield, 80021-8881, CO, US",
"active": true,
"ancestors": [
"region:1019",
"zone:1122",
"field_org:lenscrafters_na",
"ROOT"
]
},
{
...............
尽管内部评分配置文件 entity_is 的值为 9，但为什么结果不是这个？
"@odata.count": 1,
"value": [
{
"@search.score": 1.6654625,
"name": "LensCrafters 0001",
"entity_id": "store:1",
"entity_type": "store",
"description": "2130 Mall Road, Florence, 41042, KY, US",
"active": true,
"ancestors": [
"region:1021",
"zone:1123",
"field_org:lenscrafters_na",
"ROOT"
]
}
]
}
这是得分概况？
"scoringProfiles": [
{
"name": "boostEntity",
"text": {
"weights": {
"entity_id": 9,
"name": 8,
"description": 1
}
},
"functions": [],
"functionAggregation": null
}
],.............
您正在 entity_id 字段上使用自定义分析器，它为文本 store:1178 生成以下标记：1, 11, 117, 1178（您可以使用 [=12= 测试您的分析器配置]).这意味着，文档 LensCrafters 1622 和 LensCrafters 1178 匹配查询以及文档 LensCrafters 0001 - 他们在 entity_id 中都有 1。然而，文档 LensCrafters 1622 和 LensCrafters 1178 在描述中也匹配 1。因此，他们的得分高于 LensCrafters 0001。
要详细了解 Azure 搜索中的查询处理和自定义分析器，请阅读：How full text search works in Azure Search。
你想在你的分析链中保留 edgeNGram 标记过滤器吗？为什么？