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cdsc_reddit/datasets/add_months.sh
Benjamin Mako Hill 926e9bc364 datasets/: fat-node add_months.sh; multinode variant as separate script
add_months.sh now targets a single fat node directly: starts a local
Spark cluster via start_spark_cluster.sh, submits jobs, stops the
cluster. No salloc needed.

add_months_multinode.sh is a new script for the multi-node case using
start_spark_and_run.sh from a login node. Usage takes NODES as first arg.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-25 18:35:12 -07:00

131 lines
5.3 KiB
Bash
Executable File

#!/usr/bin/env bash
#
# Add one or more new months to the existing parquet datasets using a
# layered append. Designed to run on a single fat node (e.g. cpu-g2 with
# 128 cores / ~1TB RAM). For a multi-node Spark cluster instead, see
# add_months_multinode.sh.
#
# Usage:
# add_months.sh YYYY-MM [YYYY-MM ...]
#
# Example:
# add_months.sh 2025-01 2025-02 2025-03
#
# The new .zst dump files must live at:
# $COMMENTS_DUMPDIR/RC_YYYY-MM.zst
# $SUBMISSIONS_DUMPDIR/RS_YYYY-MM.zst
#
# Override the dump directories via environment variables if the new files
# are not in the standard locations:
#
# COMMENTS_DUMPDIR=/path/to/new/comments \
# SUBMISSIONS_DUMPDIR=/path/to/new/submissions \
# ./add_months.sh 2025-01 2025-02
#
# Workflow:
# Part 1 — parse new .zst files into per-month parquets (parallel)
# Part 2 — sort into staging directories, not the live datasets (Spark)
# [script exits here — verify staging before continuing]
# Copy — move staging files into live datasets (run manually after verify)
# Cleanup — remove temp and staging dirs (run manually after copy)
#
# NOTE: This script and its workflow are written but not yet tested.
# Remove this notice after a successful end-to-end run.
#
# Every command below is independently runnable for debugging.
set -e
cd "$(dirname "$0")"
if [ $# -eq 0 ]; then
echo "Usage: $0 YYYY-MM [YYYY-MM ...]" >&2
exit 1
fi
COMMENTS_DUMPDIR="${COMMENTS_DUMPDIR:-/gscratch/comdata/raw_data/reddit_dumps/comments}"
SUBMISSIONS_DUMPDIR="${SUBMISSIONS_DUMPDIR:-/gscratch/comdata/raw_data/reddit_dumps/submissions}"
# Part 1 temp dirs (per-month parquets, parsed from .zst)
TEMP_COMMENTS="/gscratch/comdata/output/temp/add_months_comments.parquet"
TEMP_SUBMISSIONS="/gscratch/comdata/output/temp/add_months_submissions.parquet"
# Staging dirs (sorted new layer; inspected before copying to live)
STAGING_COMMENTS_SUB="/gscratch/comdata/output/temp/new_layer_comments_by_subreddit.parquet"
STAGING_COMMENTS_AUTH="/gscratch/comdata/output/temp/new_layer_comments_by_author.parquet"
STAGING_SUBMISSIONS_SUB="/gscratch/comdata/output/temp/new_layer_submissions_by_subreddit.parquet"
STAGING_SUBMISSIONS_AUTH="/gscratch/comdata/output/temp/new_layer_submissions_by_author.parquet"
# Live dataset dirs
LIVE_COMMENTS_SUB="/gscratch/comdata/output/reddit_comments_by_subreddit.parquet"
LIVE_COMMENTS_AUTH="/gscratch/comdata/output/reddit_comments_by_author.parquet"
LIVE_SUBMISSIONS_SUB="/gscratch/comdata/output/reddit_submissions_by_subreddit.parquet"
LIVE_SUBMISSIONS_AUTH="/gscratch/comdata/output/reddit_submissions_by_author.parquet"
# --- Part 1: parse new months in parallel -----------------------------------
printf "python3 comments_part1.py parse_dump RC_%s.zst --dumpdir=\"$COMMENTS_DUMPDIR\" --outdir=\"$TEMP_COMMENTS\"\n" "$@" \
> add_months_comments_tasks.txt
printf "python3 submissions_part1.py parse_dump RS_%s.zst --dumpdir=\"$SUBMISSIONS_DUMPDIR\" --outdir=\"$TEMP_SUBMISSIONS\"\n" "$@" \
> add_months_submissions_tasks.txt
parallel --joblog add_months_comments_joblog.txt --results add_months_comments_logs \
< add_months_comments_tasks.txt
parallel --joblog add_months_submissions_joblog.txt --results add_months_submissions_logs \
< add_months_submissions_tasks.txt
# --- Part 2: sort new months into staging (Spark, single fat node) ----------
source "$SPARK_CONF_DIR/spark-env.sh"
start_spark_cluster.sh
spark-submit --master "spark://$(hostname):$SPARK_MASTER_PORT" \
comments_part2.py \
--indir="$TEMP_COMMENTS" \
--out_by_subreddit="$STAGING_COMMENTS_SUB" \
--out_by_author="$STAGING_COMMENTS_AUTH"
spark-submit --master "spark://$(hostname):$SPARK_MASTER_PORT" \
submissions_part2.py \
--indir="$TEMP_SUBMISSIONS" \
--out_by_subreddit="$STAGING_SUBMISSIONS_SUB" \
--out_by_author="$STAGING_SUBMISSIONS_AUTH"
stop-all.sh
# --- Verify: inspect staging before copying to live -------------------------
#
# The script stops here. Check the staging output looks right before running
# the copy step manually. The live datasets are untouched at this point.
# Example checks:
#
# ls -lah "$STAGING_COMMENTS_SUB" | head
# python3 -c "
# import pyarrow.parquet as pq, os
# f = sorted(os.listdir('$STAGING_COMMENTS_SUB'))[0]
# t = pq.read_table('$STAGING_COMMENTS_SUB/' + f, columns=['created_utc'])
# print(t.column('created_utc')[0].as_py(), t.column('created_utc')[-1].as_py())
# "
exit 0
# --- Copy: add staging files into live datasets -----------------------------
#
# Run these lines manually after verifying staging. This is the only step
# that touches the live datasets. It only adds new files — existing files
# are never deleted or overwritten.
find "$STAGING_COMMENTS_SUB" -maxdepth 1 -type f -exec cp {} "$LIVE_COMMENTS_SUB"/ \;
find "$STAGING_COMMENTS_AUTH" -maxdepth 1 -type f -exec cp {} "$LIVE_COMMENTS_AUTH"/ \;
find "$STAGING_SUBMISSIONS_SUB" -maxdepth 1 -type f -exec cp {} "$LIVE_SUBMISSIONS_SUB"/ \;
find "$STAGING_SUBMISSIONS_AUTH" -maxdepth 1 -type f -exec cp {} "$LIVE_SUBMISSIONS_AUTH"/ \;
# --- Cleanup: remove temp and staging dirs ----------------------------------
#
# Run after confirming the copy succeeded and the live datasets look right.
rm -rf "$TEMP_COMMENTS" "$TEMP_SUBMISSIONS"
rm -rf "$STAGING_COMMENTS_SUB" "$STAGING_COMMENTS_AUTH"
rm -rf "$STAGING_SUBMISSIONS_SUB" "$STAGING_SUBMISSIONS_AUTH"