DataLog

A modern, light-weight, and Swift 5.0 framework for logging with Datadog.

Installation

CococaPods

The best way to use Datalog in your project is with Cocoapods. To do this, simply add pod 'Datalog' to your project's Podfile, then run pod install.

Manual

Though this method is not recommended, you can just many copy the source files from the project into your own project. Everything should work just as it would if you had installed via CocoaPods. I don not recommend this method of installation, as any new bug fixes / improvements will need to be added to your project manually. Not fun.

Usage

DatalogConfiguration

In order to initialize a DatalogClient you must first create a DatalogConfiguration instance. This configuration type contains specific details on your project should interact with the DatalogClient, which in turn configures how your logs are sent to Datadog's servers.

The initialization of the DatalogConfiguration is failable, in that it will throw under two specific conditions:

• The apiKey property you're attempting to set is an empty string
• The maximumBatchCount specified is greater than the current maximum allowed.

Both of these scenarios will result in either a DatalogConfiguration.Error.apiKeyEmpty error or a DatalogConfiguration.Error.batchCountNotSupported error.

Given that this initializer throws, you will either need to wrap it do-try-catch, or be explicit about your intent to instantiate the object with something like let configuration = try! DatalogConfiguration(...).

The initializer takes a total of six (6) properties, however only the first property, the apiKey, is required. All of the remaining properties have default values and do not need to be included unless you are overriding the default values.

The properties, in order, are:

• apiKey: required The API key for your Datadog application
• hostLocation: Whether or not the client should connect to the EU host or the US host. Default: .us
• maximumBatchCount: The maximum number of events to batch before persisting to Datadog. Default: 50.
• minimumLogLevel: The minimum log level threshhold to persist logs to Datadog. Default: .info
• networkProtocol: The network protocol to use for the request. Default: .https
• sourceName: The source application name, eg: YourCoolApp. Default: nil

Example

let config = try! DatalogConfiguration("my-api-key")
let config = try! DatalogConfiguration("my-api-key", maximumBatchCount: 25)
let config = try! DatalogConfiguration("my-api-key", maximumBatchCount: 25, sourceName: "My Cool App")

DatalogClient

The DatalogClient takes three (3) properties, with only one (1) property being required.

The properties, in order, are:

• configuration: required The DatalogConfiguration for your Datadog environment
• fileManager: A FileManger instance that will allow you to store failed logs on the device for future retrieval. Default: .default
• urlSession: A URLSession instance. Useful if you would like to pass a pre-configured URLSession for use with the Datalog client. Default: .init(configuration: .default).

Additionally, the client only has two public methods: log and flush.

log

The log method is used for adding DatalogMessage types to the current batch of messages to be logged in Datadog. This method will automatically verify if the current batch has reached the configured maximum and, if it has, will trigger the submission to Datadog.

Method signature

public func log(_ message: DatalogMessage, forceUpdate: Bool = false)

The first property of the signature is the DatalogMessage type, which is a representation of the log data you want to send. The second property is forceUpdate which, if set to true will add the message to the existing batch and submit that batch to Datadog.

flush

The flush method is used for manually triggering submission of the current batch of messages. Regardless of the count of items in the current batch, the batch will be submitted to Datadog and cleared. This is useful for allowing things like flushing the current batch when the app enters the background in order to send logs before the app is terminated, etc.

Method Signature

public func flush()

Offline Support

Logs are valuable and losing that data due to a network issue isn't fun. That's why Datalog supports offline logging.

In the event that batch fails to send to Datadog, that batch will be saved to disk and will retried the next time that the DatalogClient is instantiated.