1This is a living document and at times it will be out of date. It is
2intended to articulate how programming in the Go runtime differs from
3writing normal Go. It focuses on pervasive concepts rather than
4details of particular interfaces.
5
6Scheduler structures
7====================
8
9The scheduler manages three types of resources that pervade the
10runtime: Gs, Ms, and Ps. It's important to understand these even if
11you're not working on the scheduler.
12
13Gs, Ms, Ps
14----------
15
16A "G" is simply a goroutine. It's represented by type `g`. When a
17goroutine exits, its `g` object is returned to a pool of free `g`s and
18can later be reused for some other goroutine.
19
20An "M" is an OS thread that can be executing user Go code, runtime
21code, a system call, or be idle. It's represented by type `m`. There
22can be any number of Ms at a time since any number of threads may be
23blocked in system calls.
24
25Finally, a "P" represents the resources required to execute user Go
26code, such as scheduler and memory allocator state. It's represented
27by type `p`. There are exactly `GOMAXPROCS` Ps. A P can be thought of
28like a CPU in the OS scheduler and the contents of the `p` type like
29per-CPU state. This is a good place to put state that needs to be
30sharded for efficiency, but doesn't need to be per-thread or
31per-goroutine.
32
33The scheduler's job is to match up a G (the code to execute), an M
34(where to execute it), and a P (the rights and resources to execute
35it). When an M stops executing user Go code, for example by entering a
36system call, it returns its P to the idle P pool. In order to resume
37executing user Go code, for example on return from a system call, it
38must acquire a P from the idle pool.
39
40All `g`, `m`, and `p` objects are heap allocated, but are never freed,
41so their memory remains type stable. As a result, the runtime can
42avoid write barriers in the depths of the scheduler.
43
44User stacks and system stacks
45-----------------------------
46
47Every non-dead G has a *user stack* associated with it, which is what
48user Go code executes on. User stacks start small (e.g., 2K) and grow
49or shrink dynamically.
50
51Every M has a *system stack* associated with it (also known as the M's
52"g0" stack because it's implemented as a stub G) and, on Unix
53platforms, a *signal stack* (also known as the M's "gsignal" stack).
54System and signal stacks cannot grow, but are large enough to execute
55runtime and cgo code (8K in a pure Go binary; system-allocated in a
56cgo binary).
57
58Runtime code often temporarily switches to the system stack using
59`systemstack`, `mcall`, or `asmcgocall` to perform tasks that must not
60be preempted, that must not grow the user stack, or that switch user
61goroutines. Code running on the system stack is implicitly
62non-preemptible and the garbage collector does not scan system stacks.
63While running on the system stack, the current user stack is not used
64for execution.
65
66`getg()` and `getg().m.curg`
67----------------------------
68
69To get the current user `g`, use `getg().m.curg`.
70
71`getg()` alone returns the current `g`, but when executing on the
72system or signal stacks, this will return the current M's "g0" or
73"gsignal", respectively. This is usually not what you want.
74
75To determine if you're running on the user stack or the system stack,
76use `getg() == getg().m.curg`.
77
78Error handling and reporting
79============================
80
81Errors that can reasonably be recovered from in user code should use
82`panic` like usual. However, there are some situations where `panic`
83will cause an immediate fatal error, such as when called on the system
84stack or when called during `mallocgc`.
85
86Most errors in the runtime are not recoverable. For these, use
87`throw`, which dumps the traceback and immediately terminates the
88process. In general, `throw` should be passed a string constant to
89avoid allocating in perilous situations. By convention, additional
90details are printed before `throw` using `print` or `println` and the
91messages are prefixed with "runtime:".
92
93For runtime error debugging, it's useful to run with
94`GOTRACEBACK=system` or `GOTRACEBACK=crash`.
95
96Synchronization
97===============
98
99The runtime has multiple synchronization mechanisms. They differ in
100semantics and, in particular, in whether they interact with the
101goroutine scheduler or the OS scheduler.
102
103The simplest is `mutex`, which is manipulated using `lock` and
104`unlock`. This should be used to protect shared structures for short
105periods. Blocking on a `mutex` directly blocks the M, without
106interacting with the Go scheduler. This means it is safe to use from
107the lowest levels of the runtime, but also prevents any associated G
108and P from being rescheduled. `rwmutex` is similar.
