Response Headers in Google Cloud Functions

When executing a GCF triggered by an Http Request, I encounter the issue of receiving unnecessary headers along with my custom message. Here is a list of headers that are included:

HTTP/1.1 200 OK
Server: nginx
Content-Type: application/json; charset=utf-8
x-powered-by: Express
cache-control: private
Strict-Transport-Security: max-age=31556926; includeSubDomains; preload
etag: W/"19-7046833f"
function-execution-id: nx88bs3fra23
x-cloud-trace-context: 302401ba6a3c3d461c32dc7e4825c54d;o=1, 302401ba6a3c3d461c32dc7e4825c54d
Content-Length: 25
Accept-Ranges: bytes
Date: Wed, 05 Jul 2017 01:48:23 GMT
Via: 1.1 varnish
Connection: keep-alive
X-Served-By: cache-lax8651-LAX
X-Cache: MISS
X-Cache-Hits: 0
X-Timer: S1499219281.929840,VS0,VE22189

As I am making this request from a 3G module and not a web browser, all these headers are redundant for my purpose. The code snippet used to get this response is as follows:

'use strict';
exports.myfunction = functions.https.onRequest((req, res) => {
  admin.database().ref('/root').once('child_changed', (snapshot) =>{
    res.send(snapshot.val());
  });
});

I have explored the response documentation and found the res.set(field [, value]) method.

Is there any way to remove these unwanted headers sent automatically by the server?

Answer №1

After experimenting with a Hello World Cloud Functions demonstration, I discovered that Google Cloud Functions automatically insert the following response headers:

Content-Length: 12
Date: Sat, 08 Jul 2017 12:12:12 GMT
ETag: W/"c-1a2b3c4d"
Server: Foo
content-type: text/html; charset=utf-8
function-execution-id: SOME_EXECUTION_ID
x-cloud-trace-context: SOME_CONTEXT_1;o=1
x-cloud-trace-context: SOME_CONTEXT_2
x-powered-by: Express

It appears that these headers cannot be removed from Google Cloud Functions directly. Additionally, some of the headers may be originating from a Varnish Cache, making them challenging to eliminate without disabling the cache entirely.

The impact of these response headers on data usage is minimal (<1kB in this instance), so I recommend not concerning oneself too much about their presence, even when using cellular data networks.

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