spark.local.dir
http://spark.apache.org/docs/latest/configuration.html
On Fri, Apr 28, 2017 at 8:51 AM, Shashi Vishwakarma <
shashi.vish...@gmail.com> wrote:
> Yes I am using HDFS .Just trying to understand couple of point.
>
> There would be two kind of encryption which would be required.
>
>
Yes I am using HDFS .Just trying to understand couple of point.
There would be two kind of encryption which would be required.
1. Data in Motion - This could be achieved by enabling SSL -
Why don't you use whole disk encryption?
Are you using HDFS?
> On 28. Apr 2017, at 16:57, Shashi Vishwakarma
> wrote:
>
> Agreed Jorn. Disk encryption is one option that will help to secure data but
> how do I know at which location Spark is spilling temp file,
Agreed Jorn. Disk encryption is one option that will help to secure data
but how do I know at which location Spark is spilling temp file, shuffle
data and application data ?
Thanks
Shashi
On Fri, Apr 28, 2017 at 3:54 PM, Jörn Franke wrote:
> You can use disk encryption as
You can use disk encryption as provided by the operating system. Additionally,
you may think about shredding disks after they are not used anymore.
> On 28. Apr 2017, at 14:45, Shashi Vishwakarma
> wrote:
>
> Hi All
>
> I was dealing with one the spark requirement
Kerberos is not a apache project. Kerberos provides a way to do
authentication but does not provide data security.
On Fri, Apr 28, 2017 at 3:24 PM, veera satya nv Dantuluri <
dvsnva...@gmail.com> wrote:
> Hi Shashi,
>
> Based on your requirement for securing data, we can use Apache kebros, or
>
Hi Shashi,
Based on your requirement for securing data, we can use Apache kebros, or we
could use the security feature in Spark.
> On Apr 28, 2017, at 8:45 AM, Shashi Vishwakarma
> wrote:
>
> Hi All
>
> I was dealing with one the spark requirement here where
Hi All
I was dealing with one the spark requirement here where Client (like
Banking Client where security is major concern) needs all spark processing
should happen securely.
For example all communication happening between spark client and server (
driver & executor communication) should be on