I said 500 GB in the video by mistake. It is supposed to be 500MB, and when dividing 500/128, we will get 4 partitions.

@SrihariSrinivasDhanakshirur

5 ай бұрын

I just saw this video and boom u mentioned the same in your comment section

Literally the best and most detailed video on parquet file format on yt. Thank you!

Never saw such a detailed video for parquet file, these videos are really valuable. Really appreciate the efforts put in making these videos

I love how indept you are going, please keep doing it ! We are loving it.

Wah....Itta clarification...maza aa gya...Video kab khatm hui pta hi ni chala....!!! Excellent explanation.

Predicate pushdown - Rows filtering, Projection Pruning/Pushdown - Column filtering. Thanks for the session bro!!

This is the best explanation for parquet file format available online. Thanks Manish.

The best explanation!!! Your videos are giving me motivation and inspiration to keep learning spark!

Very detailed awesome video!! Thanks

highly informative and detailed video on parquet. Thanks a lot Manish!

Thanks for this Manish! Great Work!

the best explanation ! you are a wonderful teacher

Someone ask me in interview about internals of parquet file format and i couldn't answer it,Then i found your video.Now i can explain easily.Best video on parquet file format.

Excellent video. Thank you :)

Hats of Manish, Please keep doing the good work :)

Hi Manish, thanks for such smooth explanation of not just information related to parquet but also things related to it, kudos to your efforts :D

Hi Manish, the parquet file detail class was classic example for how to present something .if same like this avro and orc file format classes can be discussed then it would be really helpful. Nowadays the interviewer is asking on those as well

bhai, maza aa gya, thanks bro

Thank you so much for putting in so much time for making this video

really awesome explanation

Thanks! for this masterpiece

This is so far the best video in which I got to know in depth knowledge of parquet and very easy to understand. Thankyou so much for sharing your knowledge.!! Could you please share the video having optimization of parquet?

Hello Manish, excellent explanation, hats off to you. When will you give optimization video on parquet eagerly waiting for it

Very nice.

Superb bro … very helpful thanks 🙏🏻

what a gem you are

Thanks Manish

Thanks Manish 🙂

Hi Manish, great explanation of parquet i'm using parquet but didn't know about these features which made things fast how were you able to learn all this knowledge please suggest any documentation/resources to get deep understanding like this. you made my day. Thank you 😊

informative Thanks

Please make a video on avro file format in detail because I faced challenges when interviewers asked about avro file format questions

Thanks Sir

Also please explain Bucketing and partitioning

Please make video on ORC and Avro as well

nice explaination brother

@prathamesh_a_k

7 ай бұрын

can you make one video on ORC also

❤

Nested json to data frame explain kijiyee na

How one will understand in which 1L records we need to fetch the data. Still we need to scan the complete file. Isn't it? Kindly explain

Manish, if we are writing parquet by making the files already sorted in asc or desc then the process of retrieval of data would be faster right? Because in row_number's meta data would have min and Max value in a certain range? Please correct me if I am wrong.

One doubt, I did not understand the logical partitioning completely, it resembles with file size we can set in spark config. Please help me understand it

@manish_kumar_1 Sir kya mast content banaya, maja aa gaya, thank you!

error occured while processing file ?? yeh error continous hai...help:

unable to install parquet-tools. can you help or point n right direction

Null kaise write hota hai disk pe??

😇

Hi manish sir,Thanks for bringing such valuable info ..I have a question like how can we handle schema evaluation in parquet

@manish_kumar_1

Жыл бұрын

I didn't get you

@mohitdaxini3067

Жыл бұрын

I think he wants to about shema evolution

@sankuM

Жыл бұрын

@@manish_kumar_1 I think @pankajsolunke3714 is asking how to handle schema evolution in parquet if we can?

Hello Manish, i really like your videos, thanks for the efforts you put in. Have a question, can you please tell a good tutorial/course that we can go through to get really good at pyspark, if not a single resource then what are the various resources that we can go through to get good at pyspark coding.

@manish_kumar_1

Жыл бұрын

You don't need a course. Still if you want to go for a course then you can buy a udemy course by Prashant Pandey titled pyspark for Beginner. Rest depends on you ki how much questions you want to solve. Solve more problems rather than running behind multiple courses. Practice is the key to success not a number of course you have done.

@sankuM

Жыл бұрын

sparkbyexamples is the RESOURCE we need for practice!! :)

@royalkumar7658

11 ай бұрын

Where can we practice spark from?

@royalkumar7658

11 ай бұрын

​@@manish_kumar_1 where can we practice spark from??

