#!/usr/bin/env bash # Reproducible ETL throughput benchmark. # # Three configurations against a fixed BENCH_DOCS slice of the Wikipedia # 2003-05-16 cur dump: # # serial single process, single SQLite (Phase 1a) # parallel-shared N shards, one shared SQLite (Phase 1b — WAL serialized) # attached N shards, per-shard SQLite (Phase 2 — true parallel writes) # # Output: per-config wall, throughput (docs/s), and a one-line summary table. set -uo pipefail BENCH_DOCS=${1:-5000} BENCH_DIR=${BENCH_DIR:-/tmp/arborist-bench} SHARDS=${SHARDS:-4} DUMP=${DUMP:-data/20030516_cur_tablesql.bz2} ARBORIST=${ARBORIST:-.venv/bin/arborist} mkdir -p "$BENCH_DIR" if [[ ! -f "$DUMP" ]]; then echo "missing dump $DUMP — run 'make fetch-cur' first" >&2 exit 2 fi run_silent() { # $1 = label (writes wall time in seconds to stdout) local start end start=$(date +%s.%N) "$@" >/dev/null 2>&1 end=$(date +%s.%N) echo "$end - $start" | bc -l } # Each row will be: label,wall_s,docs/s declare -a results bench_serial() { local db=$BENCH_DIR/serial.db rm -f "$db" "$db-"* local wall wall=$(run_silent "$ARBORIST" --db "$db" ingest --quiet \ --source wikipedia_cur --path "$DUMP" --limit "$BENCH_DOCS") local docs docs=$(sqlite3 "$db" "SELECT COUNT(*) FROM documents") printf "serial,%s,%s\n" "$wall" "$docs" } bench_parallel_shared() { local db=$BENCH_DIR/shared.db rm -f "$db" "$db-"* local per=$((BENCH_DOCS / SHARDS)) local start end wall start=$(date +%s.%N) for i in $(seq 0 $((SHARDS - 1))); do "$ARBORIST" --db "$db" ingest --quiet \ --source wikipedia_cur --path "$DUMP" \ --shard "$i/$SHARDS" --limit "$per" >/dev/null 2>&1 & done wait end=$(date +%s.%N) wall=$(echo "$end - $start" | bc -l) local docs docs=$(sqlite3 "$db" "SELECT COUNT(*) FROM documents") printf "parallel-shared,%s,%s\n" "$wall" "$docs" } bench_attached() { local dir=$BENCH_DIR/attached rm -rf "$dir" mkdir -p "$dir" local per=$((BENCH_DOCS / SHARDS)) local start end wall start=$(date +%s.%N) for i in $(seq 0 $((SHARDS - 1))); do "$ARBORIST" ingest --quiet \ --source wikipedia_cur --path "$DUMP" \ --shards-dir "$dir" --shard "$i/$SHARDS" --limit "$per" >/dev/null 2>&1 & done wait end=$(date +%s.%N) wall=$(echo "$end - $start" | bc -l) local docs docs=$("$ARBORIST" --shards-dir "$dir" stats 2>/dev/null \ | python3 -c "import json,sys; print(json.load(sys.stdin)['documents_total'])") printf "attached,%s,%s\n" "$wall" "$docs" } echo "=== arborist ETL benchmark — $BENCH_DOCS docs target, $SHARDS shards ===" echo results+=("$(bench_serial)") results+=("$(bench_parallel_shared)") results+=("$(bench_attached)") # Pretty table. printf " %-18s %10s %10s %12s\n" "config" "wall_s" "docs" "docs/s" printf " %-18s %10s %10s %12s\n" "------" "------" "----" "------" for row in "${results[@]}"; do IFS=',' read -r label wall docs <<<"$row" rate=$(echo "scale=1; $docs / $wall" | bc -l) printf " %-18s %10.2f %10s %12s\n" "$label" "$wall" "$docs" "$rate" done echo echo " (raw CSV: $BENCH_DIR/results.csv)" { printf "config,wall_s,docs\n"; printf "%s\n" "${results[@]}"; } > "$BENCH_DIR/results.csv"