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Dataphos Go Style Guide

Table of Contents

Introduction

Styles are the conventions that govern our code. The term style is a bit of a misnomer, since these conventions cover far more than just source file formatting—gofmt handles that for us.

The goal of this guide is to manage this complexity by describing in detail the Dos and Don'ts of writing Go code. These rules exist to keep the code base manageable while still allowing engineers to use Go language features productively.

This guide is a slight adaptation of Ubers style guide which can be found here: https://github.com/uber-go/guide

A lot of these are general guidelines for Go, while others extend upon external resources:

  1. Effective Go
  2. Go Common Mistakes
  3. Go Code Review Comments

All code should be error-free when run through golint and go vet. We recommend setting up your editor to:

  • Run goimports on save
  • Run golint and go vet to check for errors

You can find information in editor support for Go tools here: https://github.com/golang/go/wiki/IDEsAndTextEditorPlugins

Guidelines

Pointers to Interfaces

You almost never need a pointer to an interface. You should be passing interfaces as values—the underlying data can still be a pointer.

An interface is two fields:

  1. A pointer to some type-specific information. You can think of this as "type."
  2. Data pointer. If the data stored is a pointer, it’s stored directly. If the data stored is a value, then a pointer to the value is stored.

If you want interface methods to modify the underlying data, you must use a pointer.

Verify Interface Compliance

Verify interface compliance at compile time where appropriate. This includes:

  • Exported types that are required to implement specific interfaces as part of their API contract
  • Exported or unexported types that are part of a collection of types implementing the same interface
  • Other cases where violating an interface would break users
BadGood
type Handler struct {
  // ...
}



func (h *Handler) ServeHTTP(
  w http.ResponseWriter,
  r *http.Request,
) {
  ...
}
type Handler struct {
  // ...
}

var _ http.Handler = (*Handler)(nil)

func (h *Handler) ServeHTTP(
  w http.ResponseWriter,
  r *http.Request,
) {
  // ...
}

The statement var _ http.Handler = (*Handler)(nil) will fail to compile if *Handler ever stops matching the http.Handler interface.

The right hand side of the assignment should be the zero value of the asserted type. This is nil for pointer types (like *Handler), slices, and maps, and an empty struct for struct types.

type LogHandler struct {
  h   http.Handler
  log *zap.Logger
}

var _ http.Handler = LogHandler{}

func (h LogHandler) ServeHTTP(
  w http.ResponseWriter,
  r *http.Request,
) {
  // ...
}

Receivers and Interfaces

Methods with value receivers can be called on pointers as well as values. Methods with pointer receivers can only be called on pointers or addressable values.

For example,

type S struct {
  data string
}

func (s S) Read() string {
  return s.data
}

func (s *S) Write(str string) {
  s.data = str
}

sVals := map[int]S{1: {"A"}}

// You can only call Read using a value
sVals[1].Read()

// This will not compile:
//  sVals[1].Write("test")

sPtrs := map[int]*S{1: {"A"}}

// You can call both Read and Write using a pointer
sPtrs[1].Read()
sPtrs[1].Write("test")

Similarly, an interface can be satisfied by a pointer, even if the method has a value receiver.

type F interface {
  f()
}

type S1 struct{}

func (s S1) f() {}

type S2 struct{}

func (s *S2) f() {}

s1Val := S1{}
s1Ptr := &S1{}
s2Val := S2{}
s2Ptr := &S2{}

var i F
i = s1Val
i = s1Ptr
i = s2Ptr

// The following doesn't compile, since s2Val is a value, and there is no value receiver for f.
//   i = s2Val

Effective Go has a good write up on Pointers vs. Values.

Zero-value Mutexes are Valid

The zero-value of sync.Mutex and sync.RWMutex is valid, so you almost never need a pointer to a mutex.

BadGood
mu := new(sync.Mutex)
mu.Lock()
var mu sync.Mutex
mu.Lock()

If you use a struct by pointer, then the mutex should be a non-pointer field on it. Do not embed the mutex on the struct, even if the struct is not exported.

BadGood
type SMap struct {
  sync.Mutex

  data map[string]string
}

func NewSMap() *SMap {
  return &SMap{
    data: make(map[string]string),
  }
}

func (m *SMap) Get(k string) string {
  m.Lock()
  defer m.Unlock()

  return m.data[k]
}
type SMap struct {
  mu sync.Mutex

  data map[string]string
}

func NewSMap() *SMap {
  return &SMap{
    data: make(map[string]string),
  }
}

func (m *SMap) Get(k string) string {
  m.mu.Lock()
  defer m.mu.Unlock()

  return m.data[k]
}

The Mutex field, and the Lock and Unlock methods are unintentionally part of the exported API of SMap.

The mutex and its methods are implementation details of SMap hidden from its callers.

Copy Slices and Maps at Boundaries

Slices and maps contain pointers to the underlying data so be wary of scenarios when they need to be copied.

Receiving Slices and Maps

Keep in mind that users can modify a map or slice you received as an argument if you store a reference to it.

Bad Good
func (d *Driver) SetTrips(trips []Trip) {
  d.trips = trips
}

trips := ...
d1.SetTrips(trips)

// Did you mean to modify d1.trips?
trips[0] = ...
func (d *Driver) SetTrips(trips []Trip) {
  d.trips = make([]Trip, len(trips))
  copy(d.trips, trips)
}

trips := ...
d1.SetTrips(trips)

// We can now modify trips[0] without affecting d1.trips.
trips[0] = ...

Returning Slices and Maps

Similarly, be wary of user modifications to maps or slices exposing internal state.

BadGood
type Stats struct {
  mu sync.Mutex
  counters map[string]int
}

// Snapshot returns the current stats.
func (s *Stats) Snapshot() map[string]int {
  s.mu.Lock()
  defer s.mu.Unlock()

  return s.counters
}

// snapshot is no longer protected by the mutex, so any
// access to the snapshot is subject to data races.
snapshot := stats.Snapshot()
type Stats struct {
  mu sync.Mutex
  counters map[string]int
}

func (s *Stats) Snapshot() map[string]int {
  s.mu.Lock()
  defer s.mu.Unlock()

  result := make(map[string]int, len(s.counters))
  for k, v := range s.counters {
    result[k] = v
  }
  return result
}

// Snapshot is now a copy.
snapshot := stats.Snapshot()

Defer to Clean Up

Use defer to clean up resources such as files and locks.

