Fielddata on a custom analyzer that is of keyword tokenizer

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1

I created a custom analyzer that does lowercasing. The reason why I did not use a normalizer is because I need to apply stopword filter that the normalizer is not supporting.

"lowercase_analyzer": {
                    "type": "custom",
                    "tokenizer": "keyword",
                    "filter": [
                        "truncate",
                        "stopwords",
                        "lowercase"
                    ]
                },

I define a subfield with the custom analyzer as follow:

"normalized": {
                      "analyzer": "lowercase_analyzer",
                      "type": "text",
                      "fielddata": true
                    },

But I have my doubts about using fielddata. Ideally, I want to use the doc_values for the aggregations. Since this is a fieldtype of text, this is not possible. How much will adding fielddata hurt the stability and performance? Does anyone know another solution?

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