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authorLibravatar Dominik Süß <dominik@suess.wtf>2023-05-09 19:19:48 +0200
committerLibravatar GitHub <noreply@github.com>2023-05-09 18:19:48 +0100
commit6392e00653d3b81062ef60d8ae2fa2621873533f (patch)
tree761d0ff445c2c6a85020cecdc58f92ae1cf78513 /vendor/github.com/go-logr/logr/README.md
parent[bugfix] Don't try to get user when serializing local instance account (#1757) (diff)
downloadgotosocial-6392e00653d3b81062ef60d8ae2fa2621873533f.tar.xz
feat: initial tracing support (#1623)
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+# A minimal logging API for Go
+
+[![Go Reference](https://pkg.go.dev/badge/github.com/go-logr/logr.svg)](https://pkg.go.dev/github.com/go-logr/logr)
+
+logr offers an(other) opinion on how Go programs and libraries can do logging
+without becoming coupled to a particular logging implementation. This is not
+an implementation of logging - it is an API. In fact it is two APIs with two
+different sets of users.
+
+The `Logger` type is intended for application and library authors. It provides
+a relatively small API which can be used everywhere you want to emit logs. It
+defers the actual act of writing logs (to files, to stdout, or whatever) to the
+`LogSink` interface.
+
+The `LogSink` interface is intended for logging library implementers. It is a
+pure interface which can be implemented by logging frameworks to provide the actual logging
+functionality.
+
+This decoupling allows application and library developers to write code in
+terms of `logr.Logger` (which has very low dependency fan-out) while the
+implementation of logging is managed "up stack" (e.g. in or near `main()`.)
+Application developers can then switch out implementations as necessary.
+
+Many people assert that libraries should not be logging, and as such efforts
+like this are pointless. Those people are welcome to convince the authors of
+the tens-of-thousands of libraries that *DO* write logs that they are all
+wrong. In the meantime, logr takes a more practical approach.
+
+## Typical usage
+
+Somewhere, early in an application's life, it will make a decision about which
+logging library (implementation) it actually wants to use. Something like:
+
+```
+ func main() {
+ // ... other setup code ...
+
+ // Create the "root" logger. We have chosen the "logimpl" implementation,
+ // which takes some initial parameters and returns a logr.Logger.
+ logger := logimpl.New(param1, param2)
+
+ // ... other setup code ...
+```
+
+Most apps will call into other libraries, create structures to govern the flow,
+etc. The `logr.Logger` object can be passed to these other libraries, stored
+in structs, or even used as a package-global variable, if needed. For example:
+
+```
+ app := createTheAppObject(logger)
+ app.Run()
+```
+
+Outside of this early setup, no other packages need to know about the choice of
+implementation. They write logs in terms of the `logr.Logger` that they
+received:
+
+```
+ type appObject struct {
+ // ... other fields ...
+ logger logr.Logger
+ // ... other fields ...
+ }
+
+ func (app *appObject) Run() {
+ app.logger.Info("starting up", "timestamp", time.Now())
+
+ // ... app code ...
+```
+
+## Background
+
+If the Go standard library had defined an interface for logging, this project
+probably would not be needed. Alas, here we are.
+
+### Inspiration
+
+Before you consider this package, please read [this blog post by the
+inimitable Dave Cheney][warning-makes-no-sense]. We really appreciate what
+he has to say, and it largely aligns with our own experiences.
+
+### Differences from Dave's ideas
+
+The main differences are:
+
+1. Dave basically proposes doing away with the notion of a logging API in favor
+of `fmt.Printf()`. We disagree, especially when you consider things like output
+locations, timestamps, file and line decorations, and structured logging. This
+package restricts the logging API to just 2 types of logs: info and error.
+
+Info logs are things you want to tell the user which are not errors. Error
+logs are, well, errors. If your code receives an `error` from a subordinate
+function call and is logging that `error` *and not returning it*, use error
+logs.
+
+2. Verbosity-levels on info logs. This gives developers a chance to indicate
+arbitrary grades of importance for info logs, without assigning names with
+semantic meaning such as "warning", "trace", and "debug." Superficially this
+may feel very similar, but the primary difference is the lack of semantics.
