Oren Eini

aka Ayende Rahien

Oren Eini

CEO of RavenDB

a NoSQL Open Source Document Database

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oren@ravendb.net

+972 52-548-6969

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Comparison page for RavenDB and MongoDB

Oct 23 2006

PerformanceMake The Developers Feel The Pain

time to read 2 min | 383 words

Do you care about perfromance? Do you want to avoid that last three weeks of intesive performance work that require you to break apart a beautiful domain model and cut wide swathes of optimization horrors into your code?

The short answer to this is that developers must feel the pain, and they must feel it in very short intervals. [Please, do not use this sentence out of context].

How to do this? Setup the system so it would fail if a given performance objective is passed. A simple example can be to add a check to the request finish that verify that the amount of database queries falls beneath a pre-defined threshold*. If the page is executing more than X queries, it fails, immediately, on the developer machine, with a clear signal saying why. Take this approach to the test / QA machines as well. Make sure that when a performance issue hits, it is something that can't be ignored, and it can be pointed directly to the developer responsible.

The only way to do this reliably is to fail as early as possible, which would force the developer to fix the issue on the spot, when it is still a single, isolated issue.

I can think of two or three very easy to measure stats that you can get:

Number of queries per page.
Number of remote calls (web service, remoting, etc) per page.
Page processing time (only when debugger is not attached!).

I can't think of any way to assoicate CPU usage with the current request, otherwise I would have included that as well.

The rapid response cycle here has the same affect is here that it has when fixing bugs. Localized, immediate, fix is much faster / better than a global optimization stage later on.

* You do have a way to associate this data with the specific request, right?

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Performance

More posts in "Performance" series:

(10 Jan 2025) IOPS vs. IOPS
(03 Jan 2025) Managed vs. Unmanaged memory

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FUTURE POSTS

Partial writes, IO_Uring and safety - 15 hours from now
Configuration values & Escape hatches - 4 days from now
What happens when a sparse file allocation fails? - 6 days from now
NTFS has an emergency stash of disk space - 8 days from now
Challenge: Giving file system developer ulcer - 11 days from now

And 4 more posts are pending...

There are posts all the way to Feb 17, 2025

RECENT SERIES

Challenge (77):
20 Jan 2025 - What does this code do?
Answer (13):
22 Jan 2025 - What does this code do?
Production post-mortem (2):
17 Jan 2025 - Inspecting ourselves to death
Performance discovery (2):
10 Jan 2025 - IOPS vs. IOPS

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RECENT COMMENTS

Dmitry, Yes, but this is _known_ to be a 64 bits system - since we are allocating 3GB (not possible in 64 bits). Note t...

By Oren Eini on Answer: What does this code do?
That's why it is a good idea to compare the return value of `write` to the buffer size. "size_t" can be 32-bit on some system...

By Dmitry on Answer: What does this code do?
There's a reason we miss `write_exact` and `read_exact` from the standard library. In fact, I am surprised the chunk is actua...

By Pyth0n on Challenge: What does this code do?
kpvleeuwen, I agree, unfortunately I don't have anyone to ask off the top of my head. Thanks, I fixed the headers.

By Oren Eini on Performance discovery: IOPS vs. IOPS
It could be interesting to reach out to storage firmware developers and ask what write patterns they think would be useful ex...

By kpvleeuwen on Performance discovery: IOPS vs. IOPS

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