Cassandra / NoSQL newbie:正确的方式来模型? [英] Cassandra/NoSQL newbie: the right way to model?

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问题描述

作为标题说我公平(读:完全)新的NoSQL DBS,如Cassandra。和许多其他人一样,我以前学过RMDBS。所以我对'WTF是一个超级列'和其他明显的谷歌点击,但我仍然不知道如何建模一个小的阅读:



说我想保存用户,如在用户名/密码/名称/ etc ...如果用户喜欢,手机和固定电话怎么样?这是正确的方式吗? (使用与在其他网站上看到的相同的缩写JSON样式)

 用户:{//< SuperColumnFamily,用户名为
myuser:{//< - 这是一个用户超级列
username =myuser,//< - 这是用户名列
email = myuser@googlemail.com,
...
},
...
}

电话:{//<这是用户电话号码存储的位置
myuser:{
mobile =0129386835235,
landline =123876912384,
},
...
}

意见/更正请



http://www.quora.com/Cassandra-database/Why-is-it-bad-to-use-supercolumns-in-Cassandra



现在回答你的问题。您描述的示例很容易使用常规列系列建模:

 用户:{&列族
username1:{< - 这是列系列中的一个行键,它是您的用户名之一
email:user@email.com< - 这些都是此列中的所有列行,它们对应于此用户的属性
mobile:...
landline:...
}
username2:{< - 不同用户的另一行
email:diff@email.com
}
}

请参阅上面的灵活模式,因为每行都有不同的列来描述该用户。



有关cassandra数据模型的更多信息,我建议阅读 http://www.datastax.com/docs/1.0/ddl/index p>

as the title says I am fairly (read: completely) new to NoSQL DBS such as Cassandra. As many others, I learned RMDBS before. So I did a little reading on 'WTF is a super column' and other obvious google hits, but I am still not sure how to model this:

Say I want to save Users, as in username/password/name/etc... what if that user has like, a mobile phone and a landline telephone? is this the 'right' way to do it? (using the same abbreviated JSON style as seen on other sites)

Users: {    // <-- this is the Users SuperColumnFamily, keyed by username
    myuser: {    // <-- this is a User SuperColumn
        username = "myuser",    // <-- this is the username Column
        email = "myuser@googlemail.com",
        ...
    },
    ...
}

Phone: {    // <-- this is where the users phone numbers are stored
    myuser: {
        mobile = "0129386835235",
        landline = "123876912384",
    },
    ...
}

opinions/corrections please

解决方案

First things first, don't use super columns. See:

http://www.quora.com/Cassandra-database/Why-is-it-bad-to-use-supercolumns-in-Cassandra

Now to answer your question. The example you described is easily modeled with just a regular column family:

Users: { <- This is the name of the column family
  username1: { <- this is a row key within the column family, it is one of your usernames
    email: user@email.com <- these are all of the columns within this row, they correspond to attributes for this user
    mobile: ...
    landline: ...
  }
  username2: { <- another row for a different user
    email: diff@email.com
  }
}

You can see the flexible schema above in that each row has a different set of columns for describing that user.

For more info on the cassandra data model I would recommend reading over http://www.datastax.com/docs/1.0/ddl/index

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