BadGood
p.Lock()
if p.count < 10 {
  p.Unlock()
  return p.count
}

p.count++
newCount := p.count
p.Unlock()

return newCount

// easy to miss unlocks due to multiple returns
p.Lock()
defer p.Unlock()

if p.count < 10 {
  return p.count
}

p.count++
return p.count

// more readable

Defer has an extremely small overhead and should be avoided only if you can prove that your function execution time is in the order of nanoseconds. The readability win of using defers is worth the miniscule cost of using them. This is especially true for larger methods that have more than simple memory accesses, where the other computations are more significant than the defer.

Channel Size is One or None

Channels should usually have a size of one or be unbuffered. By default, channels are unbuffered and have a size of zero. Any other size must be subject to a high level of scrutiny, meaning there should be a measurable reason to use some other size. Consider how the size is determined, what prevents the channel from filling up under load and blocking writers, and what happens when this occurs.

BadGood
// Ought to be enough for anybody!
c := make(chan int, 64)
// Size of one
c := make(chan int, 1) // or
// Unbuffered channel, size of zero
c := make(chan int)

Use Channels Carefully

Go's channels are immensely powerful, allowing you to write clean, but complex concurrent code. However, they are not normal data structures and shouldn't be used as such. Creation of a channel should probably be tightly coupled to goroutines that will be performing writes on it so that we can reason about its behavior and performance more easily. The goroutine that owns a channel should: instantiate the channel, perform writes, or pass ownership to another goroutine, close the channel, encapsulate the previous three things and expose them via a reader channel. Not doing so has the potential to cause deadlocks and other non-deterministic bugs which can't be caught through unit tests. Basically, each channel comes with an implicit "contract", (unknowingly) created by the programmer, which dictates how the channel can be safely used in that specific use case; therefore, if a single channel is used across a substantial chunk of code, every other programmer needs to be aware of that contract. Failing to do so will almost certainly lead to catastrophic bugs.

A good, idiomatic way to use channels is to always encapsulate the channel related stuff through straightforward, blocking methods or through a "result" channel, which significantly decreases the complexity of that implicit contract. The calling code should never be aware of channel-writing implementation details! An example of this is the highly popular and highly encouraged "pipeline" pattern, which acts similarly to generators in python.

func IntGenerator(done <-chan interface{}, integers ...int) <-chan int {
    intStream := make(chan int)

    go func() {
        defer close(intStream)

        for _, i := range integers {
            select {
                case <-done:
                return
                case intStream <- i:
            }
        }
    }()

    return intStream
}

Start Enums at One

The standard way of introducing enumerations in Go is to declare a custom type and a const group with iota. Since variables have a 0 default value, you should usually start your enums on a non-zero value.

BadGood
type Operation int

const (
  Add Operation = iota
  Subtract
  Multiply
)

// Add=0, Subtract=1, Multiply=2
type Operation int

const (
  Add Operation = iota + 1
  Subtract
  Multiply
)

// Add=1, Subtract=2, Multiply=3

There are cases where using the zero value makes sense, for example when the zero value case is the desirable default behavior.

type LogOutput int

const (
  LogToStdout LogOutput = iota
  LogToFile
  LogToRemote
)

// LogToStdout=0, LogToFile=1, LogToRemote=2

Use "time" to handle time

Time is complicated. Incorrect assumptions often made about time include the following.

  1. A day has 24 hours
  2. An hour has 60 minutes
  3. A week has 7 days
  4. A year has 365 days
  5. And a lot more

For example, 1 means that adding 24 hours to a time instant will not always yield a new calendar day.

Therefore, always use the "time" package when dealing with time because it helps deal with these incorrect assumptions in a safer, more accurate manner.

Use time.Time for instants of time

Use time.Time when dealing with instants of time, and the methods on time.Time when comparing, adding, or subtracting time.

BadGood
func isActive(now, start, stop int) bool {
  return start <= now && now < stop
}
func isActive(now, start, stop time.Time) bool {
  return (start.Before(now) || start.Equal(now)) && now.Before(stop)
}

Use time.Duration for periods of time

Use time.Duration when dealing with periods of time and never rely on an "agreement" that some integer should be interpreted as seconds. This is especially important because time.Duration is actually just a wrapper around int64, with nanoseconds as base/unit values.

This means that if you see code similar to this, it is almost certainly not what the programmer meant, and this should never pass any PR:

time.Sleep(5)
BadGood
func poll(delay int) {
  for {
    // ...
    time.Sleep(time.Duration(delay) * time.Millisecond)
  }
}

poll(10) // was it seconds or milliseconds?
func poll(delay time.Duration) {
  for {
    // ...
    time.Sleep(delay)
  }
}

poll(10*time.Second)

Going back to the example of adding 24 hours to a time instant, the method we use to add time depends on intent. If we want the same time of the day, but on the next calendar day, we should use Time.AddDate. However, if we want an instant of time guaranteed to be 24 hours after the previous time, we should use Time.Add.

newDay := t.AddDate(0 /* years */, 0 /* months */, 1 /* days */)
maybeNewDay := t.Add(24 * time.Hour)

Use time.Time and time.Duration with external systems

Use time.Duration and time.Time in interactions with external systems when possible. For example:

When it is not possible to use time.Duration in these interactions, use int or float64 and include the unit in the name of the field.

For example, since encoding/json does not support time.Duration, the unit is included in the name of the field.

BadGood
// {"interval": 2}
type Config struct {
  Interval int `json:"interval"`
}
// {"intervalMillis": 2000}
type Config struct {
  IntervalMillis int `json:"intervalMillis"`
}

When it is not possible to use time.Time in these interactions, unless an alternative is agreed upon, use string and format timestamps as defined in RFC 3339. This format is used by default by Time.UnmarshalText and is available for use in Time.Format and time.Parse via time.RFC3339.

Although this tends to not be a problem in practice, keep in mind that the "time" package does not support parsing timestamps with leap seconds (8728), nor does it account for leap seconds in calculations (15190). If you compare two instants of time, the difference will not include the leap seconds that may have occurred between those two instants.

Errors

Error Types

There are few options for declaring errors. Consider the following before picking the option best suited for your use case.

  • Does the caller need to match the error so that they can handle it? If yes, we must support the errors.Is or errors.As functions by declaring a top-level error variable or a custom type.
  • Is the error message a static string, or is it a dynamic string that requires contextual information? For the former, we can use errors.New, but for the latter we must use fmt.Errorf or a custom error type.
  • Are we propagating a new error returned by a downstream function? If so, see the section on error wrapping.
Error matching? Error Message Guidance
No static errors.New
No dynamic fmt.Errorf
Yes static top-level var with errors.New
Yes dynamic custom error type

For example, use errors.New for an error with a static string. Export this error as a variable to support matching it with errors.Is if the caller needs to match and handle this error.

