1、nuget包安装NEST、安装elasticsearch、kibana、ik分词器、拼音分词器
2、创建操作对象
cs
//索引库
static string indexName = "testparticper";
//es 操作对象
ElasticClient elasticClient = new ElasticClient(new ConnectionSettings(new Uri("http://192.168.30.98:9200")));
3、创建一个索引库,字段使用ik分词器
cs
#创建索引库
PUT /testparticper
{
"mappings": {
"properties": {
"id": {
"type": "keyword",
"index": false
},
"name": {
"type": "text",
"analyzer": "ik_smart",
"copy_to": "all"
},
"password": {
"type": "text",
"index": false
},
"all": {
"type": "text",
"analyzer": "ik_smart"
}
}
}
}
4、创建需要的实体
cs
/// <summary>
/// 数据
/// </summary>
public class EsData
{
/// <summary>
/// 名称
/// </summary>
public string name { get; set; } = string.Empty;
/// <summary>
/// ,密码
/// </summary>
public string password { get; set; } = string.Empty;
}
/// <summary>
/// 分词器
/// </summary>
public class EsAnalyzer
{
/// <summary>
/// 名称
/// </summary>
public string analyzer { get; set; } = string.Empty;
/// <summary>
/// ,密码
/// </summary>
public string text { get; set; } = string.Empty;
}
5、创建两个使用的方法
ps:查询方法和直接使用语句一样
分词器方法没有找到现成使用方法,所有直接http调用,效果一致
cs
GET /testparticper/_search
{
"query": {
"term": {
"name": "名称"
}
}
}
cs
/// <summary>
/// 获取索引
/// </summary>
/// <returns></returns>
public string GetIndex(string name)
{
ISearchResponse<EsData> esData = elasticClient.Search<EsData>(x =>
{
return x.Index(indexName).Query(q => q.Term("name", name));
});
return esData.Documents.ToJson();
}
/// <summary>
/// 分词器
/// </summary>
/// <returns></returns>
public string Analyze(string body)
{
string str = new HttpTool().PostSendMessage("http://192.168.30.98:9200", "/_analyze", body);
return str;
}
6、es使用
cs
/// <summary>
/// es操作
/// </summary>
[Route("[controller]")]
[StartAutoWrite]
public class ElasticsearchController : Controller
{
[AutoWrite]
ElasticsearchTool? elasticsearch;
/// <summary>
/// 查询
/// </summary>
/// <returns></returns>
// GET: api/values
[HttpGet("exist")]
public string Exist([FromQuery] string name)
{
return elasticsearch?.GetIndex(name) ?? string.Empty;
}
/// <summary>
/// 分词器
/// </summary>
/// <param name="esAnalyzer"></param>
/// <returns></returns>
[HttpPost("analyze")]
public string Analyze([FromBody] EsAnalyzer esAnalyzer)
{
return elasticsearch?.Analyze(esAnalyzer.ToJson()) ?? string.Empty;
}
}
7、响应效果