That is very useful~~ :-)
On Fri, May 18, 2018 at 11:56 AM, ShaoFeng Shi
wrote:
> Hello, Kylin and Spark users,
>
> A doc is newly added in Apache Kylin website on how to using Kylin as a
> data source in Spark;
> This can help the users who want to use Spark to
Hi guys,
What's the best way to create feature column with Weight of Evidence
calculated for categorical columns on target column (both Binary and
Multi-Class)?
Any insight?
Thanks,
Aakash.
hi,
please try to reduce the default heap size for the machine you use to submit
applications:
For example:
export _JAVA_OPTIONS="-Xmx512M"
The submitter which is also a JVM does not need to reserve lots of memory.
Wei
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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
I already gave my recommendation in my very first reply to this thread...
On Fri, May 25, 2018 at 10:23 AM, raksja wrote:
> ok, when to use what?
> do you have any recommendation?
>
>
>
> --
> Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/
>
>
ok, when to use what?
do you have any recommendation?
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On Fri, May 25, 2018 at 10:18 AM, raksja wrote:
> InProcessLauncher would just start a subprocess as you mentioned earlier.
No. As the name says, it runs things in the same process.
--
Marcelo
-
To
When you mean spark uses, did you meant this
https://github.com/apache/spark/blob/master/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala?
InProcessLauncher would just start a subprocess as you mentioned earlier.
How about this, does this makes a rest api call to
That's what Spark uses.
On Fri, May 25, 2018 at 10:09 AM, raksja wrote:
> thanks for the reply.
>
> Have you tried submit a spark job directly to Yarn using YarnClient.
> https://hadoop.apache.org/docs/r2.6.0/api/org/apache/hadoop/yarn/client/api/YarnClient.html
>
> Not
thanks for the reply.
Have you tried submit a spark job directly to Yarn using YarnClient.
https://hadoop.apache.org/docs/r2.6.0/api/org/apache/hadoop/yarn/client/api/YarnClient.html
Not sure whether its performant and scalable?
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I am not sure about Redshift, but I know the target table is not partitioned.
But we should be able to just insert into non-partitioned remote table from 12
clients concurrently, right?
Even let's say Redshift doesn't allow concurrently write, then Spark Driver
will detect this and
Can your database receive the writes concurrently ? Ie do you make sure that
each executor writes into a different partition at database side ?
> On 25. May 2018, at 16:42, Yong Zhang wrote:
>
> Spark version 2.2.0
>
>
> We are trying to write a DataFrame to remote
Ajay, You can use Sqoop if wants to ingest data to HDFS. This is POC where
customer wants to prove that Spark ETL would be faster than C# based raw
SQL Statements. That's all, There are no time-stamp based columns in Source
tables to make it incremental load.
On Thu, May 24, 2018 at 1:08 AM, ayan
Hi Jacek,
This is exact what i'm looking for. Thanks!!
Also thanks for the link. I just noticed that I can unfold the link of
trigger and see the examples in java and scala languages - what a general
help for a new comer :-)
Hi Peter,
> Basically I need to find a way to set the batch-interval in (b), similar
as in (a) below.
That's trigger method on DataStreamWriter.
http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.streaming.DataStreamWriter
import
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