先将文本 field
的 fielddata
属性设置为 true
- Elasticsearch 5.x 版本写法
PUT /ecommerce/_mapping/product
- Elasticsearch 7.x 版本写法
PUT /ecommerce/_mapping/product?include_type_name=true
{
"properties": {
"tags": {
"type": "text",
"fielddata": true
}
}
}
注意:
es
不同版本之间语法存在差异
计算每个商品tag
下的商品数量(分组求和)
GET /ecommerce/product/_search
{
"size": 0,
"aggs": {
"group_by_tags": {
"terms": {
"field": "tags"
}
}
}
}
size
控制元数据返回的数目,0 则不返回元数据
对名称中包含 yagao
的商品,计算每个 tag
下的商品数量
GET /ecommerce/product/_search
{
"size": 0,
"query": {
"match": {
"name": "yagao"
}
},
"aggs": {
"group_by_tags": {
"terms": {
"field": "tags"
}
}
}
}
计算每个 tag
下的商品平均价格
GET /ecommerce/product/_search
{
"size": 0,
"aggs": {
"group_by_tags": {
"terms": {
"field": "tags"
},
"aggs": {
"avg_price": {
"avg": {
"field": "price"
}
}
}
}
}
}
计算每个 tag
下的商品平均价格,并将结果按照平均价格降序排序
GET /ecommerce/product/_search
{
"size": 0,
"aggs": {
"group_by_tags": {
"terms": {
"field": "tags",
"order": {
"avg_price": "asc"
}
},
"aggs": {
"avg_price": {
"avg": {
"field": "price"
}
}
}
}
}
}
按照指定的价格范围区间进行分组,然后在每组内在按照tag进行分组,最后再计算每组的平均价格
GET /ecommerce/product/_search
{
"size": 0,
"aggs": {
"group_by_price": {
"range": {
"field": "price",
"ranges": [
{
"from": 0,
"to": 20
},
{
"from": 20,
"to": 40
},
{
"from": 40,
"to": 60
}
]
},
"aggs": {
"group_by_tags": {
"terms": {
"field": "tags"
},
"aggs": {
"avg_price": {
"avg": {
"field": "price"
}
}
}
}
}
}
}
}