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Message #02357
Re: stored programs
Hi,
Just to avoid ambiguity: the stored function is executed as byte code in
each call, and the native function is called by the byte code for each call.
--Justin
On Tue, Mar 3, 2015 at 7:04 AM, Justin Swanhart <greenlion@xxxxxxxxx> wrote:
> Hi,
>
> The server parses the function into a form of bytecode which is then
> cached until the routine changes. In the past any routine change would
> invalidate cache for all routines and that sometimes can still happen but
> it is rare. The server then interprets the bytecode for every call to the
> function and yes, the function is executed every time unless you memoize
> the function ( if(function_input != @last_input) then @last_input =
> function_input; return @last_result := function(function_input); else
> return @last_result;
>
> On Tue, Mar 3, 2015 at 6:59 AM, Peter Laursen <peter_laursen@xxxxxxxxxx>
> wrote:
>
>> I really don't know if it should take 2, 5 or 60 seconds. The numbers
>> surprise me (in the bad maner). There is an incredible overhead when
>> wrapping this query in a function. I wonder if there is an invocation of
>> the function for every iteration.
>>
>> -- Peter
>>
>> On Tue, Mar 3, 2015 at 2:51 PM, Federico Razzoli <federico_raz@xxxxxxxx>
>> wrote:
>>
>>> SELECT 1 was .42. What I find amazing is not the absolute numbers (it's
>>> an old computer with desktop installed, etc) but the difference between the
>>> tests. If SELECT 1 takes .42, test 2 shouldn't take more than 1 min... do
>>> you agree?
>>>
>>> Federico
>>>
>>>
>>> --------------------------------------------
>>> Mar 3/3/15, Justin Swanhart <greenlion@xxxxxxxxx> ha scritto:
>>>
>>> Oggetto: Re: [Maria-discuss] stored programs
>>> A: "Peter Laursen" <peter_laursen@xxxxxxxxxx>
>>> Cc: "Federico Razzoli" <federico_raz@xxxxxxxx>, "Maria Discuss" <
>>> maria-discuss@xxxxxxxxxxxxxxxxxxx>
>>> Data: Martedì 3 marzo 2015, 14:28
>>>
>>> You
>>> probably have either a faster CPU or bigger cache on your
>>> cpu. How long does benchmark select 1 take? You should
>>> find it is faster on your system too, right?
>>> --Justin
>>>
>>> Sent from my iPhone
>>> On Mar 3,
>>> 2015, at 6:18 AM, Peter Laursen <peter_laursen@xxxxxxxxxx>
>>> wrote:
>>>
>>> Your 3rd test case takes
>>> 2:02 in MariaDB 10.1 and 2:13 in MySQL 5.6 on my system
>>> (when otherwise idle) .
>>> --
>>> Peter
>>> On Tue,
>>> Mar 3, 2015 at 1:58 PM, Federico Razzoli <federico_raz@xxxxxxxx>
>>> wrote:
>>> I made
>>> some quick test to show what I mean by "performance
>>> problem". Note that I'm not saying the the first
>>> and the second test cases should perform equally. But there
>>> is too much difference - see the conclusion.
>>>
>>>
>>>
>>> 1)
>>>
>>>
>>>
>>> MariaDB [test]> SELECT BENCHMARK(50000000, (SELECT
>>> 1));
>>>
>>> +---------------------------------+
>>>
>>> | BENCHMARK(50000000, (SELECT 1)) |
>>>
>>> +---------------------------------+
>>>
>>> | 0 |
>>>
>>> +---------------------------------+
>>>
>>> 1 row in set (0.42 sec)
>>>
>>>
>>>
>>> 2)
>>>
>>>
>>>
>>> DELIMITER ||
>>>
>>> CREATE FUNCTION f()
>>>
>>> RETURNS TINYINT
>>>
>>> BEGIN
>>>
>>> RETURN 1;
>>>
>>> END ||
>>>
>>> DELIMITER ;
>>>
>>>
>>>
>>> MariaDB [test]> SELECT BENCHMARK(50000000, (SELECT
>>> f()));
>>>
>>> +-----------------------------------+
>>>
>>> | BENCHMARK(50000000, (SELECT f())) |
>>>
>>> +-----------------------------------+
>>>
>>> | 0 |
>>>
>>> +-----------------------------------+
>>>
>>> 1 row in set (2 min 5.70 sec)
>>>
>>>
>>>
>>> 3)
>>>
>>>
>>>
>>> DELIMITER ||
>>>
>>> CREATE FUNCTION f(x TINYINT)
>>>
>>> RETURNS TINYINT
>>>
>>> BEGIN
>>>
>>> RETURN x;
>>>
>>> END ||
>>>
>>> DELIMITER ;
>>>
>>>
>>>
>>> MariaDB [test]> SELECT BENCHMARK(50000000, (SELECT
>>> f(1)));
>>>
>>> +------------------------------------+
>>>
>>> | BENCHMARK(50000000, (SELECT f(1))) |
>>>
>>> +------------------------------------+
>>>
>>> | 0 |
>>>
>>> +------------------------------------+
>>>
>>> 1 row in set (3 min 35.20 sec)
>>>
>>>
>>>
>>> -- Conclusions:
>>>
>>>
>>>
>>> Times in seconds:
>>>
>>>
>>>
>>> 0.42
>>>
>>> 125.70
>>>
>>> 215.20
>>>
>>>
>>>
>>> I don't know which ratio would be acceptable, but the
>>> difference betweem a trivial query and a trivial function is
>>> too high.
>>>
>>> Also, the difference between 2) and 3) is that the function
>>> in 3) accepts and returns a parameter. Again, the
>>> performance difference seems to me too high.
>>>
>>>
>>>
>>> Regards
>>>
>>> Federico
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> _______________________________________________
>>>
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>>>
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>>>
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>>>
>>>
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>>>
>>
>
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