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方法三
Home Database Mysql Tutorial Mongodb中随机的查询文档记录

Mongodb中随机的查询文档记录

Jun 07, 2016 pm 04:34 PM
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在实际应用场景中,几乎都会有随机获取数据记录的需求。而这个需求在 Mongodb 却不是很好实现,就目前而言,大致上有三种解决方案: 先计算出一个从 0 到记录总数之间的随机数,然后采用 skip(yourRandomNumber) 方法。 为每一条记录增设 random 字段,插入

在实际应用场景中,几乎都会有随机获取数据记录的需求。而这个需求在 Mongodb 却不是很好实现,就目前而言,大致上有三种解决方案:

  1. 先计算出一个从0到记录总数之间的随机数,然后采用skip(yourRandomNumber)方法。
  2. 为每一条记录增设random字段,插入数据时赋值为Math.random(),查询时采用$gte$lte
  3. 借助 Mongodb 对地理空间索引(geospatial indexes)的支持,从而可以在第二种方法的基础上来实现随机记录的获取。

因为 Mongodb 是不建议使用skip方法的,所以这里就略去第一种方法吧。

方法二

> db.twitter.save({ username: 'heroic', random: Math.random(), content: 'balabala0...' })
> db.twitter.save({ username: 'heroic', random: Math.random(), content: 'balabala1...' })
> db.twitter.save({ username: 'heroic', random: Math.random(), content: 'balabala2...' })
> db.twitter.save({ username: 'heroic', random: Math.random(), content: 'balabala3...' })
> db.twitter.save({ username: 'heroic', random: Math.random(), content: 'balabala4...' })
/* more records... */
/* create index */
> db.twitter.ensureIndex({ username: 1, random: 1 })
> rand = Math.random()
> result = db.twitter.findOne({ username: 'heroic', random: { $gte: rand } })
> if (result == null) {
>   result = db.twitter.findOne({ username: 'heroic', random: { $lte: rand } })
> }
Copy after login

方法三

> db.twitter.save({ username: 'heroic', random: [Math.random(), 0], content: 'balabala0...' })
> db.twitter.save({ username: 'heroic', random: [Math.random(), 0], content: 'balabala1...' })
> db.twitter.save({ username: 'heroic', random: [Math.random(), 0], content: 'balabala2...' })
> db.twitter.save({ username: 'heroic', random: [Math.random(), 0], content: 'balabala3...' })
> db.twitter.save({ username: 'heroic', random: [Math.random(), 0], content: 'balabala4...' })
/* more records... */
/* create index */
> db.twitter.ensureIndex({ username: 1, random: '2d' })
> result = db.twitter.findOne({ username: 'heroic', random: { $near: [Math.random(), 0] } })
Copy after login

更多关于 Mongodb 地理空间索引资料,请参见这里。

目前这几种方案似乎都不是很理想,但是也没有其他办法了,所以广大程序员们就相约到 Mongodb 的官方 jira 提了相应的需求,但是目前仍然没有任何的响应。可以参见这里,围观一下。

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