No error matchingError matching
// package foo

func Open() error {
  return errors.New("could not open")
}

// package bar

if err := foo.Open(); err != nil {
  // Can't handle the error.
  panic("unknown error")
}
// package foo

var ErrCouldNotOpen = errors.New("could not open")

func Open() error {
  return ErrCouldNotOpen
}

// package bar

if err := foo.Open(); err != nil {
  if errors.Is(err, foo.ErrCouldNotOpen) {
    // handle the error
  } else {
    panic("unknown error")
  }
}

For an error with a dynamic string, use fmt.Errorf if the caller does not need to match it, and a custom error if the caller does need to match it.

No error matchingError matching
// package foo

func Open(file string) error {
  return fmt.Errorf("file %q not found", file)
}

// package bar

if err := foo.Open("testfile.txt"); err != nil {
  // Can't handle the error.
  panic("unknown error")
}
// package foo

type NotFoundError struct {
  File string
}

func (e *NotFoundError) Error() string {
  return fmt.Sprintf("file %q not found", e.File)
}

func Open(file string) error {
  return &NotFoundError{File: file}
}


// package bar

if err := foo.Open("testfile.txt"); err != nil {
  var notFound *NotFoundError
  if errors.As(err, &notFound) {
    // handle the error
  } else {
    panic("unknown error")
  }
}

Note that if you export error variables or types from a package, they will become part of the public API of the package.

Error Wrapping

There are three main options for propagating errors if a call fails:

  • return the original error as-is
  • add context with fmt.Errorf and the %w verb
  • add context with fmt.Errorf and the %v verb

Return the original error as-is if there is no additional context to add. This maintains the original error type and message. This is well suited for cases when the underlying error message has sufficient information to track down where it came from.

Otherwise, add context to the error message where possible so that instead of a vague error such as "connection refused", you get more useful errors such as "call service foo: connection refused".

Use fmt.Errorf to add context to your errors, picking between the %w or %v verbs based on whether the caller should be able to match and extract the underlying cause.

  • Use %w if the caller should have access to the underlying error. This is a good default for most wrapped errors, but be aware that callers may begin to rely on this behavior. So for cases where the wrapped error is a known var or type, document and test it as part of your function's contract.
  • Use %v to obfuscate the underlying error. Callers will be unable to match it, but you can switch to %w in the future if needed.

When adding context to returned errors, keep the context succinct by avoiding phrases like "failed to", which state the obvious and pile up as the error percolates up through the stack:

BadGood
s, err := store.New()
if err != nil {
    return fmt.Errorf(
        "failed to create new store: %w", err)
}
s, err := store.New()
if err != nil {
    return fmt.Errorf(
        "new store: %w", err)
}
failed to x: failed to y: failed to create new store: the error
x: y: new store: the error

However once the error is sent to another system, it should be clear the message is an error (e.g. an err tag or "Failed" prefix in logs).

See also Don't just check errors, handle them gracefully.

Error Naming

For error values stored as global variables, use the prefix Err or err depending on whether they're exported. This guidance supersedes the Prefix Unexported Globals with _.

var (
  // The following two errors are exported
  // so that users of this package can match them
  // with errors.Is.

  ErrBrokenLink = errors.New("link is broken")
  ErrCouldNotOpen = errors.New("could not open")

  // This error is not exported because
  // we don't want to make it part of our public API.
  // We may still use it inside the package
  // with errors.Is.

  errNotFound = errors.New("not found")
)

For custom error types, use the suffix Error instead.

// Similarly, this error is exported
// so that users of this package can match it
// with errors.As.

type NotFoundError struct {
  File string
}

func (e *NotFoundError) Error() string {
  return fmt.Sprintf("file %q not found", e.File)
}

// And this error is not exported because
// we don't want to make it part of the public API.
// We can still use it inside the package
// with errors.As.

type resolveError struct {
  Path string
}

func (e *resolveError) Error() string {
  return fmt.Sprintf("resolve %q", e.Path)
}

Alternative to fmt.Errorf

A syntactically simpler, but otherwise equivalent package to fmt is github.com/pkg/errors, which offers helper methods so that you don't have to use formatted strings for error wrapping. This however, is a matter of taste, and either one is fine, but avoid mixing the two packages; if a codebase uses fmt.Errorf(oops: %w, err) then don't use errors.Wrap(err, "oops"), or vice-versa.

Handle Type Assertion Failures

The single return value form of a type assertion will panic on an incorrect type. Therefore, always use the "comma ok" idiom.

BadGood
t := i.(string)
t, ok := i.(string)
if !ok {
  // handle the error gracefully
}

Don't Panic

Code running in production must avoid panics. Panics are a major source of cascading failures. If an error occurs, the function must return an error and allow the caller to decide how to handle it.

BadGood
func run(args []string) {
  if len(args) == 0 {
    panic("an argument is required")
  }
  // ...
}

func main() {
  run(os.Args[1:])
}
func run(args []string) error {
  if len(args) == 0 {
    return errors.New("an argument is required")
  }
  // ...
  return nil
}

func main() {
  if err := run(os.Args[1:]); err != nil {
    fmt.Fprintln(os.Stderr, err)
    os.Exit(1)
  }
}

Panic/recover is not an error handling strategy. A program must panic only when something irrecoverable happens such as a nil dereference. An exception to this is program initialization: bad things at program startup that should abort the program may cause panic.

var _statusTemplate = template.Must(template.New("name").Parse("_statusHTML"))

Even in tests, prefer t.Fatal or t.FailNow over panics to ensure that the test is marked as failed.

BadGood
// func TestFoo(t *testing.T)

f, err := ioutil.TempFile("", "test")
if err != nil {
  panic("failed to set up test")
}
// func TestFoo(t *testing.T)

f, err := ioutil.TempFile("", "test")
if err != nil {
  t.Fatal("failed to set up test")
}

Avoid Mutable Globals

Avoid mutating global variables, instead opting for dependency injection. This applies to function pointers as well as other kinds of values.

