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如何使用 GridFS 存储数据?

我已将数据内容存储在文档中,如下所示:

架构:

var mongoose = require("mongoose");
var mongoosePaginate = require('mongoose-paginate');

// Declare schema
var streadatamSchema = new mongoose.Schema({
    user_id: {
        type: String,
        required: true
    },
    title: {
        type: String,
        required: true
    },
    description: {
        type: String,
        required: true
    },
    public_key: {
        type: String
    },
    private_key: {
        type: String
    },
    data: {
        type: Object
    },
    entries_number: {
        type: Number,
        default: 0
    },
    last_entry_at: {
        type: Date
    },
    created_at: {
        type: Date,
        default: Date.now,
        index: 1 // Note 1
    },
});

streamSchema.plugin(mongoosePaginate);

// Export schema
// Model.paginate()
mongoose.model("Stream", streamSchema);

示例流:

{
    "_id" : ObjectId("57cfeabd8d9cc38d6d25fd60"),
    "user_id" : "579f52bc53d9e8cc14f504da",
    "title" : "Stream 3",
    "description" : "bla bla bla",
    "public_key" : "CxM2jlAaOHvhC3v4GB",
    "private_key" : "cHeELOOnr2x0WCqdo",
    "data" : {
        "particles" : [ 
            "27", 
            "3", 
            "3", 
            "8", 
            "29", 
            "4", 
            "0", 
            "0", 
            "0", 
            "0", 
            "0", 
            "0", 
            "0", 
            "2", 
            "2", 
            "2", 
            "1", 
            "32", 
            "0", 
            "7", 
            "0", 
            "5", 
            "0", 
            "0", 
            "1", 
            "0", 
            "0", 
            "0", 
            "0", 
            "0", 
            "0", 
            "1", 
            "0", 
            "0", 
            "0", 
            "0", 
            "0", 
            "32", 
            "50", 
            "52", 
            "27", 
            "52", 
            "3", 
            "3", 
            "0", 
            "0", 
            "1", 
            "3", 
            "17", 
            "2", 
            "15", 
            "0", 
            "0", 
            "1", 
            "48", 
            "21", 
            "27", 
            "7", 
            "6", 
            "6", 
            "2", 
            "4", 
            "0", 
            "0", 
            "0", 
            "8", 
            "2", 
            "0", 
            "0", 
            "3"
        ],
        "timestamp" : [ 
            1473244226641.0, 
            1473244254890.0, 
            1473244283134.0, 
            1473244311293.0, 
            1473244339536.0, 
            1473244420579.0, 
            1473246125416.0, 
            1473246153736.0, 
            1473246182281.0, 
            1473246210171.0, 
            1473246238506.0, 
            1473246266681.0, 
            1473246294915.0, 
            1473246325204.0, 
            1473246351579.0, 
            1473246379670.0, 
            1473246408000.0, 
            1473246436252.0, 
            1473246464504.0, 
            1473246492743.0, 
            1473246520906.0, 
            1473246549158.0, 
            1473246577414.0, 
            1473246605652.0, 
            1473246633917.0, 
            1473246695549.0, 
            1473246723868.0, 
            1473246752127.0, 
            1473246780382.0, 
            1473246808543.0, 
            1473246836795.0, 
            1473246865028.0, 
            1473246893295.0, 
            1473246921625.0, 
            1473246949790.0, 
            1473246978115.0, 
            1473247006374.0, 
            1473247034712.0, 
            1473247062773.0, 
            1473247091109.0, 
            1473247119278.0, 
            1473247147609.0, 
            1473247175787.0, 
            1473247204099.0, 
            1473247232287.0, 
            1473247260531.0, 
            1473247288785.0, 
            1473247346870.0, 
            1473247375027.0, 
            1473247414220.0, 
            1473247442496.0, 
            1473247470722.0, 
            1473247498963.0, 
            1473247527122.0, 
            1473247555416.0, 
            1473247583645.0, 
            1473247611975.0, 
            1473247640211.0, 
            1473247668447.0, 
            1473247696712.0, 
            1473247724866.0, 
            1473247753121.0, 
            1473247781412.0, 
            1473247809628.0, 
            1473247837876.0, 
            1473247866137.0, 
            1473247894452.0, 
            1473247922612.0, 
            1473247950961.0, 
            1473247979195.0
        ]
    },
    "created_at" : ISODate("2016-09-07T10:23:57.692Z"),
    "entries_number" : 70,
    "species" : [ 
        {
            "public_name" : "CO2",
            "code_name" : "particles"
        }
    ],
    "__v" : 0,
    "last_entry_at" : ISODate("2016-09-07T11:32:59.195Z")
}

如您所见,罐内的数据data会一直持续下去并最终超过限制 - 16MB。

那么,如何data使用 GridFS 扩展数据呢?这可能吗?

