Symfony Messenger - checking if queue is empty - symfony

We are migrating our architecture to take advantage of the Symfony Messenger component. What I am dealing with at the moment is adjusting the deploy process of our application.
The Symfony documentation suggests that the workers should be restarted on deploy to pick up the new code. Makes sense. My problem is that this does not address the issue when upgrading the deployed code. Consider hypothetical versions 1 and 2.
Version 1 works with and understands a certain set of messages.
Version 2 adds more message types and changes the names/structure/whatever of some of the message types defined in version 1.
During deploy, in order to be sure that all messages were processed and there are no incompatibilities when the new version, this is the process that makes intuitive sense to me:
Stop accepting new messages to the queue (put the site to a "maintenance mode")
Let the workers finish processing pending messages in the queue
Deploy new code
Restart workers
Start accepting new messages
The problem I am facing is that I can't see any way to check whether the queue is empty or not.
Is my deploy scenario correct? How the deploy usually done in applications using the Symfony messenger component (or any messaging queue, for that matter)? Is the only way to go ensuring backward compatibility for all the message types?

This is an interesting challenge.
Version 1 (new handlers for the same messages you sent out in the previous release)
For this you could use Middleware and Stamps to add a version-header to the messages sent over a transport. Then on the consuming side your handler can watch for the version stamp and check if its responsible for this message or not. The upside of this approach is, that you can change the handler logic without changing the message itself just by having the new code add a new version to the same message types you sent out before.
This can easily be introduced to an existing application by having your existing handlers look for the stamp and if it's not there assume they are responsible and otherwise bail out. When a new version wants to introduce a new handler it will only work with whatever version you specify and ignore any messages without this header.
Version 2 (Modifying data structure)
One approach to this problem would be to only have backwards compatible changes in your messages and handlers between each release. So for example assume your message looks something like this:
{
"foo": 123
}
and you want to change it to something like this:
{
"bar": "123"
}
In that case you would first release an intermediate version, containing both the old and new field and after a while you can release the version where you remove the old logic. The intermediate version of the message might look like this:
{
"foo": 123,
"bar": "123",
}
You would then have a Handler that checks for bar first and and falls back to using foo and the old logic, if bar is missing. This way you can make sure that both new and old messages are processed by your new application and by adding logging you can easily see when the old code is no longer called making it safe to remove the old property and logic in an upcoming release.
The main drawback of this approach is, that you will have to catch breaking changes in advance which requires a thorough review and testing process. Luckily failure transports can catch issues when your handler encounters issues, but if the message can not be properly decoded those messages might be thrown out instantly, so be careful.

I don't think the Messenger component gives any help with working out the queue length - at least none I found so far.
So the answer depends on what type of transport are you using. For example, with the Doctrine transport you can just count the number of rows in the DB table etc.
The problem with that approach is that you make your code less portable/configurable - if your code expect to count rows in DB table, it won't work with Redis transport, or if the table name changes.
In our project we ended up with a queue counting service that looks into the Messenger configuration and decides how to count the items in the queue.
As for the rest of the question about the deployment, other answers here are good. I'll sum up what we learned when running a clustered Symfony application on AWS ECS with blue/green deployment:
You could treat your message handlers like you would do DB migrations: any two adjacent versions must work with the same schema - so any two message handler versions must be able to work with the same message format.
Turn the handlers off before running a deployment, deploy the new version and turn the handlers on again. If you have multiple versions, you will need to do multiple deployments, one version by one.
You should know before each deployment whether you can just roll out multiple versions at once because there are no breaking changes, or not.
If your environment autoscales, you also need to ensure the handlers are not started on any additional nodes that appear during the deployment and are still serving the older version of the application.
We use a boolean flag in Redis to allow nodes work out whether the handlers should be started or not - that flag is set to "false" just before we halt our current handlers at the beginning of the deployment.
--
If there are any better ways to do this, I'm all ears.
Good luck!

