Starred it.
On Friday, April 15, 2016 at 12:00:17 AM UTC+2, Andrei Zh wrote: > > Spark.jl provides Julia bindings for Apache Spark - by far the most > popular computational framework in Hadoop ecosystem. Find it at: > > > https://github.com/dfdx/Spark.jl > > > There's still *a lot* of work to do (Spark API is *huge*), but Spark.jl > already supports: > > - map and reduce functions, as well as map_partitions, > map_partitions_with_index, count, collect and others; > - text files on local disk and HDFS (and theoretically and > Hadoop-compatible file system); > - local, Standalone and Mesos masters (YARN is quite different, though > I work hard to add it as well); > - adding custom JARs and other files > > See Roadmap <https://github.com/dfdx/Spark.jl/issues/1> for detailed > status and nearest plans. > > Since Spark's API is so wide and it's hard to prioritize, *I heavily > encourage users to submit bugs and feature requests*. Fill free to open > new issues or add +1 to push a feature. And as usual, bug reports and pull > requests are welcome too. > > *Question to the community:* should this package be transferred to some > Julia organization (e.g. JuliaParallel) to make it easier to discover? >
