## Origins

### What is the purpose of the project?

No major systems language has emerged in over a decade, but over that time the computing landscape has changed tremendously. There are several trends:

- Computers are enormously quicker but software development is not faster.
- Dependency management is a big part of software development today but the “header files” of languages in the C tradition are antithetical to clean dependency analysis—and fast compilation.
- There is a growing rebellion against cumbersome type systems like those of Java and C++, pushing people towards dynamically typed languages such as Python and JavaScript.
- Some fundamental concepts such as garbage collection and parallel computation are not well supported by popular systems languages.
- The emergence of multicore computers has generated worry and confusion.

We believe it's worth trying again with a new language, a concurrent, garbage-collected language with fast compilation. Regarding the points above:

- It is possible to compile a large Go program in a few seconds on a single computer.
- Go provides a model for software construction that makes dependency analysis easy and avoids much of the overhead of C-style include files and libraries.
- Go's type system has no hierarchy, so no time is spent defining the relationships between types. Also, although Go has static types the language attempts to make types feel lighter weight than in typical OO languages.
- Go is fully garbage-collected and provides fundamental support for concurrent execution and communication.
- By its design, Go proposes an approach for the construction of system software on multicore machines.

A much more expansive answer to this question is available in the article, Go at Google: Language Design in the Service of Software Engineering.

### What is the status of the project?

Go became a public open source project on November 10, 2009. After a couple of years of very active design and development, stability was called for and Go 1 was released on March 28, 2012. Go 1, which includes a language specification, standard libraries, and custom tools, provides a stable foundation for creating reliable products, projects, and publications.

With that stability established, we are using Go to develop programs, products, and tools rather than actively changing the language and libraries. In fact, the purpose of Go 1 is to provide long-term stability. Backwards-incompatible changes will not be made to any Go 1 point release. We want to use what we have to learn how a future version of Go might look, rather than to play with the language underfoot.

Of course, development will continue on Go itself, but the focus will be on performance, reliability, portability and the addition of new functionality such as improved support for internationalization.

There may well be a Go 2 one day, but not for a few years and it will be influenced by what we learn using Go 1 as it is today.

### What is the origin of the name?

“Ogle” would be a good name for a Go debugger.

### What's the origin of the mascot?

The mascot and logo were designed by Renée French, who also designed Glenda, the Plan 9 bunny. The gopher is derived from one she used for an WFMU T-shirt design some years ago. The logo and mascot are covered by the Creative Commons Attribution 3.0 license.

### What is the history of the project?

Robert Griesemer, Rob Pike and Ken Thompson started sketching the goals for a new language on the white board on September 21, 2007. Within a few days the goals had settled into a plan to do something and a fair idea of what it would be. Design continued part-time in parallel with unrelated work. By January 2008, Ken had started work on a compiler with which to explore ideas; it generated C code as its output. By mid-year the language had become a full-time project and had settled enough to attempt a production compiler. In May 2008, Ian Taylor independently started on a GCC front end for Go using the draft specification. Russ Cox joined in late 2008 and helped move the language and libraries from prototype to reality.

Go became a public open source project on November 10, 2009. Many people from the community have contributed ideas, discussions, and code.

### Why are you creating a new language?

Go was born out of frustration with existing languages and environments for systems programming. Programming had become too difficult and the choice of languages was partly to blame. One had to choose either efficient compilation, efficient execution, or ease of programming; all three were not available in the same mainstream language. Programmers who could were choosing ease over safety and efficiency by moving to dynamically typed languages such as Python and JavaScript rather than C++ or, to a lesser extent, Java.

Go is an attempt to combine the ease of programming of an interpreted, dynamically typed language with the efficiency and safety of a statically typed, compiled language. It also aims to be modern, with support for networked and multicore computing. Finally, it is intended to be fast: it should take at most a few seconds to build a large executable on a single computer. To meet these goals required addressing a number of linguistic issues: an expressive but lightweight type system; concurrency and garbage collection; rigid dependency specification; and so on. These cannot be addressed well by libraries or tools; a new language was called for.

The article Go at Google discusses the background and motivation behind the design of the Go language, as well as providing more detail about many of the answers presented in this FAQ.

### What are Go's ancestors?

Go is mostly in the C family (basic syntax), with significant input from the Pascal/Modula/Oberon family (declarations, packages), plus some ideas from languages inspired by Tony Hoare's CSP, such as Newsqueak and Limbo (concurrency). However, it is a new language across the board. In every respect the language was designed by thinking about what programmers do and how to make programming, at least the kind of programming we do, more effective, which means more fun.

### What are the guiding principles in the design?

Programming today involves too much bookkeeping, repetition, and clerical work. As Dick Gabriel says, “Old programs read like quiet conversations between a well-spoken research worker and a well-studied mechanical colleague, not as a debate with a compiler. Who'd have guessed sophistication bought such noise?” The sophistication is worthwhile—no one wants to go back to the old languages—but can it be more quietly achieved?

Go attempts to reduce the amount of typing in both senses of the word. Throughout its design, we have tried to reduce clutter and complexity. There are no forward declarations and no header files; everything is declared exactly once. Initialization is expressive, automatic, and easy to use. Syntax is clean and light on keywords. Stuttering (`foo.Foo* myFoo = new(foo.Foo)`) is reduced by simple type derivation using the `:=` declare-and-initialize construct. And perhaps most radically, there is no type hierarchy: types just are, they don't have to announce their relationships. These simplifications allow Go to be expressive yet comprehensible without sacrificing, well, sophistication.

Another important principle is to keep the concepts orthogonal. Methods can be implemented for any type; structures represent data while interfaces represent abstraction; and so on. Orthogonality makes it easier to understand what happens when things combine.

## Usage

### Is Google using Go internally?

Yes. There are now several Go programs deployed in production inside Google. A public example is the server behind golang.org. It's just the `godoc` document server running in a production configuration on Google App Engine.

