github.com/fenixara/go@v0.0.0-20170127160404-96ea0918e670/src/runtime/HACKING.md

This is a living document and at times it will be out of date. It is
intended to articulate how programming in the Go runtime differs from
writing normal Go. It focuses on pervasive concepts rather than
details of particular interfaces.

Scheduler structures
====================

The scheduler manages three types of resources that pervade the
runtime: Gs, Ms, and Ps. It's important to understand these even if
you're not working on the scheduler.

Gs, Ms, Ps
----------

A "G" is simply a goroutine. It's represented by type `g`. When a
goroutine exits, its `g` object is returned to a pool of free `g`s and
can later be reused for some other goroutine.

An "M" is an OS thread that can be executing user Go code, runtime
code, a system call, or be idle. It's represented by type `m`. There
can be any number of Ms at a time since any number of threads may be
blocked in system calls.

Finally, a "P" represents the resources required to execute user Go
code, such as scheduler and memory allocator state. It's represented
by type `p`. There are exactly `GOMAXPROCS` Ps. A P can be thought of
like a CPU in the OS scheduler and the contents of the `p` type like
per-CPU state. This is a good place to put state that needs to be
sharded for efficiency, but doesn't need to be per-thread or
per-goroutine.

The scheduler's job is to match up a G (the code to execute), an M
(where to execute it), and a P (the rights and resources to execute
it). When an M stops executing user Go code, for example by entering a
system call, it returns its P to the idle P pool. In order to resume
executing user Go code, for example on return from a system call, it
must acquire a P from the idle pool.

All `g`, `m`, and `p` objects are heap allocated, but are never freed,
so their memory remains type stable. As a result, the runtime can
avoid write barriers in the depths of the scheduler.

User stacks and system stacks
-----------------------------

Every non-dead G has a *user stack* associated with it, which is what
user Go code executes on. User stacks start small (e.g., 2K) and grow
or shrink dynamically.

Every M has a *system stack* associated with it (also known as the M's
"g0" stack because it's implemented as a stub G) and, on Unix
platforms, a *signal stack* (also known as the M's "gsignal" stack).
System and signal stacks cannot grow, but are large enough to execute
runtime and cgo code (8K in a pure Go binary; system-allocated in a
cgo binary).

Runtime code often temporarily switches to the system stack using
`systemstack`, `mcall`, or `asmcgocall` to perform tasks that must not
be preempted, that must not grow the user stack, or that switch user
goroutines. Code running on the system stack is implicitly
non-preemptible and the garbage collector does not scan system stacks.
While running on the system stack, the current user stack is not used
for execution.

`getg()` and `getg().m.curg`
----------------------------

To get the current user `g`, use `getg().m.curg`.

`getg()` alone returns the current `g`, but when executing on the
system or signal stacks, this will return the current M's "g0" or
"gsignal", respectively. This is usually not what you want.

To determine if you're running on the user stack or the system stack,
use `getg() == getg().m.curg`.

Error handling and reporting
============================

Errors that can reasonably be recovered from in user code should use
`panic` like usual. However, there are some situations where `panic`
will cause an immediate fatal error, such as when called on the system
stack or when called during `mallocgc`.

Most errors in the runtime are not recoverable. For these, use
`throw`, which dumps the traceback and immediately terminates the
process. In general, `throw` should be passed a string constant to
avoid allocating in perilous situations. By convention, additional
details are printed before `throw` using `print` or `println` and the
messages are prefixed with "runtime:".

For runtime error debugging, it's useful to run with
`GOTRACEBACK=system` or `GOTRACEBACK=crash`.

Synchronization
===============

The runtime has multiple synchronization mechanisms. They differ in
semantics and, in particular, in whether they interact with the
goroutine scheduler or the OS scheduler.

The simplest is `mutex`, which is manipulated using `lock` and
`unlock`. This should be used to protect shared structures for short
periods. Blocking on a `mutex` directly blocks the M, without
interacting with the Go scheduler. This means it is safe to use from
the lowest levels of the runtime, but also prevents any associated G
and P from being rescheduled.

For one-shot notifications, use `note`, which provides `notesleep` and
`notewakeup`. Unlike traditional UNIX `sleep`/`wakeup`, `note`s are
race-free, so `notesleep` returns immediately if the `notewakeup` has
already happened. A `note` can be reset after use with `noteclear`,
which must not race with a sleep or wakeup. Like `mutex`, blocking on
a `note` blocks the M. However, there are different ways to sleep on a
`note`:`notesleep` also prevents rescheduling of any associated G and
P, while `notetsleepg` acts like a blocking system call that allows
the P to be reused to run another G. This is still less efficient than
blocking the G directly since it consumes an M.

To interact directly with the goroutine scheduler, use `gopark` and
`goready`. `gopark` parks the current goroutine—putting it in the
"waiting" state and removing it from the scheduler's run queue—and
schedules another goroutine on the current M/P. `goready` puts a
parked goroutine back in the "runnable" state and adds it to the run
queue.

