Closed boshek closed 3 years ago
As interesting as this, benchmarking demonstrates that there are no performance gains over the in-memory solution:
R> microbenchmark::microbenchmark( hy_daily_flows(prov_terr_state_loc = "BC", start_date = as.Date("2018-01-01"), end_date = as.Date("2018-12-31")), times = 5 ) Unit: seconds expr hy_daily_flows(prov_terr_state_loc = "BC", start_date = as.Date("2018-01-01"), end_date = as.Date("2018-12-31")) min lq mean median uq max neval 2.955362 2.960431 3.034962 2.97163 3.021069 3.266315 5 NOTE: .Random.seed changed R> R> R> microbenchmark::microbenchmark( tidyhydat::hy_daily_flows(prov_terr_state_loc = "BC", start_date = as.Date("2018-01-01"), end_date = as.Date("2018-12-31")), times = 5 ) Unit: seconds expr tidyhydat::hy_daily_flows(prov_terr_state_loc = "BC", start_date = as.Date("2018-01-01"), end_date = as.Date("2018-12-31")) min lq mean median uq max neval 2.798188 2.821361 2.870246 2.891894 2.897072 2.942717 5 NOTE: .Random.seed changed
As interesting as this, benchmarking demonstrates that there are no performance gains over the in-memory solution: