Simon Slavin schrieb:
> On 26 Nov 2009, at 2:04pm, Thomas Lenders wrote:
>
>   
>> I am using SQLite on a mobile device.
>>
>> I have this one table which has only one field, but I need to search in 
>> the table very quickly.
>> When creating an index on this field the size of the database is doubled 
>> - which makes sense.
>>
>> However, is there some way to implement this scenario more efficiently 
>> using SQLite ?
>>     
>
> When you talk about searching, are you talking about searching in an ordered 
> way (e.g. all the records in alphabetical order) or are you matching on 
> content using something like LIKE '%fred%' ?  For the LIKE matching, no INDEX 
> is used.
>
> If you have just one column in the field, and don't need it indexed, do you 
> really need SQL at all ?  Could you not just store the data as a text file ?
>
> Simon.
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>   

Thanks for your reply.

I am looking for an exact match as in I need to know if a number exists 
in the table or not.
Something like "select count(*) from ART where artnr='0123456789'".

I could store the data in a text file instead but then I would have to 
search in the textfile on "disk", eg. a binary search algorithm or 
something.
I cannot just load the textfile into memory because in this case, the 
storage space on "disk" and the available memory actually come from
the same pool I would still have to store the data twice.

Plus, there are other tables I use as well so I will use SQLite anyway. 
Would be rather nice to be able to use it for this special "table" as well.

The catch is, if I search without having an index it will take 5+ 
seconds to find the record which sadly isnt fast enough.

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