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ElasticSearch-聚合metric

ElasticSearch-聚合metric

作者: 壹点零 | 来源:发表于2017-11-17 17:14 被阅读0次
    DELETE cars
    PUT cars
    {
      "mappings": {
        "transactions": {
          "properties": {
            "price": {
              "type":"long"
            },
            "color": {
              "type":"keyword"
            },
            "make": {
              "type":"keyword"
            },
            "sold": {
              "type":"date"
            }
          }
        }
      }
    }
    
    POST /cars/transactions/_bulk
    { "index": {}}
    { "price" : 10000, "color" : "red", "make" : "honda", "sold" : "2014-10-28" }
    { "index": {}}
    { "price" : 20000, "color" : "red", "make" : "honda", "sold" : "2014-11-05" }
    { "index": {}}
    { "price" : 30000, "color" : "green", "make" : "ford", "sold" : "2014-05-18" }
    { "index": {}}
    { "price" : 15000, "color" : "blue", "make" : "toyota", "sold" : "2014-07-02" }
    { "index": {}}
    { "price" : 12000, "color" : "green", "make" : "toyota", "sold" : "2014-08-19" }
    { "index": {}}
    { "price" : 20000, "color" : "red", "make" : "honda", "sold" : "2014-11-05" }
    { "index": {}}
    { "price" : 80000, "color" : "red", "make" : "bmw", "sold" : "2014-01-01" }
    { "index": {}}
    { "price" : 25000, "color" : "blue", "make" : "ford", "sold" : "2014-02-12" }
    

    ----------Cardinality Aggregation-------

    查看有多少种制造商

    POST /cars/transactions/_search?size=0
    {
        "aggs" : {
            "make_count" : {
                "cardinality" : {
                    "field" : "make"
                }
            }
        }
    }
    

    ----------Avg Aggregation-------

    计算平均值

    POST /cars/transactions/_search?size=0
    {
      "aggs": {
        "avg_price": {
          "avg": {
            "field": "price"
          }
        }
      }
    }
    

    使用脚本

    POST /cars/transactions/_search?size=0
    {
        "aggs" : {
            "avg_price" : {
                "avg" : {
                    "script" : {
                        "inline" : "doc.price.value"
                    }
                }
            }
        }
    }
    

    使用脚本修改计算值

    POST /cars/transactions/_search?size=0
    {
        "aggs" : {
            "avg_fix_price" : {
                "avg" : {
                    "field" : "price",
                    "script" : {
                        "lang": "painless",
                        "inline": "_value * params.fix",
                        "params" : {
                            "fix" : 1.2
                        }
                    }
                }
            }
        }
    }
    

    ----------Max Aggregation-------

    计算最大值

    POST /cars/transactions/_search?size=0
    {
      "aggs": {
        "max_price": {
          "max": {
            "field": "price"
          }
        }
      }
    }
    

    使用脚本

    POST /cars/transactions/_search?size=0
    {
        "aggs" : {
            "max_price" : {
                "max" : {
                    "script" : {
                        "inline" : "doc.price.value"
                    }
                }
            }
        }
    }
    

    使用脚本修改计算值

    POST /cars/transactions/_search?size=0
    {
        "aggs" : {
            "max_price_rmb" : {
                "max" : {
                    "field" : "price",
                    "script" : {
                        "lang": "painless",
                        "inline": "_value * params.rate",
                        "params" : {
                            "rate" : 6.78
                        }
                    }
                }
            }
        }
    }
    

    ----------Min Aggregation-------

    计算最小值

    POST /cars/transactions/_search?size=0
    {
      "aggs": {
        "min_price": {
          "min": {
            "field": "price"
          }
        }
      }
    }
    

    使用脚本方式同max(略)

    ----------Sum Aggregation-------

    计算求和

    POST /cars/transactions/_search?size=0
    {
      "aggs": {
        "sum_price": {
          "sum": {
            "field": "price"
          }
        }
      }
    }
    

    ----------Stats Aggregation-------

    统计函数,直接计算count、min。max、avg、sum

    POST /cars/transactions/_search?size=0
    {
      "aggs": {
        "price_stats": {
          "stats": {
            "field": "price"
          }
        }
      }
    }
    

    使用脚本

    POST /cars/transactions/_search?size=0
    {
        "aggs" : {
            "price_stats" : {
                "stats" : {
                    "script" : {
                        "inline" : "doc.price.value"
                    }
                }
            }
        }
    }
    

    使用脚本修改计算值

    POST /cars/transactions/_search?size=0
    {
        "aggs" : {
            "price_stats" : {
                "stats" : {
                    "field" : "price",
                    "script" : {
                        "lang": "painless",
                        "inline": "_value * params.rate",
                        "params" : {
                            "rate" : 6.78
                        }
                    }
                }
            }
        }
    }
    

