How Can I convert raw query with “aggs” to Nest query?

[Nehad_Hazem]

I have this raw query that is being used in Kibana to get and show some data from ElasticSearch.
{
"query": {
"bool": {
"must": [
{
"query_string": {
"query": "",
"analyze_wildcard": true
}
},
{
"match": {
"type": {
"query": "Error",
"type": "phrase"
}
}
},
{
"match": {
"area": {
"query": "usa",
"type": "phrase"
}
}
},
{
"query_string": {
"analyze_wildcard": true,
"query": ""
}
},
{
"range": {
"requestTimestamp": {
"gte": 1509369446307,
"lte": 1509383846307,
"format": "epoch_millis"
}
}
}
],
"must_not": []
}
},
"size": 0,
"_source": {
"excludes": []
},
"aggs": {
"2": {
"date_histogram": {
"field": "requestTimestamp",
"interval": "5m",
"time_zone": "America/Los_Angeles",
"min_doc_count": 1
},
"aggs": {
"4": {
"filters": {
"filters": {
"Readable Title 1": {
"query_string": {
"query": "FirstField:("MyMachine-Prod-") AND SecondField:("Message1")",
"analyze_wildcard": true
}
},
"Readable Title 2": {
"query_string": {
"query": "FirstField:("MyMachine-Prod-") AND SecondField:("Message2")",
"analyze_wildcard": true
}
},
"Readable Title 3": {
"query_string": {
"query": "FirstField:("MyMachine-Prod-") AND SecondField:("Message3")",
"analyze_wildcard": true
}
},
"Readable Title 4": {
"query_string": {
"query": "SecondField:("Message4;") AND FirstField:("MyMachine-Prod-")",
"analyze_wildcard": true
}
},
"Readable Title 5": {
"query_string": {
"query": "SecondField:("Message5") AND FirstField:("MyMachine-Prod-")",
"analyze_wildcard": true
}
},
"Readable Title 6": {
"query_string": {
"query": "SecondField:("Message6") AND FirstField:("MyMachine-Prod-")",
"analyze_wildcard": true
}
},
"Readable Title 7": {
"query_string": {
"query": "SecondField:("Message7") AND FirstField:("MyMachine-Prod-")",
"analyze_wildcard": true
}
},
"Readable Title 8": {
"query_string": {
"query": "SecondField:("Message8") AND FirstField:("MyMachine-Prod-")",
"analyze_wildcard": true
}
},
"Readable Title 9": {
"query_string": {
"query": "FirstField:("MyMachine-Prod-") AND SecondField:("Message9")",
"analyze_wildcard": true
}
},
"Readable Title 10": {
"query_string": {
"query": "FirstField:("MyMachine-Prod-") AND SecondField:("Message10")",
"analyze_wildcard": true
}
},
"Readable Title 11": {
"query_string": {
"query": "FirstField:("MyMachine-Prod-") AND SecondField:("Message11")",
"analyze_wildcard": true
}
}
}
},
"aggs": {
"1": {
"cardinality": {
"field": "Guid"
}
}
}
}
}
}
},
"highlight": {
"pre_tags": [
"@kibana-highlighted-field@"
],
"post_tags": [
"@/kibana-highlighted-field@"
],
"fields": {
"": {
"highlight_query": {
"bool": {
"must": [
{
"query_string": {
"query": "",
"analyze_wildcard": true,
"all_fields": true
}
},
{
"match": {
"type": {
"query": "Error",
"type": "phrase"
}
}
},
{
"match": {
"area": {
"query": "usa",
"type": "phrase"
}
}
},
{
"query_string": {
"analyze_wildcard": true,
"query": "",
"all_fields": true
}
},
{
"range": {
"requestTimestamp": {
"gte": 1509369446307,
"lte": 1509383846307,
"format": "epoch_millis"
}
}
}
],
"must_not": []
}
}
}
},
"fragment_size": 2147483647
}
}

I need to get convert this query to Nest query and run it from inside C# console application to get the same data in my application, then I will do some processing on the returned data. Can anyone please help me in converting this query to Nest query?

Note: I have class in my C# code that matches has all the fields that are in my ElasticSearch Index and I'm able to do simple queries on it.

[forloop (Russ Cam)]

What have you tried so far?

If you'd just like to run the query using a JSON string, you can do so using the low level client. If you use the low level client exposed on the high level client, you can also get back a strongly typed search response

var client = new ElasticClient();

// substitute for your JSON string
var query = @"
{
  ""query"": {
    ""match"": {
      ""_all"": {
        ""query"": ""some query""
      }
    }
  }
}";

var searchResult = client.LowLevel.Search<SearchResponse<MyDocument>>(query);