搜尋

mongodb查询

Jun 07, 2016 pm 04:34 PM
mongodb如何查詢檢索說說

这节来说说如何检索mongodb数据。首先向文档中插入一些数据。1. 插入数据 use ttlsa_comswitched to db ttlsa_com db.mediaCollection.insert({ "Type" : "Book", "Title" : "Definitive Guide to MongoDB, the", "ISBN" : "987-1-4302-3051-9", "Publisher"

这节来说说如何检索mongodb数据。首先向文档中插入一些数据。 1. 插入数据
> use ttlsa_com
switched to db ttlsa_com
> db.mediaCollection.insert({ "Type" : "Book", "Title" : "Definitive Guide to MongoDB, the", "ISBN" : "987-1-4302-3051-9", "Publisher" : "Apress", "Author": [ "Membrey, Peter", "Plugge, Eelco", "Hawkins, Tim" ] })
> db.mediaCollection.insert({ "Type" : "CD", "Artist" : "Nirvana", "Title" : "Nevermind" })
> db.mediaCollection.insert({ "Type" : "CD", "Artist" : "Nirvana", "Title" : "Nevermind", "Tracklist" : [ { "Track" : "1", "Title" : "Smells like teen spirit", "Length" : "5:02" }, { "Track" : "2", "Title" : "In Bloom", "Length" : "4:15" } ]})
> db.mediaCollection.find()
{ "_id" : ObjectId("5353462f93efef02c962da71"), "Type" : "Book", "Title" : "Definitive Guide to MongoDB, the", "ISBN" : "987-1-4302-3051-9", "Publisher" : "Apress", "Author" : [ "Membrey, Peter", "Plugge, Eelco", "Hawkins, Tim" ] }
{ "_id" : ObjectId("5353462f93efef02c962da72"), "Type" : "CD", "Artist" : "Nirvana", "Title" : "Nevermind" }
{ "_id" : ObjectId("5353463193efef02c962da73"), "Type" : "CD", "Artist" : "Nirvana", "Title" : "Nevermind", "Tracklist" : [ { "Track" : "1", "Title" : "Smells like teen spirit", "Length" : "5:02" }, { "Track" : "2", "Title" : "In Bloom", "Length" : "4:15" } ] }
2. 检索 find函数是经常用到的一个。前面的文章也有介绍到。下面看看有选择性的检索,查看你感兴趣的数据。 检索"Artist" : "Nirvana"的数据:
> db.mediaCollection.find({"Artist" : "Nirvana"}).toArray()
[
        {
                "_id" : ObjectId("5353462f93efef02c962da72"),
                "Type" : "CD",
                "Artist" : "Nirvana",
                "Title" : "Nevermind"
        },
        {
                "_id" : ObjectId("5353463193efef02c962da73"),
                "Type" : "CD",
                "Artist" : "Nirvana",
                "Title" : "Nevermind",
                "Tracklist" : [
                        {
                                "Track" : "1",
                                "Title" : "Smells like teen spirit",
                                "Length" : "5:02"
                        },
                        {
                                "Track" : "2",
                                "Title" : "In Bloom",
                                "Length" : "4:15"
                        }
                ]
        }
]
上面的查询虽说检索出"Artist" : "Nirvana"的数据,但是返回了全部列的信息,但是我只要查看Title和Tracklist.Title列
> db.mediaCollection.find({"Artist" : "Nirvana"}, {Title:1, "Tracklist.Title":1}).toArray()
[
        {
                "_id" : ObjectId("5353462f93efef02c962da72"),
                "Title" : "Nevermind"
        },
        {
                "_id" : ObjectId("5353463193efef02c962da73"),
                "Title" : "Nevermind",
                "Tracklist" : [
                        {
                                "Title" : "Smells like teen spirit"
                        },
                        {
                                "Title" : "In Bloom"
                        }
                ]
        }
]
Title:1, "Tracklist.Title":1表示只返回这两列信息。升序。也可以反着来Title:0, "Tracklist.Title":0表示返回除了这两列的其他所有列信息。 注意:_id字段总是会返回。 3. ?使用逗号 当文档结构变的复杂时,如含有数组或嵌入对象文档,就需要使用到逗号,来检索嵌入在文档中的信息。
> db.mediaCollection.find({"Tracklist.Length":"5:02"}).toArray()
[
        {
                "_id" : ObjectId("5353463193efef02c962da73"),
                "Type" : "CD",
                "Artist" : "Nirvana",
                "Title" : "Nevermind",
                "Tracklist" : [
                        {
                                "Track" : "1",
                                "Title" : "Smells like teen spirit",
                                "Length" : "5:02"
                        },
                        {
                                "Track" : "2",
                                "Title" : "In Bloom",
                                "Length" : "4:15"
                        }
                ]
        }
]
查询整个内嵌文档:
> db.mediaCollection.find({Tracklist:{"Length":"5:02"}}).toArray()
[ ]
> db.mediaCollection.find({Tracklist:{"Track" : "1","Title" : "Smells like teen spirit","Length":"5:02"}}).toArray()
[
        {
                "_id" : ObjectId("5353463193efef02c962da73"),
                "Type" : "CD",
                "Artist" : "Nirvana",
                "Title" : "Nevermind",
                "Tracklist" : [
                        {
                                "Track" : "1",
                                "Title" : "Smells like teen spirit",
                                "Length" : "5:02"
                        },
                        {
                                "Track" : "2",
                                "Title" : "In Bloom",
                                "Length" : "4:15"
                        }
                ]
        }
]