Other examples include the Vitess system for large-scale SQL installations and Google's download server, `dl.google.com`, which delivers Chrome binaries and other large installables such as `apt-get` packages.

### Do Go programs link with C/C++ programs?

There are two Go compiler implementations, `gc` (the `6g` program and friends) and `gccgo`. `Gc` uses a different calling convention and linker and can therefore only be linked with C programs using the same convention. There is such a C compiler but no C++ compiler. `Gccgo` is a GCC front-end that can, with care, be linked with GCC-compiled C or C++ programs.

The cgo program provides the mechanism for a “foreign function interface” to allow safe calling of C libraries from Go code. SWIG extends this capability to C++ libraries.

### Does Go support Google's protocol buffers?

A separate open source project provides the necessary compiler plugin and library. It is available at code.google.com/p/goprotobuf/

### Can I translate the Go home page into another language?

Absolutely. We encourage developers to make Go Language sites in their own languages. However, if you choose to add the Google logo or branding to your site (it does not appear on golang.org), you will need to abide by the guidelines at www.google.com/permissions/guidelines.html

## Design

### What's up with Unicode identifiers?

It was important to us to extend the space of identifiers from the confines of ASCII. Go's rule—identifier characters must be letters or digits as defined by Unicode—is simple to understand and to implement but has restrictions. Combining characters are excluded by design, for instance. Until there is an agreed external definition of what an identifier might be, plus a definition of canonicalization of identifiers that guarantees no ambiguity, it seemed better to keep combining characters out of the mix. Thus we have a simple rule that can be expanded later without breaking programs, one that avoids bugs that would surely arise from a rule that admits ambiguous identifiers.

On a related note, since an exported identifier must begin with an upper-case letter, identifiers created from “letters” in some languages can, by definition, not be exported. For now the only solution is to use something like `X日本語`, which is clearly unsatisfactory; we are considering other options. The case-for-visibility rule is unlikely to change however; it's one of our favorite features of Go.

### Why does Go not have feature X?

Every language contains novel features and omits someone's favorite feature. Go was designed with an eye on felicity of programming, speed of compilation, orthogonality of concepts, and the need to support features such as concurrency and garbage collection. Your favorite feature may be missing because it doesn't fit, because it affects compilation speed or clarity of design, or because it would make the fundamental system model too difficult.

If it bothers you that Go is missing feature X, please forgive us and investigate the features that Go does have. You might find that they compensate in interesting ways for the lack of X.

### Why does Go not have generic types?

Generics may well be added at some point. We don't feel an urgency for them, although we understand some programmers do.

Generics are convenient but they come at a cost in complexity in the type system and run-time. We haven't yet found a design that gives value proportionate to the complexity, although we continue to think about it. Meanwhile, Go's built-in maps and slices, plus the ability to use the empty interface to construct containers (with explicit unboxing) mean in many cases it is possible to write code that does what generics would enable, if less smoothly.

This remains an open issue.

### Why does Go not have exceptions?

We believe that coupling exceptions to a control structure, as in the `try-catch-finally` idiom, results in convoluted code. It also tends to encourage programmers to label too many ordinary errors, such as failing to open a file, as exceptional.

Go takes a different approach. For plain error handling, Go's multi-value returns make it easy to report an error without overloading the return value. A canonical error type, coupled with Go's other features, makes error handling pleasant but quite different from that in other languages.

Go also has a couple of built-in functions to signal and recover from truly exceptional conditions. The recovery mechanism is executed only as part of a function's state being torn down after an error, which is sufficient to handle catastrophe but requires no extra control structures and, when used well, can result in clean error-handling code.

See the Defer, Panic, and Recover article for details.

### Why does Go not have assertions?

Go doesn't provide assertions. They are undeniably convenient, but our experience has been that programmers use them as a crutch to avoid thinking about proper error handling and reporting. Proper error handling means that servers continue operation after non-fatal errors instead of crashing. Proper error reporting means that errors are direct and to the point, saving the programmer from interpreting a large crash trace. Precise errors are particularly important when the programmer seeing the errors is not familiar with the code.

We understand that this is a point of contention. There are many things in the Go language and libraries that differ from modern practices, simply because we feel it's sometimes worth trying a different approach.

### Why build concurrency on the ideas of CSP?

Concurrency and multi-threaded programming have a reputation for difficulty. We believe this is due partly to complex designs such as pthreads and partly to overemphasis on low-level details such as mutexes, condition variables, and memory barriers. Higher-level interfaces enable much simpler code, even if there are still mutexes and such under the covers.

One of the most successful models for providing high-level linguistic support for concurrency comes from Hoare's Communicating Sequential Processes, or CSP. Occam and Erlang are two well known languages that stem from CSP. Go's concurrency primitives derive from a different part of the family tree whose main contribution is the powerful notion of channels as first class objects. Experience with several earlier languages has shown that the CSP model fits well into a procedural language framework.

### Why goroutines instead of threads?

Goroutines are part of making concurrency easy to use. The idea, which has been around for a while, is to multiplex independently executing functions—coroutines—onto a set of threads. When a coroutine blocks, such as by calling a blocking system call, the run-time automatically moves other coroutines on the same operating system thread to a different, runnable thread so they won't be blocked. The programmer sees none of this, which is the point. The result, which we call goroutines, can be very cheap: they have little overhead beyond the memory for the stack, which is just a few kilobytes.

To make the stacks small, Go's run-time uses resizable, bounded stacks. A newly minted goroutine is given a few kilobytes, which is almost always enough. When it isn't, the run-time grows (and shrinks) the memory for storing the stack automatically, allowing many goroutines to live in a modest amount of memory. The CPU overhead averages about three cheap instructions per function call. It is practical to create hundreds of thousands of goroutines in the same address space. If goroutines were just threads, system resources would run out at a much smaller number.

