analyzer

I want to write a custom code analyzer in Visual Studio 2015 for a C# ConsoleApplication. For this reason I don't want to create a seperate "Analyzer with Code Fix" project from template, because this requires to add this analyzer in my projects as nuget package. Is it possible, to add a analyzer reference manually? I would like to reference the analyzer without nuget. If you add an analyzer as Nuget and check the content of your project, you'll see that only an <Analyzer Include="..." /> item is added. You can do the same manually. Also, you can do this in the .csproj.user file as well, so

EDIT: To add on to this, the synonyms seem to be working with basic querystring queries. "query_string" : { "default_field" : "location.region.name.raw", "query" : "nh" } This returns all of the results for New Hampshire, but a "match" query for "nh" returns no results. I'm trying to add synonyms to my location fields in my Elastic index, so that if I do a location search for "Mass," "Ma," or "Massachusetts" I'll get the same results each time. I added the synonyms filter to my settings and changed the mapping for locations. Here are my settings: analysis":{ "analyzer":{ "synonyms":{ "filter":

I'm still in the evaluation of Neo4j vs. OrientDB . Most importantly I need Lucene as full-text index engine. So I created on both databases the same schema with the same data (300Mio lines). I'm also experienced with querying different things in both systems. I used the Standard Analyzer on both sides. The OrientDB test query results are all fine and really good in terms of reliability and speed. The speed of Neo4j is also ok but the results are kind of bad in most of the cases. So let's come to the different issues I have with Neo4j Lucene indexing. I always give you an example of how it

Using ES 1.2.1 My aggregation { "size": 0, "aggs": { "cities": { "terms": { "field": "city","size": 300000 } } } } The issue is that some city names have spaces in them and aggregate separately. For instance Los Angeles { "key": "Los", "doc_count": 2230 }, { "key": "Angeles", "doc_count": 2230 }, I assume it has to do with the analyzer? Which one would I use to not split on spaces? For fields that you want to perform aggregations on I would recommend either the keyword analyzer or do not analyze the field at all. From the keyword analyzer documentation: An analyzer of type keyword that

I've been playing with ElasticSearch a little and found an issue when doing aggregations. I have two endpoints, /A and /B . In the first one I have parents for the second one. So, one or many objects in B must belong to one object in A. Therefore, objects in B have an attribute "parentId" with parent index generated by ElasticSearch. I want to filter parents in A by children attributes of B. In order to do it, I first filter children in B by attributes and get its unique parent ids that I'll later use to get parents. I send this request: POST http://localhost:9200/test/B/_search { "query": {