使用NEST弹性搜索 - 在调试和浏览器模式的结果不同 [英] Elastic Search using NEST - Results different in debug and browser mode
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问题描述
我在.NET中使用巢ES
I'm using NEST for ES in .net
这是怎么IM索引一份文件。 （写在名为设置不同的类中的所有弹性客户端连接）
This is how im indexing a doc. (Wrote all the elastic client connections in a different class called Settings)
等按钮点击
client = Settings.connection();
var res1 = new Class1
{
Id = 1,
Ans = "The quick brown fox jumps over the lazy dog"
};
if (client.IndexExists("zzz").Exists == true)
{
client.Index(res1);
}
字符串ANS =的getInfo（）;
string ans = getInfo();
工艺（ANS）;
public string getInfo(){
string wordInfoQuery = @"{
""query"": {
""match_phrase"":{
""Answer"":{
""query"": ""brown dog"",
""slop"": "3"
}
}
}
}";
try
{
if (client != null)
{
var callResult = client.LowLevel.Search<string>(wordInfoQuery);
reply = callResult.Body.ToString();
e.Write(callResult.Body);
}
}
return reply;
}
public void process(string answer)
{
if (!string.IsNullOrEmpty(answer))
{
byte[] byteArray = Encoding.UTF8.GetBytes(answer);
MemoryStream m = new MemoryStream(byteArray);
float score;
using (StreamReader r = new StreamReader(m))
{
string json1 = r.ReadToEnd();
JObject jobj1 = JObject.Parse(json1);
JToken agg1 = jobj1.GetValue("hits")["max_score"];
if (agg1!=null) //getting an error here most of the times. if the max_score field is null (for eg: instead of brown dog if i send "tax" as a query term)
{
score = agg1.ToObject<float>();
}
else
{
score = 0;
}
}
}
}
class Settings{
public static ElasticClient connection()
{
configvalue1 = ConfigurationManager.AppSettings["url"];//stored the url in web.config (http://localhost:9200)
node = new Uri(configvalue1);
settings = new ConnectionSettings(node)
.DefaultIndex("zzz")
.MapDefaultTypeNames(m => m.Add(typeof(Class1), "omg"));
client = new ElasticClient(settings);
if (client.IndexExists("zzz").Exists)
{
client.DeleteIndex("zzz"); //i want to index only one doc at a time. so deleting and creating everytime i click on the button
client.CreateIndex("zzz");
}
return client;
}
}
在上面的code，当我运行在调试模式下的code，我越来越有查询结果成功后消息（如：MAX_SCORE = 0.28），其中，如果我运行$ C在浏览器模式$ C，它仍然是制定以ES打电话，但结果是空的（MAX_SCORE =）。我不知道为什么会这样。
有人请在解决这一帮助。
In the above code, when i run the code in debug mode, I'm getting a successful post message with query result(for eg. max_Score = 0.28) where as if i run the code in browser mode, it is still making a call to ES , but the result is empty(max_score =""). I dont know why is this happening. someone please help in solving this.
