Hi,
congratulations on the release! I'm always pleased to see how features pop
up in new Spark versions that I had added for myself in a very hackish way
before (such as JSON support for Spark SQL).
I am wondering if there is any good way to learn early about what is going
to be in upcoming versi
Hi Patrick,
This is great news but I nearly missed the announcement because it had
scrolled off the folder view that I have Spark users list messages go
to. 40+ new threads since you sent the email out on Friday evening.
You might consider having someone on your team create a
spark-announce
Thanks for pointing this out Brad! I updated the version identified in the docs.
On Sat, Jul 12, 2014 at 6:08 AM, Brad Miller wrote:
> Hi All,
>
> Congrats to the entire Spark team on the 1.0.1 release.
>
> In checking out the new features, I noticed that it looks like the
> python API docs have
Hi All,
Congrats to the entire Spark team on the 1.0.1 release.
In checking out the new features, I noticed that it looks like the
python API docs have been updated, but the and the header at
the top of the page still say "Spark 1.0.0". Clearly not a big
deal... I just wouldn't want anyone to g
Congrats to the Spark community !
On Friday, July 11, 2014, Patrick Wendell wrote:
> I am happy to announce the availability of Spark 1.0.1! This release
> includes contributions from 70 developers. Spark 1.0.0 includes fixes
> across several areas of Spark, including the core API, PySpark, and
I am happy to announce the availability of Spark 1.0.1! This release
includes contributions from 70 developers. Spark 1.0.0 includes fixes
across several areas of Spark, including the core API, PySpark, and
MLlib. It also includes new features in Spark's (alpha) SQL library,
including support for J