Elasticsearch學習七

時間 2019-11-26

原文原文鏈接

一、query string search
二、query DSL
三、query filter
四、full-text search
五、phrase search
六、highlight searchjavascript

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把英文翻譯成中文，讓我以爲很彆扭，term，詞項linux

一、query string searchshell

搜索所有商品：GET /ecommerce/product/_searchjson

took：耗費了幾毫秒
timed_out：是否超時，這裏是沒有
_shards：數據拆成了5個分片，因此對於搜索請求，會打到全部的primary shard（或者是它的某個replica shard也能夠）
hits.total：查詢結果的數量，3個document
hits.max_score：score的含義，就是document對於一個search的相關度的匹配分數，越相關，就越匹配，分數也高
hits.hits：包含了匹配搜索的document的詳細數據curl

{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 1,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "2",
"_score": 1,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "1",
"_score": 1,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer",
"tags": [
"meibai",
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": 1,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
}
}工具

query string search的由來，由於search參數都是以http請求的query string來附帶的oop

搜索商品名稱中包含yagao的商品，並且按照售價降序排序：GET /ecommerce/product/_search?q=name:yagao&sort=price:desc學習

適用於臨時的在命令行使用一些工具，好比curl，快速的發出請求，來檢索想要的信息；可是若是查詢請求很複雜，是很難去構建的
在生產環境中，幾乎不多使用query string searchurl

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二、query DSL

DSL：Domain Specified Language，特定領域的語言
http request body：請求體，能夠用json的格式來構建查詢語法，比較方便，能夠構建各類複雜的語法，比query string search確定強大多了

查詢全部的商品

GET /ecommerce/product/_search
{
"query": { "match_all": {} }
}

查詢名稱包含yagao的商品，同時按照價格降序排序

GET /ecommerce/product/_search
{
"query" : {
"match" : {
"name" : "yagao"
}
},
"sort": [
{ "price": "desc" }
]
}

分頁查詢商品，總共3條商品，假設每頁就顯示1條商品，如今顯示第2頁，因此就查出來第2個商品

GET /ecommerce/product/_search
{
"query": { "match_all": {} },
"from": 1,
"size": 1
}

指定要查詢出來商品的名稱和價格就能夠

GET /ecommerce/product/_search
{
"query": { "match_all": {} },
"_source": ["name", "price"]
}

更加適合生產環境的使用，能夠構建複雜的查詢

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三、query filter

搜索商品名稱包含yagao，並且售價大於25元的商品

GET /ecommerce/product/_search
{
"query" : {
"bool" : {
"must" : {
"match" : {
"name" : "yagao"
}
},
"filter" : {
"range" : {
"price" : { "gt" : 25 }
}
}
}
}
}

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四、full-text search（全文檢索）

GET /ecommerce/product/_search
{
"query" : {
"match" : {
"producer" : "yagao producer"
}
}
}

儘可能，不管是學什麼技術，好比說你當初學java，學linux，學shell，學javascript，學hadoop。。。。必定本身動手，特別是手工敲各類命令和代碼，切記切記，減小複製粘貼的操做。只有本身動手手工敲，學習效果才最好。

producer這個字段，會先被拆解，創建倒排索引

special       4
yagao       4
producer   1,2,3,4
gaolujie   1
zhognhua   3
jiajieshi   2

yagao producer ---> yagao和producer

{
"took": 4,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 4,
"max_score": 0.70293105,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "4",
"_score": 0.70293105,
"_source": {
"name": "special yagao",
"desc": "special meibai",
"price": 50,
"producer": "special yagao producer",
"tags": [
"meibai"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "1",
"_score": 0.25811607,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer",
"tags": [
"meibai",
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": 0.25811607,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "2",
"_score": 0.1805489,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
}
}
]
}
}

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五、phrase search（短語搜索）

跟全文檢索相對應，相反，全文檢索會將輸入的搜索串拆解開來，去倒排索引裏面去一一匹配，只要能匹配上任意一個拆解後的單詞，就能夠做爲結果返回
phrase search，要求輸入的搜索串，必須在指定的字段文本中，徹底包含如出一轍的，才能夠算匹配，才能做爲結果返回

GET /ecommerce/product/_search
{
"query" : {
"match_phrase" : {
"producer" : "yagao producer"
}
}
}

{
"took": 11,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.70293105,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "4",
"_score": 0.70293105,
"_source": {
"name": "special yagao",
"desc": "special meibai",
"price": 50,
"producer": "special yagao producer",
"tags": [
"meibai"
]
}
}
]
}
}