1：引用dll

using Elasticsearch.Net;
using Nest;

            var node = new Uri("http://localhost:9200");

            var connectionPool = new SniffingConnectionPool(new[] { node });

            var config = new ConnectionConfiguration(connectionPool).DisableDirectStreaming().BasicAuthentication("admin", "
 
[email protected]#").RequestTimeout(TimeSpan.FromSeconds(60));

            var client = new ElasticLowLevelClient(config);

            var settings = new ConnectionSettings(new Uri("http://localhost:9200")).DefaultIndex("2017.03.08").DisableDirectStreaming();

            var client1 = new ElasticClient(settings);

            var request = new SearchRequest
            {
                From = 0,
                Size = 10,
                //Query = new TermQuery { Field = "Name", Value = "FundPayService" },
                PostFilter = new QueryContainer(new MatchAllQuery())

            };

            //var response = client1.Search<logs>(request);

            //var result = client1.Search<logs>(s => s.Query(q => q.MatchAll()));
            //IReadOnlyCollection<logs> content = result.Documents;

            //按照欄位查詢--或關係
            var r1 = new SearchRequest { Query = new MatchQuery { Field = "IP", Query = " BACKEND1" } };
            var result2 = client1.Search<logs>(r1);
            //var r4 =client1.Search<logs>(s => s.Query(b => b.QueryString(t1 => t1.DefaultField("IP").Query("BACKEND"))));  
           
             var filter= new SearchRequest<logs>
            {
                Query = new MatchQuery
                {
                    Field = "IP",
                    Query = "BACKEND"
                }
            };
             var result4 = client1.Search<logs>(filter);
            IReadOnlyCollection<logs> content2 = result2.Documents;

            //模糊查詢1
            var r5 = client1.Search<logs>(s => s.Query(q => q.QueryString(p => p.Query("BACKEN*"))));
            var r55 = r5.Documents;
            //模糊查詢2
            var filter2 = new SearchRequest<logs>
            {
                Query =new MatchQuery
                {
                    Field = "IP",
                    Query = "BACKEN"
                }
            };
            r5 = client1.Search<logs>(filter2);
            //範圍查詢
            //下面這段程式碼會查詢不出任何東西。因為生成json中的field欄位：Scur 是為scur。 由於elastic裡面的欄位是Scur。導致無法找到該欄位。建議以後elastic裡面的欄位都為小寫
            //var r6 = client1.Search<logs>(s => s.Query(q => q.Range(p=>p.Field(obj=>obj.Scur).GreaterThanOrEquals(1).LessThanOrEquals(5))));
            var r6 = client1.Search<logs>(s => s.Query(q => q.Range(p => p.Field("Scur").GreaterThanOrEquals(1).LessThanOrEquals(5))));
            var r66 = r5.Documents;

            //建立索引 索引欄位必須小寫
            ICreateIndexResponse icr =client1.CreateIndex("ip2");
            //建立索引連線
            var settings2 = new ConnectionSettings(new Uri("http://localhost:9200")).DefaultIndex("ip2").DisableDirectStreaming();
            var client2 = new ElasticClient(settings2);
            IIndexResponse iir =client2.Index<logs>(new logs { IP = "F", Scur = "2" });
            //查詢所有index資料
             var r7 =client2.Search<logs>(q => q.MatchAll()).Documents;
            //對於簡單結構的資料
             var r8 = client2.Search<logs>(p => p.Query(q => q.Term(f => f.Field(obj => obj.IP).Value('F'))));
             r8 = client2.Search<logs>(p => p.PostFilter(q => q.Term(f => f.Field(obj => obj.IP).Value('F'))));

            //對於有巢狀結構的資料
             r8 = client2.Search<logs>(p => p.Query(q => q.Nested(x => x.Query(k => k.Term(c => c.Field(obj => obj.IP).Value('F'))))));
            var r88=r8.Documents;
 

--複合查詢介面在外掛head裡，需要自己安裝。