手机端企业网站源码下载,视频网站建设的意义论文,包头移动的网站建设,赣州网联科技有限公司文章目录聚合分组求和平均值分析每种颜色下每种品牌的平均价格更多的metric学习Cardinality(唯一值)查询聚合分析查询聚合全局聚合 深入聚合数据分析_global bucket#xff1a;单个品牌与所有品牌销量对比过滤聚合#xff1a;统计价格大于1200的电视平均价格统计最近一个月的…
文章目录聚合分组求和平均值分析每种颜色下每种品牌的平均价格更多的metric学习Cardinality(唯一值)查询聚合分析查询聚合全局聚合 深入聚合数据分析_global bucket单个品牌与所有品牌销量对比过滤聚合统计价格大于1200的电视平均价格统计最近一个月的平均价格按照每种品牌的平均价格排序聚合分组
select * from table group by title.keyword
{size: 0,aggs: {group_name: {terms: {field: title.keyword}}}
}解释 size:0 表示只展示聚合结果不展示原始数据 aggs表示聚合的操作符 group_name给聚合操作取名 terms:根据字段的值进行分组 field:根据指定的字段值进行分组 求和
按照title分组求和 select sum(price) from table group by title.
{size: 0,aggs: {group_name: {terms: {field: title.keyword},aggs:{sum_price:{sum:{field:price}}}}}
}平均值
select avg(price) from table group by title.
{size: 0,aggs: {group_name: {terms: {field: title.keyword},aggs:{avg_price:{avg:{field:price}}}}}
}分析每种颜色下每种品牌的平均价格
{size: 0,aggs: {group_name: {terms: {field: color.keyword},aggs: {group_by_brand: {terms: {field: brand.keyword},aggs: {avg_price_by_color: {avg: {field: price}}}}}}}
}更多的metric学习
{size: 0,aggs: {group_name: {terms: {field: color.keyword},aggs: {avg_price: {avg: {field: price}},sum_price: {sum: {field: price}},max_price: {max: {field: price}},min_max: {min: {field: price}}}}}
}输出 took: 66,timed_out: false,_shards: {total: 1,successful: 1,skipped: 0,failed: 0},hits: {total: {value: 3,relation: eq},max_score: null,hits: []},aggregations: {group_name: {doc_count_error_upper_bound: 0,sum_other_doc_count: 0,buckets: [{key: white,doc_count: 2,max_price: {value: 5500},min_max: {value: 4500},avg_price: {value: 5000},sum_price: {value: 10000}},{key: blue,doc_count: 1,max_price: {value: 4000},min_max: {value: 4000},avg_price: {value: 4000},sum_price: {value: 4000}}]}}
}一般来说90%的常见的数据分析的操作metric无非就是countavgmaxminsum Cardinality(唯一值)
cardinality 即去重计算类似sql中 countdistinct先去重再求和计算指定field值的种类数。
{size: 0,aggs: {cartinality_gender: {cardinality: {field: city.keyword}}}
}输出
{took: 2,timed_out: false,_shards: {total: 5,successful: 5,skipped: 0,failed: 0},hits: {total: 15,max_score: 0,hits: []},aggregations: {cartinality_gender: {value: 15}}
}## stats 一个聚合输出多值
java
{size: 0,aggs: {stats_price: {stats: {field: price}}}
}{took: 3,timed_out: false,_shards: {total: 1,successful: 1,skipped: 0,failed: 0},hits: {total: {value: 3,relation: eq},max_score: null,hits: []},aggregations: {stats_price: {count: 3,min: 4000,max: 5500,avg: 4666.666666666667,sum: 14000}}
}查询聚合分析
{query:{match:{title:神州}},aggs:{sum_price:{sum:{field:price}}}
}输出 took: 54,timed_out: false,_shards: {total: 1,successful: 1,skipped: 0,failed: 0},hits: {total: {value: 2,relation: eq},max_score: 0.9983525,hits: [{_index: aggs_index,_type: _doc,_id: 5,_score: 0.9983525,_source: {brand: huashuo,color: white,price: 5500,title: 神州}},{_index: aggs_index,_type: _doc,_id: 6,_score: 0.8416345,_source: {brand: dell,color: white,price: 4500,title: 神州dell}}]},aggregations: {sum_price: {value: 10000}}
}查询聚合全局聚合 深入聚合数据分析_global bucket单个品牌与所有品牌销量对比
global就是global bucket就是将所有数据纳入聚合的scope而不管之前的query
{query: {match: {title: 神州}},aggs: {sum_price: {sum: {field: price}},all: {global: {},aggs: {all_sum_price: {sum: {field: price}}}}}
}输出
{query: {match: {title: 神州}},aggs: {sum_price: {sum: {field: price}},all: {global: {},aggs: {all_sum_price: {sum: {field: price}}}}}
}过滤聚合统计价格大于1200的电视平均价格
{size: 0,query: {constant_score: {filter: {range: {price: {gte: 1200}}}}},aggs: {avg_price: {avg: {field: price}}}
}统计最近一个月的平均价格
{size: 0,query: {term: {brand: {value: 长虹}}},aggs: {recent_150d: {filter: {range: {sold_date: {gte: now-150d}}},aggs: {recent_150d_avg_price: {avg: {field: price}}}},recent_140d: {filter: {range: {sold_date: {gte: now-140d}}},aggs: {recent_140d_avg_price: {avg: {field: price}}}},recent_130d: {filter: {range: {sold_date: {gte: now-130d}}},aggs: {recent_130d_avg_price: {avg: {field: price}}}}}
}
按照每种品牌的平均价格排序
{size: 0,aggs: {group_by_color: {terms: {field: brand.keyword,order:{avg_price:desc}},aggs: {avg_price: {avg: {field: price}}}}}
}
