Spark performance optimization Part1 | How to do performance optimization in spark

Spark performance optimization is one of the most important activity while writing spark jobs. This video talks in detail about optimizations that can be done at code level to optimize spark jobs.

[@funnysatisfying426]

Very informative 👏👍
Keep such videos coming

[@user-oq2wj5wo6r]

Earlier I watched some videos regarding this topic ,no one can explained in this way ,I am glad to see this video,now clearly understood spark optimization techniques

[@BigDataThoughts]

Thanks

[@SagarSingh-ie8tx]

One of the best explanation on RUclips 😊

[@quadribrothers4396]

Many thanks for making such informative video

[@gunasekaranr8029]

Neat and clean explanation. Looking forward to the videos on Spark Optimization.

[@BigDataThoughts]

Thanks Gunasekaran

[@samk_jg]

All yours tutorials are too good!

[@sunnyd9878]

This is excellent and valuable knowledge sharing... Easily one can make out these trainings are coming out of personal deep hands-on experience and not the mere theory ..Great work

[@BigDataThoughts]

thanks

[@gancan1654]

perfectly went into my brain, what a clean explanation.
can you please do videos on Pyspark from scratch.

[@rajnimehta5156]

Great expectations Mam ... eagerly waiting for your upcoming video

[@BigDataThoughts]

Thanks Rajni

[@user-ew5yr7zp3b]

Excellent.

[@theanatomyofreliability2168]

Thanks for sharing. Very informative .

[@BigDataThoughts]

Thanks karan

[@kiranmudradi26]

Another much needed video on Spark optimizations. point to point. Thank you very much for the video.

[@BigDataThoughts]

Thanks Kiran

[@thedarkknight579]

I only have one word for this video
"Awesome!!"

[@BigDataThoughts]

Thanks

[@sahilmittal7426]

Very Good vedio, awesome work. To the point and one can understand easily

[@BigDataThoughts]

Thanks sahil

[@ramkumarananthapalli7151]

Thanks a lot mam for making these videos. These are extremely useful. One of the best videos I have come across.

[@BigDataThoughts]

Thanks Ram

[@harshmohan8419]

best video on internet for spark performace...

[@BigDataThoughts]

Thanks harsh

[@husnabanu4370]

what a wonderfull explanation to the point... thank you

[@BigDataThoughts]

Thanks

[@namratashinde9157]

It's very very easy to understand whatever you explained, thank you so much

[@BigDataThoughts]

Thanks namrata

[@vibhad-cv4sf]

Very well explained. Loving your videos!❤

[@BigDataThoughts]

Thanks

[@ChethanKarur]

This is excellent maam. Looking forward to watching more videos from you

[@BigDataThoughts]

Thanks Chethan

[@foodietraveller4591]

Nice video mam

[@puneetnaik8719]

Great explaination !!

[@BigDataThoughts]

Thanks Puneet

[@sandeepchoudhary4900]

Awesome explanation of the optimisation techniques. If possible please create a video to cover the realtime challenges which you faced in your project and the solution you provided. That will be really helpful.

[@hemanthkumar9757]

Very good explanation keep create more videos in spark

[@BigDataThoughts]

Thanks

[@ayushgour3984]

Amazing Job Shreya... Keep it Up..

[@BigDataThoughts]

Thanks Ayush

[@terrificmenace]

Nice video it was really good 👍🏻 Thank you

[@BigDataThoughts]

Thanks

[@anirbanrc1]

Great explanation

[@BigDataThoughts]

Thanks

[@arjunkharat121]

Thanks for video ma'am., you made it very simple to understand.. waiting for more video's on this topic and spark

[@BigDataThoughts]

Thanks Arjun

[@BigDataThoughts]

ruclips.net/video/snPYj3TqM1g/видео.html you can chk this too. There are others videos on spark that i have posted

[@satviknaren9681]

REALLY helped me get better at my work

[@BigDataThoughts]

Thanks

[@abhisekhmishra4029]

So nicely explained Shreya..

[@BigDataThoughts]

Thanks Abhishek

[@karthikvenkataram4790]

Ultimate 👏👏👏

[@BigDataThoughts]

Thanks

[@Sharath_NK98]

Tnks Amigo
It's very helpful

[@BigDataThoughts]

thanks

[@khaderbasha7592]

Awesome Shreya, if possible could you please upload realtime challenges which we faced in realtime environment

[@BigDataThoughts]

Thanks Khader

[@Technology_of_world5]

Good explanation 😊

[@BigDataThoughts]

Thanks

[@npl4295]

good optimization tips

[@BigDataThoughts]

Thanks Neethu

[@tanushreenagar3116]

so nice it helped a lot

[@BigDataThoughts]

Thanks tanushree

[@SpiritOfIndiaaa]

thanks a lot , i have case where someother modules write parquet file , i need to process in my module by reading it, so how should i apply bucketing on that day ...can it be possible without writing ???

[@mdatasoft1525]

❤

[@chessforevery1]

where do I get practical session on this optimization technique of spark..?

[@sathisha1702]

If count is not adviced, how can we count the number of rows in data frame?

[@harshalpatel555]

very well explained. but you are telling everything i know to exclude. ?? We need count, group,agg

[@shaileshc4994]

What are configurations file in spark ?
Plz anyone can ans me please

[@mohitupadhayay1439]

Coalesce doesn't do Shuffle and that's why it's less expensive than repartition. I believe.

[@BigDataThoughts]

It does but not as much as repartition. Repartition does entire data shuffle as it can reduce or increase no of partitions.

[@mohitupadhayay1439]

@@BigDataThoughts thanks! Can you build an end to end project or some mini project where one can see how and where these properties arte getting implemented? Just watching these in silos only give half knowledge. Thanks.

[@tolasebrisco6565]

Keep the good work #Prinetechs.
I can clearly see all the good reviews about you man…I never believed my account can fixed after 7 months hahaha

[@ahmedaly6999]

how i join small table with big table but i want to fetch all the data in small table like
the small table is 100k record and large table is 1 milion record
df = smalldf.join(largedf, smalldf.id==largedf.id , how = 'left_outerjoin')
it makes out of memory and i cant do broadcast the small df idont know why what is best case here pls help

[@tolasebrisco6565]

Keep the good work #Prinetechs.
I can clearly see all the good reviews about you man…I never believed my account can fixed after 7 months hahaha

[@tolasebrisco6565]

Keep the good work #Prinetechs.
I can clearly see all the good reviews about you man…I never believed my account can fixed after 7 months hahaha