# Complex report with cardinality, filtering and so on

**URL:** <https://discuss.elastic.co/t/complex-report-with-cardinality-filtering-and-so-on/112396>\
**Category:** Elasticsearch\
**Created:** [December 19, 2017, 9:58am UTC](https://discuss.elastic.co/t/complex-report-with-cardinality-filtering-and-so-on/112396 "2017-12-19T09:58:31Z")\
**Posts on this page:** 4\
**Page:** 1

<div class="post-metadata">

**Author:** ![Evgeniy\_Ivlev](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/evgeniy_ivlev/32/25860_2.png) [@Evgeniy\_Ivlev](https://discuss.elastic.co/u/Evgeniy_Ivlev)\
**Post date:** [December 19, 2017, 9:58am UTC](https://discuss.elastic.co/t/complex-report-with-cardinality-filtering-and-so-on/112396/1 "2017-12-19T09:58:31Z")

</div>

Hi

My data have following columns:

1. MAC (keyword) - mac of device
2. errors (integer) - errors in record on device
3. switch (keyword) - switch connected to device

Schema is denormalized for fast search purposes.

In 30 minutes I have 6 data records from each device with unique MAC.  
I'd like to build report: "Show switches with max count of broken devices" or  
"Show all switches with number of broken devices \> 3"  
Device is broken when: **each** its data record (by MAC) has errors \> 0.

Is it possible to build report like this by Kibana visualization or timelion?

ES API query is also appropriate solution.

---

<div class="post-metadata">

**Author:** ![Evgeniy\_Ivlev](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/evgeniy_ivlev/32/25860_2.png) [@Evgeniy\_Ivlev](https://discuss.elastic.co/u/Evgeniy_Ivlev)\
**Post date:** [December 20, 2017, 11:45am UTC](https://discuss.elastic.co/t/complex-report-with-cardinality-filtering-and-so-on/112396/2 "2017-12-20T11:45:02Z")

</div>

Solutiuon. It may be helphul for somebody

```
GET _search
{
  "version": true,
  "size": 0,
  "_source": ["mac", "errors", "date", "switch"],
  "query": {
    "bool": {
      "must": [
        {
          "range": {
            "date": {
              "gt": "now-30m/m",
              "lte": "now/m"
            }
          }
        }
      ],
      "filter": [
        {
          "range": {
            "errors": {
              "gt": 0
            }
          }
        }
      ]
    }
  },
  "aggs": {
    "access_switch": {
      "terms": {
        "field": "switch",
        "size": 100
      },
      "aggs": {
        "mac": {
          "terms": {
            "field": "mac",
            "min_doc_count": 6,
            "size": 100
          }
        },
        "min_bucket_selector": {
          "bucket_selector": {
            "buckets_path": {
              "count": "mac._bucket_count"
            },
            "script": {
              "source": "params.count > 3"
            }
          }
        }
      }
    }
  }
}
```

---

<div class="post-metadata">

**Author:** ![Evgeniy\_Ivlev](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/evgeniy_ivlev/32/25860_2.png) [@Evgeniy\_Ivlev](https://discuss.elastic.co/u/Evgeniy_Ivlev)\
**Post date:** [December 20, 2017, 2:18pm UTC](https://discuss.elastic.co/t/complex-report-with-cardinality-filtering-and-so-on/112396/3 "2017-12-20T14:18:23Z")

</div>

Is there a way to merge construction like that in Kibana Visualization ?

```
"min_bucket_selector": {
          "bucket_selector": {
            "buckets_path": {
              "count": "mac._bucket_count"
            },
            "script": {
              "source": "params.count > 3"
            }
          }
        }
```

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<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:** [January 17, 2018, 2:18pm UTC](https://discuss.elastic.co/t/complex-report-with-cardinality-filtering-and-so-on/112396/4 "2018-01-17T14:18:31Z")

</div>

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