Hey Jacques, Feel free to ping us with any questions. Despite some of the _users_ of Parquet competing with each other (eg query engines), we hope the file format itself can be easily implemented by everyone and become ubiquitous.
There are a few changes still in flight that we're working on, so you may want to join the parquet dev mailing list as well to follow along. Thanks -Todd On Tue, Mar 12, 2013 at 10:29 AM, Jacques Nadeau <[email protected]> wrote: > When you said soon, you meant very soon. This looks like great work. > Thanks for sharing it with the world. Will come back after spending some > time with it. > > thanks again, > Jacques > > > > On Tue, Mar 12, 2013 at 9:50 AM, Julien Le Dem <[email protected]> wrote: > > > The repo is now available: http://parquet.github.com/ > > Let me know if you have questions > > > > On Mon, Mar 11, 2013 at 11:31 AM, Jacques Nadeau <[email protected]> > > wrote: > > > There definitely seem to be some new kids on the block. I really hope > > that > > > Drill can adopt either ORC or Parquet as a closely related "native" > > format. > > > At the moment, I'm actually more focused on the in-memory execution > > > format and the right abstraction to support compressed columnar > execution > > > and vectorization. Historically, the biggest gaps I'd worry about are > > > java-centricity and expectation of early materialization & > decompression. > > > Once we get some execution stuff working, lets see how each fits in. > > > Rather than start a third competing format (or fourth if you count > > > Trevni), let's either use or extend/contribute back on one of the > > existing > > > new kids. > > > > > > Julien, do you think more will be shared about Parquet before the > Hadoop > > > Summit so we can start toying with using it inside of Drill? > > > > > > J > > > > > > On Mon, Mar 11, 2013 at 11:02 AM, Ken Krugler > > > <[email protected]>wrote: > > > > > >> Hi all, > > >> > > >> I've been trying to track down status/comparisons of various columnar > > >> formats, and just heard about Parquet. > > >> > > >> I don't have any direct experience with Parquet, but Really Smart Guy > > said: > > >> > > >> > From what I hear there are two key features that > > >> > differentiate it from ORC and Trevni: 1) columns can be optionally > > split > > >> into > > >> > separate files, and 2) the mechanism for shredding nested fields > into > > >> > columns is taken almost verbatim from Dremel. Feature (1) won't be > > >> practical > > >> > to use until Hadoop introduces support for a file group locality > > >> feature, but once it > > >> > does this feature should enable more efficient use of the buffer > cache > > >> for predicate > > >> > pushdown operations. > > >> > > >> -- Ken > > >> > > >> > > >> On Mar 11, 2013, at 10:56am, Julien Le Dem wrote: > > >> > > >> > Parquet is actually implementing the algorithm described in the > > >> > "Nested Columnar Storage" section of the Dremel paper[1]. > > >> > > > >> > [1] http://research.google.com/pubs/pub36632.html > > >> > > > >> > On Mon, Mar 11, 2013 at 10:41 AM, Timothy Chen <[email protected]> > > >> wrote: > > >> >> Just saw this: > > >> >> > > >> >> http://t.co/ES1dGDZlKA > > >> >> > > >> >> I know Trevni is another Dremel inspired Columnar format as well, > > anyone > > >> >> saw much info Parquet and how it's different? > > >> >> > > >> >> Tim > > >> > > >> -------------------------- > > >> Ken Krugler > > >> +1 530-210-6378 > > >> http://www.scaleunlimited.com > > >> custom big data solutions & training > > >> Hadoop, Cascading, Cassandra & Solr > > >> > > >> > > >> > > >> > > >> > > >> > > > -- Todd Lipcon Software Engineer, Cloudera
