MongoDB 表结构分析工具介绍 -- Variety

今天给大家介绍一款分析MongoDB数据库表结构的软件 -- Varity.对于MongoDB这种Schema Free的数据库来说，用软件自带的查询collection中存储的数据情况很难一眼就看出具体的数据结构，Tomá Dvoák 作者写了一个Variety.js的脚本就很容易理解没个collection中的数据结构。作者将工具托管在github上，并且欢迎任何人来提供建议或者添加功能。以下Variety的特点翻译自作者的博客：

collection信息输出格式是ASCII的。

• 可以很清晰看到每个key使用的是什么类型的数据格式

• 可以看到没个key在这个collection的使用率是多少

• 可以限制documents的查询数量

• 可以限制查询documents的深度

• 可以只分析documents的子集

• 可以对查询结果排序

• 可以保存查询结果

• 可以以JSON格式输出

• 工具简介易用，没用任何其他库依赖

Variety的下载地址 https://github.com/variety/variety。

使用方法：

mongo DATABASE_NAME --eval "var collection = 'COLL_NAME' " variety.js,比如我的DATABASE_NAME 是test, COLL_NAME是users，

我事先插入的数据是

db.users.insert({name: "Tom", bio: "A nice guy.", pets: ["monkey", "fish"], someWeirdLegacyKey: "I like Ike!"});db.users.insert({name: "Dick", bio: "I swordfight.", birthday: new Date("1974/03/14")});db.users.insert({name: "Harry", pets: "egret", birthday: new Date("1984/03/14")});db.users.insert({name: "Shanker", bio: "a va?"});

正常的查询Users的回显是这样的

> db.users.find(){ "_id" : ObjectId("56cfc28fbdae9b9a922a19cb"), "name" : "Tom", "bio" : "A nice guy", "pets" : [  "monkey",  "fish" ], "someWeirdLegacyKey" :                                                                                     "I like ike!" }{ "_id" : ObjectId("56cfc2acbdae9b9a922a19cc"), "name" : "Dick", "bio" : "I swordfight." }{ "_id" : ObjectId("56cfc2c6bdae9b9a922a19cd"), "name" : "Harry", "pets" : "egret" }{ "_id" : ObjectId("56cfc2e0bdae9b9a922a19ce"), "name" : "Shanker", "bio" : "caca" }

用Variety查询结果是这样的

mongo test --eval "var collection = 'users'" variety.jsMongoDB shell version: 2.4.9connecting to: testVariety: A MongoDB Schema AnalyzerVersion 1.5.0, released 14 May 2015Using collection of "users"Using query of { }Using limit of 4Using maxDepth of 99Using sort of { "_id" : -1 }Using outputFormat of "ascii"Using persistResults of falseUsing resultsDatabase of "varietyResults"Using resultsCollection of "usersKeys"Using resultsUser of nullUsing resultsPass of nullUsing plugins of [ ]+--------------------------------------------------------------------+| key                | types                | occurrences | percents || ------------------ | -------------------- | ----------- | -------- || _id                | ObjectId             |           4 |    100.0 || name               | String               |           4 |    100.0 || bio                | String               |           3 |     75.0 || pets               | String (1),Array (1) |           2 |     50.0 || someWeirdLegacyKey | String               |           1 |     25.0 |+--------------------------------------------------------------------+

是不是格式很友好，很容易读懂了呢？

如果数据库用的不是默认端口，可以用--port参数：

mongo DATABASE_NAME --port 27111 --eval " var collection = 'COLL_NAME' " variety.js

如果db文件不在默认文件，可以用--dbpath参数：

mongo DATABASE_NAME --dbpath /path/to/database/folder --eval "var collection = 'COLL_NAME' " variety.js

如果需要对查询进行排序的话可以这样用：

mongo DATABASE_NAME --eval "var collection = 'COLL_NAME', sort = { date : -1 }" variety.js

如果需要JSON的输出格式的话可以这样用：

mongo DATABASE_NAME --eval "var collection = 'users', outputFormat = 'json' " variety.js

如果一个collection有10亿个数据，我们可以限制查询的数量，用limit来限定：

mongo DATABASE_NAME --eval "var collection ='users', limit = 1000 " variety.js

如果某个colletions嵌套的层数太多了，可以用maxDepth来限制查询：

db.users.insert({name:"Walter", someNestedObject:{a:{b:{c:{d:{e:1}}}}}});

[ibmcloud@bravo:~/variety04:05]$mongo test --eval "var collection = 'users' " variety.jsMongoDB shell version: 2.4.9connecting to: testVariety: A MongoDB Schema AnalyzerVersion 1.5.0, released 14 May 2015Using collection of "users"Using query of { }Using limit of 5Using maxDepth of 99Using sort of { "_id" : -1 }Using outputFormat of "ascii"Using persistResults of falseUsing resultsDatabase of "varietyResults"Using resultsCollection of "usersKeys"Using resultsUser of nullUsing resultsPass of nullUsing plugins of [ ]+----------------------------------------------------------------------------+| key                        | types                | occurrences | percents || -------------------------- | -------------------- | ----------- | -------- || _id                        | ObjectId             |           5 |    100.0 || name                       | String               |           5 |    100.0 || bio                        | String               |           3 |     60.0 || pets                       | String (1),Array (1) |           2 |     40.0 || someNestedObject           | Object               |           1 |     20.0 || someNestedObject.a         | Object               |           1 |     20.0 || someNestedObject.a.b       | Object               |           1 |     20.0 || someNestedObject.a.b.c     | Object               |           1 |     20.0 || someNestedObject.a.b.c.d   | Object               |           1 |     20.0 || someNestedObject.a.b.c.d.e | Number               |           1 |     20.0 || someWeirdLegacyKey         | String               |           1 |     20.0 |+----------------------------------------------------------------------------+[ibmcloud@bravo:~/variety05:06]$mongo test --eval "var collection = 'users', maxDepth = 3" variety.jsMongoDB shell version: 2.4.9connecting to: testVariety: A MongoDB Schema AnalyzerVersion 1.5.0, released 14 May 2015Using collection of "users"Using query of { }Using limit of 5Using maxDepth of 3Using sort of { "_id" : -1 }Using outputFormat of "ascii"Using persistResults of falseUsing resultsDatabase of "varietyResults"Using resultsCollection of "usersKeys"Using resultsUser of nullUsing resultsPass of nullUsing plugins of [ ]+----------------------------------------------------------------------+| key                  | types                | occurrences | percents || -------------------- | -------------------- | ----------- | -------- || _id                  | ObjectId             |           5 |    100.0 || name                 | String               |           5 |    100.0 || bio                  | String               |           3 |     60.0 || pets                 | String (1),Array (1) |           2 |     40.0 || someNestedObject     | Object               |           1 |     20.0 || someNestedObject.a   | Object               |           1 |     20.0 || someNestedObject.a.b | Object               |           1 |     20.0 || someWeirdLegacyKey   | String               |           1 |     20.0 |+----------------------------------------------------------------------+

如果需要制定条件的查询，比如carddAbout为true的，可以这样：

mongo DATABASE_NAME --eval "var collection = 'COLL_NAME', query = {'caredAbout':true}" variety.js

需要注意的是，Variety在对数据结构进行分析的时候，实际是用MapReduce来做的，会进行全表扫描操作，所以如果是对线上库进行分析，那么建议最好使用一个不提供服务的备份库或者在业务低峰来做。避免给线上业务造成压力。

参考地址：

http://www.acetolyne.net/Projects7/node/48

https://github.com/variety/variety

http://www.mongoing.com/archives/2282