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

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
Udemy Course of Code Decode on Microservice k8s AWS CICD link:
openinapp.co/udemycourse
Course Description Video :
yt.openinapp.co/dmjvd
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
Most Asked Core Java Interview Questions and Answers: • Core Java frequently a...
Advance Java Interview Questions and Answers: • Advance Java Interview...
Java 8 Interview Questions and Answers: • Java 8 Interview Quest...
Hibernate Interview Questions and Answers:
• Hibernate Interview Qu...
Spring Boot Interview Questions and Answers:
• Advance Java Interview...
Angular Playlist: • Angular Course Introdu...
SQL Playlist: • SQL Interview Question...
GIT: • GIT
Subscriber and Follow Code Decode
Subscriber Code Decode: czcams.com/users/CodeDecode?...
LinkedIn : / codedecodeyoutube
Instagram: / codedecode25
#elasticsearch #interviewquestions #codedecode

[@sayanbiswas8847]

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]

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

[@thamizhmurasup554]

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]

Thanks a lot🙏🙏😇😇. Sure👍👍

[@gt4april]

Thank u so much so brief and crisp video.

[@CodeDecode]

😊👍

[@tarakpavanphanisatyatallur4355]

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

[@CodeDecode]

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

[@saisubramanian6908]

Very well explained with enough details to grasp

[@CodeDecode]

Thanks Sai 😊👍

[@yash1822]

thank you, great explanation and slides.

[@CodeDecode]

You are welcome!

[@abhishekverma5928]

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

[@CodeDecode]

Sure Abhishek 👍

[@vidyashree5]

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

[@CodeDecode]

sure we will cover it soon

[@anupamakushwah6142]

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

[@CodeDecode]

Sure Anupama🙂👍

[@pankajkm884]

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]

Thanks Pankaj. Sure we will do that👍👍

[@areshbabu]

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

[@CodeDecode]

sure we will cover it soon

[@digitaldiaries2819]

thanks for such a great content ☺️

[@CodeDecode]

🙂🙂

[@vipinrathore6538]

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

[@CodeDecode]

Thanks sure 👍👍

[@vipinrathore6538]

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

[@swapnilchavhan480]

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

[@CodeDecode]

Sure Swapnil 👍👍

[@onkarjoshi987]

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

[@CodeDecode]

Sure onkar 👍👍

[@sameer9368]

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

[@CodeDecode]

sure sameer we will create demo soon

[@Nexatek]

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

[@anuhyabolla7891]

Great video continue with next part

[@CodeDecode]

Sure 👍

[@prasadareddy-gs5xz]

Thank you madam for the brief explanation

[@CodeDecode]

😊👍

[@laxmannayak1302]

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.....

[@CodeDecode]

Sure Laxman 👍

[@rishiraj2548]

👍👍 Thanks

[@CodeDecode]

you're welcome

[@lohir446]

unbeatable effort

[@CodeDecode]

Thanks

[@pranawkaushal2932]

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

[@user-fw7tm7mq7d]

Great teaching skills

[@CodeDecode]

Thanks

[@ruhinapatel6530]

Mam plz continue your videos on Elastic Search

[@CodeDecode]

sure we will create it soon

[@adarshdwivedi5395]

Very helf full

[@CodeDecode]

Thanks

[@rishiraj2548]

Thanks

[@CodeDecode]

You're welcome Rishi

[@Jashan77114]

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]

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

[@rishiraj2548]

🎉🎉

[@raghavendrac1053]

Please make vedios on spring data mongodb criteria queries

[@CodeDecode]

Sure 👍👍

[@harshitgupta4208]

Any video on advance elastic search..

[@CodeDecode]

Soon harshit 👍

[@nithyas2314]

Can u create a video on elastic search creation?

[@CodeDecode]

Sure 👍👍🙂

[@shrutisachan4725]

Please we want to know how ElasticSerach Demo is created

[@CodeDecode]

Sure Shruti we will create it soon

[@chandrujamballi9037]

This to fast and here looks like reading document not explining

[@CodeDecode]

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