Related

Axon Event Processing Timeout

I am using an Axon Event Tracking processor. Sometimes events take longer that 10 seconds to process.
This seems to cause the message to be processed again and this appears in the log "Releasing claim of token X/0 failed. It was owned by another node."
If I up the number of segments it does not log this BUT the event is still processed twice so I think this might be misleading. (I think I was mistaken about this)
I have tried adjusting the fetchDelay, cleanupDelay and tokenClaimInterval. None of which has fixed this. Is there a property or something that I am missing?
Edit
The scenario taking longer than 10 seconds is making a HTTP request to an external service.
I'm using axon 4.1.2 with all default configuration when using with Spring auto configuration. I cannot see the Releasing claim on token and preparing for retry in [timeout]s log.
I was having this issue with a single segment and 2 instances of the application. I realised I hadn't increased the number of segments like I thought I had.
After further investigation I have discovered that adding an additional segment seems to have stopped this. Even if I have for example 2 segments and 6 applications it still doesn't reappear, however I'm not sure how this is different to my original scenario of 1 segment and 2 application?
I didn't realise it would be possible for multiple threads to grab the same tracking token and process the same event. It sounds like the best action would be to put an idem-potency check before the HTTP call?
The Releasing claim of token [event-processor-name]/[segment-id] failed. It was owned by another node. message can only occur in three scenarios:
You are performing a merge operation of two segments which fails because the given thread doesn't own both segments.
The main event processing loop of the TrackingEventProcessor is stopped, but releasing the token claim fails because the token is already claimed by another thread.
The main event processing loop has caught an Exception, making it retry with a exponential back-off, and it tries to release the claim (which might fail with the given message).
I am guessing it's not options 1 and 2, so that would leave us with option 3. This should also mean you are seeing other WARN level messages, like:
Releasing claim on token and preparing for retry in [timeout]s
Would you be able to share whether that's the case? That way we can pinpoint a little better what the exact problem is you are encountering.
By the way, very likely you have several processes (event handling threads of the TrackingEventProcessor) stealing the TrackingToken from one another. As they're stealing an un-updated token, both (or more) will handled the same event. Hence why you see the event handler being invoked twice.
Obviously undesirable behavior and something we should resolve for you. I would like to ask you to provide answers to my comments under the question, as right now I have to little to go on. Let us figure this out #Dan!
Update
Thanks for updating your question #dan, that's very helpful.
From what you've shared, I am fairly confident that both instances are stealing the token from one another. This does depend though on whether both are using the same database for the token_entry table (although I am assuming they are).
If they are using the same table, then they should "nicely" share their work, unless one of them takes to long. If it takes to long, the token will be claimed by another process. This other process in this case is the thread of the TEP of your other application instance. The "claim timeout" is defaulted to 10 seconds, which also corresponds with the long running event handling process.
This claimTimeout is adjustable though, by invoking the Builder of the JpaTokenStore/JdbcTokenStore (depending on which you are using / auto wiring) and calling the JpaTokenStore.Builder#claimTimeout(TemporalAmount) method. And, I think this would be required on your end, giving the fact you have a long running operation.
There are of course different ways of tackling this. Like, making sure the TEP is only ran on a single instance (not really fault tolerant though), or offloading this long running operation to a schedule task which is triggered by the event.
But, I think we've found the issue at least, so I'd suggest to tweak the claimTimeout and see if the problem persists.
Let us know if this resolves the problem on your end #dan!

Ruby-on-Rails - Conditional database condition depending on action

I am no master, but I have been using Ruby-On-Rails for quite few years now and consider myself well-versed in it. Additionally, I have been working as web developer for last 10 years, starting with .Net.
I .Net we used to manually create database connection before firing any query or making a transaction. But Rails on the other hand, while spawning a new thread for request, fires a bag of initialization process which includes setting up a database connection.
Now we are working on a project, where we may not have a need for DB connection for every action. Is it somehow possible to override the default DB connection function and do it action-wise (a before_filter maybe)?
PS: Another way I thought of creating an additional Sinatra web application, which houses all such actions and use them instead to do the work or get the data.
Ehm where did you read Rails sets up a database connection for every request? My understanding is a connection is checked out from the connection pool when needed.
Also I'm surprised this is a big issue! If you don't need to hit the database (which implies no authentication, right?) then you should be caching the entire response, server-side and client-side.
Check out the guide on caching: http://guides.rubyonrails.org/caching_with_rails.html and Dalli https://github.com/mperham/dalli
Separating the client app from the data layer (so Rails on top of an API) is a nice architecture I've used for a project with success. I'd suggest Grape instead of Sinatra however.

