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Os Memory Oom Killer

DodaTech 1 min read

In this tutorial, you'll learn about How to Fix OOM Killer Errors. We cover key concepts, practical examples, and best practices.

Fix oom killer errors when out-of-memory triggers kernel killing processes without warning.

Quick Fix

Wrong

# Process allocates 10GB on 4GB system:
data=[0]*10**9  # triggers OOM immediately

Kernel invokes OOM killer. Random (or by score) process killed. No graceful handling.

import resource, os
# Set memory limit before risky allocation:
soft,hard=resource.getrlimit(resource.RLIMIT_AS)
resource.setrlimit(resource.RLIMIT_AS,(4*1024**3,hard))  # 4GB limit
try:
    data=[0]*10**9  # will get MemoryError instead of OOM kill
except MemoryError:
    print('Out of memory, handling gracefully')
# Alternatively, check before allocating:
import psutil
mem=psutil.virtual_memory()
if mem.available<10**9:
    print('Not enough memory')
MemoryError caught gracefully. Process not killed by OOM killer.

Prevention

Set RLIMIT_AS to trigger MemoryError instead of OOM. Monitor available memory before allocation.

DodaTech Tools

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FAQ

What is OOM killer?

Kernel process that kills processes when system runs out of memory.

Prevention?

RLIMIT_AS prevents process from overcommitting. Handle MemoryError. Monitor with cgroups.

OOM score?

/proc/PID/oom_score. Higher = more likely killed. oom_score_adj adjusts priority.

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