#JODA TIME MINUS MINUTES CODE#
Rather than refactoring our code all at once, we broke the problem into smaller chunks and opted to do the migration slowly over multiple changes. Because our code directly impacts our customers’ livelihoods and meals, we had to make sure our refactorization would not introduce any unintended changes. Timestamps and durations are the basis for all of our estimations, so naturally they are used extensively throughout our codebase. Refactoring our codebase in this manner was a tall order. Some bug examples include unit conversion errors from milliseconds to seconds, or errors with adding five minutes to an estimation when we only meant to add five seconds.Īfter considering the challenge, we refactored our codebase to use a time library instead of primitives to increase code readability. This methodology worked for a while, but as we’ve grown in size and complexity, it became obvious that we needed a more reliable way to represent time due to bugs that stem from this practice. Like many startups, when we first developed the algorithm, we chose to represent time with primitive types. Code with poor readability also makes it easier for bugs to slip into our algorithm. If the code is difficult to understand at a glance, it increases our cognitive load and slows down our development time.
Because we iterate so quickly on our codebase, code readability is an important quality that helps us balance speed with accuracy. The dispatch team iterates on this algorithm weekly, as we’re constantly searching for quicker and more efficient ways of making the most optimal assignment. After considering every variable, we apply a score to each Dasher and delivery pair, and optimize the region to make the most optimal assignments. Our assignment algorithm, which makes many of these events possible, considers hundreds of variables, including location, distance, available Dashers, and food preparation time. Implement thread.DoorDash’s platform relies on accurate times affecting real-world events, such as if an order is ready when a Dasher, our term for a delivery person, comes to pick it up.Data Science vs Big Data vs Data Analytics.
īut the correct output should be: Time in seconds : 45 seconds. My output is: Time in seconds : 225 seconds. println ( "Time in hours: " + diffHours + " hours." ) println ( "Time in minutes: " + diffMinutes + " minutes." ) System. println ( "Time in seconds: " + diffSeconds + " seconds." ) System. getTime () long diffSeconds = diff / 1000 long diffMinutes = diff / ( 60 * 1000 ) long diffHours = diff / ( 60 * 60 * 1000 ) System. Can someone suggest, where my code is going wrong? String startDate = "11/03/14 09:29:58" String stopDate = "11/03/14 09:33:43" // Custom date format SimpleDateFormat format = new SimpleDateFormat ( "yy/MM/dd HH:mm:ss" ) Date d1 = null Date d2 = null try // Get msec from each, and subtract. But when I am executing the below code, it is not giving me the accurate difference in seconds. I have a code which calculates the difference between two dates in terms of hours/minutes/seconds.
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