nest

Updated to show a working sample I am trying to do a partial search on a collection of usernames in ElasticSearch. Searching around has pointed me in the nGram Tokenizer direction but I am stumped at proper implementation and fail to get any results. This is the the relevant code stripped from the project I'm working on. I have tried different combinations and search types to no avail. setup.cs var client = new ElasticClient(settings.ConnectionSettings); // (Try and) Setup the nGram tokenizer. var indexSettings = new IndexSettings(); var custonAnalyzer = new CustomAnalyzer(); customAnalyzer

I want to implement full text search and tokenized search with NEST, so I want to get multifield like that : "tweet": { "properties": { "message": { "type": "string", "store": true, "fields": { "raw": { "type": "string", "index": "not_analyzed" } } } } } Currently, my mapping with NEST is [ElasticType(Name = "tweet")] internal class Tweet { [ElasticProperty(Name = "message")] public string Message { get; set; } } I searched in the documentation on NEST and ElasticSearch.net but nothing came by. Is there any option to get a raw field inside a field automatically or should I define a nested

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm using C# with those nuget packeges; <package id="Elasticsearch.Net" version="5.2.0" targetFramework="net462" /> <package id="NEST" version="5.2.0" targetFramework="net462" /> <package id="Newtonsoft.Json" version="9.0.1" targetFramework="net462" /> What I want to do here, I want to get "white" items in price range 2000 - 3000. It's a simple request for a search api, am I right ? So I wrote a code for this. Here it is; private static void Search(IElasticContext elasticContext, string indexName) { IQueryContainer termQueryContainer = new

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I want to do a search matching multiple values ( an array of values ) like this : var result1 = _client.Search<type1>(s => s .Fields(f => f.trip_id) .Query(q => q .Terms(t => t.arg1, value1)).Take(_allData)) .Documents.Select(d => d.arg2).ToArray(); var result2 = _client.Search<type2>(s => s .Query(q => q .Terms(t => t.arg3, result1)) .Take(_allData) ).Documents.Select(s => s.ar3).ToList(); How can I do ? I was thinking about facets but I don't see how I can do it. The only way for now that works is with a foreach iterator which is not

I just can't seem to get the syntax correct for multi field mapping in NEST 2.0--if that's the correct terminology. Every example I've found for mapping seems to be <= the 1.x version of NEST. I'm new to Elasticsearch and NEST, and I've been reading their documentation, but the NEST documentation hasn't been completely updated for 2.x. Basically, I don't need to index or store the entire type. Some fields I need for indexing only, some fields I'll need to index and retrieve, and some I don't need for indexing, just for retrieval. MyType { // Index this & allow for retrieval. int Id { get; set;

I am using .From() and .Size() methods to retrieve all documents from Elastic Search results. Below is sample example - ISearchResponse<dynamic> bResponse = ObjElasticClient.Search<dynamic>(s => s.From(0).Size(25000).Index("accounts").AllTypes().Query(Query)); Recently i came across scroll feature of Elastic Search. This looks better approach than From() and Size() methods specifically to fetch large data. https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-scroll.html I looking for example on Scroll feature in NEST API. Can someone please provide NEST example?

I started looking around for a search engine and after some reading I decided going with ElasticSearch (which is quite amazing :)), my project is in C# so I looked around for a client and started using NEST , everything is quite straightforward but I am a bit confused on the searching part. I want to search all fields on a specific type what I came up with is the following code: elasticClient.Search<NewType>(s => s.Query(q => q.QueryString(d => d.Query(queryString)))); I saw that much of the string query search is deprecated and wanted to make sure the above is the correct way of doing this