@manish_kumar_1

11 ай бұрын

@@royalkumar7658 Leet code se. Aap playlist start se follow kijiye tab Pata chal jayega kaha se and kaise

Manish bhai, nested json?

bhai 500gb data mein 4 row kyun rakhe gaye and manish bhai 128mb hota hai . aap explain kar sakte ho aisa kyun bhai

sir, parquet file download nahi ho raha he github se

hii bro each row grop stores 128mb or 128 gb data you told 128mb bur for for 500gb you told 4 row groups you are talking about 500mb or 500gb

Hi Manish, thank you for the information. Please can you elaborate whats the default value of 128 MB and when we have 500 GB data how does that convert to 4 row groups? Thank you

@manish_kumar_1

Жыл бұрын

500 mb not gb. 500 divided by 128 I.e 4. 4 block of data will be created. So the thing is we have a default block size of 128 MB in hdfs and multiple cloud service provider also use the same block size. So let say if you have 140 mb data that means one partition will be of 128 mb and next partition will be having just 12 mb of data.

@AnubhavTayal

Жыл бұрын

@@manish_kumar_1 thank you so much!

Cmd-parquet-tool issue

Directly connect with me on:- topmate.io/manish_kumar25

Where is the nested JSON video? You said you will make a separate video on it in the previous lecture "how to read json file in Pysaprk"

@manish_kumar_1

5 ай бұрын

Lec 23

sir please make short video to downloadd and install parquet tool

@manish_kumar_1

Жыл бұрын

Sure

Hi Manish, In the last video, you told that u will explain about nested json in further videos. Where can i find that?

@manish_kumar_1

11 ай бұрын

I have not done yet. I will try to make one soon.

@220piyush

3 ай бұрын

Yaar bhaiya wo bana do pls. Industry to usi pe chal ri

Hi Manish, what is projection pruning? Unable to find it on Google. Or is it Partition Pruning*? Can you please explain/clarify?

@manish_kumar_1

Жыл бұрын

Projection pushdown Hota hai jisme columns ki pruning hoti hai. So Projection pushdown ya Projection pruning same hai.

@rpraveenkumar007

Жыл бұрын

@@manish_kumar_1 thanks for clarifying!

Stage failure error show

Example of Modi ji for finding age >18 was highlight of the video

@manish_kumar_1

8 ай бұрын

😂😂

Hey @manish_kumar_1, I was able to use the modes (append, overwrite, etc.) using this command: df.write.option("header", first_row_is_header) \ .option("sep", delimiter) \ .mode("Overwrite") \ .csv(file_location) All other ways of writing is returning error on Databricks if the file exists.. even if we're trying to append the data..! :| Unsure why is this happening...! :\

@manish_kumar_1

Жыл бұрын

Same here. May be due to community edition. In production environment it does work

@sankuM

Жыл бұрын

@@manish_kumar_1 oh..okay! Still weird, though!!! I'm yet to try databricks in production..

anybody help me please i cant read parquet file using command prompt

@manish_kumar_1

Жыл бұрын

Koi issue nahi hai. Aap direct databricks me read kar lijiye. Ek baar video ko bas sahi se dekh lijiyega

@dineshboliwar9545

Жыл бұрын

@manish_kumar_1 databricks me kr liya h command prompt ka nhi ho rha h

Your content is good.Why don't you do videoes in English.

@manish_kumar_1

Жыл бұрын

english nahi aati hai 😒. Just joking, I may record a session in future but not for now.

@izahmad90

11 ай бұрын

kzread.info/dash/bejne/rIFmsaN6pq2vpLQ.html&ab_channel=knowledgeEpicenter (We are making videos for those people for whom no one is making videos.)

21:25 500 GB or 500 Mb ?

@220piyush

3 ай бұрын

500 mb

Please drop your twitter or X account. I will promote you. You are the only person on youtube who is actually teaching something useful in DE filed. That TOO IN HINDI. Great work and great effort. God Bless You !!

@manish_kumar_1

6 күн бұрын

I don't have ex😂😂. Sorry I mean this X

@KavyaPristha

6 күн бұрын

@@manish_kumar_1 Hahaha. Please create one than. It pays better than KZread

@manish_kumar_1

6 күн бұрын

@@KavyaPristha oh is it. I did not know about this.

import pyarrow as pa import pyarrow.parquet as pq parquet_file = pq.ParquetFile(r'C:\Users\DELL\Desktop\part-r-00000-1a9822ba-b8fb-4d8e-844a-ea30d0801b9e.gz.parquet') parquet_file.metadata parquet_file.metadata.row_group(0) parquet_file.metadata.row_group(0).column(0) parquet_file.metadata.row_group(0).column(0).statistics Not able to see any output with this file. Not sure why

@manish_kumar_1

Жыл бұрын

Error v nhi aa rha?

Thanks sir