The query is just an UPDATE with a COALESCE keyword in it. All it does 
is increment counters:

 UPDATE `statistics_api` SET `count_request` = COALESCE(`count_request`, 
?) + ? WHERE (`id` = ?)

This one took 8,553 ms according to New Relic. The weird part is that 
there is an index on 'id' (as well as a few other columns) on this 
table. I just can't figure out why the query's taking so long ...

Marnen Laibow-Koser wrote:
> Frank Poo wrote:
>> Marnen: here are some more details. I need to be able to handle at least 
>> 10 API requests / second. Let met clarify what happens:
>> 
>> 1) User makes a RESTful API request
>> 2) I find a record in a database, return it as JSON
>> 3) I record the request counter for the user in the database (i.e. if I 
>> user makes 2 API calls, I record '2').
>> 
>> #1 and #2 are really fast in SQL - they are SELECTs. #3 is really slow, 
>> because it's an UPDATE. In the real world, my database (MySQL) is NOT 
>> scaling. 
> 
> Well, there's your first problem -- you're using mySQL. :)  Try 
> PostgreSQL instead.
> 
> (That was admittedly snarky.  Although PostgreSQL is certainly the 
> better choice, mySQL should still work.)
> 
>> According to New Relic, #3 is taking most of the time.
> 
> What does that query look like?  A simple UPDATE query should not be a 
> major performance hit, so there must be something else going on.
> 
> Best,
> --
> Marnen Laibow-Koser
> http://www.marnen.org
> [email protected]

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