# Elasticsearch: total term frequency and doc count from given set of documents **URL:** \ **Category:** Elasticsearch\ **Created:** [January 12, 2018, 6:17am UTC](https://discuss.elastic.co/t/elasticsearch-total-term-frequency-and-doc-count-from-given-set-of-documents/115223 "2018-01-12T06:17:24Z")\ **Posts on this page:** 6\ **Page:** 1
**Author:** ![prasoonkirar](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/prasoonkirar/32/26462_2.png) [@prasoonkirar](https://discuss.elastic.co/u/prasoonkirar)\ **Post date:** [January 12, 2018, 6:17am UTC](https://discuss.elastic.co/t/elasticsearch-total-term-frequency-and-doc-count-from-given-set-of-documents/115223/1 "2018-01-12T06:17:24Z")
I am trying to get total term frequency and document count from given set of documents, but \_termvectors in elasticsearch returns ttf and doc\_count from all documents within the index. Is there any way so that I can specify list of documents (document ids) so that result will based on those documents only. Below are documents details and query to get total term frequency: **Index details:** ``` PUT /twitter { "mappings": { "tweets": { "properties": { "name": { "type": "text", "analyzer":"english" } } } }, "settings" : { "index" : { "number_of_shards" : 1, "number_of_replicas" : 0 } } } ``` **Document Details:** ``` PUT /twitter/tweets/1 { "name":"Hello bar" } PUT /twitter/tweets/2 { "name":"Hello foo" } PUT /twitter/tweets/3 { "name":"Hello foo bar" } ``` It will create three document with ids 1, 2 and 3. Now suppose tweets with ids 1 and 2 belongs to user1 and 3 belong to another user and I want to get the termvectors for user1. **Query to get this result:** ``` GET /twitter/tweets/_mtermvectors { "ids" : ["1", "2"], "parameters": { "fields": ["name"], "term_statistics": true, "offsets":false, "payloads":false, "positions":false } } ``` **Response:** ``` { "docs": [ { "_index": "twitter", "_type": "tweets", "_id": "1", "_version": 1, "found": true, "took": 1, "term_vectors": { "name": { "field_statistics": { "sum_doc_freq": 7, "doc_count": 3, "sum_ttf": 7 }, "terms": { "bar": { "doc_freq": 2, "ttf": 2, "term_freq": 1 }, "hello": { "doc_freq": 3, "ttf": 3, "term_freq": 1 } } } } }, { "_index": "twitter", "_type": "tweets", "_id": "2", "_version": 1, "found": true, "took": 1, "term_vectors": { "name": { "field_statistics": { "sum_doc_freq": 7, "doc_count": 3, "sum_ttf": 7 }, "terms": { "foo": { "doc_freq": 2, "ttf": 2, "term_freq": 1 }, "hello": { "doc_freq": 3, "ttf": 3, "term_freq": 1 } } } } } ] } ``` Here we can see `hello` is having doc\_count 3 and ttf 3. How can I make it to consider only documents with given ids. One approach I am thinking is to create different index for different users. But I am not sure if this approach is correct. With this approach indices will increase with users. Or can there be another solution? ---
**Author:** ![dadoonet](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/dadoonet/32/137187_2.png) [@dadoonet](https://discuss.elastic.co/u/dadoonet)\ **Post date:** [January 12, 2018, 7:28am UTC](https://discuss.elastic.co/t/elasticsearch-total-term-frequency-and-doc-count-from-given-set-of-documents/115223/2 "2018-01-12T07:28:09Z")
Please format your code using `` icon as explained in [this guide](https://discuss.elastic.co/t/about-the-elasticsearch-category/21). It will make your post more readable. Or use markdown style like: ```` ``` CODE ``` ```` ---
**Author:** ![prasoonkirar](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/prasoonkirar/32/26462_2.png) [@prasoonkirar](https://discuss.elastic.co/u/prasoonkirar)\ **Post date:** [January 12, 2018, 7:39am UTC](https://discuss.elastic.co/t/elasticsearch-total-term-frequency-and-doc-count-from-given-set-of-documents/115223/3 "2018-01-12T07:39:35Z")
Thanks for suggestion, I have updated formatting accordingly. ---
**Author:** ![dadoonet](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/dadoonet/32/137187_2.png) [@dadoonet](https://discuss.elastic.co/u/dadoonet)\ **Post date:** [January 12, 2018, 8:00am UTC](https://discuss.elastic.co/t/elasticsearch-total-term-frequency-and-doc-count-from-given-set-of-documents/115223/4 "2018-01-12T08:00:22Z")
Awesome. Thanks! I don't have the answer to your question. Indeed creating specific indices would work. If it's a one shot or small operation, you could imagine something like: - calling reindex API using the query you wish and reindex few docs to `tmp_timestamp` index for example - call the termvectors API - drop the `tmp_timestamp` index But may be @jimczi has a much better idea? ---
**Author:** ![jimczi](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/jimczi/32/47985_2.png) [@jimczi](https://discuss.elastic.co/u/jimczi)\ **Post date:** [January 12, 2018, 8:36am UTC](https://discuss.elastic.co/t/elasticsearch-total-term-frequency-and-doc-count-from-given-set-of-documents/115223/5 "2018-01-12T08:36:48Z")
Since you have the `term_freq` per term per document in the response, it should be straightforward to derive the total term frequency for each term (just sum up the `term_freq` of each document/term) and the doc count is just the number of documents in the response that contain the term. ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [February 9, 2018, 8:37am UTC](https://discuss.elastic.co/t/elasticsearch-total-term-frequency-and-doc-count-from-given-set-of-documents/115223/6 "2018-02-09T08:37:04Z")
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