我正在用Node.js和mongoose写一个web应用程序。如何对我从.find()调用得到的结果进行分页?我想要一个功能可比的“限制50,100”在SQL。
当前回答
实现这一点的可靠方法是使用查询字符串从前端传递值。假设我们想要获得第2页,并将输出限制为25个结果。 page=2&limit=25 //这将被添加到您的URL: http:localhost:5000?= 2限制= 25页
让我们看看代码:
// We would receive the values with req.query.<<valueName>> => e.g. req.query.page
// Since it would be a String we need to convert it to a Number in order to do our
// necessary calculations. Let's do it using the parseInt() method and let's also provide some default values:
const page = parseInt(req.query.page, 10) || 1; // getting the 'page' value
const limit = parseInt(req.query.limit, 10) || 25; // getting the 'limit' value
const startIndex = (page - 1) * limit; // this is how we would calculate the start index aka the SKIP value
const endIndex = page * limit; // this is how we would calculate the end index
// We also need the 'total' and we can get it easily using the Mongoose built-in **countDocuments** method
const total = await <<modelName>>.countDocuments();
// skip() will return a certain number of results after a certain number of documents.
// limit() is used to specify the maximum number of results to be returned.
// Let's assume that both are set (if that's not the case, the default value will be used for)
query = query.skip(startIndex).limit(limit);
// Executing the query
const results = await query;
// Pagination result
// Let's now prepare an object for the frontend
const pagination = {};
// If the endIndex is smaller than the total number of documents, we have a next page
if (endIndex < total) {
pagination.next = {
page: page + 1,
limit
};
}
// If the startIndex is greater than 0, we have a previous page
if (startIndex > 0) {
pagination.prev = {
page: page - 1,
limit
};
}
// Implementing some final touches and making a successful response (Express.js)
const advancedResults = {
success: true,
count: results.length,
pagination,
data: results
}
// That's it. All we have to do now is send the `results` to the frontend.
res.status(200).json(advancedResults);
我建议将这个逻辑实现到中间件中,这样你就可以将它用于各种路由/控制器。
其他回答
最简单和更快速的方法是,用objectId进行分页 例子;
初始加载条件
condition = {limit:12, type:""};
从响应数据中获取第一个和最后一个ObjectId
下一页条件
condition = {limit:12, type:"next", firstId:"57762a4c875adce3c38c662d", lastId:"57762a4c875adce3c38c6615"};
下一页条件
condition = {limit:12, type:"next", firstId:"57762a4c875adce3c38c6645", lastId:"57762a4c875adce3c38c6675"};
在猫鼬
var condition = {};
var sort = { _id: 1 };
if (req.body.type == "next") {
condition._id = { $gt: req.body.lastId };
} else if (req.body.type == "prev") {
sort = { _id: -1 };
condition._id = { $lt: req.body.firstId };
}
var query = Model.find(condition, {}, { sort: sort }).limit(req.body.limit);
query.exec(function(err, properties) {
return res.json({ "result": result);
});
尝试使用mongoose函数进行分页。限制是每页的记录数量和页的数量。
var limit = parseInt(body.limit);
var skip = (parseInt(body.page)-1) * parseInt(limit);
db.Rankings.find({})
.sort('-id')
.limit(limit)
.skip(skip)
.exec(function(err,wins){
});
也可以用async/await实现结果。
下面的代码示例使用hapi v17和mongoose v5的异步处理程序
{
method: 'GET',
path: '/api/v1/paintings',
config: {
description: 'Get all the paintings',
tags: ['api', 'v1', 'all paintings']
},
handler: async (request, reply) => {
/*
* Grab the querystring parameters
* page and limit to handle our pagination
*/
var pageOptions = {
page: parseInt(request.query.page) - 1 || 0,
limit: parseInt(request.query.limit) || 10
}
/*
* Apply our sort and limit
*/
try {
return await Painting.find()
.sort({dateCreated: 1, dateModified: -1})
.skip(pageOptions.page * pageOptions.limit)
.limit(pageOptions.limit)
.exec();
} catch(err) {
return err;
}
}
}
如果你正在使用mongoose作为一个restful api的源,请看看 ' retify -mongoose'和它的查询。它内置了这个功能。
集合上的任何查询都提供了在这里有用的标头
test-01:~$ curl -s -D - localhost:3330/data?sort=-created -o /dev/null
HTTP/1.1 200 OK
link: </data?sort=-created&p=0>; rel="first", </data?sort=-created&p=1>; rel="next", </data?sort=-created&p=134715>; rel="last"
.....
Response-Time: 37
所以基本上你得到了一个通用服务器,它对集合的查询具有相对线性的加载时间。这是非常棒的,如果你想要进行自己的实现,可以参考一下。
使用猫鼬,快递和翡翠的分页-这里有一个链接到我的博客与更多的细节
var perPage = 10
, page = Math.max(0, req.params.page)
Event.find()
.select('name')
.limit(perPage)
.skip(perPage * page)
.sort({
name: 'asc'
})
.exec(function(err, events) {
Event.count().exec(function(err, count) {
res.render('events', {
events: events,
page: page,
pages: count / perPage
})
})
})
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