Lucene only knows how to index text strings. For numeric types, they are
stored as tries. Tries work on variable length. So only the API is
different to convert integer or long to tries. Tries are the basis for
numeric range searches.

It is a myth that long take more disk space than ints in an inverted index
like Lucene. Both long and integer (numeric types) take a bit more space
than text strings, but for large indices, this does not add up at all, it
is in the noise.

For field caches/filters, and doc values, the difference of integer and
long is more important. But there are other aspects like field cardinality
which determine the overall storage volume required.

Jörg

On Fri, Oct 24, 2014 at 3:22 PM, Tim S <[email protected]> wrote:

> I get the impression that using the 'long' type instead of 'integer' would
> use more disk space and degrade search performance (similary for double
> instead of float), but there's nothing in the documentation to back this
> impression up.
>
> There must be an advantage to using integer (if you can) because otherwise
> it wouldn't exist. It just doesn't say what the advantage is.
>
> Can someone confirm? Even better does anyone have any stats on what
> difference it would make?
>
> Thanks.
>
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