A search bar is a field that is essential when there is a huge amount of data to work. It helps in filtering data based on our custom requirements. Moreover, it saves a lot of time and effort for the programmers working on the data.
Problem Statement:-
How to handle the search bar when we have huge data
Description of the Issue:-
I was working in NodeJS when I encountered this issue. There was a huge amount of data that had to be filtered based on the columns. I used the search bar to filter the details based on all columns. I was able to process the search, but it took a lot, and the performance declined rapidly. I understood that following this process will not help me in filtering the data.
The Solution Offered:-
Finally, I was able to use Amazon Elasticsearch Service to filter the data. Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud. In my case, I was able to install it in NodeJS as an NPM package, which converted all the data into the index and filtered the data in less than no time. I saved a lot of time, and my efforts in filtering data did not go in vain.
Technologies or Frameworks or Tools:-
NodeJS is an open-source runtime environment that uses JavaScript to code in front-end and back-end. Moreover, NodeJS uses a V8 engine that compiles JavaScript into native machine code directly, which leads to an increase in speed and efficient execution of the code. NodeJS also has an active community that is huge and includes a network of developers that contribute to several projects and help budding developers that are stuck while working in NodeJS.
Platforms (Web, Mobile, Etc.) – Web
Server or OS – AWS EC2 instance.
Referral/ Support links – https://aws.amazon.com/elasticsearch-service/getting-started
Soft Suave is the top web and mobile app development company in India that houses developers from the top 1% of the talent pool in the world. The developers are highly-experienced, and their expertise extends from all front-end to back-end technologies. If you are stuck with huge data and need a working solution, get in touch with Soft Suave and hire top-rated NodeJS developers and resolve all the errors at a competitive cost.
Madhu, the adept Project Manager at Soft Suave Technologies, ensures successful project delivery with a strategic mindset and commitment to excellence. Skilled in frontend (React, Angular) and backend (Node.js, Python) technologies, his leadership fosters continuous improvement. Connect with Madhu to explore how Soft Suave’s projects excel under his guidance.
