How can I run node v10.x on Azure Functions on a Linux host? - node.js

I've been working on a small function to automate my certificate renewal in Azure Functions.
The function works in my local emulator (in vscode), running under node v10.15.3.
However, when running it online, an exeption is generated on the syntax of an async iterator when the file containing it is included
Stack: /home/site/wwwroot/node_modules/acme-dns-01-cloudflare/index.js:125
for await(const zone of consumePages(pagination =>
It's my understanding that this syntax has been adopted in node versions 10.x. I therefore added the console output line: console.log(process.versions); and get the response that the function is running node version 8.16.1. I therefore checked the WEBSITE_NODE_DEFAULT_VERSION application setting, and confirmed it is set to 10.14.1. I have also checked it with another recommended setting of ~10 and got the same result.
Unfortunately the documentation is difficult to search for such a specific issue, but I have not yet come across anything that states that Linux functions are limited to node v8.x
As extra information, the FUNCTIONS_WORKER_RUNTIME is set to "node", and the runtime version is 2.0.12733.0 (~2)

At time of writing, this issue on github highlights the problem https://github.com/Azure/azure-functions-host/issues/4948. Different node versions are simply not available on Linux consumption plans regardless of the setting in WEBSITE_NODE_DEFAULT_VERSION.
Hopefully their new arrangements will be in place soon for anyone else who has this issue.
For now you can switch to a windows consumption plan, or potentially switch to a service plan (I haven't checked this, as it sort of defeats the point of functions)

Refer to this issue1 and issue2, looks like WEBSITE_NODE_DEFAULT_VERSION won't work for linux function, have to set the LinuxFxVersion property to select the node version.
Follow is my flow to change it.
1.Go to your Function App in the portal and open the Resource Explorer. You will find LinuxFxVersion is node:2.0-node8-appservice.
2.Select the web under config node, then choose the Edit button. Find the linuxFxVersion and change the value to NODE|10.14, after this click the PUT button to update the setting. Then restart your Function, check the node version you will find it's 10.14.

Related

Why is my code not updating on App Engine?

I have an App Engine Service, running on Google Cloud Platform.
I run an old version of my NodeJS application on it.
After having updated my code, I have run the following command: gcloud app deploy, in my GCP console, directly. It shows no error.
It says 'X files updated' and after that, I go on my application and the code is actually not updated.
I expect my code to be deployed and therefore, updated, after I run this command.
Why is this expectation not met?
Are you sure you are deploying to the same version? If you're deploying a different version, did you migrate traffic to this new version? To check this, login to console.cloud.google.com > App Engine > Versions
This will show you all the versions you currently have deployed and you can confirm which one(s) are serving traffic
You should also confirm that you actually have the 'updated' source code deployed. Following the link in bullet 1 above, you should see a column that says 'Diagnose' with 'TOOLS' under it. Click on the drop down and select 'source'. This will show you your source code. Confirm you have your updated code
If your files are static, they could be cached. You can try using cache bursting techniques (search Stackoverflow for this), or wait for some time and try again.

New deployed azure function returns 404 Not Found error

Hey I have deployed new azure function using Azure dev ops CI/CD. The function app has been deployed successfully and when I go to the main URL, it says your function app is running. I tried to test the end points("/save") using azure portal and the output is 404 Not found. The same results when I use POST man as well. Any help would be appreciated?
2020-11-21T11:30:45.769 [Error] The following 2 functions are in error:
Get: The function type name 'DocumentContextFunction.Functions.GetDocument'
is invalid.
Save: The function type name
'DocumentContextFunction.Functions.SaveDocument' is invalid.
I have fixed this by updating the value of the "FUNCTIONS_EXTENSION_VERSION" from 1 to 3. For some reason every time I deployed using Azure CI/CD, its value is set to 1, so I have to manually change it to be 3.
I encountered this error when my build targeted win-x64 whereas the Azure Function Platform was configured as 32 bit.
In my case I had a function created in portal. I then published a function via visual studio. After publishing the portal created function was 404 not found and I could not even delete the function from the portal.
Exact same code in a new function worked as expected.
This is not intuitive and were no indications in the portal that previous portal created functions would break.
This maybe buried somewhere in documentation but I would have expected a warning in azure before allowing other functions to break without code changes.
The author's question helped me understand where the problem was coming from. In my case, it was not about the CI/CD pipeline doing anything funny.
It was my IaC code which was not setting up the function app properly. It picks version ~1 by default but I had to set it to ~3.
My function apps were working until I included a new custom package with a later version of Microsoft.Extensions.Logging. My functions were using Microsoft.Extensions.Logging 2.1.1. The package had version 7.0.0, which is for Net7. It was incompatible with my Net6 projects.
When the package was added, the Microsoft.Extensions.Logging version in my project was updated to 7.0.0. The were no compile errors, but debugging showed that the assembly could not be loaded. This was causing the 404.
Changing the package version back to 2.1.1 corrected the problem.
This is what worked for me...
Note: I was getting 404 on my function which is a nodejs and inline editing on the browser.
Open your function.json and take a backup as we are going to change it.
See if in your function.json there are two different settings with "direction": "in"
For me there were two. I tried deleting but it keep coming back.
Next I went to 'Integrations' (on left menu) and opened my trigger and deleted it. This will recycle your trigger. And hope this works for you too.

