Files
backend/continue_baseline_parallel.sh
T

85 lines
2.8 KiB
Bash
Raw Normal View History

#!/bin/bash
# PubMed 基线 —— 单 aria2 实例 3 路并发 + 串行导入
# 用 aria2 的 -j 参数控制内部并发,比多进程更友好(共享连接池)
set -e
STATE_FILE="/tmp/pubmed_import_state.txt"
BATCH_DIR="/tmp/pubmed_batch"
SCRIPT="/app/scripts/pubmed_baseline.py"
BASE_URL="https://ftp.ncbi.nlm.nih.gov/pubmed/baseline"
TOTAL=1334
BATCH=3
mkdir -p "$BATCH_DIR"
CURRENT=$(cat "$STATE_FILE" 2>/dev/null || echo 0)
echo "[$(date)] Resuming from file $((CURRENT+1)), total $TOTAL"
for ((batch_start = CURRENT+1; batch_start <= TOTAL; batch_start += BATCH)); do
batch_end=$((batch_start + BATCH - 1))
if ((batch_end > TOTAL)); then batch_end=$TOTAL; fi
echo "[$(date)] Batch $batch_start-$batch_end: downloading..."
# 用单 aria2 实例下载本批,-j 限制并发数
URLS=()
for ((i = batch_start; i <= batch_end; i++)); do
fnum=$(printf "%04d" $i)
filename="pubmed26n${fnum}.xml.gz"
filepath="$BATCH_DIR/$filename"
if [ -f "$filepath" ] && [ -s "$filepath" ]; then
echo "[$i] Already cached ($(stat -c%s "$filepath") bytes)"
continue
fi
URLS+=("${BASE_URL}/pubmed26n${fnum}.xml.gz")
done
if [ ${#URLS[@]} -gt 0 ]; then
aria2c -x 2 -s 2 -k 1M -j 3 --connect-timeout=30 --timeout=120 \
--console-log-level=warn --summary-interval=0 \
--retry-wait=5 --max-tries=3 \
--dir="$BATCH_DIR" \
"${URLS[@]}" 2>&1 | grep -E "^(Download Results| \[#|OK|ERR)"
fi
echo "[$(date)] Batch $batch_start-$batch_end: downloads complete"
# 串行导入
for ((i = batch_start; i <= batch_end; i++)); do
fnum=$(printf "%04d" $i)
filename="pubmed26n${fnum}.xml.gz"
filepath="$BATCH_DIR/$filename"
if [ ! -s "$filepath" ]; then
echo "[$i] Download failed or empty, skipping"
continue
fi
SIZE=$(stat -c%s "$filepath")
if [ "$SIZE" -lt 1000000 ]; then
echo "[$i] File too small ($SIZE bytes), skipping"
rm -f "$filepath"
continue
fi
echo "[$(date)] [$i] Importing $filename ($SIZE bytes)..."
START=$(date +%s)
docker exec scilit-backend-1 mkdir -p /tmp/pubmed_batch 2>/dev/null
docker cp "$filepath" scilit-backend-1:/tmp/pubmed_batch/
docker exec -w /app scilit-backend-1 python "$SCRIPT" --dir /tmp/pubmed_batch 2>&1 | tail -1
END=$(date +%s)
DURATION=$((END - START))
echo "$i" > "$STATE_FILE"
echo "[$i] ${DURATION}s" >> /tmp/pubmed_import.log
echo "[$(date)] [$i] Done (${DURATION}s)"
rm -f "$filepath"
docker exec scilit-backend-1 rm -f "/tmp/pubmed_batch/$filename" 2>/dev/null
done
done
echo "[$(date)] Done! All $TOTAL files processed."