If you plan to read the entire file, mmap()ing it, then faulting it in will
be slower than read()ing it, at least in some Linux versions.  I never
pinned down exactly why, but I think the kernel read-ahead mechanism works
slightly differently.
--
Steve

On Thu, Oct 22, 2009 at 2:02 PM, Chris Evans <[email protected]> wrote:

> There's also option 3)
> Pre-fault the mmap()ed region in the file thread upon dictionary
> initialization.
> On Linux at least, that may give you better behaviour than malloc() +
> read() in the event of memory pressure.
>
> Cheers
> Chris
>
>
> On Thu, Oct 22, 2009 at 1:39 PM, Evan Stade <[email protected]> wrote:
>
>>
>> Hi all,
>>
>> At its last meeting the jank task force discussed improving
>> responsiveness of the spellchecker but we didn't come to a solid
>> conclusion so I thought I'd bring it up here to see if anyone else has
>> opinions. The main concern is that we don't block the IO thread on
>> file access. To this end, I recently moved initialization of the
>> spellchecker from the IO thread to the file thread. However, instead
>> of reading in the spellchecker dictionary in one solid chunk, we
>> memory-map it. Then later we check individual words on the IO thread,
>> which will be slow since the dictionary starts off effectively
>> completely paged out. The proposal is that we read in the dictionary
>> at spellchecker intialization instead of memory mapping it.
>>
>> Memory mapping pros:
>> - possibly uses less overall memory, depending on the structure of the
>> dictionary and the usage pattern of the user.
>> - <strike>loading the dictionary doesn't block for a long
>> time</strike> this one no longer occurs either way due to my recent
>> refactoring
>>
>> Reading it all at once pros:
>> - costly disk accesses are kept to the file thread (excepting future
>> memory paging)
>> - overall disk access time is probably lower (since we can read in the
>> dict in one chunk)
>>
>> For reference, the English dictionary is about 500K, and most
>> dictionaries are under 2 megs, some (such as Hungarian) are much
>> higher, but no dictionary is over 10 megs.
>>
>> Opinions?
>>
>> -- Evan Stade
>>
>>
>>
>
> >
>

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