BadGood
// sign.go

var _timeNow = time.Now

func sign(msg string) string {
  now := _timeNow()
  return signWithTime(msg, now)
}
// sign.go

type signer struct {
  now func() time.Time
}

func newSigner() *signer {
  return &signer{
    now: time.Now,
  }
}

func (s *signer) Sign(msg string) string {
  now := s.now()
  return signWithTime(msg, now)
}
// sign_test.go

func TestSign(t *testing.T) {
  oldTimeNow := _timeNow
  _timeNow = func() time.Time {
    return someFixedTime
  }
  defer func() { _timeNow = oldTimeNow }()

  assert.Equal(t, want, sign(give))
}
// sign_test.go

func TestSigner(t *testing.T) {
  s := newSigner()
  s.now = func() time.Time {
    return someFixedTime
  }

  assert.Equal(t, want, s.Sign(give))
}

Avoid Embedding Types in Public Structs

These embedded types leak implementation details, inhibit type evolution, and obscure documentation.

Assuming you have implemented a variety of list types using a shared AbstractList, avoid embedding the AbstractList in your concrete list implementations. Instead, hand-write only the methods to your concrete list that will delegate to the abstract list.

type AbstractList struct {}

// Add adds an entity to the list.
func (l *AbstractList) Add(e Entity) {
  // ...
}

// Remove removes an entity from the list.
func (l *AbstractList) Remove(e Entity) {
  // ...
}
BadGood
// ConcreteList is a list of entities.
type ConcreteList struct {
  *AbstractList
}
// ConcreteList is a list of entities.
type ConcreteList struct {
  list *AbstractList
}

// Add adds an entity to the list.
func (l *ConcreteList) Add(e Entity) {
  l.list.Add(e)
}

// Remove removes an entity from the list.
func (l *ConcreteList) Remove(e Entity) {
  l.list.Remove(e)
}

Go allows type embedding as a compromise between inheritance and composition. The outer type gets implicit copies of the embedded type's methods. These methods, by default, delegate to the same method of the embedded instance.

The struct also gains a field by the same name as the type. So, if the embedded type is public, the field is public. To maintain backward compatibility, every future version of the outer type must keep the embedded type.

An embedded type is rarely necessary. It is a convenience that helps you avoid writing tedious delegate methods.

Even embedding a compatible AbstractList interface, instead of the struct, would offer the developer more flexibility to change in the future, but still leak the detail that the concrete lists use an abstract implementation.

BadGood
// AbstractList is a generalized implementation
// for various kinds of lists of entities.
type AbstractList interface {
  Add(Entity)
  Remove(Entity)
}

// ConcreteList is a list of entities.
type ConcreteList struct {
  AbstractList
}
// ConcreteList is a list of entities.
type ConcreteList struct {
  list AbstractList
}

// Add adds an entity to the list.
func (l *ConcreteList) Add(e Entity) {
  l.list.Add(e)
}

// Remove removes an entity from the list.
func (l *ConcreteList) Remove(e Entity) {
  l.list.Remove(e)
}

Either with an embedded struct or an embedded interface, the embedded type places limits on the evolution of the type.

  • Adding methods to an embedded interface is a breaking change.
  • Removing methods from an embedded struct is a breaking change.
  • Removing the embedded type is a breaking change.
  • Replacing the embedded type, even with an alternative that satisfies the same interface, is a breaking change.

Although writing these delegate methods is tedious, the additional effort hides an implementation detail, leaves more opportunities for change, and also eliminates indirection for discovering the full List interface in documentation.

Avoid Using Built-In Names

The Go language specification outlines several built-in, predeclared identifiers that should not be used as names within Go programs.

Depending on context, reusing these identifiers as names will either shadow the original within the current lexical scope (and any nested scopes) or make affected code confusing. In the best case, the compiler will complain; in the worst case, such code may introduce latent, hard-to-grep bugs.

BadGood
var error string
// `error` shadows the builtin

// or

func handleErrorMessage(error string) {
    // `error` shadows the builtin
}
var errorMessage string
// `error` refers to the builtin

// or

func handleErrorMessage(msg string) {
    // `error` refers to the builtin
}
type Foo struct {
    // While these fields technically don't
    // constitute shadowing, grepping for
    // `error` or `string` strings is now
    // ambiguous.
    error  error
    string string
}

func (f Foo) Error() error {
    // `error` and `f.error` are
    // visually similar
    return f.error
}

func (f Foo) String() string {
    // `string` and `f.string` are
    // visually similar
    return f.string
}
type Foo struct {
    // `error` and `string` strings are
    // now unambiguous.
    err error
    str string
}

func (f Foo) Error() error {
    return f.err
}

func (f Foo) String() string {
    return f.str
}

Note that the compiler will not generate errors when using predeclared identifiers, but tools such as go vet should correctly point out these and other cases of shadowing.

Avoid init()

Avoid init() where possible. When init() is unavoidable or desirable, code should attempt to:

  1. Be completely deterministic, regardless of program environment or invocation.
  2. Avoid depending on the ordering or side-effects of other init() functions. While init() ordering is well-known, code can change, and thus relationships between init() functions can make code brittle and error-prone.
  3. Avoid accessing or manipulating global or environment state, such as machine information, environment variables, working directory, program arguments/inputs, etc.
  4. Avoid I/O, including both filesystem, network, and system calls.

Code that cannot satisfy these requirements likely belongs as a helper to be called as part of main() (or elsewhere in a program's lifecycle), or be written as part of main() itself. In particular, libraries that are intended to be used by other programs should take special care to be completely deterministic and not perform "init magic".

BadGood
type Foo struct {
    // ...
}

var _defaultFoo Foo

func init() {
    _defaultFoo = Foo{
        // ...
    }
}
var _defaultFoo = Foo{
    // ...
}

// or, better, for testability:

var _defaultFoo = defaultFoo()

func defaultFoo() Foo {
    return Foo{
        // ...
    }
}
type Config struct {
    // ...
}

var _config Config

func init() {
    // Bad: based on current directory
    cwd, _ := os.Getwd()

    // Bad: I/O
    raw, _ := ioutil.ReadFile(
        path.Join(cwd, "config", "config.yaml"),
    )

    yaml.Unmarshal(raw, &_config)
}
type Config struct {
    // ...
}

func loadConfig() Config {
    cwd, err := os.Getwd()
    // handle err

    raw, err := ioutil.ReadFile(
        path.Join(cwd, "config", "config.yaml"),
    )
    // handle err

    var config Config
    yaml.Unmarshal(raw, &config)

    return config
}

Considering the above, some situations in which init() may be preferable or necessary might include:

  • Complex expressions that cannot be represented as single assignments.
  • Pluggable hooks, such as database/sql dialects, encoding type registries, etc.
  • Optimizations to Google Cloud Functions and other forms of deterministic precomputation.

Exit in Main

Go programs use os.Exit or log.Fatal* to exit immediately. (Panicking is not a good way to exit programs, please don't panic.)

