Data Caching in Apache Spark | Optimizing performance using Caching | When and when not to cache

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  • Опубліковано 27 сер 2024
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КОМЕНТАРІ • 23

  • @gurumoorthysivakolunthu9878
    @gurumoorthysivakolunthu9878 Місяць тому

    Very detailed... best ever explanation of a topic, Sir... This is amazing... Thank you, Sir....

  • @sandeepnarwal8782
    @sandeepnarwal8782 5 місяців тому

    Best Video on UA-cam

  • @williamhaque6183
    @williamhaque6183 4 місяці тому

    Wonderful. Cleared a lot of doubt.

  • @machisri
    @machisri 13 днів тому

    sir, Could you make a video on Generative AI in Databricks ( LLM, LongChain, DBRX, HuggingFace, MLFlow)

  • @andre__luiz__
    @andre__luiz__ 10 місяців тому

    the best teacher!!!!!

  • @srinubathina7191
    @srinubathina7191 4 місяці тому

    Wow super content
    Thank You Sir

  • @rajat_ComedyCorner
    @rajat_ComedyCorner 4 місяці тому

    Great job, Sir

  • @soumikdas7709
    @soumikdas7709 Місяць тому

    Nice explanation

  • @jayaananthjayaram9228
    @jayaananthjayaram9228 11 місяців тому +1

    can you post how to use iceberg in emr or using pyspark

  • @nagabadsha
    @nagabadsha 7 місяців тому

    Well explained, Thanks

  • @omkarm7865
    @omkarm7865 11 місяців тому

    great explanation

  • @jay_rana
    @jay_rana 7 місяців тому

    where is the next part of the video, can you drop the link ?

  • @balaji348
    @balaji348 11 місяців тому

    Sir, please share writing spark streaming from Kafka topic and with consumer record and again sending that record to another topic

  • @jsnode7696
    @jsnode7696 11 місяців тому

    I took your udemy course, its great. I have a doubt
    I have a hive table, having parquet files with different schema(2 columns varying in data type)
    when reading the data as dataframe, and writing it to another table, I am getting error:Parquet files cannot be converted
    How to handle with schema data type mismatch ?

  • @gautam0086
    @gautam0086 11 місяців тому

    Very informative, thx

  • @nareshdulam58
    @nareshdulam58 11 місяців тому +1

    Are you going to answer rest of question on what happens to cache if table/view data modified?

    • @ScholarNest
      @ScholarNest  11 місяців тому +1

      It is automatically refreshed

    • @nareshdulam58
      @nareshdulam58 11 місяців тому

      Thank you @@ScholarNest .

    • @Ramakrishna410
      @Ramakrishna410 5 місяців тому

      How it is automatically refreshed..can you make an video on modified cache

    • @Ramakrishna410
      @Ramakrishna410 5 місяців тому

      It will bring only from memory after cache, but how spark onows if new data in source table when we are not reading the table..

    • @prasadpatil5397
      @prasadpatil5397 25 днів тому

      When actual data changes, the resulted cache data is immediately invalidated.
      Any query after that onwords have used, the cache results set will query the database again and re populate the cache. So this way cache data remain synchronised with source dataframe.

  • @debojitpaul5779
    @debojitpaul5779 8 місяців тому

    Where I acn find the whole video series?

  • @karthikeyanr1171
    @karthikeyanr1171 4 місяці тому

    Although the content is good, Too lengthy video to explain this concept
    This whole concept could be covered shortly