109
110For one-shot notifications, use `note`, which provides `notesleep` and
111`notewakeup`. Unlike traditional UNIX `sleep`/`wakeup`, `note`s are
112race-free, so `notesleep` returns immediately if the `notewakeup` has
113already happened. A `note` can be reset after use with `noteclear`,
114which must not race with a sleep or wakeup. Like `mutex`, blocking on
115a `note` blocks the M. However, there are different ways to sleep on a
116`note`:`notesleep` also prevents rescheduling of any associated G and
117P, while `notetsleepg` acts like a blocking system call that allows
118the P to be reused to run another G. This is still less efficient than
119blocking the G directly since it consumes an M.
120
121To interact directly with the goroutine scheduler, use `gopark` and
122`goready`. `gopark` parks the current goroutine—putting it in the
123"waiting" state and removing it from the scheduler's run queue—and
124schedules another goroutine on the current M/P. `goready` puts a
125parked goroutine back in the "runnable" state and adds it to the run
126queue.
127
128In summary,
129
130<table>
131<tr><th></th><th colspan="3">Blocks</th></tr>
132<tr><th>Interface</th><th>G</th><th>M</th><th>P</th></tr>
133<tr><td>(rw)mutex</td><td>Y</td><td>Y</td><td>Y</td></tr>
134<tr><td>note</td><td>Y</td><td>Y</td><td>Y/N</td></tr>
135<tr><td>park</td><td>Y</td><td>N</td><td>N</td></tr>
136</table>
137
138Atomics
139=======
140
141The runtime uses its own atomics package at `runtime/internal/atomic`.
142This corresponds to `sync/atomic`, but functions have different names
143for historical reasons and there are a few additional functions needed
144by the runtime.
145
146In general, we think hard about the uses of atomics in the runtime and
147try to avoid unnecessary atomic operations. If access to a variable is
148sometimes protected by another synchronization mechanism, the
149already-protected accesses generally don't need to be atomic. There
150are several reasons for this:
151
1521. Using non-atomic or atomic access where appropriate makes the code
153   more self-documenting. Atomic access to a variable implies there's
154   somewhere else that may concurrently access the variable.
155
1562. Non-atomic access allows for automatic race detection. The runtime
157   doesn't currently have a race detector, but it may in the future.
158   Atomic access defeats the race detector, while non-atomic access
159   allows the race detector to check your assumptions.
160
1613. Non-atomic access may improve performance.
162
163Of course, any non-atomic access to a shared variable should be
164documented to explain how that access is protected.
165
166Some common patterns that mix atomic and non-atomic access are:
167
168* Read-mostly variables where updates are protected by a lock. Within
169  the locked region, reads do not need to be atomic, but the write
170  does. Outside the locked region, reads need to be atomic.
171
172* Reads that only happen during STW, where no writes can happen during
173  STW, do not need to be atomic.
174
175That said, the advice from the Go memory model stands: "Don't be
176[too] clever." The performance of the runtime matters, but its
177robustness matters more.
178
179Unmanaged memory
180================
181
182In general, the runtime tries to use regular heap allocation. However,
183in some cases the runtime must allocate objects outside of the garbage
184collected heap, in *unmanaged memory*. This is necessary if the
185objects are part of the memory manager itself or if they must be
186allocated in situations where the caller may not have a P.
187
188There are three mechanisms for allocating unmanaged memory:
189
190* sysAlloc obtains memory directly from the OS. This comes in whole
191  multiples of the system page size, but it can be freed with sysFree.
192
193* persistentalloc combines multiple smaller allocations into a single
194  sysAlloc to avoid fragmentation. However, there is no way to free
195  persistentalloced objects (hence the name).
196
197* fixalloc is a SLAB-style allocator that allocates objects of a fixed
198  size. fixalloced objects can be freed, but this memory can only be
199  reused by the same fixalloc pool, so it can only be reused for
200  objects of the same type.
201
202In general, types that are allocated using any of these should be
203marked `//go:notinheap` (see below).
