driver out of memory spark | spark memory management | Lec-18
In this video I have talked about spark memory management. I have shown how driver OOM occurs in spark. Next video will be on executor OOM. So stay tuned for the next video. If you want to optimize your process in Spark then you should have a solid understanding of this concept.
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Пікірлер: 40
That smile on your face when driver OOM error came😂, shows how much you enjoy teaching us🤗
I have recently joined MNC, and I must say this is so accurate content. thank you so much for sharing your knowledge and experience
Bhai itne easy or detailed way me koi ni samjhata hai. Great work !!
ekdum mast hai bhai ye wala video...keep going
Awesome content please continue the series
hats off bro loving your channel
great video bhaiya
Thanks sir for your great video ❤
perfect video sir
Awesome most asked interview question this channel should get more subscribers and views
@kunalk3830
Жыл бұрын
sab reels dekhne me vyast hai bhai
nice video
Please make the series continue
5:16 literally first guy in my life who is happy to get error.😆
@manish_kumar_1
6 күн бұрын
It's not first time when I was happy with error. Jab bhi hamara code Bina error ke galat output deta hai then I want it to give me error so that I know exactly where to fix this 😀
👍
day 6 done 👍
Can you please make videos in English language. It will be easy to understand .
How would we know that which file is small when we do broadcast Join, please tell me
What are objects here due to which driver overhead oom error occurs? Can you please explain?
What do we mean by container here? Does it has any other name which we studied in earlier videos?
Mastt video! Description me S22 ultra bilkul nahi lena hai aise kyu likha hai 😂
Hi Manish could you please upload same videos in english
i saw few videos they mention max(0.07*memory, 384mb)
ok so garbage collection comes under overhead or jvm heap memory?
@manish_kumar_1
Жыл бұрын
Jvm heap memory
Hi Sir, I have came across some conflicting information regarding show() method. Kindly confirm the below information: The show method does not bring all the data from a single partition to the driver, but rather collects a sample of rows from each partition and display them.
@akhiladevangamath1277
2 ай бұрын
As of my understanding, show method brings all the data from a single partition of single executor to the driver, but displays a sample of rows from that partition.
Hi Manish , when you will arranged live chat ....
@manish_kumar_1
11 ай бұрын
As soon as possible
Bro, please make vedio in English
Hi Manish, Any good resource to lean Scala ?
My driver is stopping while writing a dataframe. I didn't use any action rather than write. We can mot increase cluster configuration. How to resolve the issue? Any suggestion?
@manish_kumar_1
2 ай бұрын
This information is not sufficient to provide some suggestion
Hi Manish, driver programme will run on master node or worker node as you have written Application Master (worker node)?
@amazhobner
7 ай бұрын
Application Master/Driver is Driver node not worker node. Master Node is where your resource manager is, though DB does give option to have RM and AM/D to be on the same machine now.
i think this is Lec-15 but by mistake it is written lec-18 sir
Let's say we read a csv file of 10.1 GB stored in datalake and have to do some filtering of data, how many tasks will run? is there a possibility of, out of memory error in the above scenario?
@manish_kumar_1
11 ай бұрын
10100 mb/128mb = 79 partition. So total 79 task will be created and since you are doing filtering which doesn't require any dependency from other partition which means it is a narrow dependency transformation. Every partition can do it's own filtering. As long as you have more than 500mb of executor size you will not face any oom. But make sure that you are not calling a collect function otherwise you may face driver oom.
@rajnarayanshriwas4653
3 ай бұрын
why 500 mb? @@manish_kumar_1