feat(notebooks): add block propagation by size analysis with regional breakdown #50
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Add new notebook analyzing block propagation timing relative to block size, with regional breakdown from two data sources: - Sentries: EthPandaOps libp2p gossipsub monitoring (~50-100 nodes) - Contributoor: Community beacon API collection (~875 nodes) Key features: - Corrected first seen timing (subtracts MEV winning bid time) - Size buckets for comparing propagation across block sizes - Regional CDF faceted by size bucket and builder type - Multi-database ClickHouse support for Contributoor queries New files: - notebooks/09-block-propagation-size.ipynb - queries/block_propagation_by_size.py - queries/block_propagation_contributoor.py
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@misilva73 tagging you so that you receive the preview URL that the bot will post shortly. |
Preview Deployment🚀 Preview is ready! URL: https://observatory-staging.ethp2p.dev/pr-50/ Updated: 2026-01-21T19:04:51.070Z |
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Summary
Adds a new notebook analyzing block propagation timing relative to block size, with regional breakdown from two data sources.
New notebook: Block propagation by size (
09-block-propagation-size)Analyzes how block size affects propagation timing, comparing MEV vs local blocks with corrected timing that isolates network propagation from block building overhead.
Key visualizations:
Regional data sources
Both sources provide per-region (EU, NA, AS, OC) timing data, enabling comparison of propagation patterns across geographic regions and infrastructure types.
New query modules
queries/block_propagation_by_size.pyqueries/block_propagation_contributoor.pyInfrastructure changes
scripts/fetch_data.pyget_client(database)function routes queries to appropriate hostdatabasefield in pipeline.yaml.github/workflows/sync.ymlCONTRIBUTOOR_CLICKHOUSE_*environment variables for Contributoor queriesTest plan
just fetch 2026-01-20fetches both regional datasetsjust render 2026-01-20renders notebook successfully