    ----------Percentiles Aggregation-------

    DELETE website
    PUT website
    {
      "mappings": {
        "logs": {
          "properties": {
            "latency": {
              "type":"long"
            },
            "zone": {
              "type":"keyword"
            },
            "timestamp": {
              "type":"date"
            }
          }
        }
      }
    }
    
    POST /website/logs/_bulk
    { "index": {}}
    { "latency" : 100, "zone" : "US", "timestamp" : "2014-10-28" }
    { "index": {}}
    { "latency" : 80, "zone" : "US", "timestamp" : "2014-10-29" }
    { "index": {}}
    { "latency" : 99, "zone" : "US", "timestamp" : "2014-10-29" }
    { "index": {}}
    { "latency" : 102, "zone" : "US", "timestamp" : "2014-10-28" }
    { "index": {}}
    { "latency" : 75, "zone" : "US", "timestamp" : "2014-10-28" }
    { "index": {}}
    { "latency" : 82, "zone" : "US", "timestamp" : "2014-10-29" }
    { "index": {}}
    { "latency" : 100, "zone" : "EU", "timestamp" : "2014-10-28" }
    { "index": {}}
    { "latency" : 280, "zone" : "EU", "timestamp" : "2014-10-29" }
    { "index": {}}
    { "latency" : 155, "zone" : "EU", "timestamp" : "2014-10-29" }
    { "index": {}}
    { "latency" : 623, "zone" : "EU", "timestamp" : "2014-10-28" }
    { "index": {}}
    { "latency" : 380, "zone" : "EU", "timestamp" : "2014-10-28" }
    { "index": {}}
    { "latency" : 319, "zone" : "EU", "timestamp" : "2014-10-29" }
    

    查看百分位时间

    默认百分比[ 1, 5, 25, 50, 75, 95, 99 ]

    GET /website/logs/_search
    {
        "size" : 0,
        "aggs" : {
            "load_times" : {
                "percentiles" : {
                    "field" : "latency" 
                }
            }
        }
    }
    

    查看百分位时间,自定义百分比

    GET /website/logs/_search
    {
        "size" : 0,
        "aggs" : {
            "load_times" : {
                "percentiles" : {
                    "field" : "latency",
                    "percents" : [95, 99, 99.9]
                }
            }
        }
    }
    

    百分位使用脚本

    GET /website/logs/_search
    {
        "size" : 0,
        "aggs" : {
            "load_times" : {
                "percentiles" : {
                    "script" : {
                        "lang": "painless",
                        "inline": "doc['latency'].value / params.timeUnit", 
                        "params" : {
                            "timeUnit" : 1000
                        }
                    }
                }
            }
        }
    }
    

    ----------Percentile Ranks Aggregation-------

    查看某一个值属于哪个百分位(percentile_ranks)

    GET /website/logs/_search
    {
      "size": 0,
      "aggs": {
        "zones": {
          "percentile_ranks": {
            "field": "latency",
            "values": [210,800]
          }
        }
      }
    }
    

    ----------Geo Bounds Aggregation-------

    DELETE /museums
    PUT /museums
    {
        "mappings": {
            "doc": {
                "properties": {
                    "location": {
                        "type": "geo_point"
                    }
                }
            }
        }
    }
    
    POST /museums/doc/_bulk?refresh
    {"index":{"_id":1}}
    {"location": "52.374081,4.912350", "name": "NEMO Science Museum"}
    {"index":{"_id":2}}
    {"location": "52.369219,4.901618", "name": "Museum Het Rembrandthuis"}
    {"index":{"_id":3}}
    {"location": "52.371667,4.914722", "name": "Nederlands Scheepvaartmuseum"}
    {"index":{"_id":4}}
    {"location": "51.222900,4.405200", "name": "Letterenhuis"}
    {"index":{"_id":5}}
    {"location": "48.861111,2.336389", "name": "Musée du Louvre"}
    {"index":{"_id":6}}
    {"location": "48.860000,2.327000", "name": "Musée d'Orsay"}
    

    计算搜索匹配到的所有地理坐标点最大的边框

    POST /museums/_search?size=0
    {
        "query" : {
            "match" : { "name" : "musée" }
        },
        "aggs" : {
            "viewport" : {
                "geo_bounds" : {
                    "field" : "location", 
                    "wrap_longitude" : true 
                }
            }
        }
    }
    

    ----------Geo Centroid Aggregation-------

    计算搜索匹配到的所有地理坐标点的中心点

    POST /museums/_search?size=0
    {
        "aggs" : {
            "centroid" : {
                "geo_centroid" : {
                    "field" : "location" 
                }
            }
        }
    }
    

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