# Use Date histogram interval in calculation?

**URL:** <https://discuss.elastic.co/t/use-date-histogram-interval-in-calculation/1100>\
**Category:** Elasticsearch\
**Created:** [May 21, 2015, 3:05pm UTC](https://discuss.elastic.co/t/use-date-histogram-interval-in-calculation/1100 "2015-05-21T15:05:55Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![Pieter\_Agenbag](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/pieter_agenbag/32/4562_2.png) [@Pieter\_Agenbag](https://discuss.elastic.co/u/Pieter_Agenbag)\
**Post date:** [May 21, 2015, 3:05pm UTC](https://discuss.elastic.co/t/use-date-histogram-interval-in-calculation/1100/1 "2015-05-21T15:05:55Z")

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Hi. Is it possible to use the interval of a date histogram aggregation in calculations of nested aggs ?  
For instance, I have a query something like this:

```
{
  "size": 0,
  "query":{"filtered":{"query":{"match_all":{}}}}
  ,"aggs": {
    "x.interval": {
      "date_histogram": {
        "field": "timestamp",
        "interval": "1m",
        "pre_zone": "+02:00",
        "pre_zone_adjust_large_interval": true,
        "min_doc_count": 1,
        "extended_bounds": {
          "min": 1432215551896,
          "max": 1432219151896
        }
      },
      "aggs": {
        "y.value": {
          "sum": {
            "field": "to.bytes"
          }
        }
      }
    }
  }
}

```

That gives me a result something like this

```
   "aggregations": {
      "x.interval": {
         "buckets": [
            {
               "key_as_string": "2015-05-21T12:58:00.000Z",
               "key": 1432213080000,
               "doc_count": 15132,
               "y.value": {
                  "value": 236036536
               }
            },
            {
               "key_as_string": "2015-05-21T14:34:00.000Z",
               "key": 1432218840000,
               "doc_count": 17430,
               "y.value": {
                  "value": 5360547741
               }
            },
            {
               "key_as_string": "2015-05-21T14:35:00.000Z",
               "key": 1432218900000,
               "doc_count": 61721,
               "y.value": {
                  "value": 5192133328
               }
            },
            {
               "key_as_string": "2015-05-21T14:36:00.000Z",
               "key": 1432218960000,
               "doc_count": 53301,
               "y.value": {
                  "value": 4304589515
               }
            } 

```

So, the inner buckets "y.value" is the sum of bytes used for a specific date interval (outer date aggregation "x.interval").  
But I want to calculate the y.value as "sum(bytes) / interval" , to give me a bytes/second rate?

Thanx in advance.  
Pieter

---

<div class="post-metadata">

**Author:** ![colings86](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/colings86/32/44960_2.png) [@colings86](https://discuss.elastic.co/u/colings86)\
**Post date:** [May 22, 2015, 8:06am UTC](https://discuss.elastic.co/t/use-date-histogram-interval-in-calculation/1100/2 "2015-05-22T08:06:16Z")

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You can't currently access the interval in sub-aggregations. However we have a derivative aggregation coming in 2.0 which you should be able to use to achieve what you describe above. Look at [https://www.elastic.co/guide/en/elasticsearch/reference/master/search-aggregations-pipeline-derivative-aggregation.html](https://www.elastic.co/guide/en/elasticsearch/reference/master/search-aggregations-pipeline-derivative-aggregation.html) for more information on the derivative aggregation

---

<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [July 6, 2017, 12:12am UTC](https://discuss.elastic.co/t/use-date-histogram-interval-in-calculation/1100/3 "2017-07-06T00:12:28Z")

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