ES extended_stats 函數

在進行ES聚合分析的時候，發現了一個很是有用的函數,extended_stats，能夠對聚合的結果進行更近一步的分析 ，常見的 count sum avg  min max 等均可以一目瞭然

 

GET cars/transactions/_search
{
  "size": 0,
  "aggs": {
    "makes": {
      "terms": {
        "field": "make",
        "size": 10
      },
      "aggs": {
        "stats": {
          "extended_stats": {
            "field": "price"
          }
        }
      }
    }
  } 
}

 

結果以下

 1 {  2  "took": 87,  3  "timed_out": false,  4  "_shards": {  5  "total": 5,  6  "successful": 5,  7  "failed": 0  8  },  9  "hits": { 10  "total": 8, 11  "max_score": 0, 12  "hits": [] 13  }, 14  "aggregations": { 15  "makes": { 16  "doc_count_error_upper_bound": 0, 17  "sum_other_doc_count": 0, 18  "buckets": [ 19  { 20  "key": "honda", 21  "doc_count": 3, 22  "stats": { 23  "count": 3, 24  "min": 10000, 25  "max": 20000, 26  "avg": 16666.666666666668, 27  "sum": 50000, 28  "sum_of_squares": 900000000, 29  "variance": 22222222.22222221, 30  "std_deviation": 4714.045207910315, 31  "std_deviation_bounds": { 32  "upper": 26094.757082487296, 33  "lower": 7238.5762508460375 34  } 35  } 36  }, 37  { 38  "key": "ford", 39  "doc_count": 2, 40  "stats": { 41  "count": 2, 42  "min": 25000, 43  "max": 30000, 44  "avg": 27500, 45  "sum": 55000, 46  "sum_of_squares": 1525000000, 47  "variance": 6250000, 48  "std_deviation": 2500, 49  "std_deviation_bounds": { 50  "upper": 32500, 51  "lower": 22500 52  } 53  } 54  }, 55  { 56  "key": "toyota", 57  "doc_count": 2, 58  "stats": { 59  "count": 2, 60  "min": 12000, 61  "max": 15000, 62  "avg": 13500, 63  "sum": 27000, 64  "sum_of_squares": 369000000, 65  "variance": 2250000, 66  "std_deviation": 1500, 67  "std_deviation_bounds": { 68  "upper": 16500, 69  "lower": 10500 70  } 71  } 72  }, 73  { 74  "key": "bmw", 75  "doc_count": 1, 76  "stats": { 77  "count": 1, 78  "min": 80000, 79  "max": 80000, 80  "avg": 80000, 81  "sum": 80000, 82  "sum_of_squares": 6400000000, 83  "variance": 0, 84  "std_deviation": 0, 85  "std_deviation_bounds": { 86  "upper": 80000, 87  "lower": 80000 88  } 89  } 90  } 91  ] 92  } 93  } 94 }