1、异步执行var entity = new Company {Name = "Async Company #2", Id = "companies/2"};using (var session = documentStore.OpenAsyncSession()){    var company = await session.LoadAsync
     
      (1); // loading an entity asynchronously     await session.StoreAsync(entity); // in-memory operations are committed asynchronously when calling SaveChangesAsync    await session.SaveChangesAsync(); // returns a task that completes asynchronously     var query = session.Query
      
       ()                       .Where(x => x.Name == "Async Company #1")                       .ToListAsync(); // returns a task that will execute the query}2、维度查询假设我们有一个这样的文档： {    DateOfListing: "2000-09-01T00:00:00.0000000+01:00"    Manufacturer: "Jessops"    Model: "blah"    Cost: 717.502206059872    Zoom: 9    Megapixels: 10.4508949012733    ImageStabiliser: false}1）建立基于制造厂商，成本和像素的维度var _facets = new List
       
                      {                  new Facet                      {                          Name = "Manufacturer"                      },                  new Facet                      {                          Name = "Cost_Range",                          Mode = FacetMode.Ranges,                          Ranges =                              {                                  "[NULL TO Dx200.0]",                                  "[Dx200.0 TO Dx400.0]",                                  "[Dx400.0 TO Dx600.0]",                                  "[Dx600.0 TO Dx800.0]",                                  "[Dx800.0 TO NULL]",                              }                      },                  new Facet                      {                          Name = "Megapixels_Range",                          Mode = FacetMode.Ranges,                          Ranges =                              {                                  "[NULL TO Dx3.0]",                                  "[Dx3.0 TO Dx7.0]",                                  "[Dx7.0 TO Dx10.0]",                                  "[Dx10.0 TO NULL]",                              }                      }              };成本字段范围Cost <= 200.0200.0 <= Cost <= 400.0400.0 <= Cost <= 600.0600.0 <= Cost <= 800.0Cost >= 800.0像素字段范围Megapixels <= 3.03.0 <= Megapixels <= 7.07.0 <= Megapixels <= 10.0Megapixels >= 10.0//保存session.Store(new FacetSetup { Id = "facets/CameraFacets", Facets = _facets });2、创建索引store.DatabaseCommands.PutIndex("CameraCost",            new IndexDefinition            {                Map = @"from camera in docs                                select new                                {                                    camera.Manufacturer,                                    camera.Model,                                    camera.Cost,                                    camera.DateOfListing,                                    camera.Megapixels                                }"            });3、查询var facetResults = session.Query
        
         ("CameraCost")    .Where(x => x.Cost >= 100 && x.Cost <= 300)    .ToFacets("facets/CameraFacets");通过通过这个网址查询：http://localhost:8080/facets/CameraCost?facetDoc=facets/CameraFacets&query=Cost_Range:[Dx100 TO Dx300.0]结果如下： {   Manufacturer: [      {         Range: 'canon',         Count: 42      },      {         Range: 'jessops',         Count: 50      },      {         Range: 'nikon',         Count: 46      },      {         Range: 'phillips',         Count: 44      },      {         Range: 'sony',         Count: 35      }   ],   Cost_Range: [      {         Range: '[NULL TO Dx200.0]',         Count: 115      },      {         Range: '[Dx200.0 TO Dx400.0]',         Count: 102      }   ],   Megapixels_Range: [      {         Range: '[NULL TO Dx3.0]',         Count: 42      },      {         Range: '[Dx3.0 TO Dx7.0]',         Count: 79      },      {         Range: '[Dx7.0 TO Dx10.0]',         Count: 82      },      {         Range: '[Dx10.0 TO NULL]',         Count: 14      }   ]}