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Author SHA1 Message Date
33150243cd datasets/: split parquet scripts; share logic in dumps_helper.py
Follows the helper-module pattern used in similarities/. Replaces
parquet_part1.py and parquet_part2.py (the merged single-file versions
from the previous commit) with:

- dumps_helper.py — schemas, simdjson parser, a generic parse_record
  loop with per-field handler dispatch, and parse_dump / gen_task_list
  / sort_and_write workers. The only per-type code is the field-handler
  dicts and the type-config dicts (COMMENTS, SUBMISSIONS) at the top.
- comments_part1.py, submissions_part1.py — thin Part 1 entry points
  with fire CLIs (parse_dump, gen_task_list).
- comments_part2.py, submissions_part2.py — thin Part 2 entry points
  for the Spark sort. pyspark is imported lazily inside sort_and_write
  so Part 1 callers don't pay the import cost.

Unifies on simdjson for both types (drops the json import), which is
faster on the comments dumps. Field-handler dicts make adding a new
type or field a one-place edit.

Also fixes a latent bug in the original: the FIELDS lists didn't
include time_edited (only the schema did), so error-path rows were
short by one element vs. the schema and would have failed pandas /
pyarrow alignment for any row that hit a JSON parse error. The new
FIELDS lists match the schemas exactly, and the _edited handler
returns a (edited, time_edited) tuple that the generic parse loop
expands.

Runners and README updated for the new CLIs.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-25 16:51:41 -07:00
8965a251b6 refactor datasets/ pipeline; add build/add-month workflows
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>
2026-05-25 16:30:54 -07:00