Call one of os.Exit or log.Fatal* only in main(). All other functions should return errors to signal failure. Never, ever use os.Exit or log.Fatal* as a way to handle errors. This should never pass code reviews or used as a "temporary" way to handle errors; errors are a natural occurrence, they are not bugs and will always happen. Imagine what would happen, for example, if an HTTP request handling function handles errors through os.Exit or log.Fatal*; you effectively enabled DOS attacks.

BadGood
func main() {
  body := readFile(path)
  fmt.Println(body)
}

func readFile(path string) string {
  f, err := os.Open(path)
  if err != nil {
    log.Fatal(err)
  }

  b, err := ioutil.ReadAll(f)
  if err != nil {
    log.Fatal(err)
  }

  return string(b)
}
func main() {
  body, err := readFile(path)
  if err != nil {
    log.Fatal(err)
  }
  fmt.Println(body)
}

func readFile(path string) (string, error) {
  f, err := os.Open(path)
  if err != nil {
    return "", err
  }

  b, err := ioutil.ReadAll(f)
  if err != nil {
    return "", err
  }

  return string(b), nil
}

Rationale: Programs with multiple functions that exit present a few issues:

  • Non-obvious control flow: Any function can exit the program so it becomes difficult to reason about the control flow.
  • Difficult to test: A function that exits the program will also exit the test calling it. This makes the function difficult to test and introduces risk of skipping other tests that have not yet been run by go test.
  • Skipped cleanup: When a function exits the program, it skips function calls enqueued with defer statements. This adds risk of skipping important cleanup tasks.

Exit Once

If possible, prefer to call os.Exit or log.Fatal at most once in your main(). If there are multiple error scenarios that halt program execution, put that logic under a separate function and return errors from it.

This has the effect of shortening your main() function and putting all key business logic into a separate, testable function.

BadGood
package main

func main() {
  args := os.Args[1:]
  if len(args) != 1 {
    log.Fatal("missing file")
  }
  name := args[0]

  f, err := os.Open(name)
  if err != nil {
    log.Fatal(err)
  }
  defer f.Close()

  // If we call log.Fatal after this line,
  // f.Close will not be called.

  b, err := ioutil.ReadAll(f)
  if err != nil {
    log.Fatal(err)
  }

  // ...
}
package main

func main() {
  if err := run(); err != nil {
    log.Fatal(err)
  }
}

func run() error {
  args := os.Args[1:]
  if len(args) != 1 {
    return errors.New("missing file")
  }
  name := args[0]

  f, err := os.Open(name)
  if err != nil {
    return err
  }
  defer f.Close()

  b, err := ioutil.ReadAll(f)
  if err != nil {
    return err
  }

  // ...
}

Performance

Performance-specific guidelines apply only to the hot path.

Prefer strconv over fmt

When converting primitives to/from strings, strconv is faster than fmt.

BadGood
for i := 0; i < b.N; i++ {
  s := fmt.Sprint(rand.Int())
}
for i := 0; i < b.N; i++ {
  s := strconv.Itoa(rand.Int())
}
BenchmarkFmtSprint-4    143 ns/op    2 allocs/op
BenchmarkStrconv-4    64.2 ns/op    1 allocs/op

Avoid string-to-byte conversion

Do not create byte slices from a fixed string repeatedly. Instead, perform the conversion once and capture the result.

BadGood
for i := 0; i < b.N; i++ {
  w.Write([]byte("Hello world"))
}
data := []byte("Hello world")
for i := 0; i < b.N; i++ {
  w.Write(data)
}
BenchmarkBad-4   50000000   22.2 ns/op
BenchmarkGood-4  500000000   3.25 ns/op

Prefer Specifying Container Capacity

Specify container capacity where possible in order to allocate memory for the container up front. This minimizes subsequent allocations (by copying and resizing of the container) as elements are added.

Specifying Map Capacity Hints

Where possible, provide capacity hints when initializing maps with make().

make(map[T1]T2, hint)

Providing a capacity hint to make() tries to right-size the map at initialization time, which reduces the need for growing the map and allocations as elements are added to the map.

Note that, unlike slices, map capacity hints do not guarantee complete, preemptive allocation, but are used to approximate the number of hashmap buckets required. Consequently, allocations may still occur when adding elements to the map, even up to the specified capacity.

BadGood
m := make(map[string]os.FileInfo)

files, _ := ioutil.ReadDir("./files")
for _, f := range files {
    m[f.Name()] = f
}
files, _ := ioutil.ReadDir("./files")

m := make(map[string]os.FileInfo, len(files))
for _, f := range files {
    m[f.Name()] = f
}

m is created without a size hint; there may be more allocations at assignment time.

m is created with a size hint; there may be fewer allocations at assignment time.

Specifying Slice Capacity

Where possible, provide capacity hints when initializing slices with make(), particularly when appending.

make([]T, length, capacity)

Unlike maps, slice capacity is not a hint: the compiler will allocate enough memory for the capacity of the slice as provided to make(), which means that subsequent append() operations will incur zero allocations (until the length of the slice matches the capacity, after which any appends will require a resize to hold additional elements).

BadGood
for n := 0; n < b.N; n++ {
  data := make([]int, 0)
  for k := 0; k < size; k++{
    data = append(data, k)
  }
}
for n := 0; n < b.N; n++ {
  data := make([]int, 0, size)
  for k := 0; k < size; k++{
    data = append(data, k)
  }
}
BenchmarkBad-4    100000000    2.48s
BenchmarkGood-4   100000000    0.21s

Style

Avoid overly long lines

Avoid lines of code that require readers to scroll horizontally or turn their heads too much.

We recommend a soft line length limit of 99 characters. Authors should aim to wrap lines before hitting this limit, but it is not a hard limit. Code is allowed to exceed this limit.

Be Consistent

Some of the guidelines outlined in this document can be evaluated objectively; others are situational, contextual, or subjective.

Above all else, be consistent.

Consistent code is easier to maintain, is easier to rationalize, requires less cognitive overhead, and is easier to migrate or update as new conventions emerge or classes of bugs are fixed.

Conversely, having multiple disparate or conflicting styles within a single codebase causes maintenance overhead, uncertainty, and cognitive dissonance, all of which can directly contribute to lower velocity, painful code reviews, and bugs.

When applying these guidelines to a codebase, it is recommended that changes are made at a package (or larger) level: application at a sub-package level violates the above concern by introducing multiple styles into the same code.

Avoid side-effects

Don't:

func init() {
    someStruct.Load()
}

Side effects are only okay in special cases (e.g. parsing flags in a cmd). If you find no other way, rethink and refactor.

