spark sql engine in spark | Lec-8

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  • Опубликовано: 16 окт 2024

Комментарии • 51

  • @dineshpandey5008
    @dineshpandey5008 Месяц назад +1

    I have watched so many videos of spark but never find such explanation... amazing ..... You have very deep knowledge about spark.... solute....

  • @lucky_raiser
    @lucky_raiser Год назад +11

    bro, why do not you ask people to like , share, and subscribe. such a great content, it needs to be reached to more audience.

  • @jaypurohit5566
    @jaypurohit5566 2 месяца назад +1

    What a Great explanation.. This series is so useful. Highly appreciate your efforts.

  • @mohammedasif4349
    @mohammedasif4349 11 дней назад

    Tum bahut mast kaam karta hai Manish Bhai

  • @RahulRajSingh-z4i
    @RahulRajSingh-z4i 9 месяцев назад +1

    This is series is liquid gold amazing content❤

  • @AkankshaAher-o1i
    @AkankshaAher-o1i Месяц назад

    Your teaching is awesome, understable and very neet to point. Thanku you for your efforts and teching this for free. 😊

  • @Azure-Mahesh
    @Azure-Mahesh 10 месяцев назад +1

    wonderful explanation on DAG & LAZY EVALUATION, Thank you

  • @BlissOfSoul07
    @BlissOfSoul07 10 месяцев назад +7

    How cutely you said Byeee😉

  • @goldykarn5922
    @goldykarn5922 11 месяцев назад +1

    Thank You Bhaiya for this amazing series

  • @manish_kumar_1
    @manish_kumar_1  Год назад

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

  • @DataForgeAcademy
    @DataForgeAcademy Год назад

    Great session, explained in depth. Thanks

  • @darshakkumarranpariya867
    @darshakkumarranpariya867 Год назад

    It's a great series, sir. Highly appreciated

  • @engineerbaaniya4846
    @engineerbaaniya4846 Год назад +1

    Best Playlist for SPark Heads off to you man

  • @Matrix_Mayhem
    @Matrix_Mayhem 10 месяцев назад

    Thanks Manish! Really informative lecture.

  • @HanuamnthReddy
    @HanuamnthReddy 9 месяцев назад

    Buhuth archa bhathayavhain.. thank you nhaya ghee..😊

  • @rohitgaikwad2266
    @rohitgaikwad2266 Год назад

    Thanks Manish . Detailed Explanation.

  • @adityakvs3529
    @adityakvs3529 18 дней назад

    bhai catalyst optimizer is used in job level or entire application level

  • @yashwantdhole7645
    @yashwantdhole7645 11 месяцев назад

    Manish bhai hamara AQE, Dynamic Partition Pruning ye saare optimizations 'Optimised Logical plan' ke phase me bante hai?

  • @rohishzade4107
    @rohishzade4107 2 дня назад

    We cannot directly say Spark SQL engine is a compiler, its not a traditional compiler, but it incorporates some compiler-like behavior.

  • @neerajCHANDRA
    @neerajCHANDRA Год назад +1

    Very nice Manish

  • @lokeshrathi5500
    @lokeshrathi5500 Месяц назад

    What is the use of Physical Plan, what steps are required to create them?

  • @rajnandinipadhy2533
    @rajnandinipadhy2533 10 месяцев назад

    please make a detailed video on catalyst optimizer and tungsten engine

  • @mission_possible
    @mission_possible Год назад

    Thanks for the sessions ...can you please make video on Adaptive Query Execution

  • @bangalibangalore2404
    @bangalibangalore2404 Год назад

    Cost based model banane ke liye usko pata kaise chalta hai ki yeh operation zyada computation cost karega? Uske liye to spark ko actually us process ko karke dekhna parega? Ki metadata se andaja laga leta hai?

  • @meetpatel.47
    @meetpatel.47 Месяц назад

    Where our catalog metadata is stored?
    Means where it store metadata file?
    Spark doesn't support data storage.

  • @mayankkandpal1565
    @mayankkandpal1565 11 месяцев назад

    nice explanation.

  • @ankitachauhan6084
    @ankitachauhan6084 4 месяца назад

    very nice explanation

  • @ChandanKumar-xj3md
    @ChandanKumar-xj3md Год назад

    Hey Manish, waiting for the next spark lecture.

  • @CctnsHelpdesk
    @CctnsHelpdesk 6 месяцев назад

    what is DataFrame/Dataset APIs . is it same as Dataframe while loading the data to dataframe or some kind of API used to read the data and save into dataframe

  • @MayankKumar-if2bs
    @MayankKumar-if2bs Год назад

    Great session so far❤

  • @raghunandan8390
    @raghunandan8390 9 месяцев назад

    You could give definitions for each concept

  • @DpIndia
    @DpIndia Год назад

    Nice Videos

  • @anshukumari6616
    @anshukumari6616 Год назад

    Thanks Manish !!

  • @sankuM
    @sankuM Год назад

    Your series of #spark fundamentals is really helpful, @manish_kumar_1! 🙌🙌 Keep continuing this.. thanks on behalf of all existing/buddying data engineers! :)

  • @riptideking
    @riptideking 8 месяцев назад

    why cont catalog comes before unresolved logical plan? this may reduce the time and cost.

  • @dexterslab7750
    @dexterslab7750 10 месяцев назад +1

    what is the difference between spark engine (which you have explained in spark ecosystem lecture) and spark SQL engine.
    and if they are same then why are we calling it spark SQL engine.?

    • @IamDanish99
      @IamDanish99 10 месяцев назад +1

      I think he mentioned it as spark sql engine. But as far as I know catalyst optimizer is an optimisation framework within Spark sql engine.

    • @bhavyabhagwani5407
      @bhavyabhagwani5407 Месяц назад

      @@IamDanish99 what are you referring to while learning spark?

  • @Abhishektyagi-v3c
    @Abhishektyagi-v3c Год назад

    Thanks Manish for this , was waiting for your next video since last two days. But Please also make video on handling and working with other file formats, such as Parquet, ORC, AVRO it will also be useful.

  • @ManishSharma-fi2vr
    @ManishSharma-fi2vr 5 месяцев назад

    ❤Thank You!

  • @adityakvs3529
    @adityakvs3529 18 дней назад

    Bhai can we meet one meeting i have some doubts in the catalyst optimizer, which i tried resolve online but couldn't

  • @saisreekar7414
    @saisreekar7414 Год назад

    Sir will all these steps will happen in application driver?

  • @ajaypatil1881
    @ajaypatil1881 11 месяцев назад

    bhaiya please spend little bit more time on explaining potential interview questions at the beginning

  • @mohitdaxini3067
    @mohitdaxini3067 Год назад

    Request - Nested json reading without any udf

    • @manish_kumar_1
      @manish_kumar_1  Год назад

      Learn explode function in pyspark. You will get it