204
205Objects that are allocated in unmanaged memory **must not** contain
206heap pointers unless the following rules are also obeyed:
207
2081. Any pointers from unmanaged memory to the heap must be garbage
209   collection roots. More specifically, any pointer must either be
210   accessible through a global variable or be added as an explicit
211   garbage collection root in `runtime.markroot`.
212
2132. If the memory is reused, the heap pointers must be zero-initialized
214   before they become visible as GC roots. Otherwise, the GC may
215   observe stale heap pointers. See "Zero-initialization versus
216   zeroing".
217
218Zero-initialization versus zeroing
219==================================
220
221There are two types of zeroing in the runtime, depending on whether
222the memory is already initialized to a type-safe state.
223
224If memory is not in a type-safe state, meaning it potentially contains
225"garbage" because it was just allocated and it is being initialized
226for first use, then it must be *zero-initialized* using
227`memclrNoHeapPointers` or non-pointer writes. This does not perform
228write barriers.
229
230If memory is already in a type-safe state and is simply being set to
231the zero value, this must be done using regular writes, `typedmemclr`,
232or `memclrHasPointers`. This performs write barriers.
233
234Runtime-only compiler directives
235================================
236
237In addition to the "//go:" directives documented in "go doc compile",
238the compiler supports additional directives only in the runtime.
239
240go:systemstack
241--------------
242
243`go:systemstack` indicates that a function must run on the system
244stack. This is checked dynamically by a special function prologue.
245
246go:nowritebarrier
247-----------------
248
249`go:nowritebarrier` directs the compiler to emit an error if the
250following function contains any write barriers. (It *does not*
251suppress the generation of write barriers; it is simply an assertion.)
252
253Usually you want `go:nowritebarrierrec`. `go:nowritebarrier` is
254primarily useful in situations where it's "nice" not to have write
255barriers, but not required for correctness.
256
257go:nowritebarrierrec and go:yeswritebarrierrec
258----------------------------------------------
259
260`go:nowritebarrierrec` directs the compiler to emit an error if the
261following function or any function it calls recursively, up to a
262`go:yeswritebarrierrec`, contains a write barrier.
263
264Logically, the compiler floods the call graph starting from each
265`go:nowritebarrierrec` function and produces an error if it encounters
266a function containing a write barrier. This flood stops at
267`go:yeswritebarrierrec` functions.
268
269`go:nowritebarrierrec` is used in the implementation of the write
270barrier to prevent infinite loops.
271
272Both directives are used in the scheduler. The write barrier requires
273an active P (`getg().m.p != nil`) and scheduler code often runs
274without an active P. In this case, `go:nowritebarrierrec` is used on
275functions that release the P or may run without a P and
276`go:yeswritebarrierrec` is used when code re-acquires an active P.
277Since these are function-level annotations, code that releases or
278acquires a P may need to be split across two functions.
279
280go:notinheap
281------------
282
283`go:notinheap` applies to type declarations. It indicates that a type
284must never be allocated from the GC'd heap or on the stack.
285Specifically, pointers to this type must always fail the
286`runtime.inheap` check. The type may be used for global variables, or
287for objects in unmanaged memory (e.g., allocated with `sysAlloc`,
288`persistentalloc`, `fixalloc`, or from a manually-managed span).
289Specifically:
290
2911. `new(T)`, `make([]T)`, `append([]T, ...)` and implicit heap
292   allocation of T are disallowed. (Though implicit allocations are
293   disallowed in the runtime anyway.)
294
2952. A pointer to a regular type (other than `unsafe.Pointer`) cannot be
296   converted to a pointer to a `go:notinheap` type, even if they have
297   the same underlying type.
298
2993. Any type that contains a `go:notinheap` type is itself
300   `go:notinheap`. Structs and arrays are `go:notinheap` if their
301   elements are. Maps and channels of `go:notinheap` types are
302   disallowed. To keep things explicit, any type declaration where the
303   type is implicitly `go:notinheap` must be explicitly marked
304   `go:notinheap` as well.
305
3064. Write barriers on pointers to `go:notinheap` types can be omitted.
307
308The last point is the real benefit of `go:notinheap`. The runtime uses
309it for low-level internal structures to avoid memory barriers in the
310scheduler and the memory allocator where they are illegal or simply
311inefficient. This mechanism is reasonably safe and does not compromise
312the readability of the runtime.
313