What is Elastic search? Elasticsearch Interview Questions and Answers for Experienced | Code Decode

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  • เผยแพร่เมื่อ 15 ก.ย. 2024
  • Elastic search tutorial or what is elastic search in java and why it is very important we have shown in this video of code decode also we have covered most asked elastic search interview questions asked for experienced candidates
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    What Is ElasticSearch?
    Elasticsearch is a NoSQL database.
    ElasticSearch is an open source Search Engine based on Apache Lucene as inverted Text Data structure and it is built with RESTful APIS.
    We use it for Storing, searching and Managing
    Logs
    Search Backend with terrific speed and flexibility.
    It mainly consist of
    Indexes - similar to Database in relational Terms
    Documents - Rows - JSON objects
    Fields - Columns
    It mainly has Read and write operation. you need to update this as soon as you update the main Database and Read it when FE needs Autocomplete feature.
    Why ES ? Most common usage of ElasticSearch?
    In Autocomplete in search Box FrontEnd.
    If you hit Normal DB then Client will wait for a lot of time till it fetch the data and if it change again in worst case the time doubles again
    Such a poor User Experience is not acceptable in User friendly apps.
    Hence ElasticSearch came in for the Rescue.
    Elasticsearch is a fast, distributed , reliable search engine:
    What is a Cluster in Elasticsearch? Explain Node?
    Cluster is a collection of single or multiple nodes that holds your entire data and offers centralized indexing and search abilities across all nodes.
    A node is an elastic search Instance. It is created when an elasticsearch instance begins.
    What is a document in ElasticSearch?
    The document is very similar to a row in relational databases. Every document in the index possess different structure but has the same data type for respective fields.
    MySQL = Databases = Tables = Columns/Rows
    ElasticSearch = Indices = Types = Documents with Properties
    Type : Type is a logical index partition whose semantics are dependent upon the user.
    An Elasticsearch cluster can contain multiple Indices (databases), which in turn contain multiple Types (tables). These types hold multiple Documents (rows), and each document has Properties(columns). EG = University - (students, teachers, subjects) - all internal details of that type
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ความคิดเห็น • 67

  • @sayanbiswas8847
    @sayanbiswas8847 ปีที่แล้ว +5

    Love how you started from basic java interview questions and gradually, steadily moving towards most advanced and important topics. Respect and love to the team of Code Decode.

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว +2

      Thanks a lot Sayan. 🙂🙂 glad to have u with us 🙏🙏. Keep learning keep shining Man⭐✨⭐✨. And thanks a tonn for the first comment🙂🙂

  • @thamizhmurasup554
    @thamizhmurasup554 ปีที่แล้ว +2

    You are a prodigy! I have no words how much your videos helped me for my interviews and learning tech stalks. Keep continuing your phenomenal work for us! Loads of Love and Respect! I am expecting hand on in Elastic Search and Apache Solr!

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      Thanks a lot🙏🙏😇😇. Sure👍👍

  • @tarakpavanphanisatyatallur4355
    @tarakpavanphanisatyatallur4355 ปีที่แล้ว +1

    Real time project demo
    Thanks i understood the core concept of elastic search

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      Glad to hear that 🙂👍👍 keep learning keep shining Man 👍👍

  • @saisubramanian6908
    @saisubramanian6908 ปีที่แล้ว +1

    Very well explained with enough details to grasp

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      Thanks Sai 😊👍

  • @pankajkm884
    @pankajkm884 ปีที่แล้ว +1

    Very important content was uploaded. Thanks for this ELK video and please upload How ELK work, If possible. How to perform a query in elastic search.

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      Thanks Pankaj. Sure we will do that👍👍

  • @gt4april
    @gt4april 2 หลายเดือนก่อน +1

    Thank u so much so brief and crisp video.

    • @CodeDecode
      @CodeDecode  หลายเดือนก่อน

      😊👍

  • @vipinrathore6538
    @vipinrathore6538 ปีที่แล้ว +1

    Thanks for such simple explanation. Please create more videos on Elasticsearch.

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      Thanks sure 👍👍

    • @vipinrathore6538
      @vipinrathore6538 ปีที่แล้ว

      @@CodeDecode Can I get the ptt doc that you used in videos for presentation.

  • @abhishekverma5928
    @abhishekverma5928 ปีที่แล้ว +1

    Very nice video, nicely completed all the theoretical concepts.
    Please create one more video, to show all the coding part and kibana visualisation.

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      Sure Abhishek 👍

  • @prasadareddy-gs5xz
    @prasadareddy-gs5xz 4 หลายเดือนก่อน +1

    Thank you madam for the brief explanation

    • @CodeDecode
      @CodeDecode  4 หลายเดือนก่อน

      😊👍

  • @yash1822
    @yash1822 3 หลายเดือนก่อน +1

    thank you, great explanation and slides.

