Load testing SMT and NMT in preparation for 50 projects #22

johnml1135 · 2022-08-23T01:50:14Z

Here are some ways to increase the number of simultaneous users on Machine:

Throw more memory at Machine? How much do we have? 32GB? How long will this last for? Assuming 300MB/project, we could support 100 simultaneous projects...
If we can't get it, then C# can look at the amount of memory being used and if it is too high, offload the oldest model (last used longest ago).
If that is too slow, we can then look at horizontal scaling...
Pull the machine inferencing to a different microservice?

johnml1135 · 2023-07-18T18:18:41Z

This issue is about verifying initial scalability in 2 parts:

Calculations and other evidence that we can be responsive enough to different projects to have NMT drafts
Load tests to prove response times for SMT and MongoDB performance
MongoDB - assume 3000 files per project (one file per chapter of the Bible) and 100 projects (50 forward and 50 back). Make sure that normal workflow response times are not too slow (> 20 seconds), and that getting pretranslations and word-graphs is not slow (< 2 seconds).

johnml1135 · 2023-07-18T21:06:51Z

8 hours per training, 24 per week per GPU - can handle 50 projects per week on 2 GPU's.

Enkidu93 · 2023-08-29T15:39:40Z

Two questions, @johnml1135 :

Where should I check this script in? (i.e., what directory and what repo?)
This is what I have so far a process. Let me know if this works for you or if you'd like any other endpoints bombarded/setting changed/etc:

Bombard get-all-engines for 60s with 50 connections at 10 req/s and print stats.
(e.g.
Statistics Avg Stdev Max
Reqs/sec 10.01 2.96 18.35
Latency 35.06ms 14.05ms 59.06ms
Latency Distribution
50% 42.61ms
75% 47.74ms
90% 49.39ms
95% 50.54ms
99% 52.94ms
HTTP codes:
1xx - 0, 2xx - 601, 3xx - 0, 4xx - 0, 5xx - 0
others - 0
Throughput: 2.42MB/s
)
Post 30,000 new engines.
Again, bombard get-all-engines for 60s with 50 connections at 10 req/s and print stats.
Build an SMT engine, bombard get-word-graph with settings as above, print stats.
Build an NMT engine, bombard get-pretranslations with settings as above, print stats.
Clean up (delete everything created in this process)

As soon as I hear from you, I will commit and we can test and close this issue.

johnml1135 · 2023-08-30T20:11:35Z

Great - let's see if we can test against the internal QA - now at https://qa-int.serval-api.org/swagger/index.html (only on VPN). We can monitor the cpu and memory load.

Enkidu93 · 2023-08-31T16:06:21Z

@johnml1135 OK, great! What kind of additional set up will I need to bombard that (besides being on the VPN and changing the url)? Anything?

johnml1135 · 2023-08-31T16:12:22Z

The right auth0 client - use Machine API (Test Application) from the sil-appbuilder tenant.

Enkidu93 · 2023-09-01T00:36:39Z

OK, sweet. I will paste those results when I get them. Unfortunately, a lot of today the queue has been full, so it hasn't been convenient to get results. Hopefully, tomorrow morning 🤞. (Update: The queue is full still - waiting. Maybe we should consider routing tests to a higher priority queue).

Enkidu93 · 2023-09-08T13:48:52Z

Finally managed to get some results in:

Fetching authorization token...
Setting up bombardier...
Bombarding get all translation engines endpoint...
Statistics Avg Stdev Max
Reqs/sec 9.94 8.23 135.91
Latency 426.49ms 220.51ms 2.14s
Latency Distribution
50% 359.85ms
75% 467.92ms
90% 575.44ms
95% 730.49ms
99% 1.55s
HTTP codes:
1xx - 0, 2xx - 600, 3xx - 0, 4xx - 0, 5xx - 0
others - 0
Throughput: 279.77KB/s
Posting engines to DB...
Bombarding get all translation engines endpoint after adding docs...
Statistics Avg Stdev Max
Reqs/sec 3.39 7.48 63.32
Latency 11.96s 327.39ms 13.19s
Latency Distribution
50% 11.87s
75% 12.03s
90% 12.37s
95% 12.78s
99% 13.05s
HTTP codes:
1xx - 0, 2xx - 0, 3xx - 0, 4xx - 0, 5xx - 0
others - 253
Errors:
timeout - 252
read tcp 10.255.255.71:58762->10.3.0.94:443: i/o timeout - 1
Throughput: 65.98KB/s
Adding corpus to smt engine...
Building an SMT engine for bombardment...
Bombarding word graph endpoint...
Statistics Avg Stdev Max
Reqs/sec 9.97 5.42 45.57
Latency 230.25ms 174.04ms 1.73s
Latency Distribution
50% 180.13ms
75% 201.33ms
90% 310.88ms
95% 527.24ms
99% 0.94s
HTTP codes:
1xx - 0, 2xx - 0, 3xx - 0, 4xx - 601, 5xx - 0
others - 0
Throughput: 19.15KB/s
Creating NMT engine...
Building NMT engine...
Bombarding pretranslation endpoint...
Statistics Avg Stdev Max
Reqs/sec 9.98 5.28 36.64
Latency 213.27ms 112.77ms 1.10s
Latency Distribution
50% 169.65ms
75% 219.19ms
90% 292.70ms
95% 467.60ms
99% 707.70ms
HTTP codes:
1xx - 0, 2xx - 601, 3xx - 0, 4xx - 0, 5xx - 0
others - 0
Throughput: 22.45KB/s
Cleaning up...

