Why not directly access the S3 file from Spark?
You need to configure the IAM roles so that the machine running the S3 code is
allowed to access the bucket.
> Am 24.10.2018 um 06:40 schrieb Divya Gehlot :
>
> Hi Omer ,
> Here are couple of the solutions which you can implement for your use
Hi Omer ,
Here are couple of the solutions which you can implement for your use case
:
*Option 1 : *
you can mount the S3 bucket as local file system
Here are the details :
https://cloud.netapp.com/blog/amazon-s3-as-a-file-system
*Option 2 :*
You can use Amazon Glue for your use case
here are the
I have the same question. Trying to figure out how to get ALS to complete
with larger dataset. It seems to get stuck on "Count" from what I can tell.
I'm running 8 r4.4xlarge instances on Amazon EMR. The dataset is 80 GB (just
to give some idea of size). I assumed Spark could handle this, but
I believe I may be able to reproduce this now, it seems like it may be
something to do with many jobs at once:
Spark 2.3.1
> spark-shell --conf spark.ui.retainedJobs=1
scala> import scala.concurrent._
scala> import scala.concurrent.ExecutionContext.Implicits.global
scala> for (i <- 0 until
Hi guys,
We are using Apache Spark on a local machine.
I need to implement the scenario below.
In the initial load:
1. CRM application will send a file to a folder. This file contains customer
information of all customers. This file is in a folder in the local server.
File name is:
