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refactor datasets/ pipeline; add build/add-month workflows

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Replace the four per-type scripts (comments/submissions x part1/part2)
with two merged scripts that share all of their plumbing — only the
schema and JSON parser differ between types. Drop the per-source part
rolling; one parquet per input zst, since Spark handles big parquet
files via internal row groups.

Add two thin runner scripts for the two common workflows:
build_from_scratch.sh wipes the temp dirs and processes everything,
add_new_month.sh takes YYYY-MM and parses just that month before
re-running the Spark sort. Every step in the runners is a separate
command so individual stages can be copied out and run standalone
for debugging.

Also fixes several lurking bugs in the original code: the hardcoded
/gscratch/comdata/users/nathante/ output path in comments Part 2;
the df2 = df.sortWithinPartitions typo in submissions Part 2 that
threw away the preceding global sort; references to a missing
parse_submissions.sh in the old .sh runners; and the asymmetry where
comments_2_parquet_part1.py wasn't per-file/fire-driven the way
submissions_2_parquet_part1.py was.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Mako Hill
2026-05-25 16:30:54 -07:00
parent d201930951
commit 8965a251b6
12 changed files with 485 additions and 327 deletions
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4
datasets/job_script.sh
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@@ -1,4 +0,0 @@
#!/usr/bin/bash
start_spark_cluster.sh
spark-submit --master spark://$(hostname):18899 weekly_cosine_similarities.py term --outfile=/gscratch/comdata/users/nathante/subreddit_term_similarity_weekly_5000.parquet --topN=5000
stop-all.sh