1、需求一：计算每个tag下的商品数量
eg:
GET /ecommerce/product/_search
{
"aggs":{
"group_by_tags":{
"terms":{
"field":
"tags"}
}
}
}
将文本field的fielddata属性设置为
true
PUT /ecommerce/_mapping/product
{
"properties": {
"tags": {
"type":
"text",
"fielddata":
true
}
}
}
GET /ecommerce/product/_search
{
"size":
0,
"aggs": {
"all_tags": {
"terms": {
"field":
"tags" }
}
}
}
结果：
{
"took":
20,
"timed_out":
false,
"_shards": {
"total":
5,
"successful":
5,
"failed":
0
},
"hits": {
"total":
4,
"max_score":
0,
"hits": []
},
"aggregations": {
"group_by_tags": {
"doc_count_error_upper_bound":
0,
"sum_other_doc_count":
0,
"buckets": [
{
"key":
"fangzhu",
"doc_count":
2
},
{
"key":
"meibai",
"doc_count":
2
},
{
"key":
"qingxin",
"doc_count":
1
}
]
}
}
}
2、需求二：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": {
"all_tags": {
"terms": {
"field":
"tags"
}
}
}
}
3、需求三：先分组，再算每组的平均值，计算每个tag下的商品的平均价格
eg：
GET /ecommerce/product/_search
{
"size":
0,
"aggs" : {
"group_by_tags" : {
"terms" : {
"field" :
"tags" },
"aggs" : {
"avg_price" : {
"avg" : {
"field" :
"price" }
}
}
}
}
}
结果：
{
"took":
8,
"timed_out":
false,
"_shards": {
"total":
5,
"successful":
5,
"failed":
0
},
"hits": {
"total":
4,
"max_score":
0,
"hits": []
},
"aggregations": {
"group_by_tags": {
"doc_count_error_upper_bound":
0,
"sum_other_doc_count":
0,
"buckets": [
{
"key":
"fangzhu",
"doc_count":
2,
"avg_price": {
"value":
27.5
}
},
{
"key":
"meibai",
"doc_count":
2,
"avg_price": {
"value":
40
}
},
{
"key":
"qingxin",
"doc_count":
1,
"avg_price": {
"value":
40
}
}
]
}
}
}
4、需求四：计算每个tag下的商品的平均价格，并且按照平均价格降序排序
GET /ecommerce/product/_search
{
"size":
0,
"aggs" : {
"all_tags" : {
"terms" : {
"field" :
"tags",
"order": {
"avg_price":
"desc" } },
"aggs" : {
"avg_price" : {
"avg" : {
"field" :
"price" }
}
}
}
}
}
5、需求五：按照指定的价格范围区间进行分组，然后在每组内再按照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":
50
}
]
},
"aggs": {
"group_by_tags": {
"terms": {
"field":
"tags"
},
"aggs": {
"average_price": {
"avg": {
"field":
"price"
}
}
}
}
}
}
}
}