### Why are map operations not defined to be atomic?

After long discussion it was decided that the typical use of maps did not require safe access from multiple goroutines, and in those cases where it did, the map was probably part of some larger data structure or computation that was already synchronized. Therefore requiring that all map operations grab a mutex would slow down most programs and add safety to few. This was not an easy decision, however, since it means uncontrolled map access can crash the program.

The language does not preclude atomic map updates. When required, such as when hosting an untrusted program, the implementation could interlock map access.

### Will you accept my language change?

People often suggest improvements to the language—the mailing list contains a rich history of such discussions—but very few of these changes have been accepted.

Although Go is an open source project, the language and libraries are protected by a compatibility promise that prevents changes that break existing programs. If your proposal violates the Go 1 specification we cannot even entertain the idea, regardless of its merit. A future major release of Go may be incompatible with Go 1, but we're not ready to start talking about what that might be.

Even if your proposal is compatible with the Go 1 spec, it might not be in the spirit of Go's design goals. The article Go at Google: Language Design in the Service of Software Engineering explains Go's origins and the motivation behind its design.

## Types

### Is Go an object-oriented language?

Yes and no. Although Go has types and methods and allows an object-oriented style of programming, there is no type hierarchy. The concept of “interface” in Go provides a different approach that we believe is easy to use and in some ways more general. There are also ways to embed types in other types to provide something analogous—but not identical—to subclassing. Moreover, methods in Go are more general than in C++ or Java: they can be defined for any sort of data, even built-in types such as plain, “unboxed” integers. They are not restricted to structs (classes).

Also, the lack of type hierarchy makes “objects” in Go feel much more lightweight than in languages such as C++ or Java.

### How do I get dynamic dispatch of methods?

The only way to have dynamically dispatched methods is through an interface. Methods on a struct or any other concrete type are always resolved statically.

### Why is there no type inheritance?

Object-oriented programming, at least in the best-known languages, involves too much discussion of the relationships between types, relationships that often could be derived automatically. Go takes a different approach.

Rather than requiring the programmer to declare ahead of time that two types are related, in Go a type automatically satisfies any interface that specifies a subset of its methods. Besides reducing the bookkeeping, this approach has real advantages. Types can satisfy many interfaces at once, without the complexities of traditional multiple inheritance. Interfaces can be very lightweight—an interface with one or even zero methods can express a useful concept. Interfaces can be added after the fact if a new idea comes along or for testing—without annotating the original types. Because there are no explicit relationships between types and interfaces, there is no type hierarchy to manage or discuss.

It's possible to use these ideas to construct something analogous to type-safe Unix pipes. For instance, see how `fmt.Fprintf` enables formatted printing to any output, not just a file, or how the `bufio` package can be completely separate from file I/O, or how the `image` packages generate compressed image files. All these ideas stem from a single interface (`io.Writer`) representing a single method (`Write`). And that's only scratching the surface. Go's interfaces have a profound influence on how programs are structured.

It takes some getting used to but this implicit style of type dependency is one of the most productive things about Go.

### Why is `len` a function and not a method?

We debated this issue but decided implementing `len` and friends as functions was fine in practice and didn't complicate questions about the interface (in the Go type sense) of basic types.

### Why does Go not support overloading of methods and operators?

Method dispatch is simplified if it doesn't need to do type matching as well. Experience with other languages told us that having a variety of methods with the same name but different signatures was occasionally useful but that it could also be confusing and fragile in practice. Matching only by name and requiring consistency in the types was a major simplifying decision in Go's type system.

Regarding operator overloading, it seems more a convenience than an absolute requirement. Again, things are simpler without it.

### Why doesn't Go have "implements" declarations?

A Go type satisfies an interface by implementing the methods of that interface, nothing more. This property allows interfaces to be defined and used without having to modify existing code. It enables a kind of structural typing that promotes separation of concerns and improves code re-use, and makes it easier to build on patterns that emerge as the code develops. The semantics of interfaces is one of the main reasons for Go's nimble, lightweight feel.

See the question on type inheritance for more detail.

### How can I guarantee my type satisfies an interface?

You can ask the compiler to check that the type `T` implements the interface `I` by attempting an assignment:

    type T struct{}
    var _ I = T{}   // Verify that T implements I.

If `T` doesn't implement `I`, the mistake will be caught at compile time.

If you wish the users of an interface to explicitly declare that they implement it, you can add a method with a descriptive name to the interface's method set. For example:

    type Fooer interface {
        Foo()
        ImplementsFooer()
    }

A type must then implement the `ImplementsFooer` method to be a `Fooer`, clearly documenting the fact and announcing it in godoc's output.

    type Bar struct{}
    func (b Bar) ImplementsFooer() {}
    func (b Bar) Foo() {}

Most code doesn't make use of such constraints, since they limit the utility of the interface idea. Sometimes, though, they're necessary to resolve ambiguities among similar interfaces.

### Why doesn't type T satisfy the Equal interface?

Consider this simple interface to represent an object that can compare itself with another value:

    type Equaler interface {
        Equal(Equaler) bool
    }

and this type, `T`:

    type T int
    func (t T) Equal(u T) bool { return t == u } // does not satisfy Equaler

Unlike the analogous situation in some polymorphic type systems, `T` does not implement `Equaler`. The argument type of `T.Equal` is `T`, not literally the required type `Equaler`.

In Go, the type system does not promote the argument of `Equal`; that is the programmer's responsibility, as illustrated by the type `T2`, which does implement `Equaler`:

    type T2 int
    func (t T2) Equal(u Equaler) bool { return t == u.(T2) }  // satisfies Equaler

Even this isn't like other type systems, though, because in Go any type that satisfies `Equaler` could be passed as the argument to `T2.Equal`, and at run time we must check that the argument is of type `T2`. Some languages arrange to make that guarantee at compile time.

