You can write very fast programs in Objective-C, but you can also write very slow ones. Performance isn’t a characteristic of a language but of a language implementation, and more importantly, of the programs written in that language. Performance optimization requires that you measure the time to perform a task, then try algorithm and coding changes to make the task faster.
The most important performance issue is the quality of the libraries used in developing applications. Good quality libraries reduce the performance impact. So to help you improve performance in your apps, we’ve updated the Splunk MINT SDK for iOS to provide an easy way to trace a method performance using MACROS.
To trace an Objective-C method, add the MINT_METHOD_TRACE_START macro to the beginning of your method and the MINT_METHOD_TRACE_STOP macro to the end of it.
For example:
- (void)anyMethod {
MINT_METHOD_TRACE_START
...
MINT_METHOD_TRACE_STOP
}
If you are not using ARC, use the MINT_NONARC_METHOD_TRACE_STOP macro to avoid a memory leak issue.
The trace method automatically picks up performance metrics for your method and sends it to Splunk. The trace report contains following fields:
- method
- elapsedTime
- threadID
To view the event information, run following search in Splunk:
index=mint sourcetype=mint:methodinvocation
Here is an example event:
{
apiKey: 6d8c9a39
appEnvironment: Staging
appRunningState: Background
appVersionCode: 1
appVersionName: 3.1
batteryLevel: -100
carrier: NA
connection: WIFI
currentView: MainViewController
device: iPad5,3
elapsedTime: 1105708
extraData: {
}
locale: GB
method: -[MainViewController mintMeta]
msFromStart: 1450
osVersion: 9.2.1
packageName: WhiteHouse
platform: iOS
remoteIP: 185.75.2.2
screenOrientation: Portrait
sdkVersion: 5.1.0
session_id: E9F4BE3D-0CEB-4461-9442-145101E5EE67
state: CONNECTED
threadID: 10759
transactions: [
]
userIdentifier: XXXXXXXX
uuid: XXXXXXXX
}