    • @CodeDecode
      @CodeDecode  3 หลายเดือนก่อน

      You are welcome!

  • @thebestofbest-tbob4212
    @thebestofbest-tbob4212 หลายเดือนก่อน

    Really informative, Please create video for remaining contents also. If created please share the link, I didn't found it.

  • @anupamakushwah6142
    @anupamakushwah6142 ปีที่แล้ว +1

    Love the way you explain topic.Please create a video with the code integration

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      Sure Anupama🙂👍

  • @vidyashree5
    @vidyashree5 ปีที่แล้ว +1

    Great explanation! Please do cover the advanced topics. Thanks.

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      sure we will cover it soon

  • @onkarjoshi987
    @onkarjoshi987 ปีที่แล้ว +1

    Very helpful and easy to understand🙂Please make a video on ElasticSearch Creation demo.

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      Sure onkar 👍👍

  • @swapnilchavhan480
    @swapnilchavhan480 ปีที่แล้ว +1

    Thank you for the amazing videos ,please create on the detail of elastic search in details with demo

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      Sure Swapnil 👍👍

  • @sameer9368
    @sameer9368 ปีที่แล้ว +1

    Mam…I love watching your video…please also make demo video of it

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      sure sameer we will create demo soon

  • @anuhyabolla7891
    @anuhyabolla7891 4 หลายเดือนก่อน +1

    Great video continue with next part

    • @CodeDecode
      @CodeDecode  4 หลายเดือนก่อน

      Sure 👍

  • @ROHINIP-j2n
    @ROHINIP-j2n 5 หลายเดือนก่อน +1

    Great teaching skills

    • @CodeDecode
      @CodeDecode  5 หลายเดือนก่อน

      Thanks

  • @areshbabu
    @areshbabu ปีที่แล้ว +1

    Thanks for the amazing content. Please try to cover advanced topics in elastic search.

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      sure we will cover it soon

  • @digitaldiaries2819
    @digitaldiaries2819 ปีที่แล้ว +2

    thanks for such a great content ☺️

  • @Nexatek
    @Nexatek 3 หลายเดือนก่อน

    Very awesome explanation, crystal clear concepts.. but you pronounce SHARDS as SHRADS or SHREDDS

  • @laxmannayak1302
    @laxmannayak1302 ปีที่แล้ว +1

    Thanks for proving this video content. its really helpful for the interview.
    Can you add some video related to regex Pattern? it will becomes very helpful to everyone.....

  • @ruhinapatel6530
    @ruhinapatel6530 ปีที่แล้ว +1

    Mam plz continue your videos on Elastic Search

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      sure we will create it soon

  • @pranawkaushal2932
    @pranawkaushal2932 ปีที่แล้ว

    Please create one crud operations of elastic search using spring boot
    That will be helpful for most of us

  • @Jashan77114
    @Jashan77114 ปีที่แล้ว +1

    Using amazon opensearch for my client. I am having hard time for writing queries. Like how to use analyser and tokeniser . Can you please make a video on these concepts also?. Btw good explanation in video

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      Sure we will create a seperate video on Amazon open search 👍

  • @adarshdwivedi5395
    @adarshdwivedi5395 10 หลายเดือนก่อน +1

    Very helf full

    • @CodeDecode
      @CodeDecode  10 หลายเดือนก่อน

      Thanks

  • @lohir446
    @lohir446 ปีที่แล้ว +1

    unbeatable effort

  • @chandrujamballi9037
    @chandrujamballi9037 ปีที่แล้ว +2

    This to fast and here looks like reading document not explining

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว

      Apologies for your inconvenience Chandu. What better can we do for you?

  • @rishiraj2548
    @rishiraj2548 ปีที่แล้ว +2

    Thanks

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว +1

      You're welcome Rishi

  • @harshitgupta4208
    @harshitgupta4208 ปีที่แล้ว +1

    Any video on advance elastic search..

  • @rishiraj2548
    @rishiraj2548 ปีที่แล้ว +1

    👍👍 Thanks

  • @raghavendrac1053
    @raghavendrac1053 ปีที่แล้ว +1

    Please make vedios on spring data mongodb criteria queries

  • @shrutisachan4725
    @shrutisachan4725 ปีที่แล้ว +2

    Please we want to know how ElasticSerach Demo is created

    • @CodeDecode
      @CodeDecode  ปีที่แล้ว +1

      Sure Shruti we will create it soon

  • @nithyas2314
    @nithyas2314 ปีที่แล้ว +1

    Can u create a video on elastic search creation?

  • @rishiraj2548
    @rishiraj2548 3 หลายเดือนก่อน

    🎉🎉