Documents filtering

I'm pretty new in elasticsearch and I need help to compose search query.
I have index type under name "modelresult" wich contains a few indexed DB tables. The mapping http://pastebin.com/G0AeXDFB
I need to filter all ads (docs with django_ct eq to "ads.ad") with condition:

(category1: filter1 OR filter2 OR filter3) AND (category2: filter4 OR filter5 OR filter6) AND (categoryN: OR ) AND (etc)

Where is category noted with fields - filters_ids, filters_names, filters_slugs
and filter is - filters_ids, filters_names, filters_slugs
(Ad can contain a multiple filters and hence a multiple categories)

Currently I'm using this query , but it's not I wanted.
Currently I use this query http://pastebin.com/W6EHeJmx, but that's not what I need.

If we parse your top level expression which is (..) AND (..) AND (..) this can be represented as a bool query with a must array to hold the subclauses. Each of your subclauses is a list of alternative values for the same field so you can use the terms query to list them succinctly. This gives us the following:

GET test/_search
{
   "query": {
	  "bool": {
		 "must": [
			{
			   "terms": {
				  "category1": ["filter1", "filter2", "filter3"]
			   }
			},
			{
			   "terms": {
				  "category2": ["filter4", "filter5", "filter6"]
			   }
			}
		 ]
	  }
   }
} 

This will work but we can improve on it because there are sections of this query we may not want to contribute to scoring results - it will take longer to compute and if we turn it into a filter expression Elasticsearch can agressively cache its results as yes/no bits it can reuse in similar queries. To do this we can wrap the terms clauses under a bool>filter arrangement. See here for more: Combining Filters | Elasticsearch: The Definitive Guide [2.x] | Elastic

Hi. Thanks for the answer. Unfortunately I made a critical error in the question. The bottom line is that the categories to which belongs ad indicates a set of fields: filters_categories_ids, filters_categories_names and filters_categories_slugs. Thus, this answer does not fit as the index does not store a collection of categoryN fields.

I suggest you supply an example doc as JSON and your intended query written as pseudocode

Thanks for taking time. Here is real document. Note - text data is mainly in russian.
http://pastebin.com/zRFHRW3u

Here is how I think it should work:

var1 = [category1, category2]
var2 = [filter1, filter2]

for doc in docs
    if var1 is a subset of doc.filter_categories_ids
        if any of var2 in doc.filters_ids
            return True

P.S. sorry for my english.