💡𝗘𝘃𝗲𝗿 𝗳𝗼𝘂𝗻𝗱 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳 𝗱𝗲𝗯𝗮𝘁𝗶𝗻𝗴 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝘂𝘀𝗶𝗻𝗴 𝗮𝗿𝗿𝗮𝘆𝘀 𝗼𝗿 𝘀𝗲𝗽𝗮𝗿𝗮𝘁𝗲 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀 𝗶𝗻 𝗠𝗼𝗻𝗴𝗼𝗗𝗕?

Today, I faced this challenge while structuring click events performed on a screen. The estimation shows that a single location could accumulate over 50K records or more.

So, the decision comes down to:
• Should we use an 𝗮𝗿𝗿𝗮𝘆 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 where 𝗰𝗲𝗻𝘁𝗲𝗿𝗜𝗱 and 𝗮𝗽𝗽𝗼𝗶𝗻𝘁𝗺𝗲𝗻𝘁𝗗𝗮𝘁𝗲 keep one day’s record in a single document?
• Or should we opt for 𝘀𝗲𝗽𝗮𝗿𝗮𝘁𝗲 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀 for each transaction?

Let’s dive into what works best and why! 👇

𝗞𝗲𝘆 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀:

1. 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 🚀 • 𝗔𝗿𝗿𝗮𝘆𝘀: Risk of exceeding MongoDB’s 16 MB document size limit, making it unsuitable for large datasets. • 𝗦𝗲𝗽𝗮𝗿𝗮𝘁𝗲 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀: Supports sharding, allowing data distribution across servers as the dataset grows, ensuring scalability.
2. 𝗤𝘂𝗲𝗿𝘆 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 ⚡ • 𝗔𝗿𝗿𝗮𝘆𝘀: MongoDB must scan entire arrays, which becomes inefficient as arrays grow. • 𝗦𝗲𝗽𝗮𝗿𝗮𝘁𝗲 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀: Efficient querying with indexed fields like centerId and appointmentDate, enabling fast lookups and aggregations.
3. 𝗙𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 🧩 • 𝗔𝗿𝗿𝗮𝘆𝘀: Modifying or deleting specific elements in large arrays can be cumbersome. • 𝗦𝗲𝗽𝗮𝗿𝗮𝘁𝗲 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀: Easier to update or delete individual records, maintaining data integrity and consistency with minimal effort.

𝗧𝗵𝗲 𝗕𝗲𝘀𝘁 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵:
𝗦𝗲𝗽𝗮𝗿𝗮𝘁𝗲 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀: ✅:
• 𝗪𝗵𝘆?
• 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲: Easily handles large data volumes (50K+ records).
• 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁: Supports indexing for fast, optimized queries.
• 𝗙𝗹𝗲𝘅𝗶𝗯𝗹𝗲: Simplifies updates and modifications, focusing on individual records without affecting others.

Have you faced a similar scenario? Share your approach in the comments below!
I’ve created a detailed post on 𝗠𝗲𝗱𝗶𝘂𝗺 𝗯𝗹𝗼𝗴 with step-by-step instructions and code examples. Feel free to check it out!🗞️📜️: https://lnkd.in/deGK3W4E

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