> db.mediaCollection.find({Tracklist:{"Track" : "1","Length" : "5:02","Title" : "Smells like teen spirit"}}).toArray()
[ ]
查询整个文档需要全部列出内嵌文档的字段,且顺序要一致,否则匹配不到。 查询内嵌文档的多个字段。如查询有joe发表且分数在5分以上:
> db.mediaCollection.insert({ "content" : "...", "comments" : [ { "author" : "joe", "score" : 3, "comment" : "nice post" }, { "author" : "mary", "score" : 6, "comment" : "terrible post" } ] })
> db.mediaCollection.find().toArray()
[
        {
                "_id" : ObjectId("5353462f93efef02c962da71"),
                "Type" : "Book",
                "Title" : "Definitive Guide to MongoDB, the",
                "ISBN" : "987-1-4302-3051-9",
                "Publisher" : "Apress",
                "Author" : [
                        "Membrey, Peter",
                        "Plugge, Eelco",
                        "Hawkins, Tim"
                ]
        },
        {
                "_id" : ObjectId("5353462f93efef02c962da72"),
                "Type" : "CD",
                "Artist" : "Nirvana",
                "Title" : "Nevermind"
        },
        {
                "_id" : ObjectId("5353463193efef02c962da73"),
                "Type" : "CD",
                "Artist" : "Nirvana",
                "Title" : "Nevermind",
                "Tracklist" : [
                        {
                                "Track" : "1",
                                "Title" : "Smells like teen spirit",
                                "Length" : "5:02"
                        },
                        {
                                "Track" : "2",
                                "Title" : "In Bloom",
                                "Length" : "4:15"
                        }
                ]
        },
        {
                "_id" : ObjectId("5353681293efef02c962da7a"),
                "content" : "...",
                "comments" : [
                        {
                                "author" : "joe",
                                "score" : 3,
                                "comment" : "nice post"
                        },
                        {
                                "author" : "mary",
                                "score" : 6,
                                "comment" : "terrible post"
                        }
                ]
        }
]
> db.mediaCollection.find({"comments" : {"author" : "joe", "score" : {"$gte" : 5}}}).toArray()
[ ]
> db.mediaCollection.find({"comments.author" : "joe", "comments.score" : {"$gte" : 5}}).toArray()
[
        {
                "_id" : ObjectId("5353681293efef02c962da7a"),
                "content" : "...",
                "comments" : [
                        {
                                "author" : "joe",
                                "score" : 3,
                                "comment" : "nice post"
                        },
                        {
                                "author" : "mary",
                                "score" : 6,
                                "comment" : "terrible post"
                        }
                ]
        }
]
上面的查询是不对的。 要正确的指定一组条件,而不是每个键,因此要使用到$elemMatch。这样就可以用来部分指定匹配数组中的单个内嵌文档的限定条件。正确的写法如下所示:
> db.mediaCollection.find({"comments" : {"$elemMatch" : {"author" : "joe", "score" : {"$gte" : 5}}}}).toArray()
[ ]
对于数组:
> db.mediaCollection.find({"Author":"Membrey, Peter"}).toArray()
[
        {
                "_id" : ObjectId("5353462f93efef02c962da71"),
                "Type" : "Book",
                "Title" : "Definitive Guide to MongoDB, the",
                "ISBN" : "987-1-4302-3051-9",
                "Publisher" : "Apress",
                "Author" : [
                        "Membrey, Peter",
                        "Plugge, Eelco",
                        "Hawkins, Tim"
                ]
        }
]
正则表达式查询:
> db.mediaCollection.find({"Title":/MongoDB/i}).toArray()
[
        {
                "_id" : ObjectId("5353462f93efef02c962da71"),
                "Type" : "Book",
                "Title" : "Definitive Guide to MongoDB, the",
                "ISBN" : "987-1-4302-3051-9",
                "Publisher" : "Apress",
                "Author" : [
                        "Membrey, Peter",
                        "Plugge, Eelco",
                        "Hawkins, Tim"
                ]
        }
]
对检索结果进行Sort, Limit, 和Skip请看下节内容。
陳述
本文內容由網友自願投稿,版權歸原作者所有。本站不承擔相應的法律責任。如發現涉嫌抄襲或侵權的內容,請聯絡admin@php.cn
mysql:blob和其他無-SQL存儲,有什麼區別?mysql:blob和其他無-SQL存儲,有什麼區別?May 13, 2025 am 12:14 AM

mysql'sblobissuitableForStoringBinaryDataWithInareLationalDatabase,而ilenosqloptionslikemongodb,redis和calablesolutionsolutionsolutionsoluntionsoluntionsolundortionsolunsonstructureddata.blobobobissimplobisslowdeperformberbutslowderformandperformancewithlararengedata;

mySQL添加用戶:語法,選項和安全性最佳實踐mySQL添加用戶:語法,選項和安全性最佳實踐May 13, 2025 am 12:12 AM

toaddauserinmysql,使用:createUser'username'@'host'Indessify'password'; there'showtodoitsecurely:1)choosethehostcarecarefullytocon trolaccess.2)setResourcelimitswithoptionslikemax_queries_per_hour.3)usestrong,iniquepasswords.4)Enforcessl/tlsconnectionswith

