聚合统计
度量聚合:求字段的平均值,最小值,最大值,总和等
桶聚合:将文档分成不同的桶,桶的划分可以根据字段的值,范围,日期间隔
管道聚合:在桶聚合的结果上执行进一步计算
进行聚合的语法如下
{
"aggs": {
"<agg_name>": {
"<agg_type>": {
"field": "<field_name>"
}
}
}
}
聚合也可以进行嵌套
{
"aggs": {
"<agg_name>": {
"<agg_type>": {
"field": "<field_name>"
},
"aggs": {
"<agg_child_name>": {
"<agg_type>": {
"field": "<field_name>"
}
}
}
}
}
}
度量聚合(Metrics aggregations)
平均值聚合
聚集被命名为 avg_age
POST user/_search
{
"query": {
"match_all": {
}
},
"aggs": {
"avg_age": {
"avg": {
"field": "age"}}}
}
最小值 / 最大值 聚合
POST user/_search
{
"query": {
"match_all": {
}
},
"aggs": {
"max_age": {
"max": {
"field": "age"}}}
}
POST user/_search
{
"query": {
"match_all": {
}
},
"aggs": {
"min_age": {
"min": {
"field": "age"}}}
}
求和聚合
POST user/_search
{
"query": {
"match_all": {
}
},
"aggs": {
"sum_age": {
"sum": {
"field": "age"}}}
}
桶聚合(Bucket aggregations)
词条聚合(Terms aggregation)
按照某个字段的值进行聚合
POST user/_search
{
"query": {
"match_all": {
}
},
"aggs": {
"group_by_age": {
"terms": {
"field": "age"}}}
}
范围聚合(Range aggregation)
按照某个字段的范围进行聚合,from提供区间下界(包括),to提供区间上界(不包括)
POST user/_search
{
"query": {
"match_all": {
}
},
"aggs": {
"age_ranges":{
"range": {
"field": "age",
"ranges": [
{
"to": 10 },
{
"from": 10, "to": 20 },
{
"from": 20 }
]
}
}
}
}
管道聚合(Pipeline aggregations)
平均桶聚合(Average bucket aggregation)
POST user/_search
{
"query": {
"match_all": {
}
},
"aggs": {
"age_ranges": {
"range": {
"field": "age",
"ranges": [
{
"to": 10 }, {
"from": 10, "to": 20 }, {
"from": 20 }
]
},
"aggs": {
"age_avg": {
"avg": {
"field": "age"}}
}
},
"range_avg": {
"avg_bucket": {
"buckets_path": "age_ranges>age_avg"}
}
}
}
对年龄分组,并求分组后的平均值,然后对分组的平均值再求平均值
求和桶聚集(Sum bucket aggregation)
POST user/_search
{
"query": {
"match_all": {
}
},
"aggs": {
"age_ranges": {
"range": {
"field": "age",
"ranges": [
{
"to": 10 }, {
"from": 10, "to": 20 }, {
"from": 20 }
]
},
"aggs": {
"age_sum": {
"sum": {
"field": "age"} }
}
},
"range_sum": {
"sum_bucket": {
"buckets_path": "age_ranges>age_sum" }
}
}
}
对年龄分组,并求分组后的和,然后对分组的和再求和
参考博客
[1]https://www.elastic.co/guide/en/elasticsearch/reference/8.11/search-aggregations.html
[2]https://juejin.cn/post/7103514121642983455