本文基于ES 聚合查询基础编写,测试数据的构建在ES 聚合查询中查找.
1、_key排序
按每个桶的键值数值排序
代码语言：javascript复制GET food/_search
{
"size": 0,
"aggs": {
"tags_agg": {
"terms": {
"field": "Tags.keyword",
"size": 30,//查询多少条结果
"order": {
"_key": "desc"//键值数值排序
}
}
}
}
}搜索结果如下:
代码语言：javascript复制{
"took" : 2,
"timed_out" : false,
"_shards" : {
"total" : 3,
"successful" : 3,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 6,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"aggregations" : {
"tags_agg" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "非常好吃",
"doc_count" : 1
},
{
"key" : "进口",
"doc_count" : 1
},
{
"key" : "超级贵",
"doc_count" : 1
},
{
"key" : "贵",
"doc_count" : 1
},
{
"key" : "营养价值高",
"doc_count" : 1
},
{
"key" : "营养",
"doc_count" : 3
},
{
"key" : "绿色蔬菜",
"doc_count" : 2
},
{
"key" : "白色蔬菜",
"doc_count" : 1
},
{
"key" : "水果",
"doc_count" : 3
},
{
"key" : "有点贵",
"doc_count" : 1
},
{
"key" : "易种植",
"doc_count" : 1
},
{
"key" : "性价比",
"doc_count" : 2
},
{
"key" : "好吃",
"doc_count" : 1
},
{
"key" : "国外",
"doc_count" : 1
},
{
"key" : "便宜",
"doc_count" : 1
}
]
}
}
}2、_count排序
按照每个桶的数量进行排序
代码语言：javascript复制GET food/_search
{
"size": 0,
"aggs": {
"tags_agg": {
"terms": {
"field": "Tags.keyword",
"size": 30,//查询多少条结果
"order": {
"_count": "desc" //按照每个桶的数量降序排序
}
}
}
}
}搜索结果如下:
代码语言：javascript复制{
"took" : 3,
"timed_out" : false,
"_shards" : {
"total" : 3,
"successful" : 3,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 6,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"aggregations" : {
"tags_agg" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "水果",
"doc_count" : 3
},
{
"key" : "营养",
"doc_count" : 3
},
{
"key" : "性价比",
"doc_count" : 2
},
{
"key" : "绿色蔬菜",
"doc_count" : 2
},
{
"key" : "便宜",
"doc_count" : 1
},
{
"key" : "国外",
"doc_count" : 1
},
{
"key" : "好吃",
"doc_count" : 1
},
{
"key" : "易种植",
"doc_count" : 1
},
{
"key" : "有点贵",
"doc_count" : 1
},
{
"key" : "白色蔬菜",
"doc_count" : 1
},
{
"key" : "营养价值高",
"doc_count" : 1
},
{
"key" : "贵",
"doc_count" : 1
},
{
"key" : "超级贵",
"doc_count" : 1
},
{
"key" : "进口",
"doc_count" : 1
},
{
"key" : "非常好吃",
"doc_count" : 1
}
]
}
}
}3、多级聚合排序
现在需要对食物类型进行降序排序,每种食物类型按照食物品级进行降序排序,代码如下:
代码语言：javascript复制GET food/_search
{
"size": 0,
"aggs": {
"type_bucket": {
"terms": {
"field": "Type.keyword",
"order": {
"_count": "desc"
}
},
"aggs": {
"level_bucket": {
"terms": {
"field": "Level.keyword",
"order": {
"_count": "desc"
}
}
}
}
}
}
}搜索结果如下:
代码语言：javascript复制{
"took" : 396,
"timed_out" : false,
"_shards" : {
"total" : 3,
"successful" : 3,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 7,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"aggregations" : {
"type_bucket" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "水果",
"doc_count" : 4,
"level_bucket" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "高级水果",
"doc_count" : 3
},
{
"key" : "普通水果",
"doc_count" : 1
}
]
}
},
{
"key" : "蔬菜",
"doc_count" : 3,
"level_bucket" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "普通蔬菜",
"doc_count" : 2
},
{
"key" : "中等蔬菜",
"doc_count" : 1
}
]
}
}
]
}
}
}首先按照食物的类型进行降序排序,第一级的分桶确实是按照数量进行排序的,所以是对的,然后在食物类型的基础上分别统计食物的品级.可以各个类型的第二级分桶也是按照数量进行降序排序的,也是对的.
4、深层嵌套排序
现在需要统计各个食物类型的分桶数量,排序的依据是各个食物类型的食物的最大值进行降序排序
代码语言：javascript复制GET food/_search
{
"size": 0,
"aggs": {
"type_aggs": {
"terms": {
"field": "Type.keyword",
"order": {
"aggs_stats.max": "desc"
}
},
"aggs": {
"aggs_stats":{
"stats": {
"field": "Price"
}
}
}
}
}
}搜索结果如下:
代码语言：javascript复制{
"took" : 3,
"timed_out" : false,
"_shards" : {
"total" : 3,
"successful" : 3,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 7,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"aggregations" : {
"type_aggs" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "水果",
"doc_count" : 4,
"aggs_stats" : {
"count" : 4,
"min" : 11.109999656677246,
"max" : 300.1099853515625,
"avg" : 127.85999655723572,
"sum" : 511.43998622894287
}
},
{
"key" : "蔬菜",
"doc_count" : 3,
"aggs_stats" : {
"count" : 3,
"min" : 11.109999656677246,
"max" : 66.11000061035156,
"avg" : 29.77666664123535,
"sum" : 89.32999992370605
}
}
]
}
}
}接下去在对价格进行过滤,然后在统计,代码如下:
代码语言：javascript复制GET food/_search
{
"size": 0,
"aggs": {
"type_aggs": {
"terms": {
"field": "Type.keyword",
"order": {
"price_aggs>stats_aggs.min": "asc"
}
},
"aggs": {
"price_aggs":{
//过滤部分数据,不进行指标聚合,这里相当于没有操作
"filter": {
"terms": {
"Type.keyword": ["蔬菜","水果"]
}
},
"aggs": {
"stats_aggs": {
"stats": {
"field": "Price"
}
}
}
}
}
}
}
}搜索结果如下:
代码语言：javascript复制{
"took" : 4,
"timed_out" : false,
"_shards" : {
"total" : 3,
"successful" : 3,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 7,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"aggregations" : {
"type_aggs" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "水果",
"doc_count" : 4,
"price_aggs" : {
"doc_count" : 4,
"stats_aggs" : {
"count" : 4,
"min" : 11.109999656677246,
"max" : 300.1099853515625,
"avg" : 127.85999655723572,
"sum" : 511.43998622894287
}
}
},
{
"key" : "蔬菜",
"doc_count" : 3,
"price_aggs" : {
"doc_count" : 3,
"stats_aggs" : {
"count" : 3,
"min" : 11.109999656677246,
"max" : 66.11000061035156,
"avg" : 29.77666664123535,
"sum" : 89.32999992370605
}
}
}
]
}
}
}
