Motivation: The original implementation of Logging was done in more haste than should have been, without proper attention given to the semantic requirements. As the Swift ecosystem has matured a bit, lessons have been learned on handling metadata and passing of external context into internal subcomponents. A mixture of the "protocol-based context passing" and "explicit context passing" patterns have been adopted. Both patterns are more fully described in the Swift forum discussion: https://forums.swift.org/t/the-context-passing-problem/39162 Modifications: - Add: `RedisLogging` namespace with references to static keys and labels that are used for Logging throughout the library - Add: `Logger` static computed properties to access the Logger prototypes used in connection and connection pools - Add: `RedisClientWithUserContext` protocol and `UserContextRedisClient` types to assist with wrapping client types for custom logger contexts - Remove: `logger` property from `RedisClient` requirements - Change: Many log statements to have higher or lower log levels for their appropriate context - Change: `RedisConnection` and `RedisConnectionPool` to conform to `RedisClientWithUserContext` - Change: `logging(to:)` protocol requirement to return a `RedisClient` existential - Change: ConnectionPool to explicitly pass a logger instance around for pooling methods Result: Logging in RediStack will now have a stronger contract of where and how logs will be generated and which context will be used. Fixes #79 and #74
3.3 KiB
RediStack Logging
Subsystem logging is a form of art, where the proper balance of logging too much is weighed against the need for specific information to not be lost to developers.
Sometimes, a subsystem log is what turns a 3 hour debug session into a 5 minute one.
Categories of Logs
RediStack approaches logging with the mindset of "user-space" versus "system-space" logs.
system-spacebeing logs that are triggered from static contexts- examples include trace statements or precondition failures
user-spacebeing logs that are triggered by a user event- examples include requesting a pool connection or sending a Redis command
From this mindset, the design is impacted in two ways:
- Connections (and pools) have a "static" logger instance for their entire lifetime to log in
system-space - Regular user-driven events can provide a custom logger instance that is tied to the lifetime of the event, hence
user-space
In both cases, the logger can be provided by a developer to have a custom label and attached metadata for each log statement.
However, in the first case the logger is configured once at initialization and is bound to the lifetime of the pool or individual connection.
In order to cut down on the verbosity of both the definitions of methods and at the call site, RediStack employs the use of a pattern referred to as Protocol-based Context Passing.
// example code, may not reflect current implementation
private struct CustomLoggingRedisClient: RedisClient {
// a client that this object will act as a context proxy for
private let client: RedisClient
private let logger: Logger
/* conformance to RedisClient protocol */
}
extension RedisClient {
public func logging(to logger: Logger) -> RedisClient {
return CustomLoggingRedisClient(client: self, logger: logger)
}
}
let myCustomLogger = ...
let connection = ...
connection
.logging(to: myCustomLogger) // will use this logger for all 'user-space' logs for any requests made
.ping()
Log Guidelines
- Prefer logging at
tracelevels - Prefer
debugfor any log that contains metadata, especially complex ones like structs or classes
- exceptions to this guideline may include metadata such as object IDs that are triggering the logs
- Dynamic values should be attached as metadata rather than string interpolated
- All log metadata keys should be added to the
RedisLoggingnamespace - Log messages should be in all lowercase, with no punctuation preferred
- if a Redis command keyword (such as
QUIT) is in the log message, it should be in all caps
- Log a
criticalmessage before anypreconditionfailure - Prefer single locations of
errormessages
- for example, only the top level
sendcommand onRedisConnectionshould log the error returned from Redis or from a failedEventLoopFuture
warninglogs should be reserved for situations that could lead tocriticalconditions
- this may include leaks or bad state
Metadata
- All keys should have the
rdstkprefix to avoid collisions - Public metadata keys should be 16 characters or less to avoid as many String allocations as possible
- Keys should be computed properties to avoid memory costs