MySQL:如何避免字符串數據類型常見錯誤?MySQL:如何避免字符串數據類型常見錯誤?May 13, 2025 am 12:09 AM

toAvoidCommonMistakeswithStringDatatatPesInMysQl,CloseStringTypenuances,chosethirtightType,andManageEngencodingAndCollat​​ionsEttingSefectery.1)usecharforfixed lengengtrings,varchar forvariable-varchar forbariaible length,andtext/blobforlargerdataa.2 seterters seterters seterters

mySQL:字符串數據類型和枚舉?mySQL:字符串數據類型和枚舉?May 13, 2025 am 12:05 AM

mysqloffersechar,varchar,text,and denumforstringdata.usecharforfixed Lengttrings,varcharerforvariable長度,文本forlarger文本,andenumforenforcingDataAntegrityWithaEtofValues。

mysql blob:如何優化斑點請求mysql blob:如何優化斑點請求May 13, 2025 am 12:03 AM

優化MySQLBLOB請求可以通過以下策略:1.減少BLOB查詢頻率,使用獨立請求或延遲加載;2.選擇合適的BLOB類型(如TINYBLOB);3.將BLOB數據分離到單獨表中;4.在應用層壓縮BLOB數據;5.對BLOB元數據建立索引。這些方法結合實際應用中的監控、緩存和數據分片,可以有效提升性能。

將用戶添加到MySQL:完整的教程將用戶添加到MySQL:完整的教程May 12, 2025 am 12:14 AM

掌握添加MySQL用戶的方法對於數據庫管理員和開發者至關重要,因為它確保數據庫的安全性和訪問控制。 1)使用CREATEUSER命令創建新用戶,2)通過GRANT命令分配權限,3)使用FLUSHPRIVILEGES確保權限生效,4)定期審計和清理用戶賬戶以維護性能和安全。

掌握mySQL字符串數據類型:varchar vs.文本與char掌握mySQL字符串數據類型:varchar vs.文本與charMay 12, 2025 am 12:12 AM

chosecharforfixed-lengthdata,varcharforvariable-lengthdata,andtextforlargetextfield.1)chariseffity forconsistent-lengthdatalikecodes.2)varcharsuitsvariable-lengthdatalikenames,ballancingflexibilitibility andperformance.3)

MySQL:字符串數據類型和索引:最佳實踐MySQL:字符串數據類型和索引:最佳實踐May 12, 2025 am 12:11 AM

在MySQL中處理字符串數據類型和索引的最佳實踐包括:1)選擇合適的字符串類型,如CHAR用於固定長度,VARCHAR用於可變長度,TEXT用於大文本;2)謹慎索引,避免過度索引,針對常用查詢創建索引;3)使用前綴索引和全文索引優化長字符串搜索;4)定期監控和優化索引,保持索引小巧高效。通過這些方法,可以在讀取和寫入性能之間取得平衡,提升數據庫效率。

See all articles

熱AI工具

Undresser.AI Undress

Undresser.AI Undress

人工智慧驅動的應用程序,用於創建逼真的裸體照片

AI Clothes Remover

AI Clothes Remover

用於從照片中去除衣服的線上人工智慧工具。

Undress AI Tool

Undress AI Tool

免費脫衣圖片

Clothoff.io

Clothoff.io

AI脫衣器

Video Face Swap

Video Face Swap

使用我們完全免費的人工智慧換臉工具,輕鬆在任何影片中換臉!

熱門文章

熱工具

SecLists

SecLists

SecLists是最終安全測試人員的伙伴。它是一個包含各種類型清單的集合,這些清單在安全評估過程中經常使用,而且都在一個地方。 SecLists透過方便地提供安全測試人員可能需要的所有列表,幫助提高安全測試的效率和生產力。清單類型包括使用者名稱、密碼、URL、模糊測試有效載荷、敏感資料模式、Web shell等等。測試人員只需將此儲存庫拉到新的測試機上,他就可以存取所需的每種類型的清單。

SublimeText3 英文版

SublimeText3 英文版

推薦:為Win版本,支援程式碼提示!

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser是一個安全的瀏覽器環境,安全地進行線上考試。該軟體將任何電腦變成一個安全的工作站。它控制對任何實用工具的訪問,並防止學生使用未經授權的資源。

Dreamweaver CS6

Dreamweaver CS6

視覺化網頁開發工具

Atom編輯器mac版下載

Atom編輯器mac版下載

最受歡迎的的開源編輯器