indexing suggestions using analyzer - elasticsearch

Question

Good day:
I'm trying to figure out how to index suggestion without splitting my text using a delimiter and storing it in the CompletionField:
List<string> inputs = new List<string>() {
facility.City,
facility.State,
facility.ZipCode
};
inputs.AddRange(facility.Name.Split(' '));
inputs.AddRange(facility.Address.Split(' '));
inputs.AddRange(facilityType.Description.Split(' '));
var completionField = new CompletionField()
{
Input = inputs.AsEnumerable<string>()
};
return completionField;
This isn't a optimal way of doing this because, I would rather let the analyzer handle this as oppose to doing this and then indexing it. Is there a way to send the entire text to Elastic and let Elastic analyze the text and store in in the completionfield on indexing or something else?
Updated
I've my code to index the entire text and to use the default analyzer however, this is what was index and the analyzer isn't breaking the text up
"suggest": {
"input": [
"Reston",
"Virginia",
"20190",
"Facility 123456",
"22100 Sunset Hills Rd suite 150*"
]
},
My code:
List<string> inputs = new List<string>() {
facility.City,
facility.State,
facility.ZipCode
};
inputs.Add(facility.Name);
inputs.Add(facility.Address);
if (facility.Description != null && facility.Description != "")
{
inputs.Add(facility.Description);
}
var completionField = new CompletionField()
{
Input = inputs.AsEnumerable<string>()
};
return completionField;
My mapping for the property:
"suggest": {
"type": "completion",
"analyzer": "simple",
"preserve_separators": true,
"preserve_position_increments": true,
"max_input_length": 50
},
But, yet it's not breaking up my input.

Answer 1

Just send all the text in input and specify a custom analyzer that uses the whitespace tokenizer and nothing else
EDIT
First add the analyzer
PUT my_index
{
"settings": {
"analysis": {
"analyzer": {
"my_custom_analyzer": {
"type": "custom",
"tokenizer": "whitespace",
"filter": [
"lowercase"
]
}
}
}
},
"mappings": {
"_doc" : {
"properties" : {
"suggest" : {
"type" : "completion",
"analyzer": "my_custom_analyzer"
},
"title" : {
"type": "keyword"
}
}
}
}
}
Then specify it on suggest field