The issue is resolved. Resolution is little weird but it worked. It was due
to scala version mismatch with projects in my package.
On Wed, 20 Jan 2021 at 18:07, Mich Talebzadeh
wrote:
> Hi Vikas,
>
> Are you running this on your local laptop etc or using some IDE etc?
>
> What is your available
Hi Vikas,
Are you running this on your local laptop etc or using some IDE etc?
What is your available memory for Spark?
Start with minimum set like below
def spark_session_local(appName):
return SparkSession.builder \
.master('local[1]') \
.appName(appName) \
Hi Sachit,
I am running it in local. My IP mentioned is the private IP address and
therefore it is useless for anyone.
On Wed, 20 Jan 2021 at 17:37, Sachit Murarka
wrote:
> Hi Vikas
>
> 1. Are you running in local mode? Master has local[*]
> 2. Pls mask the ip or confidential info while
Hi Vikas
1. Are you running in local mode? Master has local[*]
2. Pls mask the ip or confidential info while sharing logs
Thanks
Sachit
On Wed, 20 Jan 2021, 17:35 Vikas Garg, wrote:
> Hi,
>
> I am facing issue with spark executor. I am struggling with this issue
> since last many days and
