我在我的安卓应用程序中使用Firebase数据库。我正在使用它的云功能特性。我有编码函数,并试图在本地机器上测试它。
我正在运行这个命令来测试它,云函数在firebase服务器上运行得很好,而不是在本地主机上。下面的命令发送一个错误
消防基地服务-只提供功能
> firebase serve --only functions
=== Serving from 'D:\Firebase'...
i functions: Preparing to emulate HTTPS functions. Support for other event types coming soon.
Warning: You're using Node.js v7.10.0 but Google Cloud Functions only supports v6.11.1.
Server#addProtoService is deprecated. Use addService instead
+ functions: getUsers: http://localhost:5002/xyz/us-central1/getUsers
info: User function triggered, starting execution
info: Execution took 60022 ms, finished with status: 'timeout'
info: Execution took 60022 ms, finished with status: 'crash'
Error: Can't set headers after they are sent.
at ServerResponse.setHeader (_http_outgoing.js:371:11)
at ServerResponse.header (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\express\lib\response.js:730:10)
at ServerResponse.send (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\express\lib\response.js:170:12)
at ServerResponse.json (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\express\lib\response.js:256:15)
at ProxyServer.Supervisor._proxy.on (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\@google-cloud\functions-emulator\src\supervisor\supervisor.js:97:12)
at ProxyServer.emit (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\eventemitter3\index.js:144:27)
at ClientRequest.proxyError (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\http-proxy\lib\http-proxy\passes\web-incoming.js:156:18)
at emitOne (events.js:96:13)
at ClientRequest.emit (events.js:191:7)
at Socket.socketErrorListener (_http_client.js:358:9)
info: Execution took 60054 ms, finished with status: 'crash'
Error: Can't set headers after they are sent.
at ServerResponse.setHeader (_http_outgoing.js:371:11)
at ServerResponse.header (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\express\lib\response.js:730:10)
at ServerResponse.send (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\express\lib\response.js:170:12)
at ServerResponse.json (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\express\lib\response.js:256:15)
at ProxyServer.Supervisor._proxy.on (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\@google-cloud\functions-emulator\src\supervisor\supervisor.js:97:12)
at ProxyServer.emit (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\eventemitter3\index.js:144:27)
at ClientRequest.proxyError (C:\Users\williams\AppData\Roaming\npm\node_modules\firebase-tools\node_modules\http-proxy\lib\http-proxy\passes\web-incoming.js:156:18)
at emitOne (events.js:96:13)
at ClientRequest.emit (events.js:191:7)
at Socket.socketCloseListener (_http_client.js:334:9)代码:
exports.getUsers = functions.https.onRequest((request, response) => {
var x = [],
similarityCount;
db
.ref("/users/" + request.query.userId)
.once("value")
.then(function(snapshot) {
var jsonObject = snapshot.val();
var basicProfileJsonObject = jsonObject.basicProfile;
for (var key in basicProfileJsonObject) {
if (utils.isNumber(basicProfileJsonObject[key])) {
x.push(basicProfileJsonObject[key]);
}
}
db.ref("/users/").once("value").then(function(snapshot) {
var y = [];
var jsonResponse = [];
snapshot.forEach(function(item) {
var user = item.val();
let userId = user.basicProfile.userId;
if (userId !== request.query.userId) {
var basicProfileJsonObject = user.basicProfile;
for (var key in basicProfileJsonObject) {
if (utils.isNumber(basicProfileJsonObject[key])) {
y.push(basicProfileJsonObject[key]);
}
}
if (request.query.algo === "cosine") {
// compute cosine value
similarityCount = cosineUtils.cosineSimilarity(x, y);
} else if (request.query.algo == "euclidean") {
// compute euclidean distance value
similarityCount = 1 / (1 + euclidean(x, y));
} else if (request.query.algo === "pearson-correlation") {
// compute pearson correlation coefficents
similarityCount = pcorr.pearsonCorrelation(x, y);
}
console.log("------------------------------------");
console.log(x);
console.log("------------------------------------");
console.log("------------------------------------");
console.log(y);
console.log("------------------------------------");
console.log("------------------------------------");
console.log(similarityCount);
console.log("------------------------------------");
jsonResponse.push(item.val());
y = [];
}
});
response.send(jsonResponse);
});
});
});有人能帮我一下出什么事了吗?
发布于 2017-08-07 18:30:10
这绝对是个棘手的案子。我认为这里发生了一个复杂的错误情况,而错误信息并不普遍。注意,有两行写着“执行花费了60022 ms,完成时状态为: X”。我在这里猜测云函数超时(然后发送响应),但是您的代码继续在后台运行。最终,它试图发送真正的响应,但是响应已经发送,Express.js抛出了一个异常。
另外,这个云函数试图在HTTP请求限制期间加载应用程序中的每个用户。无论云函数或Firebase实时数据库获得的速度有多快,如果您试图在恒定超时中安装O(N)操作,就会遇到限制。是否可以让您的HTTP函数计算两个用户之间的相似性?还是主动计算和失效用户在背景中的相似之处,并返回HTTP函数中缓存的值?
https://stackoverflow.com/questions/45532895
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