+Because verbosity is a numerical value, it's safe to assume that an app running
+with higher verbosity means more (and less important) logs will be generated.
+
+## Implementations (non-exhaustive)
+
+There are implementations for the following logging libraries:
+
+- **a function** (can bridge to non-structured libraries): [funcr](https://github.com/go-logr/logr/tree/master/funcr)
+- **a testing.T** (for use in Go tests, with JSON-like output): [testr](https://github.com/go-logr/logr/tree/master/testr)
+- **github.com/google/glog**: [glogr](https://github.com/go-logr/glogr)
+- **k8s.io/klog** (for Kubernetes): [klogr](https://git.k8s.io/klog/klogr)
+- **a testing.T** (with klog-like text output): [ktesting](https://git.k8s.io/klog/ktesting)
+- **go.uber.org/zap**: [zapr](https://github.com/go-logr/zapr)
+- **log** (the Go standard library logger): [stdr](https://github.com/go-logr/stdr)
+- **github.com/sirupsen/logrus**: [logrusr](https://github.com/bombsimon/logrusr)
+- **github.com/wojas/genericr**: [genericr](https://github.com/wojas/genericr) (makes it easy to implement your own backend)
+- **logfmt** (Heroku style [logging](https://www.brandur.org/logfmt)): [logfmtr](https://github.com/iand/logfmtr)
+- **github.com/rs/zerolog**: [zerologr](https://github.com/go-logr/zerologr)
+- **github.com/go-kit/log**: [gokitlogr](https://github.com/tonglil/gokitlogr) (also compatible with github.com/go-kit/kit/log since v0.12.0)
+- **bytes.Buffer** (writing to a buffer): [bufrlogr](https://github.com/tonglil/buflogr) (useful for ensuring values were logged, like during testing)
+
+## FAQ
+
+### Conceptual
+
+#### Why structured logging?
+
+- **Structured logs are more easily queryable**: Since you've got
+ key-value pairs, it's much easier to query your structured logs for
+ particular values by filtering on the contents of a particular key --
+ think searching request logs for error codes, Kubernetes reconcilers for
+ the name and namespace of the reconciled object, etc.
+
+- **Structured logging makes it easier to have cross-referenceable logs**:
+ Similarly to searchability, if you maintain conventions around your
+ keys, it becomes easy to gather all log lines related to a particular
+ concept.
+
+- **Structured logs allow better dimensions of filtering**: if you have
+ structure to your logs, you've got more precise control over how much
+ information is logged -- you might choose in a particular configuration
+ to log certain keys but not others, only log lines where a certain key
+ matches a certain value, etc., instead of just having v-levels and names
+ to key off of.
+
+- **Structured logs better represent structured data**: sometimes, the
+ data that you want to log is inherently structured (think tuple-link
+ objects.) Structured logs allow you to preserve that structure when
+ outputting.
+
+#### Why V-levels?
+
+**V-levels give operators an easy way to control the chattiness of log
+operations**. V-levels provide a way for a given package to distinguish
+the relative importance or verbosity of a given log message. Then, if
+a particular logger or package is logging too many messages, the user
+of the package can simply change the v-levels for that library.
+
+#### Why not named levels, like Info/Warning/Error?
+
+Read [Dave Cheney's post][warning-makes-no-sense]. Then read [Differences
+from Dave's ideas](#differences-from-daves-ideas).
+
+#### Why not allow format strings, too?
+
+**Format strings negate many of the benefits of structured logs**:
+
+- They're not easily searchable without resorting to fuzzy searching,
+ regular expressions, etc.
+
+- They don't store structured data well, since contents are flattened into
+ a string.
+
+- They're not cross-referenceable.
+
+- They don't compress easily, since the message is not constant.
+
+(Unless you turn positional parameters into key-value pairs with numerical
+keys, at which point you've gotten key-value logging with meaningless
+keys.)
+
+### Practical
+
+#### Why key-value pairs, and not a map?