Enkidu93 · 2023-09-08T13:49:30Z

These are results of running the same script locally:

Fetching authorization token...
Setting up bombardier...
Bombarding get all translation engines endpoint...
Statistics Avg Stdev Max
Reqs/sec 9.99 7.44 171.65
Latency 34.42ms 188.31ms 1.83s
Latency Distribution
50% 5.29ms
75% 5.50ms
90% 5.67ms
95% 6.00ms
99% 1.23s
HTTP codes:
1xx - 0, 2xx - 600, 3xx - 0, 4xx - 0, 5xx - 0
others - 0
Throughput: 13.29KB/s
Posting engines to DB...
Bombarding get all translation engines endpoint after adding docs...
Statistics Avg Stdev Max
Reqs/sec 4.28 4.21 18.34
Latency 9.83s 1.21s 10.01s
Latency Distribution
50% 10.00s
75% 10.01s
90% 10.01s
95% 10.01s
99% 10.01s
HTTP codes:
1xx - 0, 2xx - 6, 3xx - 0, 4xx - 0, 5xx - 0
others - 300
Errors:
timeout - 300
Throughput: 1.18MB/s
Adding corpus to smt engine...
Building an SMT engine for bombardment...
Bombarding word graph endpoint...
Statistics Avg Stdev Max
Reqs/sec 10.02 3.14 36.42
Latency 19.09ms 14.12ms 232.40ms
Latency Distribution
50% 14.04ms
75% 16.39ms
90% 37.10ms
95% 41.28ms
99% 44.63ms
HTTP codes:
1xx - 0, 2xx - 601, 3xx - 0, 4xx - 0, 5xx - 0
others - 0
Throughput: 33.51KB/s
Creating NMT engine...
Building NMT engine...
Bombarding pretranslation endpoint...
Statistics Avg Stdev Max
Reqs/sec 10.02 2.80 18.31
Latency 8.68ms 4.08ms 36.05ms
Latency Distribution
50% 10.12ms
75% 12.67ms
90% 12.89ms
95% 13.02ms
99% 13.54ms
HTTP codes:
1xx - 0, 2xx - 601, 3xx - 0, 4xx - 0, 5xx - 0
others - 0
Throughput: 20.81KB/s
Cleaning up...

Enkidu93 · 2023-09-08T13:52:52Z

Everything looks good except Mongo's response to the 30,000 docs and the 400 codes on word graph (which don't appear locally). I'd like to investigate more as to why its failing. That really shouldn't be such an overwhelming number for MongoDB, so I wonder if it's still processing the added docs and maybe adding a sleep would help. I'll investigate. Any thoughts? @johnml1135

Enkidu93 · 2023-09-08T14:16:28Z

I'm 99% sure that the issue causing the timeouts after adding the files is that some requests get canceled at the end of 60-second window of bombardment and these are causing something akin to the cancellation subscription issue we'd seen earlier. Wasn't that issue addressed? Do we need to investigate further solutions?

johnml1135 · 2023-09-08T17:00:13Z

On the 30,000 docs:

This is how SF is using Serval. We need to account for this.
What is the bombardment rate? At what rate does it break? Can we do 5 per second?
- Listing all the files is rarely needed if at all. It puts a big strain on Mongo, but has few use cases.
Could/should we add a filtering endpoint for file and engines based upon names?
Could/should we add paging for files (pages of 300...)

On the 601's

What is happening? I have no idea...

ddaspit · 2023-09-08T17:38:38Z

@Enkidu93 I'm trying to interpret the results. Are all of the requests to the get-all-engines endpoint timing out?

Enkidu93 · 2023-09-08T18:45:22Z

On the 30,000 docs:

* This is how SF is using Serval.  We need to account for this.

