📘 C# Blog Series – Blog 50 **“C# Memory Management — GPS Server में Memory Leak कैसे रोकें?

📘 C# Blog Series – Blog 50

**“C# Memory Management — GPS Server में Memory Leak कैसे रोकें?

(Real-Life Example: TCP Connections, Packet Buffers, Device Dictionaries, Streams)”**

Congrats! You’ve reached Blog 50, और अब हम उस topic पर आए हैं
जो किसी भी High-Performance GPS Server को चलाने का सबसे बड़ा secret है:

✅ Memory Management

❌ Memory Leaks avoid करना

⚡ Server को 24×7 stable रखना

GPS servers अक्सर crash नहीं होते,
वो धीरे-धीरे memory leak से मरते हैं।

इस ब्लॉग में हम deep सीखेंगे:

• Garbage Collector कैसे काम करता है

• क्या चीजें memory leak करती हैं

• StringBuilder leaks

• Dictionary growth issue

• TCP stream memory safety

• Async tasks memory leaks

• कैसे GPS server को memory optimized बनाना है

---

🟦 1. .NET Garbage Collector (GC) कैसे काम करता है?

GC automatically:

✔ Unused memory free करता है
✔ Objects delete करता है
✔ Heap clean करता है
✔ Memory fragmentation reduce करता है

You don’t need:

❌ free()
❌ delete()

But you must code properly to avoid leaks.

---

🟢 2. Memory Leak क्या होता है?

जब RAM बढ़ती जाए लेकिन free न हो → leak.

Symptoms in GPS Server:

• RAM keeps increasing

• CPU spike

• Slow response

• Delayed packet processing

• Eventually crash

---

⭐ 3. GPS Server में सबसे common Memory Leak Sources

1. Growing Dictionary (IMEI → Device)

IMEIs add होते रहते हैं → remove नहीं होते।

2. StringBuilder buffers

Old data append होता रहता है।

3. Not closing TCP streams

Client disconnect हो गया → stream alive.

4. Never-ending Tasks

Task.Run loops that never stop.

5. Log files open but never disposed

StreamWriter leak.

6. Packet queues that never clear

Queue grows → crash.

---

🌟 4. Dictionary Leak Example (Common but Dangerous)

Bad:

ConnectedDevices[imei] = device;

If device disconnects → still stored → leak.

Fix:

if(!client.Connected)
    ConnectedDevices.Remove(imei);

Or even better → background cleanup job.

---

🟠 5. StringBuilder Leak in Packet Splitting Logic

Bad:

buffer.Append(chunk); // but never cleared properly

Fix after extracting packets:

buffer.Clear();
buffer.Append(remainingData);

Other trick:

If buffer > 10,000 chars → reset completely:

if(buffer.Length > 10000)
    buffer.Clear();

---

🔵 6. TCP Stream Leak (MOST IMPORTANT)

Bad:

client.Close(); // NOT enough!

Fix:

stream.Close();
stream.Dispose();
client.Close();
client.Dispose();

Always dispose both stream & client.

---

🟣 7. File Stream Leak (When Logging)

Bad:

var sw = new StreamWriter("log.txt", true);
sw.WriteLine("packet");
// sw not closed → memory leak + file lock

Fix:

using(var sw = new StreamWriter("log.txt", true))
{
    sw.WriteLine("packet");
}

or Serilog (best solution).

---

🔥 8. Async Task Leak (Silent Killer)

Bad:

Task.Run(() =>
{
    while(true)
    {
        DoWork();
        Thread.Sleep(1000);
    }
});

This thread never dies → leak.

Fix:

✔ Use IHostedService in .NET
✔ Use cancellation tokens

Example:

while(!token.IsCancellationRequested)
{
    await DoWork();
}

---

🧠 9. Packet Queue Growth Leak

Bad:

PacketQueue.Enqueue(pkt); // but never dequeued fast enough

Fix:

• Use bounded queue

• Backpressure logic

• Drop old packets

• Use ConcurrentQueue + consumer thread

---

📌 10. Object Pooling — Memory Optimizer

High-performance GPS servers use object pooling:

ArrayPool<byte>.Shared.Rent(1024);

Use it to reuse byte arrays → reduce allocation.

---

🛡 11. Memory Monitoring (Must-have in production)

Track:

• RAM usage

• Gen0/Gen1/Gen2 GC counts

• Large Object Heap (LOH) fragmentation

Use:

GC.GetTotalMemory(false)

Or performance counters.

---

⭐ 12. Best Practices to Prevent Memory Leaks

Problem	Fix
Dictionary grows forever	remove inactive devices
Packet buffers too large	periodic buffer reset
Streams not disposed	always using
Async infinite loops	cancellation tokens
Large strings	minimize concatenation
Logging streams	Serilog async sink
Queue overflow	bounded queues

---

🧪 13. Real-Life GPS Server Memory Strategy

1. Buffer Reset

Every midnight → clear all packet buffers.

2. Old Devices Removal

If device 24h से offline → remove from dictionary.

3. Daily Restart (Optional but safe)

Production में कई कंपनियाँ दिन में 1 बार server recycle करती हैं।

4. Use async everywhere

Low memory consumption.

5. Avoid unnecessary objects

Create once → reuse.

---

🔚 Conclusion

Memory Management आपके server को बनाता है:

✔ Stable for months
✔ Zero crashes
✔ Low RAM usage
✔ High performance
✔ 24×7 continuous running

GPS server running at scale (5k–20k devices) में
Memory Leaks = सबसे बड़ा enemy
और यह blog आपको उन्हें पूरी तरह खत्म करने में मदद करता है।