A related example goes the other way:

    type Opener interface {
       Open() Reader
    }

    func (t T3) Open() *os.File

In Go, `T3` does not satisfy `Opener`, although it might in another language.

While it is true that Go's type system does less for the programmer in such cases, the lack of subtyping makes the rules about interface satisfaction very easy to state: are the function's names and signatures exactly those of the interface? Go's rule is also easy to implement efficiently. We feel these benefits offset the lack of automatic type promotion. Should Go one day adopt some form of generic typing, we expect there would be a way to express the idea of these examples and also have them be statically checked.

### Can I convert a []T to an []interface{}?

Not directly, because they do not have the same representation in memory. It is necessary to copy the elements individually to the destination slice. This example converts a slice of `int` to a slice of `interface{}`:

    t := []int{1, 2, 3, 4}
    s := make([]interface{}, len(t))
    for i, v := range t {
        s[i] = v
    }

### Why is my nil error value not equal to nil?

Under the covers, interfaces are implemented as two elements, a type and a value. The value, called the interface's dynamic value, is an arbitrary concrete value and the type is that of the value. For the `int` value 3, an interface value contains, schematically, (`int`, `3`).

An interface value is `nil` only if the inner value and type are both unset, (`nil`, `nil`). In particular, a `nil` interface will always hold a `nil` type. If we store a pointer of type `*int` inside an interface value, the inner type will be `*int` regardless of the value of the pointer: (`*int`, `nil`). Such an interface value will therefore be non-`nil` even when the pointer inside is `nil`.

This situation can be confusing, and often arises when a `nil` value is stored inside an interface value such as an `error` return:

    func returnsError() error {
    	var p *MyError = nil
    	if bad() {
    		p = ErrBad
    	}
    	return p // Will always return a non-nil error.
    }

If all goes well, the function returns a `nil` `p`, so the return value is an `error` interface value holding (`*MyError`, `nil`). This means that if the caller compares the returned error to `nil`, it will always look as if there was an error even if nothing bad happened. To return a proper `nil` `error` to the caller, the function must return an explicit `nil`:

    func returnsError() error {
    	if bad() {
    		return ErrBad
    	}
    	return nil
    }

It's a good idea for functions that return errors always to use the `error` type in their signature (as we did above) rather than a concrete type such as `*MyError`, to help guarantee the error is created correctly. As an example, `os.Open` returns an `error` even though, if not `nil`, it's always of concrete type `*os.PathError`.

Similar situations to those described here can arise whenever interfaces are used. Just keep in mind that if any concrete value has been stored in the interface, the interface will not be `nil`. For more information, see The Laws of Reflection.

### Why are there no untagged unions, as in C?

Untagged unions would violate Go's memory safety guarantees.

### Why does Go not have variant types?

Variant types, also known as algebraic types, provide a way to specify that a value might take one of a set of other types, but only those types. A common example in systems programming would specify that an error is, say, a network error, a security error or an application error and allow the caller to discriminate the source of the problem by examining the type of the error. Another example is a syntax tree in which each node can be a different type: declaration, statement, assignment and so on.

We considered adding variant types to Go, but after discussion decided to leave them out because they overlap in confusing ways with interfaces. What would happen if the elements of a variant type were themselves interfaces?

Also, some of what variant types address is already covered by the language. The error example is easy to express using an interface value to hold the error and a type switch to discriminate cases. The syntax tree example is also doable, although not as elegantly.

## Values

### Why does Go not provide implicit numeric conversions?

The convenience of automatic conversion between numeric types in C is outweighed by the confusion it causes. When is an expression unsigned? How big is the value? Does it overflow? Is the result portable, independent of the machine on which it executes? It also complicates the compiler; “the usual arithmetic conversions” are not easy to implement and inconsistent across architectures. For reasons of portability, we decided to make things clear and straightforward at the cost of some explicit conversions in the code. The definition of constants in Go—arbitrary precision values free of signedness and size annotations—ameliorates matters considerably, though.

A related detail is that, unlike in C, `int` and `int64` are distinct types even if `int` is a 64-bit type. The `int` type is generic; if you care about how many bits an integer holds, Go encourages you to be explicit.

A blog post, title Constants, explores this topic in more detail.

### Why are maps built in?

The same reason strings are: they are such a powerful and important data structure that providing one excellent implementation with syntactic support makes programming more pleasant. We believe that Go's implementation of maps is strong enough that it will serve for the vast majority of uses. If a specific application can benefit from a custom implementation, it's possible to write one but it will not be as convenient syntactically; this seems a reasonable tradeoff.

### Why don't maps allow slices as keys?

Map lookup requires an equality operator, which slices do not implement. They don't implement equality because equality is not well defined on such types; there are multiple considerations involving shallow vs. deep comparison, pointer vs. value comparison, how to deal with recursive types, and so on. We may revisit this issue—and implementing equality for slices will not invalidate any existing programs—but without a clear idea of what equality of slices should mean, it was simpler to leave it out for now.

In Go 1, unlike prior releases, equality is defined for structs and arrays, so such types can be used as map keys. Slices still do not have a definition of equality, though.

### Why are maps, slices, and channels references while arrays are values?

There's a lot of history on that topic. Early on, maps and channels were syntactically pointers and it was impossible to declare or use a non-pointer instance. Also, we struggled with how arrays should work. Eventually we decided that the strict separation of pointers and values made the language harder to use. Changing these types to act as references to the associated, shared data structures resolved these issues. This change added some regrettable complexity to the language but had a large effect on usability: Go became a more productive, comfortable language when it was introduced.

## Writing Code

### How are libraries documented?

There is a program, `godoc`, written in Go, that extracts package documentation from the source code. It can be used on the command line or on the web. An instance is running at golang.org/pkg/. In fact, `godoc` implements the full site at golang.org/.