NServiceBus, when are too many message used?

When considering a service in NServiceBus at what point do you start questioning how many messages handled by a service is too much and start to break these into a new service?
Consider the following: I have a sales service which can currently be broken into a few distinct business components, these are sales order validation, sales order processing, purchase order validation and purchase order processing.
There are currently about 20 message handlers and 2 sagas used within this service. My concern is that during high volume traffic from my website this can cause an initial spike in the messages to jump into the hundreds. Considering that the messages need to be processed in the order they are taken off the queue this can cause a delay for the last in the queue ( depending on what processing each message does).
When separating concerns within a service into smaller business components I find this makes things a little easier. Sure, it's a logical separation, but it seems to provide a layer of clarity and understanding. To me it seems it seems an easier option to do this than creating new services where in the end the more services I have the more maintenance I need to do.
Does anyone have any similar concerns to this?
I think you have actually answered you own question :)
As soon as the message volume reaches a point where the lag becomes an issue you could look to instance your endpoint. You do not necessarily need to reduce the number of handlers. You could simply install the service a number of times and have specific message types sent to the relevant endpoint by mapping.
So it becomes a matter of a simple instance installation and some config changes. So you can then either split messages on sending so that messages from a particular source end up on a particular endpoint (maybe priority) or on message type.
I happened to do the same thing on a previous project (not using NServiecBus though) where we needed document conversion messages coming from the UI to be processed ASAP. We simply installed the conversion service again with its own set of queues and changed the UI configuration to send the conversion messages to the new endpoint. The background conversion messages were still going to the previous endpoint. So here the source determined the separation.

long running http process - how to put in separate process?

I know that similar questions have been asked all over the place, but I'm having trouble finding one that relates directly to what I'm after.
I have a website where a user uploads a data file, then that file is transformed and imported into SQL. The file could be up to 50mb in size, and some times this process can take 30 minutes or sometimes even longer.
I realise I need to palm off the actual work to another process, and poll that process on the web page. I'm wondering what the best approach would be though? Being a web developer by trade, I'm finding all this new Windows Service stuff a bit confusing, and I just wanted somewhere to start.
So:
Can I do / should I being doing this with a windows service? if so, how?
Should I use WCF? If this runs under IIS, will I have problems with aspnet_wp.exe recycling and timing out my process?
clarifications
The data is imported into sql, there's no file distribution taking place.
If there is a failure, it absolutely MUST be reported to the user. The web page will poll every, lets say, 5 seconds, from the time the async task begins, to get the 'status' of the import. Once it's finished another response will tell the page to stop polling for status updates.
queries on final decision
ok, so as I thought, it seems that a windows service is the best idea. So as to HOW to get it to work, it seems the 'put the file there and wait for the service to pick it up' idea is the generally accepted way, is there a way I can start a process run by the service, without it having to constantly be checking a database table / folder? As I said earlier, I don't have any experience with Windows Services - I wondered if I put a public method in the service, can I call it somehow?
well ...
var thread = new Thread(() => {
// your action
});
thread.Start();
but you will have problems with that:
what if the import to sql fails? should there be any response to the client
if it fails, how do you ensure the file on a later request
what if the applications shuts down ... this newly created and started thread will be killed either
...
it's not always a good idea to store everything in sql (especially files...). if you want to make the file available to several servers why not distribute them via ftp ...?
i believe that your whole concept is a bit messed up (sry assuming this), and it might be helpful if you elaborate and give us more information about your intentions!
edit:
Can I do / should I being doing this
with a windows service? if so, how?
you can :) i advise you to create a simple console-program and convert this with srvany and sc. you can get a rough overview howto here (note: insert blanks after =... that's a silly pitfall)
the term should is relative, because you did not answer the most important question
what if a record is persisted to the database, telling a consumer that file test.img should be persisted, but your service hasn't captured it or did not transform it yet?
so ... next on
Should I use WCF? If this runs under IIS, will I have problems with aspnet_wp.exe recycling and timing out my process?
you probably could create a WCF-service which recieves some binary-data and then stores this to a database. this request could be async. yes. but what for?
once again:
please give us more insight to your workflow: what are you exactly trying to achieve? which "environmental-conditions" to you have (eg. app A polls db and expects file-records which are referenced in table x to be persisted) ...
edit:
so you want to import a .csv-file. well that changes everything :)
but i won't advise you to use a wcf-service (there could be a usage: eg. a wcf-service which has a method to insert a single row, then your iteration through the file would be implemented in another app... not that good, though).
i would suggest following:
at first do everything in your webapp (as you've already done), but rather use some sort of bulk-insert and do your transformation/logic on the database.
if you have some sort of bottle-neck then, i would suggest you something like a minor job-service, eg:
webapp will upload the file and insert a row to a job-table. the job-service is continiously polling the table/or gets informed via wcf by the webapp (hey, hey, finally some sort of usage for WCF in your scenario... :) ) and then does the import-job, writing a finish-note to a table/or set the state of the job to finished ...
but this is a bit overkill :)
Please see if my below comments helps you to resolve your issue:
•Can I do / should I being doing this with a windows service? if so, how?
Yes you can do this with a windows service. And I think that is the way you should be doing it. You can implement your own service to process your request or you can use the open source code Job Proccessor
Basically the idea is..
You submit a request for processing
the csv file in database table with
some status as not started.
Then your windows service picks up
the request from database table which
are not started and update them as in
progress status.
Once the processing is complete
succesfully /unsuccesfuly your
service updated the database table
with status as Completed / Failed.
And your asp.net page can poll to
database table for the current status
every 5 sec or so.
•Should I use WCF? If this runs under IIS, will I have problems with aspnet_wp.exe recycling and timing out my process?
you should not be using WCF for this purpose.

