tracemem experiment for dplyr

lobstr_dplyr.R

library(lobstr)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(reprex)

x <- mtcars
obj_size(x)
#> 6,736 B
tracemem(x)
#> [1] "<0x1daa4d8>"
x %>%
  filter(disp >  160) %>%
  mutate(greater_200 = disp > 200)
#> tracemem[0x1daa4d8 -> 0x12c2e68]: list_to_tibble as_data_frame.data.frame as_data_frame tbl_df filter as.data.frame filter.data.frame filter <Anonymous> freduce _fseq eval eval withVisible %>% eval eval withVisible withCallingHandlers doTryCatch tryCatchOne tryCatchList tryCatch try handle timing_fn evaluate_call <Anonymous> evaluate in_dir block_exec call_block process_group.block process_group withCallingHandlers process_file <Anonymous> <Anonymous> <Anonymous> <Anonymous> do.call saveRDS withCallingHandlers 
#> tracemem[0x12c2e68 -> 0x3640918]: check_tibble list_to_tibble as_data_frame.data.frame as_data_frame tbl_df filter as.data.frame filter.data.frame filter <Anonymous> freduce _fseq eval eval withVisible %>% eval eval withVisible withCallingHandlers doTryCatch tryCatchOne tryCatchList tryCatch try handle timing_fn evaluate_call <Anonymous> evaluate in_dir block_exec call_block process_group.block process_group withCallingHandlers process_file <Anonymous> <Anonymous> <Anonymous> <Anonymous> do.call saveRDS withCallingHandlers 
#> tracemem[0x3640918 -> 0x340e1f8]: new_tibble list_to_tibble as_data_frame.data.frame as_data_frame tbl_df filter as.data.frame filter.data.frame filter <Anonymous> freduce _fseq eval eval withVisible %>% eval eval withVisible withCallingHandlers doTryCatch tryCatchOne tryCatchList tryCatch try handle timing_fn evaluate_call <Anonymous> evaluate in_dir block_exec call_block process_group.block process_group withCallingHandlers process_file <Anonymous> <Anonymous> <Anonymous> <Anonymous> do.call saveRDS withCallingHandlers 
#> tracemem[0x340e1f8 -> 0x2f30be8]: set_tibble_class new_tibble list_to_tibble as_data_frame.data.frame as_data_frame tbl_df filter as.data.frame filter.data.frame filter <Anonymous> freduce _fseq eval eval withVisible %>% eval eval withVisible withCallingHandlers doTryCatch tryCatchOne tryCatchList tryCatch try handle timing_fn evaluate_call <Anonymous> evaluate in_dir block_exec call_block process_group.block process_group withCallingHandlers process_file <Anonymous> <Anonymous> <Anonymous> <Anonymous> do.call saveRDS withCallingHandlers 
#> tracemem[0x2f30be8 -> 0x2f312c8]: as_data_frame.data.frame as_data_frame tbl_df filter as.data.frame filter.data.frame filter <Anonymous> freduce _fseq eval eval withVisible %>% eval eval withVisible withCallingHandlers doTryCatch tryCatchOne tryCatchList tryCatch try handle timing_fn evaluate_call <Anonymous> evaluate in_dir block_exec call_block process_group.block process_group withCallingHandlers process_file <Anonymous> <Anonymous> <Anonymous> <Anonymous> do.call saveRDS withCallingHandlers
#>     mpg cyl  disp  hp drat    wt  qsec vs am gear carb greater_200
#> 1  21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1        TRUE
#> 2  18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2        TRUE
#> 3  18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1        TRUE
#> 4  14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4        TRUE
#> 5  19.2   6 167.6 123 3.92 3.440 18.30  1  0    4    4       FALSE
#> 6  17.8   6 167.6 123 3.92 3.440 18.90  1  0    4    4       FALSE
#> 7  16.4   8 275.8 180 3.07 4.070 17.40  0  0    3    3        TRUE
#> 8  17.3   8 275.8 180 3.07 3.730 17.60  0  0    3    3        TRUE
#> 9  15.2   8 275.8 180 3.07 3.780 18.00  0  0    3    3        TRUE
#> 10 10.4   8 472.0 205 2.93 5.250 17.98  0  0    3    4        TRUE
#> 11 10.4   8 460.0 215 3.00 5.424 17.82  0  0    3    4        TRUE
#> 12 14.7   8 440.0 230 3.23 5.345 17.42  0  0    3    4        TRUE
#> 13 15.5   8 318.0 150 2.76 3.520 16.87  0  0    3    2        TRUE
#> 14 15.2   8 304.0 150 3.15 3.435 17.30  0  0    3    2        TRUE
#> 15 13.3   8 350.0 245 3.73 3.840 15.41  0  0    3    4        TRUE
#> 16 19.2   8 400.0 175 3.08 3.845 17.05  0  0    3    2        TRUE
#> 17 15.8   8 351.0 264 4.22 3.170 14.50  0  1    5    4        TRUE
#> 18 15.0   8 301.0 335 3.54 3.570 14.60  0  1    5    8        TRUE
obj_size(x)
#> 6,736 B