1.基础

    {
    “size” : 0,
    “aggs” : {
    “cate_agg” : {
    “terms” : {
    “field” : “cate_id”
    }
    }
    }
    }

    2.聚合求平均

    {
    “size” : 0,
    “aggs”: {
    “cate_agg”: {
    “terms”: {
    “field”: “cate_id”
    },
    “aggs”: {
    “cate_avg_price”: {
    “avg”: {
    “field”: “price”
    }
    }
    }
    }
    }
    }

    3.更深维度的聚合

    {
    “size”: 0,
    “aggs”: {
    “group_by_cate_id”: {
    “terms”: {
    “field”: “cate_id”
    },
    “aggs”: {
    “cate_avg_price”: {
    “avg”: {
    “field”: “price”
    }
    },
    “group_by_brand_id”: {
    “terms”: {
    “field”: “brand_id”
    },
    “aggs”: {
    “brand_avg_price”: {
    “avg”: {
    “field”: “price”
    }
    }
    }
    }
    }
    }
    }
    }

    4.求最大最小总和
    {
    “size” : 0,
    “aggs”: {
    “colors”: {
    “terms”: {
    “field”: “cate_id”
    },
    “aggs”: {
    “avg_price”: { “avg”: { “field”: “price” } },
    “min_price” : { “min”: { “field”: “price”} },
    “max_price” : { “max”: { “field”: “price”} },
    “sum_price” : { “sum”: { “field”: “price” } }
    }
    }
    }
    }

    5.histogram分组聚合

    {
    “size” : 0,
    “aggs”:{
    “price”:{
    “histogram”:{
    “field”: “price”,
    “interval”: 2000
    },
    “aggs”:{
    “revenue”: {
    “sum”: {
    “field” : “price”
    }
    }
    }
    }
    }
    }

    6.基于时间来聚合 date histogram

    {
    “size” : 0,
    “aggs”: {
    “sales”: {
    “date_histogram”: {
    “field”: “create_time”,
    “calendar_interval”: “month”,
    “format”: “yyyy-MM-dd”,
    “min_doc_count” : 0,
    “extended_bounds” : {
    “min” : “2019-01-01”,
    “max” : “2019-06-30”
    }
    }
    }
    }
    }

    7基于时间下钻分析
    下钻分析之统计每季度每个品牌的总量
    {
    “size”: 0,
    “aggs”: {
    “group_by_create_time”: {
    “date_histogram”: {
    “field”: “create_time”,
    “calendar_interval”: “quarter”,
    “format”: “yyyy-MM-dd”,
    “min_doc_count”: 0,
    “extended_bounds”: {
    “min”: “2019-01-01”,
    “max”: “2019-12-31”
    }
    },
    “aggs”: {
    “group_by_brand”: {
    “terms”: {
    “field”: “brand_id”
    },
    “aggs”: {
    “sum_price”: {
    “sum”: {
    “field”: “price”
    }
    }
    }
    },
    “total_sum_price”: {
    “sum”: {
    “field”: “price”
    }
    }
    }
    }
    }
    }

    9.每个品牌的销售额排序
    {
    “size”: 0,
    “aggs”: {
    “group_by_brand”: {
    “terms”: {
    “field”: “brand_id”,
    “order”: {
    “avg_sale”: “asc”
    }
    },
    “aggs”: {
    “avg_sale”: {
    “avg”: {
    “field”: “sale”
    }
    }
    }
    }
    }
    }

    每个分类下每个品牌 平均价格排序

    {
    “size”: 0,
    “aggs”: {
    “group_by_cate”: {
    “terms”: {
    “field”: “cate_id”
    },
    “aggs”: {
    “group_by_brand”: {
    “terms”: {
    “field”: “brand_id”,
    “order”: {
    “avg_price”: “desc”
    }
    },
    “aggs”: {
    “avg_price”: {
    “avg”: {
    “field”: “price”
    }
    }
    }
    }
    }
    }
    }
    }