Humble reminder
On Sat, Apr 11, 2015 at 12:16 PM, Suraj Shetiya
wrote:
> Hi,
>
> Below is one line from the json file.
> I have highlighted the field that represents the date.
>
> "YEAR":2015,"QUARTER":1,"MONTH":1,"DAY_OF_MONTH":31,"DAY_OF_WEEK":6,
> *"FL_DATE":"2015-01-31"*,"UNIQUE_CARRIER":"NK
Hi,
Suppose I create a dataRDD which extends RDD[Row], and each row is
GenericMutableRow(Array(Int, Array[Byte])). A same Array[Byte] object is
reused among rows but has different content each time. When I convert it to
a dataFrame and save it as Parquet File, the file's row group statistic(max
&
I'm working on adding a data-graph to the Spark jobs page (rendered by
stagePage.scala) to help users analyze the different job phases visually.
I've already made a mockup using "dummy data" and D3.js but I'm having some
difficulties integrating my JavaScript code with the Scala code of Spark.
Ess
>From SparkUI.scala :
def getUIPort(conf: SparkConf): Int = {
conf.getInt("spark.ui.port", SparkUI.DEFAULT_PORT)
}
Better retrieve effective UI port before probing.
Cheers
On Sat, Apr 11, 2015 at 2:38 PM, Nicholas Chammas <
nicholas.cham...@gmail.com> wrote:
> So basically, to tell if t
Yeah thats the best I can think ok -- Not sure if there is a better way to
do it.
On Sat, Apr 11, 2015 at 2:38 PM, Nicholas Chammas <
nicholas.cham...@gmail.com> wrote:
> So basically, to tell if the master is ready to accept slaves, just poll
> http://master-node:4040 for an HTTP 200 response?
>
+1 (non-binding)
On Sat, Apr 11, 2015 at 11:48 AM Krishna Sankar wrote:
> +1. All tests OK (same as RC2)
> Cheers
>
>
> On Fri, Apr 10, 2015 at 11:05 PM, Patrick Wendell
> wrote:
>
> > Please vote on releasing the following candidate as Apache Spark version
> > 1.3.1!
> >
> > The tag to be vo
So basically, to tell if the master is ready to accept slaves, just poll
http://master-node:4040 for an HTTP 200 response?
On Sat, Apr 11, 2015 at 2:42 PM Shivaram Venkataraman <
shiva...@eecs.berkeley.edu> wrote:
> Yeah from what I remember it was set defensively. I don't know of a good
> way
+1. All tests OK (same as RC2)
Cheers
On Fri, Apr 10, 2015 at 11:05 PM, Patrick Wendell
wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 1.3.1!
>
> The tag to be voted on is v1.3.1-rc2 (commit 3e83913):
>
> https://git-wip-us.apache.org/repos/asf?p=spark.git;a
Yeah from what I remember it was set defensively. I don't know of a good
way to check if the master is up though. I guess we could poll the Master
Web UI and see if we get a 200/ok response
Shivaram
On Fri, Apr 10, 2015 at 8:24 PM, Nicholas Chammas <
nicholas.cham...@gmail.com> wrote:
> Check th
+1
On Fri, Apr 10, 2015 at 11:07 PM -0700, "Patrick Wendell"
wrote:
Please vote on releasing the following candidate as Apache Spark version 1.3.1!
The tag to be voted on is v1.3.1-rc2 (commit 3e83913):
https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=3e8391327ba586
+1 same result as last time.
On Sat, Apr 11, 2015 at 7:05 AM, Patrick Wendell wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 1.3.1!
>
> The tag to be voted on is v1.3.1-rc2 (commit 3e83913):
> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=3e8
Hi Dmitriy,
Thanks for the input, I think as per my previous email it would be good to
have a bridge project that for example, creates a IgniteFS RDD, similar to
the JDBC or HDFS one in which we can extract blocks and populate RDD
partitions, I'll post this proposal on your list.
Thanks
Devl
O
Welcome, Dmitriy, to the Spark dev list!
On Sat, Apr 11, 2015 at 1:14 AM, Dmitriy Setrakyan
wrote:
> Hello Everyone,
>
> I am one of the committers to Apache Ignite and have noticed some talks on
> this dev list about integrating Ignite In-Memory File System (IgniteFS)
> with Spark. We definite
Hello Everyone,
I am one of the committers to Apache Ignite and have noticed some talks on
this dev list about integrating Ignite In-Memory File System (IgniteFS)
with Spark. We definitely like the idea. If you have any questions about
Apache Ignite at all, feel free to forward them to the Ignite
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