Favour pure functions

In computer programming, a function may be considered a pure function if both of the following statements about the function hold:

  1. The function always evaluates the same result value given the same argument value(s). The function result value cannot depend on any hidden information or state that may change while program execution proceeds or between different executions of the program, nor can it depend on any external input from I/O devices.
  2. Evaluation of the result does not cause any semantically observable side effect or output, such as mutation of mutable objects or output to I/O devices.

Wikipedia

BadGood
func MarshalAndWrite(some *Thing) error {
    b, err := json.Marshal(some)
    if err != nil {
        return err
    }

    return ioutil.WriteFile("some.thing", b, 0644)
}
// Marshal is a pure func (even though useless)
func Marshal(some *Thing) ([]bytes, error) {
    return json.Marshal(some)
}

// ...

This is obviously not possible at all times, but trying to make every possible func pure makes code more understandable and improves debugging.

Don't over-interface

BadGood
type Server interface {
    Serve() error
    Some() int
    Fields() float64
    That() string
    Are([]byte) error
    Not() []string
    Necessary() error
}

func debug(srv Server) {
    fmt.Println(srv.String())
}

func run(srv Server) {
    srv.Serve()
}
type Server interface {
    Serve() error
}

func debug(v fmt.Stringer) {
    fmt.Println(v.String())
}

func run(srv Server) {
    srv.Serve()
}

Favour small interfaces and only expect the interfaces you need in your functions.

Don't under-package

Deleting or merging packages is far easier than splitting big ones up. When unsure if a package can be split, do it.

Keep the happy path left

BadGood
if item, ok := someMap[someKey]; ok {
    return item
}
return ErrKeyNotFound
item, ok := someMap[someKey]
if !ok {
    return ErrKeyNotFound
}
return item

This helps to keep your code clear and readable. Not doing it accumulates in larger functions and leads to the happy path being buried in a lot of if/for/... statements.

Group Similar Declarations

Go supports grouping similar declarations.

BadGood
import "a"
import "b"
import (
  "a"
  "b"
)

This also applies to constants, variables, and type declarations.

BadGood
const a = 1
const b = 2



var a = 1
var b = 2



type Area float64
type Volume float64
const (
  a = 1
  b = 2
)

var (
  a = 1
  b = 2
)

type (
  Area float64
  Volume float64
)

Only group related declarations. Do not group declarations that are unrelated.

BadGood
type Operation int

const (
  Add Operation = iota + 1
  Subtract
  Multiply
  EnvVar = "MY_ENV"
)
type Operation int

const (
  Add Operation = iota + 1
  Subtract
  Multiply
)

const EnvVar = "MY_ENV"

Groups are not limited in where they can be used. For example, you can use them inside of functions.

BadGood
func f() string {
  red := color.New(0xff0000)
  green := color.New(0x00ff00)
  blue := color.New(0x0000ff)

  // ...
}
func f() string {
  var (
    red   = color.New(0xff0000)
    green = color.New(0x00ff00)
    blue  = color.New(0x0000ff)
  )

  // ...
}

Exception: Variable declarations, particularly inside functions, should be grouped together if declared adjacent to other variables. Do this for variables declared together even if they are unrelated.

BadGood
func (c *client) request() {
  caller := c.name
  format := "json"
  timeout := 5*time.Second
  var err error

  // ...
}
func (c *client) request() {
  var (
    caller  = c.name
    format  = "json"
    timeout = 5*time.Second
    err error
  )
  
  // ...
}

Import Group Ordering

There should be two import groups:

  • Standard library
  • Everything else

This is the grouping applied by goimports by default.

BadGood
import (
  "fmt"
  "os"
  "go.uber.org/atomic"
  "golang.org/x/sync/errgroup"
)
import (
  "fmt"
  "os"

  "go.uber.org/atomic"
  "golang.org/x/sync/errgroup"
)

Package Names

When naming packages, choose a name that is:

  • All lower-case. No capitals or underscores.
  • Does not need to be renamed using named imports at most call sites.
  • Short and succinct. Remember that the name is identified in full at every call site.
  • Not plural. For example, net/url, not net/urls.
  • Not "common", "util", "shared", or "lib". These are bad, uninformative names.

See also Package Names and Style guideline for Go packages.

Function Names

We follow the Go community's convention of using MixedCaps for function names. An exception is made for test functions, which may contain underscores for the purpose of grouping related test cases, e.g., TestMyFunction_WhatIsBeingTested.

Import Aliasing

Import aliasing must be used if the package name does not match the last element of the import path.

import (
  "net/http"

  client "example.com/client-go"
  trace "example.com/trace/v2"
)

In all other scenarios, import aliases should be avoided unless there is a direct conflict between imports.

BadGood
import (
  "fmt"
  "os"


  nettrace "golang.net/x/trace"
)
import (
  "fmt"
  "os"
  "runtime/trace"

  nettrace "golang.net/x/trace"
)

Function Grouping and Ordering

  • Functions should be sorted in rough call order.
  • Functions in a file should be grouped by receiver.

Therefore, exported functions should appear first in a file, after struct, const, var definitions.

A newXYZ()/NewXYZ() may appear after the type is defined, but before the rest of the methods on the receiver.

Since functions are grouped by receiver, plain utility functions should appear towards the end of the file.

BadGood
func (s *something) Cost() {
  return calcCost(s.weights)
}

type something struct{ ... }

func calcCost(n []int) int {...}

func (s *something) Stop() {...}

func newSomething() *something {
    return &something{}
}
type something struct{ ... }

func newSomething() *something {
    return &something{}
}

func (s *something) Cost() {
  return calcCost(s.weights)
}

func (s *something) Stop() {...}

func calcCost(n []int) int {...}

Reduce Nesting

Code should reduce nesting where possible by handling error cases/special conditions first and returning early or continuing the loop. Reduce the amount of code that is nested multiple levels.

BadGood
for _, v := range data {
  if v.F1 == 1 {
    v = process(v)
    if err := v.Call(); err == nil {
      v.Send()
    } else {
      return err
    }
  } else {
    log.Printf("Invalid v: %v", v)
  }
}
for _, v := range data {
  if v.F1 != 1 {
    log.Printf("Invalid v: %v", v)
    continue
  }

  v = process(v)
  if err := v.Call(); err != nil {
    return err
  }
  v.Send()
}

Unnecessary Else

If a variable is set in both branches of an if, it can be replaced with a single if.