### Is there a Go programming style guide?

Eventually, there may be a small number of rules to guide things like naming, layout, and file organization. The document Effective Go contains some style advice. More directly, the program `gofmt` is a pretty-printer whose purpose is to enforce layout rules; it replaces the usual compendium of do's and don'ts that allows interpretation. All the Go code in the repository has been run through `gofmt`.

The document titled Go Code Review Comments is a collection of very short essays about details of Go idiom that are often missed by programmers. It is a handy reference for people doing code reviews for Go projects.

### How do I submit patches to the Go libraries?

The library sources are in the `src` directory of the repository. If you want to make a significant change, please discuss on the mailing list before embarking.

See the document Contributing to the Go project for more information about how to proceed.

### Why does the project use Mercurial and not git?

The Go project, hosted by Google Code at code.google.com/p/go, uses Mercurial as its version control system. When the project launched, Google Code supported only Subversion and Mercurial. Mercurial was a better choice because of its plugin mechanism that allowed us to create the "codereview" plugin to connect the project to the excellent code review tools at codereview.appspot.com.

Programmers who work with the Go project's source rather than release downloads sometimes ask for the project to switch to git. That would be possible, but it would be a lot of work and would also require reimplementing the codereview plugin. Given that Mercurial works today, with code review support, combined with the Go project's mostly linear, non-branching use of version control, a switch to git doesn't seem worthwhile.

### Why does "go get" use HTTPS when cloning a repository?

Companies often permit outgoing traffic only on the standard TCP ports 80 (HTTP) and 443 (HTTPS), blocking outgoing traffic on other ports, including TCP port 9418 (git) and TCP port 22 (SSH). When using HTTPS instead of HTTP, `git` enforces certificate validation by default, providing protection against man-in-the-middle, eavesdropping and tampering attacks. The `go get` command therefore uses HTTPS for safety.

If you use `git` and prefer to push changes through SSH using your existing key it's easy to work around this. For GitHub, try one of these solutions:

- Manually clone the repository in the expected package directory:

      $ cd $GOPATH/src/github.com/username
      $ git clone git@github.com:username/package.git

- Force `git push` to use the `SSH` protocol by appending these two lines to `~/.gitconfig`:

      [url "git@github.com:"]
      	pushInsteadOf = https://github.com/

### How should I manage package versions using "go get"?

"Go get" does not have any explicit concept of package versions. Versioning is a source of significant complexity, especially in large code bases, and we are unaware of any approach that works well at scale in a large enough variety of situations to be appropriate to force on all Go users. What "go get" and the larger Go toolchain do provide is isolation of packages with different import paths. For example, the standard library's `html/template` and `text/template` coexist even though both are "package template". This observation leads to some advice for package authors and package users.

Packages intended for public use should try to maintain backwards compatibility as they evolve. The Go 1 compatibility guidelines are a good reference here: don't remove exported names, encourage tagged composite literals, and so on. If different functionality is required, add a new name instead of changing an old one. If a complete break is required, create a new package with a new import path.

If you're using an externally supplied package and worry that it might change in unexpected ways, the simplest solution is to copy it to your local repository. (This is the approach Google takes internally.) Store the copy under a new import path that identifies it as a local copy. For example, you might copy "original.com/pkg" to "you.com/external/original.com/pkg". Keith Rarick's goven is one tool to help automate this process.

## Pointers and Allocation

### When are function parameters passed by value?

As in all languages in the C family, everything in Go is passed by value. That is, a function always gets a copy of the thing being passed, as if there were an assignment statement assigning the value to the parameter. For instance, passing an `int` value to a function makes a copy of the `int`, and passing a pointer value makes a copy of the pointer, but not the data it points to. (See the next section for a discussion of how this affects method receivers.)

Map and slice values behave like pointers: they are descriptors that contain pointers to the underlying map or slice data. Copying a map or slice value doesn't copy the data it points to. Copying an interface value makes a copy of the thing stored in the interface value. If the interface value holds a struct, copying the interface value makes a copy of the struct. If the interface value holds a pointer, copying the interface value makes a copy of the pointer, but again not the data it points to.

### When should I use a pointer to an interface?

Almost never. Pointers to interface values arise only in rare, tricky situations involving disguising an interface value's type for delayed evaluation.

It is however a common mistake to pass a pointer to an interface value to a function expecting an interface. The compiler will complain about this error but the situation can still be confusing, because sometimes a pointer is necessary to satisfy an interface. The insight is that although a pointer to a concrete type can satisfy an interface, with one exception a pointer to an interface can never satisfy an interface.

Consider the variable declaration,

    var w io.Writer

The printing function `fmt.Fprintf` takes as its first argument a value that satisfies `io.Writer`—something that implements the canonical `Write` method. Thus we can write

    fmt.Fprintf(w, "hello, world\n")

If however we pass the address of `w`, the program will not compile.

    fmt.Fprintf(&w, "hello, world\n") // Compile-time error.

The one exception is that any value, even a pointer to an interface, can be assigned to a variable of empty interface type (`interface{}`). Even so, it's almost certainly a mistake if the value is a pointer to an interface; the result can be confusing.

### Should I define methods on values or pointers?

    func (s *MyStruct) pointerMethod() { } // method on pointer
    func (s MyStruct)  valueMethod()   { } // method on value

For programmers unaccustomed to pointers, the distinction between these two examples can be confusing, but the situation is actually very simple. When defining a method on a type, the receiver (`s` in the above examples) behaves exactly as if it were an argument to the method. Whether to define the receiver as a value or as a pointer is the same question, then, as whether a function argument should be a value or a pointer. There are several considerations.

