miller/scripts/perf

Miller Performance Benchmarks

Scripts for reproducing the performance graphs at https://miller.readthedocs.io/en/latest/performance/

Quick start

# Once — if ~/data/big.csv doesn't already exist (run from repo root):
bash scripts/perf/prep-perf-data.sh

# Collect timings and render graphs (run from scripts/perf/):
cd scripts/perf
bash run-perf.sh ~/bin/mlr-6.18.1 ~/bin/mlr-6.19.0

That runs time-verbs.py with both executables (5 reps each, ~18 cases), saves timings-YYYY-MM-DD.dat, then calls plot-timings.sh to produce three PNGs: -verbs.png, -chains.png, -cats.png.

Prerequisites

• Python 3
• pgr (used by plot-timings.sh to render PNG graphs)
• One or more Miller executables to compare

Step-by-step

Step 1 — Generate test data (one-time)

Run from the Miller repo root:

bash scripts/perf/prep-perf-data.sh

This creates ~/data/big.csv (~1 million rows) and derived files in DKVP, NIDX, XTAB, and JSON formats, plus small.csv and medium.csv subsets.

Step 2 — Collect timings

Run from scripts/perf/, passing one or more executables to compare:

python time-verbs.py ~/bin/mlr-6.18.1 ~/bin/mlr-6.19.0 \
  > timings-$(date +%Y-%m-%d).dat

Output is DKVP, one record per (case, executable): desc=...,version=...,seconds=...

Five reps are averaged per case. Cases cover:

• Verbs: check, cat, tail, tac, sort -f, sort -n, stats1
• Then-chains: one to four chained put -f chain-1.mlr steps
• Formats: cat across CSV, CSVLITE, DKVP, NIDX, XTAB, JSON

Step 3 — Plot

bash plot-timings.sh timings-YYYY-MM-DD.dat

Produces three PNGs alongside the dat file:

• *-verbs.png — verb timings
• *-chains.png — then-chain depth
• *-cats.png — format comparison

Files

File	Purpose
prep-perf-data.sh	Generate ~/data/big.csv and format variants (one-time)
time-verbs.py	Time each verb/format/chain case; outputs DKVP
chain-1.mlr	DSL script used for then-chain benchmarks
run-perf.sh	Wrapper: collect timings + plot
plot-timings.sh	Read a .dat file and render PNGs via pgr
timings-2026-02-22.sh	Original one-off plot script (hardcoded filename)
timings-2026-02-22.dat	Timing data from the February 2026 run