1) The document discusses using Swift for big data applications involving collaborative data collection and analysis. 2) It describes a CSVDumpable class that can synchronously dump data to disk in the background for later analysis. 3) Key aspects of performance for big data applications in Swift are discussed, including using NSOperationQueue, release build optimizations, and avoiding string concatenation.

1. SWIFT AND THE BIG DATA
A collaborative use case
Carlos Alonso
http://mrcalonso.com
@calonso

2. • Carlos Alonso
• Software Engineer at MyDrive
Solutions
• iOS developer since 2.1 (=~ 2009)
• Swift since the very first day
• http://mrcalonso.com
• @calonso

3. Volume Velocity
Variety Veracity
Big Data Value

4. COLLABORATIVE MODEL
Big Data

7. START RECORDING!

8. MEMORY
• CSVDumpable: Background synchronised data dumping to
disk.
• Instruments
• http://engineering.mydrivesolutions.com/posts/swift_data_coll
ection/

9. init(filename: String!) {
file = NSTemporaryDirectory().stringByAppendingPathComponent("(filename).csv")
os = NSOutputStream(toFileAtPath: file, append: false)!
os.open()
super.init()
}
func addRow(row: CSVRepresentable) {
if let rowData = row.toCSV().
dataUsingEncoding(NSUTF8StringEncoding, allowLossyConversion: false) {
let bytes = UnsafePointer<UInt8>(rowData.bytes)
lock.lock()
os.write(bytes, maxLength: rowData.length)
lock.unlock()
}
}

10. PERFORMANCE
• NSOperationQueue.
• Release build optimisations.
• Beware concatenating strings!
• Instruments

11. IOS STUFF
• Background modes.
• Operation Queues.
• Sensors:
• Accelerometer
• DeviceMotion API
• GPS
• …

12. STILL RUNNING?

13. – Carlos Alonso
“Push back your ego, strive for simplicity.”

14. BIG THANKS!
http://mrcalonso.com
@calonso