Processing large CSV files in Laravel can be a memory nightmare. Normal methods load the entire file into memory, causing performance issues. But Laravel’s LazyCollection changes the game by processing data line by line, drastically reducing memory usage.
In this article, we’ll:
✅ Compare Collection vs. LazyCollection
✅ Benchmark performance with real code
✅ Show how LazyCollection saves memory and speeds up processing
💡 Why This Matters?
Handling large CSV files in PHP can be inefficient if done incorrectly. Most developers load the entire file into memory, leading to:
❌ High memory consumption
❌ Slow processing times
❌ Potential server crashes
Laravel’s LazyCollection solves this by lazily loading data, processing one row at a time. Let’s see how it works.
🔍 Code Comparison: Collection vs. LazyCollection
I use the Laravel League package to read the CSV file. You can install it using the command below.
1️⃣ Normal CSV Processing (Memory Hog)
Let’s start by looking at the normal approach — using a regular Collection
that loads the entire file into memory at once.
❌ Problem:
- Entire CSV is loaded into memory.
- Memory usage scales with file size.
- Slower for large datasets.
2️⃣ LazyCollection (Memory Efficient)
LazyCollection
changes everything. Instead of loading data all at once, it streams records one by one:
The Magic of yield
The yield
keyword is your secret weapon. It creates a generator that:
- Produces one record at a time
- Doesn’t load everything into memory
- Allows for streaming processing
⏱️ Benchmarking the Difference
I created a Laravel Artisan command to compare performance side by side:
1. Create the command:
2. Run the benchmark using the following command:
I tested it with a 100,000-row CSV file, and here are the results:
3. Watch the magic happen:
My benchmark proves it:
🔹 Normal Method: 463ms
& 51.59MB
memory
🔹 LazyCollection: 0.739ms
& 856 Bytes
memory
🎯 Conclusion: Stop Wasting Resources!
These results speak for themselves:
🔹 626x speed boost
🔹 60,000x less memory
🔹 No more “out of memory” errors
👉 Action Step: Replace your next collect()
with LazyCollection
and feel the difference!
📢 Your Turn
💬 Have you tried LazyCollection? Share your benchmarks below!
🔥 Follow me for more Laravel performance secrets.
If you found this helpful, feel free to share or drop a comment. Happy coding with Laravel! 🧱✨
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