Dask: show streaming read/write in bucket integrations#2630
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The Dask section showed only a single-file read. Add the streaming write (the pandas section shows both), use directory paths for Dask's partition-per-file model, and link the canonical Dask guide. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019Fm1TL6E81bEVxEdMEkML9
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The Dask section under Bucket Integrations showed only a single-file read, while the neighbouring pandas section shows read + write. This:
to_parquetwrite🤖 Generated with Claude Code
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Low Risk
Documentation-only change with no runtime, API, or security impact.
Overview
Updates the Dask section in the bucket integrations doc so it matches how Dask is actually used with buckets and aligns better with the pandas example nearby.
Adds a short note that Dask reads/writes lazily with one partition per file, so large datasets can be processed from a bucket without loading everything into memory. The sample now uses directory
hf://buckets/...paths forread_parquetand includesto_parquetfor writing output, instead of a single-file read only. A link to Dask on the Hub points readers to the fuller guide.Reviewed by Cursor Bugbot for commit 9fafc0a. Bugbot is set up for automated code reviews on this repo. Configure here.