First, and most important, does the method need to modify the receiver? If it does, the receiver must be a pointer. (Slices and maps act as references, so their story is a little more subtle, but for instance to change the length of a slice in a method the receiver must still be a pointer.) In the examples above, if `pointerMethod` modifies the fields of `s`, the caller will see those changes, but `valueMethod` is called with a copy of the caller's argument (that's the definition of passing a value), so changes it makes will be invisible to the caller.

By the way, pointer receivers are identical to the situation in Java, although in Java the pointers are hidden under the covers; it's Go's value receivers that are unusual.

Second is the consideration of efficiency. If the receiver is large, a big `struct` for instance, it will be much cheaper to use a pointer receiver.

Next is consistency. If some of the methods of the type must have pointer receivers, the rest should too, so the method set is consistent regardless of how the type is used. See the section on method sets for details.

For types such as basic types, slices, and small `structs`, a value receiver is very cheap so unless the semantics of the method requires a pointer, a value receiver is efficient and clear.

### What's the difference between new and make?

In short: `new` allocates memory, `make` initializes the slice, map, and channel types.

See the relevant section of Effective Go for more details.

### What is the size of an `int` on a 64 bit machine?

The sizes of `int` and `uint` are implementation-specific but the same as each other on a given platform. For portability, code that relies on a particular size of value should use an explicitly sized type, like `int64`. Prior to Go 1.1, the 64-bit Go compilers (both gc and gccgo) used a 32-bit representation for `int`. As of Go 1.1 they use a 64-bit representation. On the other hand, floating-point scalars and complex numbers are always sized: `float32`, `complex64`, etc., because programmers should be aware of precision when using floating-point numbers. The default size of a floating-point constant is `float64`.

### How do I know whether a variable is allocated on the heap or the stack?

From a correctness standpoint, you don't need to know. Each variable in Go exists as long as there are references to it. The storage location chosen by the implementation is irrelevant to the semantics of the language.

The storage location does have an effect on writing efficient programs. When possible, the Go compilers will allocate variables that are local to a function in that function's stack frame. However, if the compiler cannot prove that the variable is not referenced after the function returns, then the compiler must allocate the variable on the garbage-collected heap to avoid dangling pointer errors. Also, if a local variable is very large, it might make more sense to store it on the heap rather than the stack.

In the current compilers, if a variable has its address taken, that variable is a candidate for allocation on the heap. However, a basic escape analysis recognizes some cases when such variables will not live past the return from the function and can reside on the stack.

### Why does my Go process use so much virtual memory?

The Go memory allocator reserves a large region of virtual memory as an arena for allocations. This virtual memory is local to the specific Go process; the reservation does not deprive other processes of memory.

To find the amount of actual memory allocated to a Go process, use the Unix `top` command and consult the `RES` (Linux) or `RSIZE` (Mac OS X) columns.

## Concurrency

### What operations are atomic? What about mutexes?

We haven't fully defined it all yet, but some details about atomicity are available in the Go Memory Model specification.

Regarding mutexes, the sync package implements them, but we hope Go programming style will encourage people to try higher-level techniques. In particular, consider structuring your program so that only one goroutine at a time is ever responsible for a particular piece of data.

Do not communicate by sharing memory. Instead, share memory by communicating.

See the Share Memory By Communicating code walk and its associated article for a detailed discussion of this concept.

### Why doesn't my multi-goroutine program use multiple CPUs?

You must set the `GOMAXPROCS` shell environment variable or use the similarly-named `function` of the runtime package to allow the run-time support to utilize more than one OS thread.

Programs that perform parallel computation should benefit from an increase in `GOMAXPROCS`. However, be aware that concurrency is not parallelism.

### Why does using `GOMAXPROCS` > 1 sometimes make my program slower?

It depends on the nature of your program. Problems that are intrinsically sequential cannot be sped up by adding more goroutines. Concurrency only becomes parallelism when the problem is intrinsically parallel.

In practical terms, programs that spend more time communicating on channels than doing computation will experience performance degradation when using multiple OS threads. This is because sending data between threads involves switching contexts, which has significant cost. For instance, the prime sieve example from the Go specification has no significant parallelism although it launches many goroutines; increasing `GOMAXPROCS` is more likely to slow it down than to speed it up.

Go's goroutine scheduler is not as good as it needs to be. In the future, it should recognize such cases and optimize its use of OS threads. For now, `GOMAXPROCS` should be set on a per-application basis.

For more detail on this topic see the talk entitled, Concurrency is not Parallelism.

## Functions and Methods

### Why do T and *T have different method sets?

From the Go Spec:

> The method set of any other named type `T` consists of all methods with receiver type `T`. The method set of the corresponding pointer type `*T` is the set of all methods with receiver `*T` or `T` (that is, it also contains the method set of `T`).

If an interface value contains a pointer `*T`, a method call can obtain a value by dereferencing the pointer, but if an interface value contains a value `T`, there is no useful way for a method call to obtain a pointer.

Even in cases where the compiler could take the address of a value to pass to the method, if the method modifies the value the changes will be lost in the caller. As a common example, this code:

    var buf bytes.Buffer
    io.Copy(buf, os.Stdin)

would copy standard input into a copy of `buf`, not into `buf` itself. This is almost never the desired behavior.

### What happens with closures running as goroutines?

Some confusion may arise when using closures with concurrency. Consider the following program:

    func main() {
        done := make(chan bool)

        values := []string{"a", "b", "c"}
        for _, v := range values {
            go func() {
                fmt.Println(v)
                done <- true
            }()
        }

        // wait for all goroutines to complete before exiting
        for _ = range values {
            <-done
        }
    }

One might mistakenly expect to see `a, b, c` as the output. What you'll probably see instead is `c, c, c`. This is because each iteration of the loop uses the same instance of the variable `v`, so each closure shares that single variable. When the closure runs, it prints the value of `v` at the time `fmt.Println` is executed, but `v` may have been modified since the goroutine was launched. To help detect this and other problems before they happen, run `go vet`.

