geobench is a place to put data (in the releases) and code (in any language) to test performance.
It relies on the bench package for testing and datasets uploaded into
the releases.
Pre-requisites
This section lists the software that needs to be installed to run these benchmarks. It will likely evolve over time.
R packages
benchsfspspData
Set-up
The code in this section only needs to run once, or at least each time a new dataset is added to the benchmarks.
Python was set-up to run python3. This can be done at the system level
or, if you’re running these benchmarks from RStudio by adding the
following line to .Renviron (which can be edited with
usethis::edit_r_environ()):
RETICULATE_PYTHON=/usr/bin/python3
Large point dataset covering UK
stplanr::dl_stats19()
ac = stplanr::read_stats19_ac() # 214 mb compressed data
ac = ac[!is.na(ac$Latitude), ]
ac_sf = sf::st_as_sf(ac[ c("Accident_Severity", "Longitude", "Latitude")], coords = c("Longitude", "Latitude"))
sf::write_sf(ac_sf, "ac.geojson") # 228 MB .geojson file
sf::write_sf(ac_sf[1:1e6, ], "ac-M.geojson") # 139 MB .geojson file
sf::write_sf(ac_sf[1:1e5, ], "ac-100K.geojson") # 14 MB .geojson file
sf::write_sf(ac_sf[1:1e4, ], "ac-10K.geojson") # 1 MB .geojson file
sf::write_sf(ac_sf[1:1e3, ], "ac-1K.geojson") # 0.1 MB .geojson file
zip("ac.geojson.zip", "ac.geojson") # 14 MB
piggyback::pb_upload(file = "ac.geojson.zip")
piggyback::pb_upload(file = "ac-100K.geojson")
piggyback::pb_upload(file = "ac-10K.geojson")Download data
if(!file.exists("ac.geojson")) {
download.file("https://github.com/ATFutures/geobench/releases/download/0.0.1/ac.geojson.zip", "ac.geojson.zip")
unzip("ac.geojson.zip")
download.file("https://github.com/ATFutures/geobench/releases/download/0.0.1/ac-100k.geojson", "ac-100k.geojson")
download.file("https://github.com/ATFutures/geobench/releases/download/0.0.1/ac-10k.geojson", "ac-10k.geojson")
}Benchmark 1: reading data
Full dataset
Took too long to run and consumed too much memory to evaluate each time. Results from first run pasted below:
bench::mark(iterations = 1, check = FALSE,
{ac_sf = sf::read_sf("ac.geojson")},
{ac_sp = rgdal::readOGR("ac.geojson")}
)
#> expression min mean median max `itr/sec` mem_alloc
#> <chr> <bch:t> <bch:t> <bch:tm> <bch:t> <dbl> <bch:byt>
#> 1 {... 36.7s 36.7s 36.7s 36.7s 0.0272 655.6MB
#> 2 {... 2m 2m 2m 2m 0.00835 1.2GB 100K sample
This runs happily and quickly so the results are run each time:
bench::mark(iterations = 1, check = FALSE,
geosf = {ac_gsf = geojsonsf::geojson_sf("ac-100K.geojson")},
sf = {ac_sf10k = sf::read_sf("ac-100K.geojson")},
sp = {ac_sp10k = rgdal::readOGR("ac-100K.geojson", verbose = F)}
)
#> Warning: Some expressions had a GC in every iteration; so filtering is
#> disabled.
#> # A tibble: 3 x 10
#> expression min mean median max `itr/sec` mem_alloc n_gc
#> <chr> <bch:t> <bch:t> <bch:t> <bch:t> <dbl> <bch:byt> <dbl>
#> 1 geosf 327.2ms 327.2ms 327.2ms 327.2ms 3.06 16.6MB 1
#> 2 sf 4.21s 4.21s 4.21s 4.21s 0.238 46.6MB 8
#> 3 sp 10.37s 10.37s 10.37s 10.37s 0.0965 90MB 2
#> # ... with 2 more variables: n_itr <int>, total_time <bch:tm>pip3 install geopandas
pip3 install pytictoc
pip3 install rasterioimport sys
print(sys.version)
#> 3.6.6 (default, Sep 12 2018, 18:26:19)
#> [GCC 8.0.1 20180414 (experimental) [trunk revision 259383]]
import geopandas as gpd
from pytictoc import TicToc
t = TicToc()
t.tic()
s = gpd.read_file("ac-100K.geojson")
t.toc()
#> Elapsed time is 3.859898 seconds.Benchmark 2: spatial subsetting
Work in progress…
System info
system("lscpu", intern = TRUE)
#> [1] "Architecture: x86_64"
#> [2] "CPU op-mode(s): 32-bit, 64-bit"
#> [3] "Byte Order: Little Endian"
#> [4] "CPU(s): 4"
#> [5] "On-line CPU(s) list: 0-3"
#> [6] "Thread(s) per core: 2"
#> [7] "Core(s) per socket: 2"
#> [8] "Socket(s): 1"
#> [9] "NUMA node(s): 1"
#> [10] "Vendor ID: GenuineIntel"
#> [11] "CPU family: 6"
#> [12] "Model: 142"
#> [13] "Model name: Intel(R) Core(TM) i7-7500U CPU @ 2.70GHz"
#> [14] "Stepping: 9"
#> [15] "CPU MHz: 2889.441"
#> [16] "CPU max MHz: 3500.0000"
#> [17] "CPU min MHz: 400.0000"
#> [18] "BogoMIPS: 5808.00"
#> [19] "Virtualisation: VT-x"
#> [20] "L1d cache: 32K"
#> [21] "L1i cache: 32K"
#> [22] "L2 cache: 256K"
#> [23] "L3 cache: 4096K"
#> [24] "NUMA node0 CPU(s): 0-3"
#> [25] "Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb invpcid_single pti ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp"