ps://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>
>
> https://en.everybodywiki.com/Mich_Talebzadeh
>
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying
I may be ignorant of other debugging methods in Spark but the best success
I've had is using smaller datasets (if runs take a long time) and adding
intermediate output steps. This is quite different from application
development in non-distributed systems where a debugger is trivial to
attach but I
Good idea, at the company I work at we discussed using Scala as our primary
language because technically it is slightly stronger than python but
ultimately chose python in the end as it’s easier for other devs to be on
boarded to our platform and future hiring for the team etc would be easier
On
Hi,
I'm wanting to start contributing to the Spark project, do I need a Jira
account at https://issues.apache.org/jira/projects/SPARK/summary before I'm
able to do this? If so can one please be created with this email address?
Thank you
apologies, the code should read as below
from threading import Thread
context = pyspark.sql.SparkSession.builder.appName("spark").getOrCreate()
t1 = Thread(target=my_func, args=(context,))
t1.start()
t2 = Thread(target=my_func, args=(context,))
t2.start()
On Tue, Dec 13, 2022 at 4:
Hi Kevin,
I had a similar use case (see below code) but with something that wasn’t
spark related. I think the below should work for you, you may need to edit
the context variable to suit your needs but hopefully it gives the general
idea of sharing a single object between multiple threads.