To bind the current value of `v` to each closure as it is launched, one must modify the inner loop to create a new variable each iteration. One way is to pass the variable as an argument to the closure:

        for _, v := range values {
            go func(u string) {
                fmt.Println(u)
                done <- true
            }(v)
        }

In this example, the value of `v` is passed as an argument to the anonymous function. That value is then accessible inside the function as the variable `u`.

Even easier is just to create a new variable, using a declaration style that may seem odd but works fine in Go:

        for _, v := range values {
            v := v // create a new 'v'.
            go func() {
                fmt.Println(v)
                done <- true
            }()
        }

## Control flow

### Does Go have the `?:` operator?

There is no ternary form in Go. You may use the following to achieve the same result:

    if expr {
        n = trueVal
    } else {
        n = falseVal
    }

## Packages and Testing

### How do I create a multifile package?

Put all the source files for the package in a directory by themselves. Source files can refer to items from different files at will; there is no need for forward declarations or a header file.

Other than being split into multiple files, the package will compile and test just like a single-file package.

### How do I write a unit test?

Create a new file ending in `_test.go` in the same directory as your package sources. Inside that file, `import "testing"` and write functions of the form

    func TestFoo(t *testing.T) {
        ...
    }

Run `go test` in that directory. That script finds the `Test` functions, builds a test binary, and runs it.

See the How to Write Go Code document, the `testing` package and the `go test` subcommand for more details.

### Where is my favorite helper function for testing?

Go's standard `testing` package makes it easy to write unit tests, but it lacks features provided in other language's testing frameworks such as assertion functions. An earlier section of this document explained why Go doesn't have assertions, and the same arguments apply to the use of `assert` in tests. Proper error handling means letting other tests run after one has failed, so that the person debugging the failure gets a complete picture of what is wrong. It is more useful for a test to report that `isPrime` gives the wrong answer for 2, 3, 5, and 7 (or for 2, 4, 8, and 16) than to report that `isPrime` gives the wrong answer for 2 and therefore no more tests were run. The programmer who triggers the test failure may not be familiar with the code that fails. Time invested writing a good error message now pays off later when the test breaks.

A related point is that testing frameworks tend to develop into mini-languages of their own, with conditionals and controls and printing mechanisms, but Go already has all those capabilities; why recreate them? We'd rather write tests in Go; it's one fewer language to learn and the approach keeps the tests straightforward and easy to understand.

If the amount of extra code required to write good errors seems repetitive and overwhelming, the test might work better if table-driven, iterating over a list of inputs and outputs defined in a data structure (Go has excellent support for data structure literals). The work to write a good test and good error messages will then be amortized over many test cases. The standard Go library is full of illustrative examples, such as in the formatting tests for the `fmt` package.

## Implementation

### What compiler technology is used to build the compilers?

`Gccgo` has a front end written in C++, with a recursive descent parser coupled to the standard GCC back end. `Gc` is written in C using `yacc`/`bison` for the parser. Although it's a new program, it fits in the Plan 9 C compiler suite (http://plan9.bell-labs.com/sys/doc/compiler.html) and uses a variant of the Plan 9 loader to generate ELF/Mach-O/PE binaries.

We considered using LLVM for `gc` but we felt it was too large and slow to meet our performance goals.

We also considered writing `gc`, the original Go compiler, in Go itself but elected not to do so because of the difficulties of bootstrapping and especially of open source distribution—you'd need a Go compiler to set up a Go environment. `Gccgo`, which came later, makes it possible to consider writing a compiler in Go. A plan to do that by machine translation of the existing compiler is under development. A separate document explains the reason for this approach.

That plan aside, Go is a fine language in which to implement a self-hosting compiler: a native lexer and parser are already available in the `go` package and a separate type checking package has also been written.

### How is the run-time support implemented?

Again due to bootstrapping issues, the run-time code was originally written mostly in C (with a tiny bit of assembler) although much of it has been translated to Go since then and one day all of it might be (except for the assembler bits). `Gccgo`'s run-time support uses `glibc`. `Gc` uses a custom C library to keep the footprint under control; it is compiled with a version of the Plan 9 C compiler that supports resizable stacks for goroutines. The `gccgo` compiler implements these on Linux only, using a technique called segmented stacks, supported by recent modifications to the gold linker.

### Why is my trivial program such a large binary?

The linkers in the gc tool chain (`5l`, `6l`, and `8l`) do static linking. All Go binaries therefore include the Go run-time, along with the run-time type information necessary to support dynamic type checks, reflection, and even panic-time stack traces.

A simple C "hello, world" program compiled and linked statically using gcc on Linux is around 750 kB, including an implementation of `printf`. An equivalent Go program using `fmt.Printf` is around 1.9 MB, but that includes more powerful run-time support and type information.

### Can I stop these complaints about my unused variable/import?

The presence of an unused variable may indicate a bug, while unused imports just slow down compilation, an effect that can become substantial as a program accumulates code and programmers over time. For these reasons, Go refuses to compile programs with unused variables or imports, trading short-term convenience for long-term build speed and program clarity.

Still, when developing code, it's common to create these situations temporarily and it can be annoying to have to edit them out before the program will compile.

Some have asked for a compiler option to turn those checks off or at least reduce them to warnings. Such an option has not been added, though, because compiler options should not affect the semantics of the language and because the Go compiler does not report warnings, only errors that prevent compilation.

There are two reasons for having no warnings. First, if it's worth complaining about, it's worth fixing in the code. (And if it's not worth fixing, it's not worth mentioning.) Second, having the compiler generate warnings encourages the implementation to warn about weak cases that can make compilation noisy, masking real errors that should be fixed.

