Edit

Retry Mechanism Explained

The retry mechanism uses a randomization function that grows exponentially. This formula and how the default values affect it is best described by the example below:

• 1st retry:
  • Always a flat initialRetryTime ms
  • Default: 300ms
• Nth retry:
  • Formula: Random(previousRetryTime * (1 - factor), previousRetryTime * (1 + factor)) * multiplier
  • N = 1:
    • Since previousRetryTime == initialRetryTime just plug the values in the formula:
    • Random(300 * (1 - 0.2), 300 * (1 + 0.2)) * 2 => Random(240, 360) * 2 => (480, 720) ms
    • Hence, somewhere between 480ms to 720ms
  • N = 2:
    • Since previousRetryTime from N = 1 was in a range between 480ms and 720ms, the retry for this step will be in the range of:
    • previousRetryTime = 480ms => Random(480 * (1 - 0.2), 480 * (1 + 0.2)) * 2 => Random(384, 576) * 2 => (768, 1152) ms
    • previousRetryTime = 720ms => Random(720 * (1 - 0.2), 720 * (1 + 0.2)) * 2 => Random(576, 864) * 2 => (1152, 1728) ms
    • Hence, somewhere between 768ms to 1728ms
  • And so on...