Find the object that never gets freed by comparing heap snapshots and following retention paths. Use when a process grows in memory over time, gets OOM-killed, or slows under a garbage collector that keeps working harder.
Scanned 9/5/2026
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---
name: memory-leaks
description: Find the object that never gets freed by comparing heap snapshots and following retention paths. Use when a process grows in memory over time, gets OOM-killed, or slows under a garbage collector that keeps working harder.
---
# Memory leaks
A leak is not memory that is high, it is memory that only goes up. Steady
high usage is a capacity question. A slope that never returns to baseline
after load stops is a reference someone forgot to drop, and guessing which
one wastes hours. Measure the growth, then let the heap name the culprit.
## Method
1. **Confirm it is a leak, not a plateau.** Plot resident memory (RSS) over
a load cycle with `ps`, `/proc/<pid>/status`, or your platform metrics.
A leak keeps climbing after the workload ends and never recovers across
several GC cycles. A cache filling to its cap and holding is not a leak.
2. **Capture two heap snapshots under identical load.** Take one after
warmup, run a fixed number of operations, take a second. In Node use
`--inspect` and Chrome DevTools or `v8.writeHeapSnapshot()`; in Python
use `tracemalloc.take_snapshot()`; on the JVM use `jmap -dump:live`.
The `live` or comparison mode matters: you want survivors, not garbage.
3. **Diff the snapshots, sort by retained size delta.** DevTools comparison
view, `tracemalloc.compare_to(old, 'lineno')`, or Eclipse MAT on a JVM
dump. The type whose instance count grows by roughly your operation count
is the leak. Ten thousand `Listener` objects after ten thousand requests
is the answer pointing at itself.
4. **Follow the retention path to a GC root.** Right-click the leaked object
and read "Path to GC Roots" (MAT) or the retainers tree (DevTools). The
path ends at whatever holds the reference: a module-level list, an event
emitter's handler array, a closure captured in a cache, a static map.
That holder is the bug, not the leaked object.
5. **Cut the strongest reference, not every reference.** Remove the listener
on teardown, bound the cache with an LRU or size cap, use `WeakMap`/
`WeakReference` for incidental associations, or clear the collection when
the owning scope ends. Fix the one edge on the retention path.
6. **Re-run the two-snapshot cycle to prove the slope is flat.** Same load,
same operation count. Retained delta near zero means fixed. A smaller but
nonzero slope means a second leak: repeat from step 3.
## Signals
- After N operations, does exactly one type grow by about N instances?
- Does RSS return to its warmup baseline after load stops and a forced GC?
- Does every leaked instance trace to the same holder on the retention path?
## Boundaries
Native allocations (C extensions, off-heap buffers, memory-mapped files) do
not show in a managed-heap snapshot; reach for Valgrind, ASan, or jemalloc
profiling there. Fragmentation and allocator overhead can raise RSS without
any leak, so trust the object-count trend over the raw RSS number.
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