Nest/ElasticSearch 按 _uid 排序

Question

我正在尝试根据查询拉回记录并使用_uid 字段对它们进行排序。在我的情况下，_uid 是 Type 后跟 # 后跟我设置的 id。我的索引充满了代码文件，_uid 的示例是myType#MyDocuments/File.txt

所以我正在对_uid 升序进行排序。大多数情况下，它会按顺序对类型进行排序，但在类型中，它只会按照最上面的目录正确排序。

所以我会看到类似的东西

Accounting/AP_ABC.asp
Accounting/AR_ABC.asp
Accounting/Account.asp

这是不对的，因为 Account 应该在 AP 和 AR 之前。

有没有办法确保正确排序？

编辑 从我的索引添加映射

"dotnet":{"properties":{"fileContents":{"type":"string"},"filePath":{"type":"string"},"lastUpdate":{"type":"date","format":"dateOptionalTime"},"type":{"type":"string"}}}

Answer 1

创建一个新的 not_analyzed 字段，例如 sortid，它将保存您的 id 的未分析值（Accounting/Account.asp）。 This 文章将详细解释您为什么要这样做。

更新：

尝试申请case-insensitive sorting。 稍后我将用一个工作示例更新我的答案。

更新2

1. 实现您正在尝试做的最简单的方法是创建 具有以下映射的索引：

   client.CreateIndex(descriptor => descriptor
       .Index(indexName)
       .AddMapping<Document>(m => m
           .Properties(p => p
               .String(s => s.Name(n => n.Id).Index(FieldIndexOption.NotAnalyzed)))));
   
   class Document
   {
       public string Id { get; set; }
   }           
   

   索引一些带有小写 id 值的文档：

   client.Index(new Document {Id = "Accounting/AP_ABC.asp".ToLower()});
   client.Index(new Document {Id = "Accounting/AR_ABC.asp".ToLower()});
   client.Index(new Document {Id = "Accounting/Account.asp".ToLower()});
   

   那么对于这个排序

   var searchResponse = client.Search<Document>(s => s
       .Sort(sort => sort
           .OnField(f => f.Id).Ascending()));
   

   我们会得到

   {
      "took": 1,
      "timed_out": false,
      "_shards": {
         "total": 5,
         "successful": 5,
         "failed": 0
      },
      "hits": {
         "total": 3,
         "max_score": null,
         "hits": [
            {
               "_index": "indexname",
               "_type": "document",
               "_id": "accounting/account.asp",
               "_score": null,
               "_source": {
                  "id": "accounting/account.asp"
               },
               "sort": [
                  "accounting/account.asp"
               ]
            },
            {
               "_index": "indexname",
               "_type": "document",
               "_id": "accounting/ap_abc.asp",
               "_score": null,
               "_source": {
                  "id": "accounting/ap_abc.asp"
               },
               "sort": [
                  "accounting/ap_abc.asp"
               ]
            },
            {
               "_index": "indexname",
               "_type": "document",
               "_id": "accounting/ar_abc.asp",
               "_score": null,
               "_source": {
                  "id": "accounting/ar_abc.asp"
               },
               "sort": [
                  "accounting/ar_abc.asp"
               ]
            }
         ]
      }
   }
   

2. 但是，如果您真的关心您提供的 ID（例如 Accounting/AP_ABC.asp) 你可以使用前面提到的 Case-Insensitive Sorting.

   使用 NEST 应用此解决方案：

   如下创建映射

   client.CreateIndex(descriptor => descriptor
       .Index(indexName)
       .Analysis(analysisDescriptor => analysisDescriptor
           .Analyzers(a => a
               .Add("case_insensitive_sort", new CustomAnalyzer
               {
                   Tokenizer = "keyword",
                   Filter = new List<string> {"lowercase"}
               })))
       .AddMapping<Document>(m => m
           .Properties(p => p
               .String(s => s
                   .Name(n => n.Id)
                   .Analyzer("case_insensitive_sort")))));
   

   索引文件：

   client.Index(new Document {Id = "Accounting/AP_ABC.asp"});
   client.Index(new Document {Id = "Accounting/AR_ABC.asp"});
   client.Index(new Document {Id = "Accounting/Account.asp"});
   

   对于排序，我们将排序，我们将得到以下结果

   {
      "took": 1,
      "timed_out": false,
      "_shards": {
         "total": 5,
         "successful": 5,
         "failed": 0
      },
      "hits": {
         "total": 3,
         "max_score": null,
         "hits": [
            {
               "_index": "indexname",
               "_type": "document",
               "_id": "Accounting/Account.asp",
               "_score": null,
               "_source": {
                  "id": "Accounting/Account.asp"
               },
               "sort": [
                  "accounting/account.asp"
               ]
            },
            {
               "_index": "indexname",
               "_type": "document",
               "_id": "Accounting/AP_ABC.asp",
               "_score": null,
               "_source": {
                  "id": "Accounting/AP_ABC.asp"
               },
               "sort": [
                  "accounting/ap_abc.asp"
               ]
            },
            {
               "_index": "indexname",
               "_type": "document",
               "_id": "Accounting/AR_ABC.asp",
               "_score": null,
               "_source": {
                  "id": "Accounting/AR_ABC.asp"
               },
               "sort": [
                  "accounting/ar_abc.asp"
               ]
            }
         ]
      }
   }
   

希望它会有所帮助。