Spark Interview Questions | Spark Context Vs Spark Session
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- Опубликовано: 27 мар 2020
- #Spark #Context vs #Session
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By far the best explanation after researching for a few days. I think main take away is config is moved from sc to each session, creating independently isolated sessions via one overall sc for the cluster.
Thank you, explained very well. better than anything i read/ referred before
Your Welcome:)
Very nice, keep them coming
All the lectures really helping me to understand deeper. Thanks
Thanks :)
The best explanation I ever get about Spark Session and Spark Context.
Thanks :)
Viresh, Please mention the version of spark in the Slide on the top @4:25 and @5:45 as an improvement to slides.
Very nice explanation. Crisp and clear.
Thanks :)
Great explanation. Quick question: What Code Editor/IDE are you using at 7:06 ? If its specific to Scala, what is best code editor/IDE for pySpark ?
I am using Databricks Notebooks, for PySpark - PyCharm is a good IDE.
I have a doubt, in this scenario if we have 2 spark sessions for a single spark context, when spark context goes down will all 2 spark sessions killed? Please confirm.
Correct
Had a query....Suppose I have a spark-submit job, does this mean I can create multiple spark session within .scala code of this spark-submit job
one spark-submit job can have only one spark session
@@TechWithViresh so my doubt is one spark-submit will have only one spark session along with spark context ? What is the use of having both.
2- what is the meaning of multiple user/ multiple sessions.
I am not clear
Viresh, can you make video on spark architectire ,because i had gone through so many videos of spark architecture but i m not satisfying, so can you make deeper spark architecture video.
check these videos : ruclips.net/video/JSvzGJC8vjQ/видео.html
ruclips.net/video/LfsL4ot6iSU/видео.html
is possible to get sparksession id from python/pyspark?
Yes
In case of multiple spark sessions can the data/dataframe of each session interact with each other? Can we take output from both spark session and do a union operation?
I tried this scenario and it works..we can perform union or two DFs from diff spark session can interact.
@@MrVivekc can you please let me know some use case scenarios where we can use multiple spark sessions?