Elasticsearch 聚合
时间:2018/1/2 17:01:34
参考:
环境:
- 系统版本:Win10 64位
- Elasticsearch版本:6.0.0
聚合#
统计信息如评分的平均数、中位数和最大值等聚合函数。用于数据分析。
桶(buckets):满足特定条件的文档的集合。 桶支持嵌套,比如:
国家 -> 城市 -> 性别 -> 年龄
指标(Metrics):对桶内文档进行统计计算。
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简单搜索例子#
构造数据#
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如果索引存在删除索引,也可以用其它的名字
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DELETE cars
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指定color数据类型
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PUT /cars { "mappings": { "transactions": { "properties": { "color": { "type":"keyword" }, "make":{ "type": "keyword" } } } } }
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初始化数据
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" }
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查询每种颜色的汽车的数量
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GET /cars/transactions/_search { "size" : 0, "aggs" : { "popular_colors" : { "terms" : { "field" : "color" } } } }
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查询结果如下:
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{ "took": 0, "timed_out": false, "_shards": { "total": 5, "successful": 5, "skipped": 0, "failed": 0 }, "hits": { "total": 8, "max_score": 0, "hits": [] }, "aggregations": { "popular_colors": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "red", "doc_count": 4 }, { "key": "blue", "doc_count": 2 }, { "key": "green", "doc_count": 2 } ] } } }
- 查询每种颜色的汽车的平均价格:
GET /cars/transactions/_search { "size" : 0, "aggs": { "colors": { "terms": { "field": "color" }, "aggs": { "avg_price": { "avg": { "field": "price" } } } } } }
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查询结果如下:
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{ "took": 11, "timed_out": false, "_shards": { "total": 5, "successful": 5, "skipped": 0, "failed": 0 }, "hits": { "total": 8, "max_score": 0, "hits": [] }, "aggregations": { "colors": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "red", "doc_count": 4, "avg_price": { "value": 32500 } }, { "key": "blue", "doc_count": 2, "avg_price": { "value": 20000 } }, { "key": "green", "doc_count": 2, "avg_price": { "value": 21000 } } ] } } }
- 嵌套桶,查询每种颜色的汽车的平均价格,以及每种颜色里属于不同汽车制造商的汽车的数量。
GET /cars/transactions/_search { "size" : 0, "aggs": { "colors": { "terms": { "field": "color" }, "aggs": { "avg_price": { "avg": { "field": "price" } }, "make": { "terms": { "field": "make" } } } } } } * 查询结果:
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{ "took": 1, "timed_out": false, "_shards": { "total": 5, "successful": 5, "skipped": 0, "failed": 0 }, "hits": { "total": 8, "max_score": 0, "hits": [] }, "aggregations": { "colors": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "red", "doc_count": 4, "avg_price": { "value": 32500 }, "make": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "honda", "doc_count": 3 }, { "key": "bmw", "doc_count": 1 } ] } }, { "key": "blue", "doc_count": 2, "avg_price": { "value": 20000 }, "make": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "ford", "doc_count": 1 }, { "key": "toyota", "doc_count": 1 } ] } }, { "key": "green", "doc_count": 2, "avg_price": { "value": 21000 }, "make": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "ford", "doc_count": 1 }, { "key": "toyota", "doc_count": 1 } ] } } ] } } }
- 嵌套桶,查询每种颜色的汽车的平均价格,以及每种颜色里属于不同汽车制造商的汽车的数量,并计算每个制造商的最高最低价格。
GET /cars/transactions/_search { "size" : 0, "aggs": { "colors": { "terms": { "field": "color" }, "aggs": { "avg_price": { "avg": { "field": "price" } }, "make" : { "terms" : { "field" : "make" }, "aggs" : { "min_price" : { "min": { "field": "price"} }, "max_price" : { "max": { "field": "price"} } } } } } } }
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查询结果:
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"aggregations": { "colors": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "red", "doc_count": 4, "avg_price": { "value": 32500 }, "make": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "honda", "doc_count": 3, "max_price": { "value": 20000 }, "min_price": { "value": 10000 } }, { "key": "bmw", "doc_count": 1, "max_price": { "value": 80000 }, "min_price": { "value": 80000 } } ] } } ... ...
- 条形图,统计每个价格区间内的价格总和,价格间隔为 20000。
GET /cars/transactions/_search { "size" : 0, "aggs":{ "price":{ "histogram":{ "field": "price", "interval": 20000 }, "aggs":{ "revenue": { "sum": { "field" : "price" } } } } } } 9. 日期聚合查询,查询每月销售汽车的数量
GET /cars/transactions/_search { "size" : 0, "aggs": { "sales": { "date_histogram": { "field": "sold", "interval": "month", "format": "yyyy-MM-dd" } } } } 10. 日期聚合查询,返回整年的数据
extended_bounds
。GET /cars/transactions/_search { "size" : 0, "aggs": { "sales": { "date_histogram": { "field": "sold", "interval": "month", "format": "yyyy-MM-dd", "min_doc_count" : 0, "extended_bounds" : { "min" : "2014-01-01", "max" : "2014-12-31" } } } } } 11. 先按季度,然后按品牌计算销售总额。
GET /cars/transactions/_search { "size" : 0, "aggs": { "sales": { "date_histogram": { "field": "sold", "interval": "quarter", "format": "yyyy-MM-dd", "min_doc_count" : 0, "extended_bounds" : { "min" : "2014-01-01", "max" : "2014-12-31" } }, "aggs": { "per_make_sum": { "terms": { "field": "make" }, "aggs": { "sum_price": { "sum": { "field": "price" } } } }, "total_sum": { "sum": { "field": "price" } } } } } }
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