BadGood
var a int
if b {
  a = 100
} else {
  a = 10
}
a := 10
if b {
  a = 100
}

Top-level Variable Declarations

At the top level, use the standard var keyword. Do not specify the type, unless it is not the same type as the expression.

BadGood
var _s string = F()

func F() string { return "A" }
var _s = F()
// Since F already states that it returns a string, we don't need to specify
// the type again.

func F() string { return "A" }

Specify the type if the type of the expression does not match the desired type exactly.

type myError struct{}

func (myError) Error() string { return "error" }

func F() myError { return myError{} }

var _e error = F()
// F returns an object of type myError but we want error.

Embedding in Structs

Embedded types should be at the top of the field list of a struct, and there must be an empty line separating embedded fields from regular fields.

BadGood
type Client struct {
  version int
  http.Client
}
type Client struct {
  http.Client

  version int
}

Embedding should provide tangible benefit, like adding or augmenting functionality in a semantically-appropriate way. It should do this with zero adverse user-facing effects (see also: Avoid Embedding Types in Public Structs).

Exception: Mutexes should not be embedded, even on unexported types. See also: Zero-value Mutexes are Valid.

Embedding should not:

  • Be purely cosmetic or convenience-oriented.
  • Make outer types more difficult to construct or use.
  • Affect outer types' zero values. If the outer type has a useful zero value, it should still have a useful zero value after embedding the inner type.
  • Expose unrelated functions or fields from the outer type as a side-effect of embedding the inner type.
  • Expose unexported types.
  • Affect outer types' copy semantics.
  • Change the outer type's API or type semantics.
  • Embed a non-canonical form of the inner type.
  • Expose implementation details of the outer type.
  • Allow users to observe or control type internals.
  • Change the general behavior of inner functions through wrapping in a way that would reasonably surprise users.

Simply put, embed consciously and intentionally. A good litmus test is, "would all of these exported inner methods/fields be added directly to the outer type"; if the answer is "some" or "no", don't embed the inner type - use a field instead.

BadGood
type A struct {
    // Bad: A.Lock() and A.Unlock() are
    //      now available, provide no
    //      functional benefit, and allow
    //      users to control details about
    //      the internals of A.
    sync.Mutex
}
type countingWriteCloser struct {
    // Good: Write() is provided at this
    //       outer layer for a specific
    //       purpose, and delegates work
    //       to the inner type's Write().
    io.WriteCloser

    count int
}

func (w *countingWriteCloser) Write(bs []byte) (int, error) {
    w.count += len(bs)
    return w.WriteCloser.Write(bs)
}
type Book struct {
    // Bad: pointer changes zero value usefulness
    io.ReadWriter

    // other fields
}

// later

var b Book
b.Read(...)  // panic: nil pointer
b.String()   // panic: nil pointer
b.Write(...) // panic: nil pointer
type Book struct {
    // Good: has useful zero value
    bytes.Buffer

    // other fields
}

// later

var b Book
b.Read(...)  // ok
b.String()   // ok
b.Write(...) // ok
type Client struct {
    sync.Mutex
    sync.WaitGroup
    bytes.Buffer
    url.URL
}
type Client struct {
    mtx sync.Mutex
    wg  sync.WaitGroup
    buf bytes.Buffer
    url url.URL
}

Local Variable Declarations

Short variable declarations (:=) should be used if a variable is being set to some value explicitly.

BadGood
var s = "foo"
s := "foo"

However, there are cases where the default value is clearer when the var keyword is used. Declaring Empty Slices, for example.

BadGood
func f(list []int) {
  filtered := []int{}
  for _, v := range list {
    if v > 10 {
      filtered = append(filtered, v)
    }
  }
}
func f(list []int) {
  var filtered []int
  for _, v := range list {
    if v > 10 {
      filtered = append(filtered, v)
    }
  }
}

nil is a valid slice

nil is a valid slice of length 0. This means that,

  • You should not return a slice of length zero explicitly. Return nil instead.

    BadGood
    if x == "" {
      return []int{}
    }
    if x == "" {
      return nil
    }
  • To check if a slice is empty, always use len(s) == 0. Do not check for nil.

    BadGood
    func isEmpty(s []string) bool {
      return s == nil
    }
    func isEmpty(s []string) bool {
      return len(s) == 0
    }
    • The zero value (a slice declared with var) is usable immediately without make().

      BadGood
      nums := []int{}
      // or, nums := make([]int)
      
      if add1 {
        nums = append(nums, 1)
      }
      
      if add2 {
        nums = append(nums, 2)
      }
      var nums []int
      
      if add1 {
        nums = append(nums, 1)
      }
      
      if add2 {
        nums = append(nums, 2)
      }

Remember that, while it is a valid slice, a nil slice is not equivalent to an allocated slice of length 0 - one is nil and the other is not - and the two may be treated differently in different situations (such as serialization).

Reduce Scope of Variables

Where possible, reduce scope of variables. Do not reduce the scope if it conflicts with Reduce Nesting.

BadGood
err := ioutil.WriteFile(name, data, 0644)
if err != nil {
    return err
}
if err := ioutil.WriteFile(name, data, 0644); err != nil {
    return err
}

If you need a result of a function call outside of the if, then you should not try to reduce the scope.

BadGood
if data, err := ioutil.ReadFile(name); err == nil {
    err = cfg.Decode(data)
    if err != nil {
        return err
    }
    
    fmt.Println(cfg)
    return nil
} else {
    return err
}
data, err := ioutil.ReadFile(name)
if err != nil {
    return err
}

if err := cfg.Decode(data); err != nil {
    return err
}

fmt.Println(cfg)
return nil

Avoid Naked Parameters

Naked parameters in function calls can hurt readability. A valid alternative to naked parameters is to replace naked bool types with custom types for more readable and type-safe code. This allows more than just two states (true/false) for that parameter in the future.

type Region int

const (
  UnknownRegion Region = iota
  Local
)

type Status int

const (
  StatusReady Status = iota + 1
  StatusDone
  // Maybe we will have a StatusInProgress in the future.
)

func printInfo(name string, region Region, status Status)

Use Raw String Literals to Avoid Escaping

Go supports raw string literals, which can span multiple lines and include quotes. Use these to avoid hand-escaped strings which are much harder to read.

BadGood
wantError := "unknown name:\"test\""
wantError := `unknown error:"test"`

Initializing Structs

Use Field Names to Initialize Structs

You should almost always specify field names when initializing structs. This is now enforced by go vet.

