
Closed
Posted
Optimized Solution for Real-Time Display of Liked Articles Here’s a robust and efficient solution to address the challenges of merging and displaying data in real-time without relying on Cloud Functions: --- 1. Database Restructure (Recommended for Scalability) Liked Articles as a Separate Collection: Instead of relying on likedItems as an array in the Users collection, create a dedicated LikedArticles collection. This avoids unnecessary nested querying. LikedArticles Collection Structure: Document ID: Auto-generated or composite key (e.g., userId_articleId). Fields: userId: Reference to the user who liked the article. articleId: Reference to the original article in the Articles collection. modifiedFields: Object storing modified values (e.g., price, description). createdAt: Timestamp for sorting or pagination. --- 2. Real-Time Data Merging Without Cloud Functions Leverage FlutterFlow’s Firestore integration and custom actions to handle real-time data merging: Step-by-Step Implementation 1. Query Liked Articles (Main Listener): Create a real-time query on the LikedArticles collection filtering by userId. This retrieves: References to the original articles (articleId). Modified fields (modifiedFields). 2. Fetch Original Articles (On Demand): Use a secondary query on the Articles collection for all referenced articleIds. FlutterFlow supports combining multiple queries through backend functions or by nesting widgets. 3. Merge Data: Implement a custom action in FlutterFlow or Dart: For each LikedArticle, check if modifiedFields is non-empty. Merge the modifiedFields with the original article data from the Articles collection. This creates a unified object for display. 4. Display the Data: Use FlutterFlow’s ListView or GridView to render the merged list dynamically. Ensure the widget is bound to the real-time listener to reflect updates instantly. --- 3. Alternative Solutions Using Firestore Functions (Only If Necessary): Create a Firestore trigger to update a cached field in LikedArticles with merged data when a user modifies an article. This avoids real-time merging on the frontend but is slower than the direct approach above. --- 4. Benefits of This Approach Real-Time Updates: Both LikedArticles and Articles collections are updated in real-time by Firestore. No Duplication: Only modified fields are stored in LikedArticles. Efficient Queries: Using indexes on userId and articleId ensures scalability for querying large datasets. Frontend Flexibility: The merged data logic resides in the client-side, making it easier to iterate or debug. --- 5. Optional Enhancements Caching: Cache merged results locally to reduce redundant queries when navigating back to the “Liked Articles” page. Pagination: Use createdAt or lastDocId fields for efficient scrolling through a large list of liked articles. --- Would you like detailed code snippets or specific guidance on implementing these steps in FlutterFlow?
Project ID: 38863586
17 proposals
Remote project
Active 1 yr ago
Set your budget and timeframe
Get paid for your work
Outline your proposal
It's free to sign up and bid on jobs
17 freelancers are bidding on average $51 USD/hour for this job

As a seasoned professional with extensive experience in database programming and efficient utilization of MySQL, I am well-equipped to handle the task of implementing a real-time display solution for liked articles. My 18+ years in the industry, combined with my expertise in technologies such as PHP and React Native align perfectly with the requirements of this project. My team at CnELIndia has proven time and again our capacity to deliver high-quality solutions on time and within budget constraints. We fully understand that a robust structure is critical for scalability, which is why we recommend reconfiguring your database to include a dedicated collection for 'Liked Articles'. Moreover, our proficiency in leveraging FlutterFlow's Firestore integration, coupled with our knack for creating custom actions, perfectly positions us to bring your envisioned solution to life. We will ensure real-time merging is seamlessly handled without having to rely on potentially slower cloud functions. With me overseeing the project, you can also look forward to optional value-adds like caching and pagination for a more enhanced user experience.
$50 USD in 40 days
9.0
9.0

Dear Arien A., We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time. We are 25 years in this business and our technical specialists have strong experience in PHP, SQL, Software Architecture, MySQL, Database Programming and other technologies relevant to your project. Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews. Please contact us via Freelancer Chat to discuss your project in details. Best regards, Sales department Tangram Canada Inc.
$50 USD in 5 days
8.8
8.8

With over a decade of experience in web and software development utilizing a wide array of cutting-edge technologies, I believe I am the highly skilled freelancer that you need for your project. As a proficient adept in MySQL, PHP, and SQL, I have an extended track record of handling complex database structures and optimizing queries for real-time performance. Additionally, my proficiency extends to .Net Core 3.1, Angular JS, Next JS, and much more - all of which will be useful for building an efficient real-time display solution. My work is focused on simplicity and scalability - echoes of the key features I see in your project. Your proposed database restructuring excites me, as it aligns with my commitment to optimized data modeling that ensures not only efficient queries but also room for future scalability. My past experiences in similar projects enable me to provide expert guidance during implementation for the best results.
$50 USD in 40 days
7.6
7.6

As a team, we have spent countless hours refining our skills in MySQL, PHP, and Software Architecture. These skills particularly lend themselves to this project, as we understand the incredible value that lies in a well-structured database for large datasets like the one you're dealing with. We've managed projects involving scalable databases, and we resonate with your idea of creating a separate collection - "LikedArticles". Furthermore, having substantial experience in real-time data manipulation and analysis, we are comfortable with FlutterFlow's Firestore integration as well as working around its limitations. Our familiarity with combining multiple queries through backend functions or by nesting widgets will ensure that you get a highly efficient real-time data merging solution sans Cloud Functions. Lastly, it's important to mention our client-oriented approach. You'll find that our work philosophy is focused on milestones and release phases which gives you visibility over progress throughout the development cycle. Our repeat business rate attests to client satisfaction and our ability to provide inventive solutions.
$50 USD in 40 days
7.2
7.2

