我在elasticsearch中编写了以下Lucene查询，以获取带有Id字段的文档，如上所述：
GET requirements_v3/_search { "from": 0, "size": 10, "query": { "bool": { "filter": { "bool": { "should": [ {"match": { "Id": "b8bf49a4-960b-4fa8-8c5f-a3fce4b4d07b" }}, { "match": { "Id": "048b7907-2b5a-438a-ace9-f1e1fd67ca69" } }, { "match": { "Id": "3b385896-1207-4f6d-8ae9-f3ced84cf1fa" } }, { "match": { "Id": "0aa1db52-c0fb-4bf6-9223-00edccc32703" } }, { "match": { "Id": "8c399993-f273-4ee0-a1ab-3a85c6848113" } }, { "match": { "Id": "4461eb37-487e-4899-a7be-914640fab0e0" } }, { "match": { "Id": "07052261-b904-4bfc-a6fd-3acd28114c6a" } }, { "match": { "Id": "95816ff0-9eae-4196-99fc-86c6f43395fd" } }, { "match": { "Id": "ea8a59a6-2b2f-467a-9beb-e281b1581a0a" } }, { "match": { "Id": "33f87d98-024f-4893-aa1c-8d438a98cd1f" } } ] } } } }
以上查询的响应为：
{ "took": 14, "timed_out": false, "_shards": { "total": 5, "successful": 5, "skipped": 0, "failed": 0 }, "hits": { "total": 18, "max_score": 0, "hits": [ { "_index": "requirements_v3", "_type": "_doc", "_id": "9d8060da-c3e2-4f6d-b4e2-17e65b266c76", "_score": 0, "_source": { "Id": "9d8060da-c3e2-4f6d-b4e2-17e65b266c76", "Name": "Create Extended/Limited Warranty Configuration" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "4461eb37-487e-4899-a7be-914640fab0e0", "_score": 0, "_source": { "Id": "4461eb37-487e-4899-a7be-914640fab0e0", "Name": "Create Extended/Limited Warranty Configuration" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "33f87d98-024f-4893-aa1c-8d438a98cd1f", "_score": 0, "_source": { "Id": "33f87d98-024f-4893-aa1c-8d438a98cd1f", "Name": "Create Configurator" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "d75d9a7c-e145-487e-922f-102c16d0026f", "_score": 0, "_source": { "Id": "d75d9a7c-e145-487e-922f-102c16d0026f", "Name": "Create Configurator" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "007eadb7-adda-487e-b7fe-6f6b5648de2e", "_score": 0, "_source": { "Id": "007eadb7-adda-487e-b7fe-6f6b5648de2e", "Name": "Detail Page - Build" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "95816ff0-9eae-4196-99fc-86c6f43395fd", "_score": 0, "_source": { "Id": "95816ff0-9eae-4196-99fc-86c6f43395fd", "Name": "Create Extended/Limited Warranty Configuration" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "07052261-b904-4bfc-a6fd-3acd28114c6a", "_score": 0, "_source": { "Id": "07052261-b904-4bfc-a6fd-3acd28114c6a", "Name": "HUC" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "d60daf3a-4681-4bfc-a3a9-b04b5b005f73", "_score": 0, "_source": { "Id": "d60daf3a-4681-4bfc-a3a9-b04b5b005f73", "Name": "DAMS UpsertUnenrollPrice" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "c1b367f2-a57a-487e-994c-84470e0f9db4", "_score": 0, "_source": { "Id": "c1b367f2-a57a-487e-994c-84470e0f9db4", "Name": "Item Setup" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "b8bf49a4-960b-4fa8-8c5f-a3fce4b4d07b", "_score": 0, "_source": { "Id": "b8bf49a4-960b-4fa8-8c5f-a3fce4b4d07b", "Name": "Installments" } } ] } }
这将totalHits称为“ 18”。为什么返回的项目多于10？我认为匹配查询应用于“完全匹配”，为什么还要在此处返回更多文档？
PS：我知道可以对此使用Ids查询，但是我想知道为什么它没有返回正确的响应
更新：将大小设置为20将返回以下响应：
{ "took": 195, "timed_out": false, "_shards": { "total": 5, "successful": 5, "skipped": 0, "failed": 0 }, "hits": { "total": 18, "max_score": 0, "hits": [ { "_index": "requirements_v3", "_type": "_doc", "_id": "9d8060da-c3e2-4f6d-b4e2-17e65b266c76", "_score": 0, "_source": { "Id": "9d8060da-c3e2-4f6d-b4e2-17e65b266c76", "Name": "Create Extended/Limited Warranty Configuration" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "4461eb37-487e-4899-a7be-914640fab0e0", "_score": 0, "_source": { "Id": "4461eb37-487e-4899-a7be-914640fab0e0", "Name": "Create Extended/Limited Warranty Configuration" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "33f87d98-024f-4893-aa1c-8d438a98cd1f", "_score": 0, "_source": { "Id": "33f87d98-024f-4893-aa1c-8d438a98cd1f", "Name": "Create Configurator" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "d75d9a7c-e145-487e-922f-102c16d0026f", "_score": 