BadGood
k := User{"John", "Doe", true}
k := User{
    FirstName: "John",
    LastName: "Doe",
    Admin: true,
}

Exception: Field names may be omitted in test tables when there are 3 or fewer fields.

tests := []struct{
  op Operation
  want string
}{
  {Add, "add"},
  {Subtract, "subtract"},
}

Omit Zero Value Fields in Structs

When initializing structs with field names, omit fields that have zero values unless they provide meaningful context. Otherwise, let Go set these to zero values automatically.

BadGood
user := User{
  FirstName: "John",
  LastName: "Doe",
  MiddleName: "",
  Admin: false,
}
user := User{
  FirstName: "John",
  LastName: "Doe",
}

This helps reduce noise for readers by omitting values that are default in that context. Only meaningful values are specified.

Include zero values where field names provide meaningful context. For example, test cases in Test Tables can benefit from names of fields even when they are zero-valued.

tests := []struct{
  give string
  want int
}{
  {give: "0", want: 0},
  // ...
}

Use var for Zero Value Structs

When all the fields of a struct are omitted in a declaration, use the var form to declare the struct.

BadGood
user := User{}
var user User

This differentiates zero valued structs from those with non-zero fields similar to the distinction created for map initialization, and matches how we prefer to declare empty slices.

Initializing Struct References

Use &T{} instead of new(T) when initializing struct references so that it is consistent with the struct initialization.

BadGood
sval := T{Name: "foo"}

// inconsistent
sptr := new(T)
sptr.Name = "bar"
sval := T{Name: "foo"}

sptr := &T{Name: "bar"}

Initializing Maps

Prefer make(..) for empty maps, and maps populated programmatically. This makes map initialization visually distinct from declaration, and it makes it easy to add size hints later if available.

BadGood
var (
  // m1 is safe to read and write;
  // m2 will panic on writes.
  m1 = map[T1]T2{}
  m2 map[T1]T2
)
var (
  // m1 is safe to read and write;
  // m2 will panic on writes.
  m1 = make(map[T1]T2)
  m2 map[T1]T2
)

Declaration and initialization are visually similar.

Declaration and initialization are visually distinct.

Where possible, provide capacity hints when initializing maps with make(). See Specifying Map Capacity Hints for more information.

On the other hand, if the map holds a fixed list of elements, use map literals to initialize the map.

BadGood
m := make(map[T1]T2, 3)
m[k1] = v1
m[k2] = v2
m[k3] = v3
m := map[T1]T2{
  k1: v1,
  k2: v2,
  k3: v3,
}

The basic rule of thumb is to use map literals when adding a fixed set of elements at initialization time, otherwise use make (and specify a size hint if available).

Patterns

Test Tables

Use table-driven tests with subtests to avoid duplicating code when the core test logic is repetitive.

BadGood
// func TestSplitHostPort(t *testing.T)

host, port, err := net.SplitHostPort("192.0.2.0:8000")
require.NoError(t, err)
assert.Equal(t, "192.0.2.0", host)
assert.Equal(t, "8000", port)

host, port, err = net.SplitHostPort("192.0.2.0:http")
require.NoError(t, err)
assert.Equal(t, "192.0.2.0", host)
assert.Equal(t, "http", port)

host, port, err = net.SplitHostPort(":8000")
require.NoError(t, err)
assert.Equal(t, "", host)
assert.Equal(t, "8000", port)

host, port, err = net.SplitHostPort("1:8")
require.NoError(t, err)
assert.Equal(t, "1", host)
assert.Equal(t, "8", port)
// func TestSplitHostPort(t *testing.T)

tests := []struct{
  give     string
  wantHost string
  wantPort string
}{
  {
    give:     "192.0.2.0:8000",
    wantHost: "192.0.2.0",
    wantPort: "8000",
  },
  {
    give:     "192.0.2.0:http",
    wantHost: "192.0.2.0",
    wantPort: "http",
  },
  {
    give:     ":8000",
    wantHost: "",
    wantPort: "8000",
  },
  {
    give:     "1:8",
    wantHost: "1",
    wantPort: "8",
  },
}

for _, tt := range tests {
  t.Run(tt.give, func(t *testing.T) {
    host, port, err := net.SplitHostPort(tt.give)
    require.NoError(t, err)
    assert.Equal(t, tt.wantHost, host)
    assert.Equal(t, tt.wantPort, port)
  })
}

Test tables make it easier to add context to error messages, reduce duplicate logic, and add new test cases.

We follow the convention that the slice of structs is referred to as tests and each test case tt. Further, we encourage explicating the input and output values for each test case with give and want prefixes.

tests := []struct{
  give     string
  wantHost string
  wantPort string
}{
  // ...
}

for _, tt := range tests {
  // ...
}

Functional Options

Functional options is a pattern in which you declare an opaque Option type that records information in some internal struct. You accept a variadic number of these options and act upon the full information recorded by the options on the internal struct.

Use this pattern for optional arguments in constructors and other public APIs that you foresee needing to expand, especially if you already have three or more arguments on those functions.

BadGood
// package db

func Open(
  addr string,
  cache bool,
  logger *zap.Logger
) (*Connection, error) {
  // ...
}
// package db

type Option func(*Settings) {
  // ...
}

func WithCache(c bool) Option {
  // ...
}

func WithLogger(log *zap.Logger) Option {
  // ...
}

// Open creates a connection.
func Open(
  addr string,
  opts ...Option,
) (*Connection, error) {
  // ...
}

The cache and logger parameters must always be provided, even if the user wants to use the default.

db.Open(addr, db.DefaultCache, zap.NewNop())
db.Open(addr, db.DefaultCache, log)
db.Open(addr, false /* cache */, zap.NewNop())
db.Open(addr, false /* cache */, log)

Options are provided only if needed.

db.Open(addr)
db.Open(addr, db.WithLogger(log))
db.Open(addr, db.WithCache(false))
db.Open(
  addr,
  db.WithCache(false),
  db.WithLogger(log),
)

See also:

Linting

More importantly than any "blessed" set of linters, lint consistently across a codebase.

We recommend using the following linters at a minimum, because we feel that they help to catch the most common issues and also establish a high bar for code quality without being unnecessarily prescriptive:

  • errcheck to ensure that errors are handled
  • goimports to format code and manage imports
  • golint to point out common style mistakes
  • govet to analyze code for common mistakes
  • staticcheck to do various static analysis checks

Lint Runners

We recommend golangci-lint as the go-to lint runner for Go code, largely due to its performance in larger codebases and ability to configure and use many canonical linters at once. This repo has an example .golangci.yaml config file with recommended linters and settings.

golangci-lint has various linters available for use. The above linters are recommended as a base set, and we encourage teams to add any additional linters that make sense for their projects.