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聚合查询-指标聚合

聚合查询-指标聚合

作者: __________Yy | 来源:发表于2019-11-22 14:07 被阅读0次
    1.avg 平均
    localhost:9200/account/_search
    {                                                             
        "aggs":{  
            "avg_id":{      自定义名字
                "avg":{     关键字
                    "field":"id"   字段
                }
            }
        },
          "size":0
    }
    

    结果:

    {
        "took": 15,
        "timed_out": false,
        "_shards": {
            "total": 1,
            "successful": 1,
            "skipped": 0,
            "failed": 0
        },
        "hits": {
            "total": {
                "value": 990,
                "relation": "eq"
            },
            "max_score": null,
            "hits": []
        },
        "aggregations": {
            "avg_id": {
                "value": 496.7030303030303
            }
        }
    }
    
    2.cardinality 基数

    相当于sql group by之后的总条数

    {
        "aggs" : {
            "type_count" : {
                "cardinality" : {
                    "field" : "id"
                }
            }
        },
        "size":0
    }
    
    
    3.extended_stats 扩展统计

    返回max min avg count sum sum_of_squares variance(方差) std_deviation(偏差) std_deviation_bounds(偏差边界,平均值+-两个偏差)

    {
        "size": 0,
        "aggs": {
            "e-stats": {
                "extended_stats": {
                    "field": "id"
                }
            }
        }
    }
    {
        ...
    
        "aggregations": {
            "grades_stats": {
               "count": 2,
               "min": 50.0,
               "max": 100.0,
               "avg": 75.0,
               "sum": 150.0,
               "sum_of_squares": 12500.0,
               "variance": 625.0,
               "std_deviation": 25.0,
               "std_deviation_bounds": {
                "upper": 125.0,
                "lower": 25.0
               }
            }
        }
    }
    
    4.max 最大
    {
        "aggs": {
            "max_id": {
                "max": {
                    "field": "id"
                }
            }
        },
        "size":0
    }
    
    5.min 最小
    {
        "aggs": {
            "min_id": {
                "min": {
                    "field": "id"
                }
            }
        },
        "size":0
    }
    
    6.percentiles 百分位
    评估当前数值分布情况
    在对应百分位的值,默认【1,5,25,50,75,95,99】
    {
        "aggs": {
            "max_id": {
                "percentiles": {
                    "field": "num",
                    "percents":[10]  //返回特定百分位的值
                }
            }
        },
        "size":0
    }
    
    7.percentile_ranks 百分位排名
    当前数值中处于哪一个范围内,查它的 rank,发现是100,那么说明有100%的数值都在10以内。
    {
        "aggs": {
            "max_id": {
                "percentile_ranks ": {
                    "field": "num", 
                    "values":[10,50]  //返回特定百分位的值
                }
            }
        },
        "size":0
    }
    
    8.stats 统计
    返回 min  max  sum  count  avg 
    {
        "aggs": {
            "min_id": {
                "stats": {
                    "field": "num"
                }
            }
        },
        "size":0
    }
    
    9.sum 求和
    {
        "aggs": {
            "max_id": {
                "sum": {
                    "field": "num"
                }
            }
        },
        "size":0
    }
    
    10.value_count 个数统计
    {
        "aggs": {
            "max_id": {
                "sum": {
                    "field": "num"
                }
            }
        },
        "size":0
    }
    

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