* What is the bombardment rate?  At what rate does it break?  Can we do 5 per second?
  
  * Listing all the files is rarely needed if at all.  It puts a big strain on Mongo, but has few use cases.

* Could/should we add a filtering endpoint for file and engines based upon names?

* Could/should we add paging for files (pages of 300...)

On the 601's

* What is happening?  I have no idea...

Right, so like I mentioned above (way up there ^), this is 50 concurrent connections at 10 requests per second. In other words, I imagine this is significantly more traffic than we should expect (but I figured I ought to push it). I can experiment and see what a sufficiently slow rate would be.

One option is to do like I've seen elsewhere and, like you said, allow filtering on the 'get-all' end points as well as having a max number of results parameter that we default to a 'safe' value.

As for the 601 400s, I'm really unsure. Given that I can't recreate the problem locally, I'm probably gonna need to dig in the logs on the qa server (what's the best way to do that?).

Enkidu93 · 2023-09-08T18:45:59Z

@Enkidu93 I'm trying to interpret the results. Are all of the requests to the get-all-engines endpoint timing out?

Yes, that's right. They're all timing out.

Enkidu93 · 2023-09-08T18:46:45Z

Should we spin off separate issues for addressing these problems and close/leave open this?

Enkidu93 · 2023-09-11T17:44:08Z

400s on word-graph are the result of running out of memory => being unable to build more engines:

{"log":"\u001B[41m\u001B[30mfail\u001B[39m\u001B[22m\u001B[49m: Grpc.AspNetCore.Server.ServerCallHandler[6]\n Error when executing service method 'Create'.\n System.IO.IOException: No space left on device : '/var/lib/machine/engines/64fa1c9ae06e7b98dd799db0'\n at System.IO.FileSystem.CreateDirectory(String fullPath)\n at System.IO.Directory.CreateDirectory(String path)\n at SIL.Machine.AspNetCore.Services.ThotSmtModelFactory.InitNew(String engineId) in /app/src/SIL.Machine.AspNetCore/Services/ThotSmtModelFactory.cs:line 58\n at SIL.Machine.AspNetCore.Services.SmtTransferEngineState.InitNew() in /app/src/SIL.Machine.AspNetCore/Services/SmtTransferEngineState.cs:line 36\n at SIL.Machine.AspNetCore.Services.SmtTransferEngineService.CreateAsync(String engineId, String engineName, String sourceLanguage, String targetLanguage, CancellationToken cancellationToken) in /app/src/SIL.Machine.AspNetCore/Services/SmtTransferEngineService.cs:line 41\n at SIL.Machine.AspNetCore.Services.SmtTransferEngineService.CreateAsync(String engineId, String engineName, String sourceLanguage, String targetLanguage, CancellationToken cancellationToken) in /app/src/SIL.Machine.AspNetCore/Services/SmtTransferEngineService.cs:line 41\n at SIL.Machine.AspNetCore.Services.ServalTranslationEngineServiceV1.Create(CreateRequest request, ServerCallContext context) in /app/src/SIL.Machine.AspNetCore/Services/ServalTranslationEngineServiceV1.cs:line 28\n at Grpc.Shared.Server.UnaryServerMethodInvoker`3.ResolvedInterceptorInvoker(TRequest resolvedRequest, ServerCallContext resolvedContext)\n at Grpc.Shared.Server.UnaryServerMethodInvoker`3.ResolvedInterceptorInvoker(TRequest resolvedRequest, ServerCallContext resolvedContext)\n at SIL.Machine.AspNetCore.Services.UnimplementedInterceptor.UnaryServerHandler[TRequest,TResponse](TRequest request, ServerCallContext context, UnaryServerMethod`2 continuation) in /app/src/SIL.Machine.AspNetCore/Services/UnimplementedInterceptor.cs:line 21\n at Grpc.Shared.Server.InterceptorPipelineBuilder`2.<>c__DisplayClass5_0.<<UnaryPipeline>b__1>d.MoveNext()\n --- End of stack trace from previous location ---\n at Grpc.Shared.Server.InterceptorPipelineBuilder`2.<>c__DisplayClass5_0.<<UnaryPipeline>b__1>d.MoveNext()\n --- End of stack trace from previous location ---\n at Grpc.AspNetCore.Server.Internal.CallHandlers.UnaryServerCallHandler`3.HandleCallAsyncCore(HttpContext httpContext, HttpContextServerCallContext serverCallContext)\n at Grpc.AspNetCore.Server.Internal.CallHandlers.ServerCallHandlerBase`3.<HandleCallAsync>g__AwaitHandleCall|8_0(HttpContextServerCallContext serverCallContext, Method`2 method, Task handleCall)\n","stream":"stdout","time":"2023-09-07T18:55:22.764485472Z","type":"fail","source":"Grpc.AspNetCore.Server.ServerCallHandler"}

ddaspit · 2023-09-11T18:30:31Z

This looks like it is running out of disk space not memory.

