Benjamin Mako Hill
2d1d760142
Add add_months.sh and merge_layers.sh implementing a layered append strategy for incremental dataset updates. Each incremental run appends new sorted partition files alongside existing ones rather than re-sorting the full corpus, which is prohibitively slow at this dataset scale. - dumps_helper.py: sort_and_write gains indir/mode params; new merge_layers function collapses accumulated layers via atomic rename - comments_part2.py, submissions_part2.py: expose --indir/--mode via Fire - add_months.sh: new layered append script (not yet tested) - merge_layers.sh: new layer collapse script (not yet tested) - comments_merge.py, submissions_merge.py: Spark entry points for merge - add_new_month.sh: deleted (full re-sort each add is redundant with build_from_scratch at corpus scale) - README.md: document three workflows; flag untested sections Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
15 lines
401 B
Python
15 lines
401 B
Python
#!/usr/bin/env python3
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"""Collapse all layers in the submissions final datasets into a single clean layer.
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Must be launched from a login node via the Hyak-provided wrapper:
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start_spark_and_run.sh 1 submissions_merge.py
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See merge_layers.sh and dumps_helper.merge_layers for details.
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"""
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from dumps_helper import SUBMISSIONS, merge_layers
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if __name__ == "__main__":
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merge_layers(SUBMISSIONS)
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