Hi, Saw that too. Had a look through the history to remind myself.
Seems that Damian was looking for it : http://r.789695.n4.nabble.com/Merging-where-key-is-large-tp2315272p2315272.html and Leon : http://r.789695.n4.nabble.com/Non-integer-key-tp3743732p3743732.html There doesn't seem to be an FR in data.table related to this though. int64 indeed looks very useful. It seems to do it internally using 2 regular int vectors, and that causes data.table an issue because it doesn't currently accept types that are not atomic (such as POSIXlt). That could be the FR then: allowing multi-column types (for which int64 is worth it, but not POSIXlt)? There are a few related questions on SO : http://stackoverflow.com/questions/8175965/multiplication-of-large-integers-in-r/8212452#8212452 http://stackoverflow.com/questions/2053397/long-bigint-decimal-equivalent-datatype-in-r/8212428#8212428 and those mention some alternatives : * larger and more accurate integers can be stored in numeric (double) * Package Brobdingnag * Package gmp I don't know how int64 compares to those, or if they use multi-columns internally or not, or what. Btw, does anyone know what sponsorship by Google actually means in practice? Matthew On Mon, 2011-11-21 at 14:56 -0500, Steve Lianoglou wrote: > Hi Branson, > > This also hit my radar earlier today. > > Just wanted to say: > > On Mon, Nov 21, 2011 at 2:02 PM, Branson Owen <[email protected]> wrote: > > > A immediate drawback I see is that they use S4 class. I know it's painful to > > deal with S4. > > S4 isn't so painful ;-) > > This sounds like it could be interesting, though ... will have to > check out that package. > > -steve > _______________________________________________ datatable-help mailing list [email protected] https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help
