| Attempt Number | Approach | Execution Time | Diff | Commit |
|---|---|---|---|---|
| 0 | Naive Implementation: Read temperatures into a map of cities. Iterate serially over each key (city) in map to find min, max and average temperatures. | 6:13.15 | ||
| 1 | Evaluate each city in map concurrently using goroutines. | 4:32.80 | -100.35 | 8bd5f43 |
| 2 | Remove sorting float64 slices. Calculate min, max and average by iterating. | 4:25.59 | -7.21 | 830e5df |
| 3 | Decouple reading and processing of file content. A buffered goroutine is used to communicate between the two processes. | 5:22.83 | +57.24 | 2babf7d |
| 4 | Instead of sending each line to the channel, now sending 100 lines chunked together. Also, to minimise garbage collection, not freeing up memory when resetting a slice. | 3:41.76 | -161.07 | b7b1781 |
| 5 | Read file in chunks of 100 MB instead of reading line by line. | 3:32.62 | -9.14 | c26fea4 |
| 6 | Convert temperature from string to int64, process in int64 and convert to float64 at the end. |
2:51.50 | -41.14 | 7812da4 |
| 7 | In the city <> temperatures map, replaced the value for each key (city) to preprocessed min, max, count and sum of all temperatures instead of storing all recorded temperatures for the city. | 1:39.81 | -71.79 | e5213a8 |
| 8 | Use producer consumer pattern to read file in chunks and process the chunks in parallel. | 1:43.82 | +14.01 |