Hello Arien A., I carefully reviewed your project description, and it seems like a perfect match for my skills and experience. I am an experienced developer with a strong background in PHP, SQL, Software Architecture, MySQL, Database Programming which gives me the confidence to successfully deliver your project with precision and quality. I’d love to discuss your project further in chat and explore how I can help bring your vision to life. Best regards, Gaurav Mittal
$50 USD in 7 days
7.0
7.0

HI, I would love to give you a solution for real-time liked article display. Your approach leverages FlutterFlow's real-time capabilities and custom actions to efficiently merge and display data without relying on Cloud Functions. My Proposed Solution: With 9 years of full-stack development experience, I'm confident in delivering a robust and scalable solution. Could you please provide an estimate of the expected number of users and articles? Lets get into chat for further discussions. I am online right now. Thanks Pankaj
$50 USD in 40 days
5.3
5.3

As a seasoned IT professional with over a decade of experience, I bring to the table a deep understanding of database programming and software architecture. My skill set in MySQL, PHP, and SQL aligns well with your requirement for the restructure of the Firestore database. I believe that my solution, which involves creating a dedicated LikedArticles collection and efficiently merging data in real-time without relying on Cloud Functions, is tailor-made for scaling and enhancing the real-time display of liked articles. My proficiency with modern technologies including FlutterFlow makes me well-suited for implementing real-time data merging with custom actions. Moreover, my knowledge of Flutter can help you optimize the user interface to effectively display the merged list using ListView or GridView widgets as you desire. Furthermore, gain the advantage of selecting an All-round Developer- who can deliver not just a great technical implementation but also support you throughout project life cycle from start to finish.I guarantee not only excellent code and service quality, but also reliable and cost-effective services - ensuring an unchallenged client satisfaction for every endeavor we undertake. Partnering with me will provide you with strong technology competency and 100% transparency in deliverables etched with unswerving quality. Let's get started on this project promptly to make your visions a concrete reality! Let's connect to discuss. Regards, Deb K
$50 USD in 40 days
6.2
6.2

Hello I am a software and database developer for last twenty years. I have read your requirements and have understand the relational database restructure involving Original and Liked Tables regarded as collections. You have shown a trigger method but it will make the process slow. Real-Time Updates: Both LikedArticles and Articles collections are updated in real-time by Firestore. You have stated rightly that:- No Duplication: Only modified fields are stored in LikedArticles. Efficient Queries: Using indexes on userId and articleId ensures scalability for querying large datasets. Frontend Flexibility: The merged data logic resides in the client-side, making it easier to iterate or debug. With my long programming experience and logic development in database query , I assure you a quality work. Waiting from you for a reply. Regards A. B. M. JAMIL
$52 USD in 40 days
2.2
2.2

Dear , I am excited to present a comprehensive solution for your project titled "Real-Time Display Solution for Liked Articles." Our proposed approach focuses on optimizing the real-time display of liked articles without the need for Cloud Functions, ensuring efficiency and scalability. By restructuring the database to create a dedicated LikedArticles collection and leveraging FlutterFlow's Firestore integration for real-time data merging, we aim to provide a seamless and cost-effective solution tailored to your needs. Our step-by-step implementation includes querying liked articles, fetching original articles, merging data, and displaying it dynamically using FlutterFlow's features. Additionally, we offer alternative solutions and optional enhancements to further improve the functionality and user experience of the solution. With our expertise in database restructuring, real-time data handling, and frontend development, we are confident in delivering a solution that exceeds your expectations. If you are interested in detailed code snippets or specific guidance on implementing these steps in FlutterFlow, please feel free to reach out. We are here to collaborate and bring your project to life. Looking forward to the opportunity to work together. Sincerely, Rajesh Rolen
$50 USD in 7 days
0.2
0.2

Leveraging my skill set in Laravel and fluency in both MySQL and PHP, I am uniquely qualified to handle your project of creating a Real-Time Display Solution for Liked Articles. The unique approach I propose of segregating the Liked Articles into a separate dedicated collection instead of relying on nested querying is a significant step towards scalability, which is the cornerstone of any successful real-time display system. I assure you that my tailored approach of segregating collections, efficient indexing, and employing strategic caching techniques will result in not just an optimized solution but one with future scalability in mind.
$50 USD in 40 days
0.0
0.0

Jawa Barat, Indonesia
Member since Jun 1, 2024
$2-8 USD / hour
£5-10 GBP / hour
$30-250 USD
₹37500-75000 INR
$30-250 USD
€8-30 EUR
$30-250 AUD
₹1500-12500 INR
₹37500-75000 INR
$100 NZD
$30-250 USD
$250-750 USD
₹100-400 INR / hour
₹1500-12500 INR
£20-250 GBP
$30-250 USD
$30-250 USD
$250-750 USD
$10-30 USD
$250-750 USD