在此先感谢
推荐答案
一些意见：
- 您使用
答案作为默认在您的JSON，但巢match_phrase查询的字段名会骆驼情况下，所有的CLR属性名称映射时，索引，搜索等，这应该是答案或<一个href=\"https://www.elastic.co/guide/en/elasticsearch/client/net-api/2.x/field-inference.html#camel-casing\"相对=nofollow>更改连接的默认字段名推断设置 - 在当前没有任何结果为
match_phrase查询MAX_SCORE将空，所以你将需要处理这种情况。在你的榜样，一个污3生成的查询没有命中让MAX_SCORE是空。如果您更改污5，你得到的文档背部和一个值MAX_SCORE。 - 我建议使用流利的API 或<一个href=\"https://www.elastic.co/guide/en/elasticsearch/client/net-api/2.x/match-phrase-usage.html#_object_initializer_syntax_example_32\"相对=nofollow>对象初始化语法巢，除非你有很好的理由不（如果你有一个原因，我们很想知道！）。有 用法示例） ：所有查询的DSL NEST 2.X 应希望帮助的
- You use
"Answer"as the field name for thematch_phrasequery in your json but NEST by default will camel case all CLR property names when mapping, indexing, searching, etc. This should be"answer"or change the default field name inference on Connection Settings - When there are no results for a
match_phrasequery,max_scorewill benullso you will need to handle this case. In your example, aslopof 3 produces no hits for the query somax_scoreisnull. If you changeslopto 5, you get the document back and a value formax_score. - I'd recommend using the Fluent API or the Object Initializer Syntax in NEST unless you have good reason not to (and if you do have a reason, we'd love to know!). There are usage examples of all of the Query DSL for NEST 2.x that should hopefully help :)
一个例子
void Main()
{
var pool = new SingleNodeConnectionPool(new Uri("http://localhost:9200"));
var defaultIndex = "zzz";
var connectionSettings = new ConnectionSettings(pool)
.DefaultIndex(defaultIndex)
.MapDefaultTypeNames(m => m.Add(typeof(Class1), "omg"))
.PrettyJson()
.DisableDirectStreaming()
.OnRequestCompleted(response =>
{
// log out the request
if (response.RequestBodyInBytes != null)
{
Console.WriteLine(
$"{response.HttpMethod} {response.Uri} \n" +
$"{Encoding.UTF8.GetString(response.RequestBodyInBytes)}");
}
else
{
Console.WriteLine($"{response.HttpMethod} {response.Uri}");
}
// log out the response
if (response.ResponseBodyInBytes != null)
{
Console.WriteLine($"Status: {response.HttpStatusCode}\n" +
$"{Encoding.UTF8.GetString(response.ResponseBodyInBytes)}\n" +
$"{new string('-', 30)}\n");
}
else
{
Console.WriteLine($"Status: {response.HttpStatusCode}\n" +
$"{new string('-', 30)}\n");
}
});
var client = new ElasticClient(connectionSettings);
if (client.IndexExists(defaultIndex).Exists)
{
client.DeleteIndex(defaultIndex);
}
client.CreateIndex(defaultIndex);
client.Index(new Class1
{
Id = 1,
Answer = "The quick brown fox jumps over the lazy dog"
}, i => i.Refresh());
var searchResponse = client.Search<Class1>(s => s
.Query(q => q
.MatchPhrase(mp => mp
.Field(f => f.Answer)
.Query("brown dog")
.Slop(5)
)
)
);
Console.WriteLine(searchResponse.MaxScore);
}
public class Class1
{
public int Id { get; set; }
public string Answer { get; set;}
}
写出以下到控制台
Writes out the following to the console
HEAD http://localhost:9200/zzz?pretty=true
Status: 200
------------------------------
DELETE http://localhost:9200/zzz?pretty=true
Status: 200
{
"acknowledged" : true
}
------------------------------
PUT http://localhost:9200/zzz?pretty=true
{}
Status: 200
{
"acknowledged" : true
}
------------------------------
PUT http://localhost:9200/zzz/omg/1?pretty=true&refresh=true
{
"id": 1,
"answer": "The quick brown fox jumps over the lazy dog"
}
Status: 201
{
"_index" : "zzz",
"_type" : "omg",
"_id" : "1",
"_version" : 1,
"_shards" : {
"total" : 2,
"successful" : 1,
"failed" : 0
},
"created" : true
}
------------------------------
POST http://localhost:9200/zzz/omg/_search?pretty=true
{
"query": {
"match": {
"answer": {
"type": "phrase",
"query": "brown dog",
"slop": 5
}
}
}
}
Status: 200
{
"took" : 1,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 1,
"max_score" : 0.07829509,
"hits" : [ {
"_index" : "zzz",
"_type" : "omg",
"_id" : "1",
"_score" : 0.07829509,
"_source" : {
"id" : 1,
"answer" : "The quick brown fox jumps over the lazy dog"
}
} ]
}
}
------------------------------
0.07829509
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