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
MongoDB官方博客有一个关于分页的条目,在那里他们解释了为什么“跳过”可能会很慢,并提供了替代方案:https://www.mongodb.com/blog/post/paging-with-the-bucket-pattern--part-1
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){
});
const ITEMS_PER_PAGE = 2;
exports.getProducts = (req, res, next) => {
// + will turn the string to a number
const page = +req.query.page || 1;
let totalItems;
//Product model
Product.find()
.countDocuments()
.then((numProducts) => {
totalItems = numProducts;
return Product.find()
//If query param is 3, since ITEMS_PER_PAGE = 2, we skip 2*2 items
// we show only 5th and 6th item
.skip((page - 1) * ITEMS_PER_PAGE)
.limit(ITEMS_PER_PAGE);
})
.then((products) => {
res.render("shop/products", {
// maybe sending the products object to templating engine
});
})
.catch((err) => {
const error = new Error(err);
error.httpStatusCode = 500;
// if you are set express error handler, use this
// when we call next() with an argument passed in, we let express know, we skip all other middlewares, we move to error handling middleware
return next(error);
});
};
你可以使用一个叫Mongoose Paginate的小包,让它更容易。
$ npm install mongoose-paginate
在你的路由或控制器后,只需添加:
/**
* querying for `all` {} items in `MyModel`
* paginating by second page, 10 items per page (10 results, page 2)
**/
MyModel.paginate({}, 2, 10, function(error, pageCount, paginatedResults) {
if (error) {
console.error(error);
} else {
console.log('Pages:', pageCount);
console.log(paginatedResults);
}
}
下面的代码是为我工作良好。 你也可以在countDocs查询中添加查找过滤器和user same来获得准确的结果。
export const yourController = async (req, res) => {
const { body } = req;
var perPage = body.limit,
var page = Math.max(0, body.page);
yourModel
.find() // You Can Add Your Filters inside
.limit(perPage)
.skip(perPage * (page - 1))
.exec(function (err, dbRes) {
yourModel.count().exec(function (err, count) { // You Can Add Your Filters inside
res.send(
JSON.stringify({
Articles: dbRes,
page: page,
pages: count / perPage,
})
);
});
});
};
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