In summary,

<table>
<tr><th></th><th colspan="3">Blocks</th></tr>
<tr><th>Interface</th><th>G</th><th>M</th><th>P</th></tr>
<tr><td>mutex</td><td>Y</td><td>Y</td><td>Y</td></tr>
<tr><td>note</td><td>Y</td><td>Y</td><td>Y/N</td></tr>
<tr><td>park</td><td>Y</td><td>N</td><td>N</td></tr>
</table>

Unmanaged memory
================

In general, the runtime tries to use regular heap allocation. However,
in some cases the runtime must allocate objects outside of the garbage
collected heap, in *unmanaged memory*. This is necessary if the
objects are part of the memory manager itself or if they must be
allocated in situations where the caller may not have a P.

There are three mechanisms for allocating unmanaged memory:

* sysAlloc obtains memory directly from the OS. This comes in whole
  multiples of the system page size, but it can be freed with sysFree.

* persistentalloc combines multiple smaller allocations into a single
  sysAlloc to avoid fragmentation. However, there is no way to free
  persistentalloced objects (hence the name).

* fixalloc is a SLAB-style allocator that allocates objects of a fixed
  size. fixalloced objects can be freed, but this memory can only be
  reused by the same fixalloc pool, so it can only be reused for
  objects of the same type.

In general, types that are allocated using any of these should be
marked `//go:notinheap` (see below).

Objects that are allocated in unmanaged memory **must not** contain
heap pointers unless the following rules are also obeyed:

1. Any pointers from unmanaged memory to the heap must be added as
   explicit garbage collection roots in `runtime.markroot`.

2. If the memory is reused, the heap pointers must be zero-initialized
   before they become visible as GC roots. Otherwise, the GC may
   observe stale heap pointers. See "Zero-initialization versus
   zeroing".

Zero-initialization versus zeroing
==================================

There are two types of zeroing in the runtime, depending on whether
the memory is already initialized to a type-safe state.

If memory is not in a type-safe state, meaning it potentially contains
"garbage" because it was just allocated and it is being initialized
for first use, then it must be *zero-initialized* using
`memclrNoHeapPointers` or non-pointer writes. This does not perform
write barriers.

If memory is already in a type-safe state and is simply being set to
the zero value, this must be done using regular writes, `typedmemclr`,
or `memclrHasPointers`. This performs write barriers.

Runtime-only compiler directives
================================

In addition to the "//go:" directives documented in "go doc compile",
the compiler supports additional directives only in the runtime.

go:systemstack
--------------

`go:systemstack` indicates that a function must run on the system
stack. This is checked dynamically by a special function prologue.

go:nowritebarrier
-----------------

`go:nowritebarrier` directs the compiler to emit an error if the
following function contains any write barriers. (It *does not*
suppress the generation of write barriers; it is simply an assertion.)

Usually you want `go:nowritebarrierrec`. `go:nowritebarrier` is
primarily useful in situations where it's "nice" not to have write
barriers, but not required for correctness.

go:nowritebarrierrec and go:yeswritebarrierrec
----------------------------------------------

`go:nowritebarrierrec` directs the compiler to emit an error if the
following function or any function it calls recursively, up to a
`go:yeswritebarrierrec`, contains a write barrier.

Logically, the compiler floods the call graph starting from each
`go:nowritebarrierrec` function and produces an error if it encounters
a function containing a write barrier. This flood stops at
`go:yeswritebarrierrec` functions.

`go:nowritebarrierrec` is used in the implementation of the write
barrier to prevent infinite loops.

Both directives are used in the scheduler. The write barrier requires
an active P (`getg().m.p != nil`) and scheduler code often runs
without an active P. In this case, `go:nowritebarrierrec` is used on
functions that release the P or may run without a P and
`go:yeswritebarrierrec` is used when code re-acquires an active P.
Since these are function-level annotations, code that releases or
acquires a P may need to be split across two functions.

go:notinheap
------------

`go:notinheap` applies to type declarations. It indicates that a type
must never be heap allocated. Specifically, pointers to this type must
always fail the `runtime.inheap` check. The type may be used for
global variables, for stack variables, or for objects in unmanaged
memory (e.g., allocated with `sysAlloc`, `persistentalloc`, or
`fixalloc`). Specifically:

1. `new(T)`, `make([]T)`, `append([]T, ...)` and implicit heap
   allocation of T are disallowed. (Though implicit allocations are
   disallowed in the runtime anyway.)

2. A pointer to a regular type (other than `unsafe.Pointer`) cannot be
   converted to a pointer to a `go:notinheap` type, even if they have
   the same underlying type.

3. Any type that contains a `go:notinheap` type is itself
   `go:notinheap`. Structs and arrays are `go:notinheap` if their
   elements are. Maps and channels of `go:notinheap` types are
   disallowed. To keep things explicit, any type declaration where the
   type is implicitly `go:notinheap` must be explicitly marked
   `go:notinheap` as well.

4. Write barriers on pointers to `go:notinheap` types can be omitted.

The last point is the real benefit of `go:notinheap`. The runtime uses
it for low-level internal structures to avoid memory barriers in the
scheduler and the memory allocator where they are illegal or simply
inefficient. This mechanism is reasonably safe and does not compromise
the readability of the runtime.