# ES Aggregation as Logstash Input

**URL:** <https://discuss.elastic.co/t/es-aggregation-as-logstash-input/106927>\
**Category:** Logstash\
**Created:** [November 8, 2017, 8:04pm UTC](https://discuss.elastic.co/t/es-aggregation-as-logstash-input/106927 "2017-11-08T20:04:41Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![chetan\_vartak](https://avatars.discourse-cdn.com/v4/letter/c/fbc32d/32.png) [@chetan\_vartak](https://discuss.elastic.co/u/chetan_vartak)\
**Post date:** [November 8, 2017, 8:04pm UTC](https://discuss.elastic.co/t/es-aggregation-as-logstash-input/106927/1 "2017-11-08T20:04:41Z")

</div>

I found 2 topics on this topic with no clear solution. I eventually got it working.

- [How to get ES aggregation data as Logstash input?](https://discuss.elastic.co/t/how-to-get-es-aggregation-data-as-logstash-input/64776)
- [Aggregation Query possible input ES plugin](https://discuss.elastic.co/t/aggregation-query-possible-input-es-plugin/28159)

I basically used the curl to output ES aggregate query to file and then used file input to read and convert to csv. But same can be done to send aggregate data to ES as a new index.

```
input {
 pipe {
    codec => "json"
    command => "./ord_summary_curl.sh"
        }
}
filter {
  split { field => "[aggregations][by-date][buckets]" }
  split { field => "[aggregations][by-date][buckets][by-brand][buckets]" }
  split { field => "[aggregations][by-date][buckets][by-brand][buckets][by-status][buckets]" }

  ruby { code => "
       event.set('tot-Amt', event.get('[aggregations][by-date][buckets][by-brand][buckets][by-status][buckets][tot-Sales][value]') + event.get('[aggregations][by-date][buckets][by-brand][buckets][by-status][buckets][tot-demand][value]'))
    "
  }
}

output {
stdout {codec => rubydebug}
csv {

               fields => ["[aggregations][by-date][buckets][key_as_string]","[aggregations][by-date][buckets][by-brand][buckets][key]","[aggregations][by-date][buckets][by-brand][buckets][by-status][buckets][key]","[aggregations][by-date][buckets][by-brand][buckets][by-status][buckets][tot-ord-qty][value]","[aggregations][by-date][buckets][by-brand][buckets][by-status][buckets][tot-Sales][value]","[aggregations][by-date][buckets][by-brand][buckets][by-status][buckets][tot-demand][value]","tot-Amt"]

        path => "ord-summary.csv"
}
}

```

ES Query - curl command

```
curl -XGET "http://localhost:3602/perfectorder/OrderItem/_search?" -H 'Content-Type: application/json' -d'
{
  "query": {
    "bool": {
      "must": [
        {
          "match_all": {}
        },
        {
          "bool": {
            "must": [
              {
                "range": {
                  "OrderItem.OrderDate": {
                    "gte": "now-6d/d",
                    "lt": "now-5d/d",
                    "time_zone": "PST8PDT"
                  }
                }
              },
              {
                "term": {
                  "_type": "OrderItem"
                }
              },
              {
                "terms": {
                  "OrderItem.Brand.keyword": [
                    "COMP-A",
                    "COMP-B"
                  ]
                }
              }
            ]
          }
        }
      ],
      "must_not": []
    }
  },
  "size": 0,
  "_source": {
    "excludes": []
  },
  "aggs": {
    "by-date": {
      "date_histogram": {
        "field": "OrderItem.OrderDate",
        "interval": "1d",
        "time_zone": "America/Los_Angeles",
        "min_doc_count": 1
      },
      "aggs": {
        "by-brand": {
          "terms": {
            "field": "OrderItem.Brand.keyword",
            "size": 5,
            "order": {
              "by-eid1": "desc"
            }
          },
          "aggs": {
            "by-eid1": {
              "cardinality": {
                "field": "OrderItem.EID.keyword"
              }
            },
            "by-status": {
              "terms": {
                "field": "OrderItem.FulfillmentStatus.keyword",
                "size": 50,
                "order": {
                  "by-eid2": "desc"
                }
              },
              "aggs": {
                "by-eid2": {
                  "cardinality": {
                    "field": "OrderItem.EID.keyword"
                  }
                },
                "tot-ord-qty": {
                  "sum": {
                    "field": "OrderItem.Quantity"
                  }
                },
                "qty-bo": {
                  "sum": {
                    "field": "OrderItem.BackOrderQuantity"
                  }
                },
                "qty-cancel": {
                  "sum": {
                    "field": "OrderItem.CancelledQuantity"
                  }
                },
                "qty-del": {
                  "sum": {
                    "field": "OrderItem.DeliveredQuantity"
                  }
                },
                "qty-rel": {
                  "sum": {
                    "field": "OrderItem.ReleasedQuantity"
                  }
                },
                "qty-ship": {
                  "sum": {
                    "field": "OrderItem.ShippedQuantity"
                  }
                },
                "tot-demand": {
                  "sum": {
                    "field": "OrderItem.DemandSalesTotal"
                  }
                },
                "tot-Sales": {
                  "sum": {
                    "field": "OrderItem.ShippedSalesTotal"
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}'
```

---

<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:** [December 6, 2017, 8:04pm UTC](https://discuss.elastic.co/t/es-aggregation-as-logstash-input/106927/2 "2017-12-06T20:04:49Z")

</div>

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