MongoDB unique index

MongoDB unique index

实战

Part1:写在最前

MongoDB的 unique index索引这里有个注意事项，主要体现在对NULL值的处理上，本文加以复现。

整体环境：

MongoDB 3.2.5

Part2:集合内容

PRIMARY> db.helei.find(){ "_id" : ObjectId("58b7ea9544e98b24a5bdcef5"), "i" : 0, "username" : "user0", "age" : 8, "created" : "Thu Mar 02 2017 17:49:09 GMT+0800 (CST)" }{ "_id" : ObjectId("58b7ea9544e98b24a5bdcef6"), "i" : 1, "username" : "user1", "age" : 9, "created" : "Thu Mar 02 2017 17:49:09 GMT+0800 (CST)" }{ "_id" : ObjectId("58b7ea9544e98b24a5bdcef7"), "i" : 2, "username" : "user2", "age" : 82, "created" : "Thu Mar 02 2017 17:49:09 GMT+0800 (CST)" }{ "_id" : ObjectId("58b7ea9544e98b24a5bdcef8"), "i" : 3, "username" : "user3", "age" : 48, "created" : "Thu Mar 02 2017 17:49:09 GMT+0800 (CST)" }{ "_id" : ObjectId("58b7ea9544e98b24a5bdcef9"), "i" : 4, "username" : "user4", "age" : 27, "created" : "Thu Mar 02 2017 17:49:09 GMT+0800 (CST)" }{ "_id" : ObjectId("58b7ea9544e98b24a5bdcefa"), "i" : 5, "username" : "user5", "age" : 53, "created" : "Thu Mar 02 2017 17:49:09 GMT+0800 (CST)" }{ "_id" : ObjectId("58b7ea9544e98b24a5bdcefb"), "i" : 6, "username" : "user6", "age" : 42, "created" : "Thu Mar 02 2017 17:49:09 GMT+0800 (CST)" }{ "_id" : ObjectId("58b7ea9544e98b24a5bdcefc"), "i" : 7, "username" : "user7", "age" : 56, "created" : "Thu Mar 02 2017 17:49:09 GMT+0800 (CST)" }{ "_id" : ObjectId("58b7ea9544e98b24a5bdcefd"), "i" : 8, "username" : "user8", "age" : 5, "created" : "Thu Mar 02 2017 17:49:09 GMT+0800 (CST)" }{ "_id" : ObjectId("58b7ea9544e98b24a5bdcefe"), "i" : 9, "username" : "user9", "age" : 56, "created" : "Thu Mar 02 2017 17:49:09 GMT+0800 (CST)" }{ "_id" : ObjectId("58b8da80d8509e8f46fd9042"), "i" : "10", "age" : 50, "create" : ISODate("2017-03-03T02:52:48.834Z") }

这里可以看到，我在helei集合中生成了i从0到10这些数据，而i:10文档中我故意漏写username这一个键值

Part3:集合索引情况

PRIMARY> db.helei.getIndexes()[{"v" : 1,"key" : {"_id" : 1},"name" : "_id_","ns" : "helei.helei"},{"v" : 1,"key" : {"age" : 1},"name" : "idx_age","ns" : "helei.helei"},{"v" : 1,"unique" : true,"key" : {"username" : 1},"name" : "uk_username","ns" : "helei.helei","background" : true}]

这里可以看出在name列添加了unique index： uk_username

Part4:验证

当再有一个不包含username键值的文档被插入时，会抛出错误

PRIMARY> db.helei.insert({i:"11",age:51,create:new Date()})

WriteResult({

"nInserted" : 0,

"writeError" : {

"code" : 11000,

"errmsg" : "E11000 duplicate key error collection: helei.helei index: uk_username dup key: { : null }"

}

})

Warning:警告

如果一个文档没有对应的键，索引会将其作为null存储。

--总结--

如果对某个键建立了唯一索引，但插入了多个缺少该索引键的文档，由于集合已经存在一个该索引键值的值为null而导致插入失败。由于笔者的水平有限，编写时间也很仓促，文中难免会出现一些错误或者不准确的地方，不妥之处恳请读者批评指正。