# For search-as-type scenario with 10 million very simple documents what is the recommended approach
**URL:** https://discuss.elastic.co/t/for-search-as-type-scenario-with-10-million-very-simple-documents-what-is-the-recommended-approach/227410
**Category:** Elasticsearch
**Created:** [April 9, 2020, 10:11pm UTC](https://discuss.elastic.co/t/for-search-as-type-scenario-with-10-million-very-simple-documents-what-is-the-recommended-approach/227410 "2020-04-09T22:11:57Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@jimisdrpc](https://discuss.elastic.co/u/jimisdrpc)
#### Post date: [April 9, 2020, 10:11pm UTC](https://discuss.elastic.co/t/for-search-as-type-scenario-with-10-million-very-simple-documents-what-is-the-recommended-approach/227410/1 "2020-04-09T22:11:57Z")
I have this requirement: create SEARCH-AS-TYPE solution with Spring and Elasticsearch couple. There will be one 10 million documents on Elasticsearch. Each document is really simple json like {“id”:9999, “FullName”}. After the user type the third letter I have to filter. the user can keep typing and the result should short. According to [https://www.elastic.co/guide/en/elasticsearch/reference/7.6/analysis-edgengram-tokenizer.html](https://www.elastic.co/guide/en/elasticsearch/reference/7.6/analysis-edgengram-tokenizer.html) “ … When you need _search-as-you-type_ for text which has a widely known order, such as movie or song titles, the [completion suggester](https://www.elastic.co/guide/en/elasticsearch/reference/7.6/search-suggesters.html#completion-suggester) is a much more efficient choice than edge N-grams. Edge N-grams have the advantage when trying to autocomplete words that can appear in any order…” As far as I can see, my requirement fills the demand of “… trying to autocomplete words that can appear in any order” so I would conclude that Edge N-grams is my best bet. Nevertheless I read also from [https://www.elastic.co/guide/en/elasticsearch/reference/7.6/search-as-you-type.html](https://www.elastic.co/guide/en/elasticsearch/reference/7.6/search-as-you-type.html) “… The `search_as_you_type` field type is a text-like field that is optimized to provide out-of-the-box support for queries that serve an as-you-type completion use case.”. that said, I am confused. Based on my business requirement which approach would you favor? Is `search_as_you_type` field datatype complementary to Edge N-grams tokenizer? Can use both approach or should I pick up one of them? Would you favor even a third approach? Any tip will be highly appreciated.
To summarize, what is the recommended rule of thumb for this cases:
- user type three letters. I have to bring all names that contain such three letters no matter in beggin, middle or end of the name. While the user keep typing the result list will reduce.
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### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [May 7, 2020, 10:12pm UTC](https://discuss.elastic.co/t/for-search-as-type-scenario-with-10-million-very-simple-documents-what-is-the-recommended-approach/227410/2 "2020-05-07T22:12:05Z")
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