It's easy to address the situation, though. Use the blank identifier to let unused things persist while you're developing.

    import "unused"

    // This declaration marks the import as used by referencing an
    // item from the package.
    var _ = unused.Item  // TODO: Delete before committing!

    func main() {
        debugData := debug.Profile()
        _ = debugData // Used only during debugging.
        ....
    }

Nowadays, most Go programmers use a tool, goimports, which automatically rewrites a Go source file to have the correct imports, eliminating the unused imports issue in practice. This program is easily connected to most editors to run automatically when a Go source file is written.

## Performance

### Why does Go perform badly on benchmark X?

One of Go's design goals is to approach the performance of C for comparable programs, yet on some benchmarks it does quite poorly, including several in test/bench/shootout. The slowest depend on libraries for which versions of comparable performance are not available in Go. For instance, pidigits.go depends on a multi-precision math package, and the C versions, unlike Go's, use GMP (which is written in optimized assembler). Benchmarks that depend on regular expressions (regex-dna.go, for instance) are essentially comparing Go's native regexp package to mature, highly optimized regular expression libraries like PCRE.

Benchmark games are won by extensive tuning and the Go versions of most of the benchmarks need attention. If you measure comparable C and Go programs (reverse-complement.go is one example), you'll see the two languages are much closer in raw performance than this suite would indicate.

Still, there is room for improvement. The compilers are good but could be better, many libraries need major performance work, and the garbage collector isn't fast enough yet. (Even if it were, taking care not to generate unnecessary garbage can have a huge effect.)

In any case, Go can often be very competitive. There has been significant improvement in the performance of many programs as the language and tools have developed. See the blog post about profiling Go programs for an informative example.

## Changes from C

### Why is the syntax so different from C?

Other than declaration syntax, the differences are not major and stem from two desires. First, the syntax should feel light, without too many mandatory keywords, repetition, or arcana. Second, the language has been designed to be easy to analyze and can be parsed without a symbol table. This makes it much easier to build tools such as debuggers, dependency analyzers, automated documentation extractors, IDE plug-ins, and so on. C and its descendants are notoriously difficult in this regard.

### Why are declarations backwards?

They're only backwards if you're used to C. In C, the notion is that a variable is declared like an expression denoting its type, which is a nice idea, but the type and expression grammars don't mix very well and the results can be confusing; consider function pointers. Go mostly separates expression and type syntax and that simplifies things (using prefix `*` for pointers is an exception that proves the rule). In C, the declaration

        int* a, b;

declares `a` to be a pointer but not `b`; in Go

        var a, b *int

declares both to be pointers. This is clearer and more regular. Also, the `:=` short declaration form argues that a full variable declaration should present the same order as `:=` so

        var a uint64 = 1

has the same effect as

        a := uint64(1)

Parsing is also simplified by having a distinct grammar for types that is not just the expression grammar; keywords such as `func` and `chan` keep things clear.

See the article about Go's Declaration Syntax for more details.

### Why is there no pointer arithmetic?

Safety. Without pointer arithmetic it's possible to create a language that can never derive an illegal address that succeeds incorrectly. Compiler and hardware technology have advanced to the point where a loop using array indices can be as efficient as a loop using pointer arithmetic. Also, the lack of pointer arithmetic can simplify the implementation of the garbage collector.

### Why are `++` and `--` statements and not expressions? And why postfix, not prefix?

Without pointer arithmetic, the convenience value of pre- and postfix increment operators drops. By removing them from the expression hierarchy altogether, expression syntax is simplified and the messy issues around order of evaluation of `++` and `--` (consider `f(i++)` and `p[i] = q[++i]`) are eliminated as well. The simplification is significant. As for postfix vs. prefix, either would work fine but the postfix version is more traditional; insistence on prefix arose with the STL, a library for a language whose name contains, ironically, a postfix increment.

### Why are there braces but no semicolons? And why can't I put the opening brace on the next line?

Go uses brace brackets for statement grouping, a syntax familiar to programmers who have worked with any language in the C family. Semicolons, however, are for parsers, not for people, and we wanted to eliminate them as much as possible. To achieve this goal, Go borrows a trick from BCPL: the semicolons that separate statements are in the formal grammar but are injected automatically, without lookahead, by the lexer at the end of any line that could be the end of a statement. This works very well in practice but has the effect that it forces a brace style. For instance, the opening brace of a function cannot appear on a line by itself.

Some have argued that the lexer should do lookahead to permit the brace to live on the next line. We disagree. Since Go code is meant to be formatted automatically by `gofmt`, some style must be chosen. That style may differ from what you've used in C or Java, but Go is a new language and `gofmt`'s style is as good as any other. More important—much more important—the advantages of a single, programmatically mandated format for all Go programs greatly outweigh any perceived disadvantages of the particular style. Note too that Go's style means that an interactive implementation of Go can use the standard syntax one line at a time without special rules.

### Why do garbage collection? Won't it be too expensive?

One of the biggest sources of bookkeeping in systems programs is memory management. We feel it's critical to eliminate that programmer overhead, and advances in garbage collection technology in the last few years give us confidence that we can implement it with low enough overhead and no significant latency.

Another point is that a large part of the difficulty of concurrent and multi-threaded programming is memory management; as objects get passed among threads it becomes cumbersome to guarantee they become freed safely. Automatic garbage collection makes concurrent code far easier to write. Of course, implementing garbage collection in a concurrent environment is itself a challenge, but meeting it once rather than in every program helps everyone.

Finally, concurrency aside, garbage collection makes interfaces simpler because they don't need to specify how memory is managed across them.

The current implementation is a parallel mark-and-sweep collector but a future version might take a different approach.

On the topic of performance, keep in mind that Go gives the programmer considerable control over memory layout and allocation, much more than is typical in garbage-collected languages. A careful programmer can reduce the garbage collection overhead dramatically by using the language well; see the article about profiling Go programs for a worked example, including a demonstration of Go's profiling tools.