Best way to run a background task in ASP.Net web app and also get feedback?

I am thinking on the following approach but not sure if its the best way out:
step1 (server side): A TaskMangaer class creates a new thread and start a task.
step2 (server side): Store taskManager object reference into the cache for future reference.
step3 (client side): Use periodic Ajax call to check the status of the task.
Basically the intention is to have a framework to run a background task (5mins approx) and provide regular feedback on the web UI for the percentage of task completed.
Is there a neat way around this or any existing asp.net API that will be helpful ?
Edit 1#: I want to run the task in-proc with the app.
Edit 2#: Looks like badge implementation on stack overflow is also using the cache to track background task. https://blog.stackoverflow.com/2008/07/easy-background-tasks-in-aspnet/
I think the problem with storing the result in the cache is that ASP.NET might scavenge that cache entry for other purposes (ie if its short on memory, if its grumpy, etc). Something that is served from the cache should be something you can recreate on demand if its not found in the cache, the ASP.NET runtime is free to dump cache entries whenever it feels like it.
The usage of the cache in the badge discussion seems fundamentally different, in that case the task was shortlived. The cache was just being used as a hacky timer to fire off the task periodically.
Can you confirm this is a task that is going to take 5 minutes, and require its own thread that whole time? This is a performance concern in itself, you will only be able to support a limited number of such requests if each requires its own thread for so long. Only if thats acceptable would I let the task camp a thread for so long.
If its ok for these tasks to camp a thread, then I'd just go ahead and store the result in a dictionary global to the process. The key of the dictionary would correlate to the client request / AJAX callback series. The key should incorporate the user ID as well if security is at all important.
If you need to scale up to many users, then I think you need to break the task down into asynchronous steps, and in that case I'd probably use a DB table to store the results (again keyed per request / user).
Microsoft Message Queuing was built for scenarios like the one you try to solve:
http://www.microsoft.com/windowsserver2003/technologies/msmq/default.mspx
Windows Communicatio Foundation also has message queuing support.
Hope this helps.
Thomas
One approach for doing this is to use application state. When you spawn a worker thread, pass it a request ID that you generate, and return this to the client. The client will then pass that request ID back to the server in its AJAX calls. The server will then fetch the status using the request ID from application state. (The worker thread would be updating the application state based on its status).
I saw an approach to a similar problem somewhere. The solution was something like:
Start the background task on server.Return immediately with a url to the result.
Until the result is posted, this url will return 404.
The client checks periodically for this url.
The client reads the results when
they are finally posted.
The url will be something like http://mysite/myresults/cffc6c30-d1c2-11dd-ad8b-0800200c9a66.
The best document format is probably JSON.
If feedback on progress is important, modify the document to also contain status (inprogress/finish) and progress (42 %).

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