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")
}
正如您所看到的，data内的数据可以永远持续下去并最终超过限制--16MB。
那么，如何使用GridFS扩展data中的数据？这可能吗？
我正在使用mongoose来存储和读取数据。有几个GridFS包与mongooes gridfs-stream和mongoose-gridfs配合使用，但我不知道如何将它们与现有代码集成。
这就是我将数据注入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');
});
});
};
如何将mongoose-gridfs或gridfs-stream与上面的代码集成？