Enkidu93 · 2023-09-15T17:17:40Z

How long does it take for Serval to respond to a single get-all-engines request?

About 30 seconds. (Note, this is with ~20,000 engines). I can try again after deleting them.

Getting a single engine is a little more than half a second.

Enkidu93 · 2023-09-15T17:20:10Z

Yes, pretranslations should be deleted when an engine is deleted.

OK, I'll investigate further, but it looks like that hadn't happened on the internal QA (given that there were nearly no engines (at one point) while there were hundreds of thousands of pretranslations). I'll verify though before opening an issue.

Enkidu93 · 2023-09-15T17:32:02Z

How long does it take for Serval to respond to a single get-all-engines request?

About 30 seconds. (Note, this is with ~20,000 engines). I can try again after deleting them.

Getting a single engine is a little more than half a second.

Something fishy is definitely going on, and I think it's a user error. A couple days ago, I did manage to run the load testing script without issue and the numbers that came back were good. I wanted to tweak one of the values, came back to it, and now this. It's almost as though there's a delay between my posting engines and them actually being created. I'll delete them all again, and try once more.

Enkidu93 · 2023-09-18T17:38:03Z

It's still intermittent for me, and I haven't found a way to successfully run my test and paste results here because of the timeout issues. Is it possible I'm triggering some kind of security protocol meant to protect the server from a DoS attack or something? Any ideas? @johnml1135

ddaspit · 2023-09-18T22:58:10Z

If it takes 30 seconds to respond to a single get-all-engines request with 20,000 engines, I would like to understand what is taking so much time. Is it the Mongo query, deserializing the query results into model objects, serializing the results into JSON, etc.? @Enkidu93, you said this does not seem to happen on your dev machine, so using a profiler might not be an option. Maybe we could add some debug log entries that benchmark different parts of the request? At the very least, we should be able to see how much time it takes ASP.NET Core to handle the request using the existing logs. That should tell us if it is the actual Serval service that is slow or something external, such as the reverse proxy. It would also be good to understand how much memory is needed to fulfill the request.

Enkidu93 · 2023-09-19T13:02:58Z

Yes, or is it just an issue on my end - we don't know. That's correct, @ddaspit, I can't recreate the issue locally. @johnml1135, I can follow the instructions from the README to redeploy the internal QA with modified Serval-Machine code for debugging this, right?

johnml1135 · 2023-09-19T18:14:21Z

@Enkidu93 - yes you may (that is what it is for). Another way to try to hopefully reproduce without having to create docker images and deploy (a 10 minute cycle at least), is to use CPU limits on docker compose: https://stackoverflow.com/questions/42345235/how-to-specify-memory-cpu-limit-in-docker-compose-version-3.

Enkidu93 · 2023-09-20T00:34:01Z

Good idea! I can now recreate the issue locally. I'll be debugging more tomorrow.

johnml1135 · 2023-09-20T13:13:17Z

The settings are in the k8s yaml files. Did you also limit the mongo database to the same limits?

…

On Tue, Sep 19, 2023 at 8:34 PM Eli C. Lowry ***@***.***> wrote: Good idea! I tried limiting each service to 0.5 cpus and 128MB wand wasn't able to recreate the problem locally. Do you know off-hand what the limits are on the int-qa? — Reply to this email directly, view it on GitHub <#22 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ADIY5NFFJEEZX3YPALOINEDX3I2YLANCNFSM57JVNLYQ> . You are receiving this because you were mentioned.Message ID: ***@***.***>

Enkidu93 · 2023-09-20T13:16:30Z

The settings are in the k8s yaml files. Did you also limit the mongo database to the same limits?
…
On Tue, Sep 19, 2023 at 8:34 PM Eli C. Lowry @.> wrote: Good idea! I tried limiting each service to 0.5 cpus and 128MB wand wasn't able to recreate the problem locally. Do you know off-hand what the limits are on the int-qa? — Reply to this email directly, view it on GitHub <#22 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ADIY5NFFJEEZX3YPALOINEDX3I2YLANCNFSM57JVNLYQ . You are receiving this because you were mentioned.Message ID: @.>

Sure, OK. Thank you! I did. I am now able to recreate the issue regardless (I edited my comment). Working on debugging now.

ddaspit · 2023-09-20T16:51:16Z

Are we only allocating 128MB of memory to the MongoDB instance?