0, "_source": { "Id": "d75d9a7c-e145-487e-922f-102c16d0026f", "Name": "Create Configurator" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "007eadb7-adda-487e-b7fe-6f6b5648de2e", "_score": 0, "_source": { "Id": "007eadb7-adda-487e-b7fe-6f6b5648de2e", "Name": "Detail Page - Build" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "95816ff0-9eae-4196-99fc-86c6f43395fd", "_score": 0, "_source": { "Id": "95816ff0-9eae-4196-99fc-86c6f43395fd", "Name": "Create Extended/Limited Warranty Configuration" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "07052261-b904-4bfc-a6fd-3acd28114c6a", "_score": 0, "_source": { "Id": "07052261-b904-4bfc-a6fd-3acd28114c6a", "Name": "HUC" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "d60daf3a-4681-4bfc-a3a9-b04b5b005f73", "_score": 0, "_source": { "Id": "d60daf3a-4681-4bfc-a3a9-b04b5b005f73", "Name": "DAMS UpsertUnenrollPrice" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "c1b367f2-a57a-487e-994c-84470e0f9db4", "_score": 0, "_source": { "Id": "c1b367f2-a57a-487e-994c-84470e0f9db4", "Name": "Item Setup" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "b8bf49a4-960b-4fa8-8c5f-a3fce4b4d07b", "_score": 0, "_source": { "Id": "b8bf49a4-960b-4fa8-8c5f-a3fce4b4d07b", "Name": "Installments" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "b9437079-47c4-487e-abf0-1ff076f69e0f", "_score": 0, "_source": { "Id": "b9437079-47c4-487e-abf0-1ff076f69e0f", "Name": "Detail Page - Strings " } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "0aa1db52-c0fb-4bf6-9223-00edccc32703", "_score": 0, "_source": { "Id": "0aa1db52-c0fb-4bf6-9223-00edccc32703", "Name": "Create Extended/Limited Warranty Configuration" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "ea8a59a6-2b2f-467a-9beb-e281b1581a0a", "_score": 0, "_source": { "Id": "ea8a59a6-2b2f-467a-9beb-e281b1581a0a", "Name": "Create Configurator" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "fd259359-4f6d-4530-ac29-fcebe00d66a6", "_score": 0, "_source": { "Id": "fd259359-4f6d-4530-ac29-fcebe00d66a6", "Name": "Invite Platform" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "1b2ba0bb-3e7f-46fb-b904-07460b84848b", "_score": 0, "_source": { "Id": "1b2ba0bb-3e7f-46fb-b904-07460b84848b", "Name": "Training" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "8c399993-f273-4ee0-a1ab-3a85c6848113", "_score": 0, "_source": { "Id": "8c399993-f273-4ee0-a1ab-3a85c6848113", "Name": "Configure ASIN for Reporting" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "3b385896-1207-4f6d-8ae9-f3ced84cf1fa", "_score": 0, "_source": { "Id": "3b385896-1207-4f6d-8ae9-f3ced84cf1fa", "Name": "Create Extended/Limited Warranty Configuration" } }, { "_index": "requirements_v3", "_type": "_doc", "_id": "048b7907-2b5a-438a-ace9-f1e1fd67ca69", "_score": 0, "_source": { "Id": "048b7907-2b5a-438a-ace9-f1e1fd67ca69", "Name": "Invite Platform" } } ] } }
让我们通过以下映射来了解这一点，例如：
{ "_doc": { "properties": { "Id": { "type": "text", "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } }, "Name": { "type": "text", "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } } } } }
上面的映射是由elasticsearch动态创建的。现在让我们专注于Id领域。其类型为text。默认情况下，analyzerfor text数据类型为standardAnalyzer。当将此分析器应用于此字段的输入时，它将被标记为术语。因此，例如，如果您输入的值Id是，则会33f87d98-024f-4893-aa1c-8d438a98cd1f生成以下令牌：
Id
text
analyzer
standard
33f87d98-024f-4893-aa1c-8d438a98cd1f
33f87d98 024f 4893 aa1c 8d438a98cd1f
如您所见，输入值-被用作定界符进行拆分。这是因为在其上应用了标准分析仪。
-
还有另外一个子场下，Id这是keyword和它的类型keyword。对于类型keyword，输入将按原样编制索引，而无需进行任何修改。
keyword
现在让我们了解为什么要匹配更多文档并且结果计数超出预期。在查询中，您match对Id字段使用了查询，如下所示：
match
{ "match": { "Id": "b8bf49a4-960b-4fa8-8c5f-a3fce4b4d07b" } }
默认情况下，匹配查询使用与映射中的字段相同的分析器。因此，Id再次对查询中的值应用相同的分析器，并且以与上述类似的方式将输入拆分为令牌。在匹配查询输入字符串的标记之间应用的默认运算符为OR，因此您的查询实际上变为：
b8bf49a4 OR 960b OR 4fa8 OR 8c5f OR a3fce4b4d07b
如果上述任何标记与Id字段中存储的任何索引词匹配，则该文档被视为匹配。
基于以上映射的以上解决方案：
请改用关键字字段。因此查询变为：
{ "match": { "Id.keyword": "b8bf49a4-960b-4fa8-8c5f-a3fce4b4d07b" } }
有关匹配如何工作的更多信息，请参见此处。
也正如@Curious_MInd在他的回答中提到的那样，使用它terms比使用matchin 更好should。
terms
should