Azure function - "Did not find any initialized language workers"

I'm running an Azure function in Azure, the function gets triggered by a file being uploaded to blob storage container. The function detects the new blob (file) but then outputs the following message - Did not find any initialized language workers.
Setup:
Azure function using Python 3.6.8
Running on linux machine
Built and deployed using azure devops (for ci/cd capability)
Blob Trigger Function
I have run the code locally using the same blob storage container, the same configuration values and the local instance of the azure function works as expected.
The functions core purpose is to read in the .xml file uploaded into blob storage container and parse and transform the data in the xml to be stored as Json in cosmos db.
I expect the process to complete like on my local instance with my documents in cosmos db, but it looks like the function doesn't actually get to process anything due to the following error:
Did not find any initialized language workers
Troy Witthoeft's answer was almost certainly the right one at the time the question was asked, but this error message is very general. I've had this error recently on runtime 3.0.14287.0. I saw the error on many attempted invocations over about 1 hour, but before and after that everything worked fine with no intervention.
I worked with an Azure support engineer who gave some pointers that could be generally useful:
Python versions: if you have function runtime version ~3 set under the Configuration blade, then the platform may choose any of python versions 3.6, 3.7, or 3.8 to run your code. So you should test your code against all three of these versions. Or, as per that link's suggestion, create the function app using the --runtime-version switch to specify a specific python version.
Consumption plans: this error may be related to a consumption-priced app having idled off and taking a little longer to warm back up again. This depends, of course, on the usage pattern of the app. (I infer (but the Engineer didn't say this) that perhaps if the Azure datacenter my app is in happens to be quite busy when my app wants to restart, it might just have to wait for some resources to become available.). You could address this either by paying for an always-on function app, or by rigging some kind of heartbeat process to stop the app idling for too long. (Easiest with a HTTP trigger: probably just ping it?)
The Engineer was able to see a lower-level error message generated by the Azure platform, that wasn't available to me in Application Insights: ARM authentication token validation failed. This was raised in Microsoft.Azure.WebJobs.Script.WebHost.Security.Authentication.ArmAuthenticationHandler.HandleAuthenticate() at /src/azure-functions-host/src/WebJobs.Script.WebHost/Security/Authentication/Arm/ArmAuthenticationHandler.cs. There was a long stack trace with innermost exception being: System.Security.Cryptography.CryptographicException : Padding is invalid and cannot be removed.. Neither of us were able to make complete sense of this and I'm not clear whether the responsibility for this error lies within the HandleAuthenticate() call, or outside (invalid input token from... where?).
The last of these points may be some obscure bug within the Azure Functions Host codebase, or some other platform problem, or totally misleading and unrelated.
Same error but different technology, environment, and root cause.
Technology Net 5, target system windows. In my case, I was using dependency injection to add a few services, I was getting one parameter from the environment variables inside the .ConfigureServices() section, but when I deployed I forget to add the variable to the application settings in azure, because of that I was getting this weird error.
This is due to SDK version, I would suggest to deploy fresh function App in Azure and deploy your code there. 2 things to check :
Make sure your local function app SDK version matches with Azure function app.
Check python version both side.
This error is most likely github issue #4384. This bug was identified, and a fix was released mid-june 2020. Apps running on version 3.0.14063 or greater should be fine. List of versions is here.
You can use azure application insights to check your version. KUSTO Query the logs. The exception table, azure SDK column has your version.
If you are on the dedicated App Service plan, you may be able to "pull" the latest version from Microsoft by deleting and redeploying your app. If you are on consumption plan, then you may need to wait for this bugfix to rollout to all servers.
Took me a while to find the cause as well, but it was related to me installing a version of protobuf explicitly which conflicted with what was used by Azure Functions. Fair, there was a warning about that in the docs. How I found it: went to <your app name>.scm.azurewebsites.net/api/logstream and looked for any errors I could find.

Upgrade/downgrade service fabric application with already deployed version

In Service Fabric cluster, If application has multiple versions(say 1.0.0,1.0.1,1.0.2), then how can we shift the application to one version to another version(say active is 1.0.0, then I wanted to shift to 1.0.1) with out redeploying the application. Is there a PowerShell command to do this?
You should be able to use the PowerShell command
Start-ServiceFabricApplicationUpgrade
This being said I did hit an issue with my local cluster, telling me I couldn't upgrade / roll back the application if the service description had changed, which it hadn't. Using an Azure hosted cluster this worked as expected, perhaps an inconsistency with how the package is copied into the image store.
Depending on what you are attempting to achieve you could also look at named instance where you are able to deploy multiple versions of an application at once, for A - B testing.
Here are some similar posts:
Post 1
Post 2
EDIT:
Thanks to Aleksey L for the comment below. With a bit of messing around due to types not being the same and as long as you haven't changed any parameters between versions this will work,if you have you will need to manually build up the hash table.

Updating code of managed vm on google compute engine

I understand this might be an easy solution, but I am very new to this so any help would be appreciated.
I have been running through the hello world application for node.js with managed vms on google compute engine, and I have just done this stage
gcloud preview app deploy app.yaml --promote
Which has allowed me to put up the app, and it works.
BUT HOW do I now update that code? If I run that command again it starts up new instances and essentially treats it like a new upload.
You can deploy the updated version of your app by running the same command you used to deploy the app the first time, as indicate in this article:
If you update your app, you can deploy the updated version by entering the same command you used to deploy the app the first time. The new deployment creates a new version of your app and promotes it to the default version. The older versions of your app remain, as do their associated VM instances. Be aware that all of these app versions and VM instances are billable resources. For information about deleting or stopping your VM instances, see Cleaning up.
Just in case anyone found this question looking for the same information, I finally seemingly worked out how to do it.
You need to attach the --version flag when you are deploying, instead of using --promote.
You can find the default version in google cloud console, by going menu (burger icon) -> app engine -> versions and you will see in that list one item with (default) by it.
so then when deploying put that version string after --version and it will deploy without needlessly creating new things

Resources