+
+Key-value pairs are *much* easier to optimize, especially around
+allocations. Zap (a structured logger that inspired logr's interface) has
+[performance measurements](https://github.com/uber-go/zap#performance)
+that show this quite nicely.
+
+While the interface ends up being a little less obvious, you get
+potentially better performance, plus avoid making users type
+`map[string]string{}` every time they want to log.
+
+#### What if my V-levels differ between libraries?
+
+That's fine. Control your V-levels on a per-logger basis, and use the
+`WithName` method to pass different loggers to different libraries.
+
+Generally, you should take care to ensure that you have relatively
+consistent V-levels within a given logger, however, as this makes deciding
+on what verbosity of logs to request easier.
+
+#### But I really want to use a format string!
+
+That's not actually a question. Assuming your question is "how do
+I convert my mental model of logging with format strings to logging with
+constant messages":
+
+1. Figure out what the error actually is, as you'd write in a TL;DR style,
+ and use that as a message.
+
+2. For every place you'd write a format specifier, look to the word before
+ it, and add that as a key value pair.
+
+For instance, consider the following examples (all taken from spots in the
+Kubernetes codebase):
+
+- `klog.V(4).Infof("Client is returning errors: code %v, error %v",
+ responseCode, err)` becomes `logger.Error(err, "client returned an
+ error", "code", responseCode)`
+
+- `klog.V(4).Infof("Got a Retry-After %ds response for attempt %d to %v",
+ seconds, retries, url)` becomes `logger.V(4).Info("got a retry-after
+ response when requesting url", "attempt", retries, "after
+ seconds", seconds, "url", url)`
+
+If you *really* must use a format string, use it in a key's value, and
+call `fmt.Sprintf` yourself. For instance: `log.Printf("unable to
+reflect over type %T")` becomes `logger.Info("unable to reflect over
+type", "type", fmt.Sprintf("%T"))`. In general though, the cases where
+this is necessary should be few and far between.
+
+#### How do I choose my V-levels?
+
+This is basically the only hard constraint: increase V-levels to denote
+more verbose or more debug-y logs.
+
+Otherwise, you can start out with `0` as "you always want to see this",
+`1` as "common logging that you might *possibly* want to turn off", and
+`10` as "I would like to performance-test your log collection stack."
+
+Then gradually choose levels in between as you need them, working your way
+down from 10 (for debug and trace style logs) and up from 1 (for chattier
+info-type logs.)
+
+#### How do I choose my keys?
+
+Keys are fairly flexible, and can hold more or less any string
+value. For best compatibility with implementations and consistency
+with existing code in other projects, there are a few conventions you
+should consider.
+
+- Make your keys human-readable.
+- Constant keys are generally a good idea.
+- Be consistent across your codebase.
+- Keys should naturally match parts of the message string.
+- Use lower case for simple keys and
+ [lowerCamelCase](https://en.wiktionary.org/wiki/lowerCamelCase) for
+ more complex ones. Kubernetes is one example of a project that has
+ [adopted that
+ convention](https://github.com/kubernetes/community/blob/HEAD/contributors/devel/sig-instrumentation/migration-to-structured-logging.md#name-arguments).
+
+While key names are mostly unrestricted (and spaces are acceptable),
+it's generally a good idea to stick to printable ascii characters, or at
+least match the general character set of your log lines.
+
+#### Why should keys be constant values?
+
+The point of structured logging is to make later log processing easier. Your
+keys are, effectively, the schema of each log message. If you use different
+keys across instances of the same log line, you will make your structured logs
+much harder to use. `Sprintf()` is for values, not for keys!
+
+#### Why is this not a pure interface?
+
+The Logger type is implemented as a struct in order to allow the Go compiler to
+optimize things like high-V `Info` logs that are not triggered. Not all of
+these implementations are implemented yet, but this structure was suggested as
+a way to ensure they *can* be implemented. All of the real work is behind the
+`LogSink` interface.
+
+[warning-makes-no-sense]: http://dave.cheney.net/2015/11/05/lets-talk-about-logging