内存分析与垃圾回收调优
诊断内存增长、检查每个进程的堆,并调优 Erlang 垃圾回收,让长期运行的节点保持健康。
内存分析与垃圾回收调优 是 CoddyKit 上的免费 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课时。 这是第 4 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课程共包含 4 节课。
本课时的部分内容尚未翻译,以英文显示。
Why Memory Matters
Erlang nodes can run for months. A small per-process leak or unbounded mailbox grows silently until the node is killed by the OS. Observability into memory is essential.
System-Wide Memory
erlang:memory/0 returns a breakdown: total, processes, atom, binary, ETS and more. Watch the categories that grow over time.
erlang:memory().Per-Process Inspection
process_info/2 reveals a single process heap, message queue length and more — key for finding the culprit.
process_info(Pid, [memory, message_queue_len, heap_size]).The Mailbox Trap
If a process receives faster than it handles, its mailbox grows without bound. A large message_queue_len is the classic sign of an overloaded consumer.
Binaries and Refc Leaks
Large binaries are reference-counted and shared off-heap. A process holding a tiny sub-binary can pin a huge parent binary. Watch the binary memory category closely.
Finding the Worst Offenders
Sort all processes by memory to find leaks fast.
lists:sort(fun({_,A},{_,B}) -> A > B end,
[{P, element(2, process_info(P, memory))} || P <- processes()]).How Erlang GC Works
Each process has its own private heap and is garbage-collected independently — there is no global stop-the-world pause. Collection runs when a process heap fills.
Triggering GC Manually
For a process you suspect is holding garbage, force a collection and re-measure.
erlang:garbage_collect(Pid),
process_info(Pid, memory).Tuning the Heap
Spawn options like min_heap_size and fullsweep_after tune GC for hot processes, trading memory for fewer collections.
spawn_opt(fun work/0, [{min_heap_size, 1000}, {fullsweep_after, 10}]).Hibernation
Idle processes can call hibernate to compact their heap to the minimum, freeing memory until the next message arrives — great for many mostly-idle connections.
proc_lib:hibernate(?MODULE, loop, [State]).Watching ETS Tables
ETS tables live outside process heaps and do not shrink automatically. A growing ets memory category often means stale rows; periodically prune or use tables with a bounded size.
ets:info(my_table, memory).Quick Check
Test your memory tuning knowledge.
Recap
You learned to analyze and tune memory:
erlang:memory/0gives a system-wide breakdownprocess_info/2inspects per-process heap and mailbox- Growing mailboxes and pinned binaries are common leak sources
- Each process is GC-ed independently; no global pause
- Tune with spawn options and use
hibernatefor idle processes
用 AI 导师学习 Erlang — 免费
在浏览器中编写并运行真实代码,获得全天候 AI 导师的即时帮助,并在网页或应用中继续学习。
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常见问题解答
「内存分析与垃圾回收调优」课时是免费的吗?
是的 — 「内存分析与垃圾回收调优」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课程的其余内容,请升级到 CoddyKit PRO。 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课程共包含 4 节课。
「内存分析与垃圾回收调优」这节课中我会学到什么?
诊断内存增长、检查每个进程的堆,并调优 Erlang 垃圾回收,让长期运行的节点保持健康。 你通过在浏览器中直接运行的动手代码来练习 Erlang OTP: Distributed & Fault-Tolerant Systems Programming,全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 需要有经验吗?
无需任何先前经验。CoddyKit 上的 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 4 节课,共 4 节。
「内存分析与垃圾回收调优」课时需要多长时间?
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。
我能在这节 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课中编写并运行代码吗?
能。每节 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。
此课程中的所有课时
- Erlang 性能分析技术
- 分布式系统的跟踪与调试
- 指标与监控集成
- 内存分析与垃圾回收调优