Enkidu93 · 2023-09-20T16:52:52Z

Are we only allocating 128MB of memory to the MongoDB instance?

I believe it's set up with a 1500MB limit. I'm investigating this as we speak.

Enkidu93 · 2023-09-20T16:55:37Z

I tried timing different elements of the logic, and the majority of the time is spent outside the visible code. Serval and MongoDB were maxing out cpu-usage. I tried bumping up the allotment without too much luck. I did notice something odd though which is that Serval seems to use a huge amount of memory that scales with the amount that I afford it (i.e. say I give it 1000MB, it'll use 90% of it after creating all the engines; same with 2000MB). I'm not sure what's going on there - thoughts?

Enkidu93 · 2023-09-20T18:19:55Z

Is there some way that serval might be keeping all of the engines in memory even when not querying?

Enkidu93 · 2023-09-20T18:22:03Z

So, I can get it to work by increasing the memory and cpu allotment for serval and mongo. I'm now experimenting with how tightly I can bound those. Is there a reason we can't afford more resources to them? What's our actual limit? I don't seem to have access to viewing information about our nodes specs etc.

johnml1135 · 2023-09-20T18:33:58Z

We have 4 CPU's for Mongo and Serval - for all engines. We can likely increase the memory if needed, but increasing the CPU would be more $$$. Let's see if we can get acceptable behavior without increasing the levels first.

johnml1135 · 2023-09-20T18:34:53Z

Also, Machine is hanging out at 65% and Mongo at 15% in NLP. Why could that be? I just restarted the services and they are back down again...

johnml1135 · 2023-09-20T18:37:37Z

Memory is around 30-40% - but that should be ok:

ddaspit · 2023-09-20T18:44:44Z

65% and 15% CPU usage?

johnml1135 · 2023-09-20T18:45:23Z

Yes - continuous for weeks. There is nothing on the logs that would indicate what is happening.

Enkidu93 · 2023-09-20T19:21:36Z

We have 4 CPU's for Mongo and Serval - for all engines. We can likely increase the memory if needed, but increasing the CPU would be more $$$. Let's see if we can get acceptable behavior without increasing the levels first.

So we should pursue paging? @johnml1135

ddaspit · 2023-09-20T20:38:59Z

Here is some info on allocating sufficient CPU and memory to Mongo.

johnml1135 · 2023-09-22T19:46:42Z

I'm checking if we can give more CPU's to Mongo...

johnml1135 · 2023-09-22T21:02:05Z

Working with @g3mackay on allocating CPU's more dynamically - https://stackoverflow.com/questions/52487333/how-to-assign-a-namespace-to-certain-nodes. We should be able to ensure that Mongo gets up to (or more than) 2 CPU's without starving the Serval API.

Enkidu93 · 2023-09-29T14:33:02Z

What has yet to be done in this issue? Where do we go from here, @johnml1135?

johnml1135 · 2023-10-05T13:22:01Z

Please add the scripts to the Serval repo to refer to them in the future as needed.

Enkidu93 · 2023-10-13T23:03:40Z

Addressed here - at least for the time being

johnml1135 added the enhancement label Aug 23, 2022

ddaspit added this to Serval May 22, 2023

ddaspit moved this to 📋 Backlog in Serval May 22, 2023

johnml1135 added the mother tongue label Jul 18, 2023

johnml1135 changed the title ~~Machine Scaling to 100 projects~~ Machine Scaling to 50 projects Jul 18, 2023

johnml1135 added this to the Mother Tongue MVP milestone Jul 19, 2023

johnml1135 assigned Enkidu93 Jul 19, 2023

johnml1135 moved this from 📋 Backlog to 🏗 In progress in Serval Jul 19, 2023

johnml1135 changed the title ~~Machine Scaling to 50 projects~~ Load testing SMT and NMT in preparation for 50 projects Jul 27, 2023

Enkidu93 moved this from 🏗 In progress to 🔖 Ready in Serval Aug 9, 2023

Enkidu93 moved this from 🔖 Ready to 🏗 In progress in Serval Aug 11, 2023

Enkidu93 moved this from 🏗 In progress to 👀 In review in Serval Sep 8, 2023

Enkidu93 mentioned this issue Oct 10, 2023

Load testing sillsdev/serval#175

Merged

Enkidu93 closed this as completed Oct 13, 2023

github-project-automation bot moved this from 👀 In review to ✅ Done in Serval Oct 13, 2023

Load testing SMT and NMT in preparation for 50 projects #22

Load testing SMT and NMT in preparation for 50 projects #22

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