Hi all,
Before I go the route of rolling my own UDAF:
I'm doing a calculation of last 5 mean so I have the following window
defined:
Window.partitionBy(person).orderBy(timestamp).rowsBetween(-4, Window.currentRow)
Then I calculate the mean over that window.
Within each partition, I'd like the
Hi all,
My company just now approved for some of us to go to Spark Summit in SF
this year. Unfortunately, the day long workshops on Monday are sold out
now. We are considering what we might do instead.
Have others done the 1/2 day certification course before? Is it worth
considering? Does it
Yong Zhang <java8...@hotmail.com> wrote:
> Can't you just catch that exception and return an empty dataframe?
>
>
> Yong
>
>
> ------
> *From:* Sumona Routh <sumos...@gmail.com>
> *Sent:* Wednesday, July 12, 2017 4:36 PM
>
Hi there,
I'm trying to read a list of paths from S3 into a dataframe for a window of
time using the following:
sparkSession.read.parquet(listOfPaths:_*)
In some cases, the path may not be there because there is no data, which is
an acceptable scenario.
However, Spark throws an
Hi Morten,
Were you able to resolve your issue with RandomForest? I am having similar
issues with a newly trained model (that does have larger number of trees,
smaller minInstancesPerNode, which is by design to produce the best
performing model).
I wanted to get some feedback on how you solved
Hi Sam,
I would absolutely be interested in reading a blog write-up of how you are
doing this. We have pieced together a relatively decent pipeline ourselves,
in jenkins, but have many kinks to work out. We also have some new
requirements to start running side by side comparisons of different
line which doesn't compile is what I would want to do (after
outer joining of course, it's not necessary except in that particular case
where a null could be populated in that field).
Thanks,
Sumona
On Tue, Apr 11, 2017 at 9:50 AM Sumona Routh <sumos...@gmail.com> wrote:
> The seq
; .na.fill(0, Seq(“numeric_field1”,"numeric_field2"))
> .na.fill("", Seq(
>“text_field1","text_field2","text_field3”))
>
>
> Notice that you have to differentiate those fields that are meant to be
> filled with an int, from those that require a differ
Hi there,
I have two dataframes that each have some columns which are of list type
(array generated by the collect_list function actually).
I need to outer join these two dfs, however by nature of an outer join I am
sometimes left with null values. Normally I would use df.na.fill(...),
however it
s.
>
> Best
> Ayan
>
> On Fri, 13 Jan 2017 at 5:39 am, Sumona Routh <sumos...@gmail.com> wrote:
>
> Hi all,
> I've been working with Spark mllib 2.0.2 RandomForestClassificationModel.
>
> I encountered two frustrating issues and would really appreciate
Hi all,
I've been working with Spark mllib 2.0.2 RandomForestClassificationModel.
I encountered two frustrating issues and would really appreciate some
advice:
1) RandomForestClassificationModel is effectively not serializable (I
assume it's referencing something that can't be serialized, since
Can anyone provide some guidance on how to get files on the classpath for
our Spark job? This used to work in 1.2, however after upgrading we are
getting nulls when attempting to load resources.
Thanks,
Sumona
On Thu, Jul 21, 2016 at 4:43 PM Sumona Routh <sumos...@gmail.com> wrote:
&g
Hi all,
We are running into a classpath issue when we upgrade our application from
1.2 to 1.6.
In 1.2, we load properties from a flat file (from working directory of the
spark-submit script) using classloader resource approach. This was executed
up front (by the driver) before any processing
Hi there,
Our Spark job had an error (specifically the Cassandra table definition did
not match what was in Cassandra), which threw an exception that logged out
to our spark-submit log.
However ,the UI never showed any failed stage or job. It appeared as if the
job finished without error, which is
_n_zXe51k8z9hVuw4svP6dqWF0JrjabAa==be50a4160f49000256d50b7b>,
> and so you still need to set a big java heap for master.
>
>
>
> -- 原始邮件 --
> *发件人:* "Shixiong(Ryan) Zhu";<shixi...@databricks.com>;
> *发送时间:* 2016年3月
Hi there,
I've been doing some performance tuning of our Spark application, which is
using Spark 1.2.1 standalone. I have been using the spark metrics to graph
out details as I run the jobs, as well as the UI to review the tasks and
stages.
I notice that after my application completes, or is near
SparkContext. In general, SparkListener is
> used to monitor the job progress and collect job information, an you should
> not submit jobs there. Why not submit your jobs in the main thread?
>
> On Wed, Feb 17, 2016 at 7:11 AM, Sumona Routh <sumos...@gmail.com> wrote:
>
&
Can anyone provide some insight into the flow of SparkListeners,
specifically onApplicationEnd? I'm having issues with the SparkContext
being stopped before my final processing can complete.
Thanks!
Sumona
On Mon, Feb 15, 2016 at 8:59 AM Sumona Routh <sumos...@gmail.com> wrote:
> Hi t
Hi there,
I am trying to implement a listener that performs as a post-processor which
stores data about what was processed or erred. With this, I use an RDD that
may or may not change during the course of the application.
My thought was to use onApplicationEnd and then saveToCassandra call to
Hi there,
I am trying to create a listener for my Spark job to do some additional
notifications for failures using this Scala API:
https://spark.apache.org/docs/1.2.1/api/scala/#org.apache.spark.scheduler.JobResult
.
My idea was to write something like this:
override def onJobEnd(jobEnd:
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