第一個分析需求:計算每一個tag下的商品數量java
GET /ecommerce/product/_search
{
"aggs": {
"group_by_tags": {
"terms": { "field": "tags" }
}
}
}編程
將文本field的fielddata屬性設置爲trueapi
PUT /ecommerce/_mapping/product
{
"properties": {
"tags": {
"type": "text",
"fielddata": true
}
}
}restful
GET /ecommerce/product/_search
{
"size": 0,
"aggs": {
"all_tags": {
"terms": { "field": "tags" }
}
}
}app
{
"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
}
]
}
}
}編程語言
----------------------------------------------------------------------------------------------------------------學習
第二個聚合分析的需求:對名稱中包含yagao的商品,計算每一個tag下的商品數量rest
GET /ecommerce/product/_search
{
"size": 0,
"query": {
"match": {
"name": "yagao"
}
},
"aggs": {
"all_tags": {
"terms": {
"field": "tags"
}
}
}
}排序
----------------------------------------------------------------------------------------------------------------開發
第三個聚合分析的需求:先分組,再算每組的平均值,計算每一個tag下的商品的平均價格
GET /ecommerce/product/_search
{
"size": 0,
"aggs" : {
"group_by_tags" : {
"terms" : { "field" : "tags" },
"aggs" : {
"avg_price" : {
"avg" : { "field" : "price" }
}
}
}
}
}
{
"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
}
}
]
}
}
}
----------------------------------------------------------------------------------------------------------------
第四個數據分析需求:計算每一個tag下的商品的平均價格,而且按照平均價格降序排序
GET /ecommerce/product/_search
{
"size": 0,
"aggs" : {
"all_tags" : {
"terms" : { "field" : "tags", "order": { "avg_price": "desc" } },
"aggs" : {
"avg_price" : {
"avg" : { "field" : "price" }
}
}
}
}
}
咱們如今所有都是用es的restful api在學習和講解es的所欲知識點和功能點,可是沒有使用一些編程語言去講解(好比java),緣由有如下:
一、es最重要的api,讓咱們進行各類嘗試、學習甚至在某些環境下進行使用的api,就是restful api。若是你學習不用es restful api,好比我上來就用java api來說es,也是能夠的,可是你根本就漏掉了es知識的一大塊,你都不知道它最重要的restful api是怎麼用的
二、講知識點,用es restful api,更加方便,快捷,不用每次都寫大量的java代碼,能加快講課的效率和速度,更加易於同窗們關注es自己的知識和功能的學習
三、咱們一般會講完es知識點後,開始詳細講解java api,如何用java api執行各類操做
四、咱們每一個篇章都會搭配一個項目實戰,項目實戰是徹底基於java去開發的真實項目和系統
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第五個數據分析需求:按照指定的價格範圍區間進行分組,而後在每組內再按照tag進行分組,最後再計算每組的平均價格
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" } } } } } } } }