我正在使用猫鼬来存储和读取数据。有几个 GridFS 包可以与 mongoo、gridfs-stream和mongoose -gridfs 一起使用,但我只是不知道如何将它们与我现有的代码集成。

这就是我将数据注入该data字段的方式:

var express = require('express');
var router = express.Router();

// Import dependencies.
var mongoose = require("mongoose");

// Import the User schema and the authentication middleware.
var Stream = mongoose.model("Stream");

// GET or POST request to push data to a stream.
// @format:
// http://127.0.0.1:8080/input/<public_key>?private_key=<private_key>&field1=<value>&field2=<value>
// @example:
// http://127.0.0.1:3000/input/ksdoLOZ99qpdL9?private_key=PSsoE6nXcHN7&particles=1.2
router.get("/", log);
router.get("/:publicKey", log);
router.post("/:publicKey", log);

function log (req, res) {

    // Get values from request arguments
    var publicKey = req.params.publicKey;

    // The private key might come in the header or as a GET var depending on the method used for sending data.
    var privateKey = req.headers['stream-private-key'] ? req.headers['stream-private-key'] : req.query.private_key;

    // Strip out cruft
    delete req.query.private_key;

    var data = {};

    if (req.method === 'GET') {
        data = req.query;
    }

    if (req.method === 'POST') {
        data = req.body;
    }

    // Check for public key
    if (!publicKey) {
        res.set('Content-Type', 'application/json');
        return res.status(404).send('stream not found');
    }

    // Check for private key
    if (!privateKey) {
        res.set('Content-Type', 'application/json');
        return res.status(403).send('forbidden: missing private key');
    }

    // Make sure they sent some data.
    // Check if the array object is empty then don't update the model.
    if (Object.keys(data).length === 0 && data.constructor === Object) {
        res.set('Content-Type', 'application/json');
        return res.status(200).send('no data received');
    }

    var updateQuery = {};data

    // Send status code for each case : -1 if error, 0 if no stream found and 1 if update successful
    Stream.findOne({
        public_key:publicKey,
        private_key:privateKey
    }, function(err, stream) {

        if (err) {
            console.log("Error retrieving stream: " + err);
            return res.sendStatus(500); 
        }

        if (stream === null) {
            console.log("Either no stream was found for this API key: " + privateKey + " or the stream doesn't have any variables set");
            res.set('Content-Type', 'application/json');
            return res.status(200).send('stream not found');
        }

        // Make sure the stream data (object) has keys in
        if (!Object.keys(stream.data).length > 0) {
            res.set('Content-Type', 'application/json');
            return res.status(200).send('update failed');
        }

        // Build $push query with variables passed in POST request.
        // We check that the variable have already been registered otherwise they"ll be ignored.
        for (var property in stream.data) {
            if (data.hasOwnProperty(property) && stream.data.hasOwnProperty(property)) {
                updateQuery["data." + property] = data[property];
            } else {
                updateQuery["data." + property] = null;
            }
        }

        // Current timestamp.
        var timestamp = Date.now();

        // Insert date data.
        updateQuery["data.timestamp"] = timestamp;

        // Update stream with new values and increment entries_number
        stream.update({
            $push: updateQuery,
            $inc: {entries_number: 1},
            last_entry_at: timestamp
        }, function(err, streamID) {

            if (err) {
                console.log("Error updating stream: " + err);
                return res.sendStatus(-1);
            }

            console.log("New entry for stream with API key: " + privateKey);

            res.set('Content-Type', 'application/json');
            return res.status(200).send('success 1');
        });
    });
};

有什么想法可以将 mongoose-gridfs 或 gridfs-stream 与上面的代码集成吗?

4

0 回答 0