Ok, we completed the testing:

 

Lock object cache with Optimistic Serializable transactions seems to be the way 
to go (thanks again Alexei).

 

We actually now prefer this approach over “classical” reader writer locks for 
two main reasons:

 

1) The first reason is quite obvious: When you’re using classical reader writer 
locks you’re in pessimistic world. And lock ordering sounds fairly easy – but 
can actually get quite complicated if your data model ever grows to be really 
complex. 

In contrast: 

Optimistic Serializable means you don’t need to worry about that but enables 
you to concentrate on your business logic. That’s great. Makes life simpler.

 

2) The second reason might not be as obvious at first but anyone who has 
allowed their users to directly trigger commands that again trigger exclusive 
locking in your datastore might have experienced that this way you can be taken 
out very, very quickly. So of course you figure that you need to do 
sanity-checks first but doing this non-blocking is not easy when you have 
strong consistency requirements (both replicating data or taking reader locks 
for checking first violates the consistency requirement). Then you’re excited 
to find the option of “upgradeable reader locks” but soon after that it turns 
out that in practical applications there can only be a single upgradable lock. 
So this doesn’t help you a lot. Then you’re back to square one since you are 
basically forced to acquire a write-lock before you can do the consistent 
sanity check which makes it just too easy to flood your servers.

In contrast:

Optimistic Serializable enables you to do fully consistent sanity checks of 
user traffic on a massive scale – without ever taking a single lock! Gives your 
servers much more room to breathe until the AI kicks in. This is a 
security-related feature we are starting to absolutely love!

 

Thanks again for all the input we received on this!

 

One minor issue around the approach remains:

When testing with a .NET embedded thick client (2.11.1) we only got the 
behaviour we needed when strictly sticking to blocking cache method calls. As 
soon as we introduced async/await hell broke loose and we got tons of different 
errors and wired behaviour. Outside transactions async/await appears to work 
nicely. So the question is:

 

*       Is using async/await supported for optimistic serializable transactions 
(and we’re doing something wrong) or are transactional operations currently 
supposed to be blocking in .NET?

 

Thanks for any pointers.

 

Jay

 

 

From: Alexei Scherbakov <alexey.scherbak...@gmail.com> 
Sent: Thursday, 6 January 2022 12:13
To: user <user@ignite.apache.org>
Subject: Re: RE: Transactional Reader Writer Locks

 

Gurmehar,

"I need to understand when we mean LOCK, is this lock is acquired on entire 
Cache or on record we are trying to update .

Please clarify ." - Ignite uses record level locking.

 

Jay,

I would avoid entire cache locks due to performance reasons, but if it's really 
necessary, lock object cache seems the best solution.

 

 

 

вт, 28 дек. 2021 г. в 13:39, <jay.et...@gmx.de <mailto:jay.et...@gmx.de> >:

Hi Thomas,

 

thanks for your feedback. 

 

We originally discarded that option since it was our understanding that this 
would not work as desired in a transactional context. 

 

Maybe we were wrong. Will look into it again. Thanks!

 

Jay

 

 

 

From: don.tequ...@gmx.de <mailto:don.tequ...@gmx.de>  <don.tequ...@gmx.de 
<mailto:don.tequ...@gmx.de> > 
Sent: Tuesday, 28 December 2021 10:59
To: user@ignite.apache.org <mailto:user@ignite.apache.org> 
Subject: Re: RE: Transactional Reader Writer Locks

 

Instead of creating a cache with lock objects wouldn’t it be easier to use a 
semaphore for each cache where you want to achieve strong reader-Writer 
consistency?

 

https://ignite.apache.org/docs/latest/data-structures/semaphore

 

Then every time before reading/writing you acquire the semaphore first.

 

I guess this semaphore does essentially what you’re doing manually.

 

Regards

Thomas.

 

 

 

On 28.12.21 at 10:41, jay.et...@gmx.de <mailto:jay.et...@gmx.de>  wrote: 

And if anyone knows a different way to achieve entire-cache-locks in Optimistic 
Serializable transactions: We always appreciate the help.

 

Jay

 

 

From: Gurmehar Kalra <gurmehar.ka...@hcl.com <mailto:gurmehar.ka...@hcl.com> > 
Sent: Monday, 27 December 2021 07:31
To: user@ignite.apache.org <mailto:user@ignite.apache.org> ; 
alexey.scherbak...@gmail.com <mailto:alexey.scherbak...@gmail.com> 
Subject: RE: Transactional Reader Writer Locks

 

Hi,

I need to understand when we mean LOCK, is this lock is acquired on entire 
Cache or on record we are trying to update .
Please clarify .

 

Regards,

Gurmehar Singh

 

From: Alexei Scherbakov <alexey.scherbak...@gmail.com 
<mailto:alexey.scherbak...@gmail.com> > 
Sent: 16 December 2021 22:40
To: user <user@ignite.apache.org <mailto:user@ignite.apache.org> >
Subject: Re: Transactional Reader Writer Locks

 

[CAUTION: This Email is from outside the Organization. Unless you trust the 
sender, Don’t click links or open attachments as it may be a Phishing email, 
which can steal your Information and compromise your Computer.]

Hi. 

 

You can try OPTIMISTIC SERIALIZABLE isolation, it might have better throughput 
in contending scenarios.

But this is not the same as RW lock, because a tx can be invalidated after a 
commit if a lock conflict is detected.

No RW lock of any kind is planned, AFAIK.

 

вт, 7 дек. 2021 г. в 23:22, <jay.et...@gmx.de <mailto:jay.et...@gmx.de> >:

Dear all,

 

we’re running in circles with Ignite for so long now. Can anyone please help? 
All our attempts to custom-build a Reader Writer Lock (/Re-entrant Lock) for 
use inside transactions have failed.

 

Background:

- Multi-node setup

- Very high throughput mixed read/write cache access

- Key-Value API using transactional caches

- Strong consistency absolute requirement

- Transactional context required for guarantees and fault-tolerance

 

Using Pessimistic Repeatable-Read transactions gives strong consistency but 
kills performance if there’s a large number of operations on the same cache 
entry (and they tend to introduce performance penalties in entire-cache 
operations and difficulties in cross-cache locking as well). All other 
transactional modes somehow violate the strong consistency requirement as we 
see it and were able to test so far.

 

In other distributed environments we use reader writer locks to gain both 
strong consistency and high performance with mixed workloads. In Ignite however 
we’re not aware that explicit locks can be used inside transactions: The 
documentation clearly states so 
(https://ignite.apache.org/docs/latest/distributed-locks 
<https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fignite.apache.org%2Fdocs%2Flatest%2Fdistributed-locks&data=04%7C01%7Cgurmehar.kalra%40hcl.com%7Cbb66d82317d148b6221608d9c0b6ee08%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637752714176933321%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=1eNvAIsE5mgD6H0CSO6IX%2BSIw2nprWcQ1KX%2B5iZfwcc%3D&reserved=0>
 ) and trying to custom-build a reader writer lock for use inside transactions 
we always end up concluding that this may not be achievable if there are 
multiple ways to implicitly acquire but none to release locks. 

 

Are we out of luck here or 

- did we miss something?

- are there workarounds you know of?

- are there plans to implement transactional re-entrant locks in future 
releases?

 

Jay

 

 




 

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Alexei Scherbakov

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