Released v0.9.0 — 2026-10-07
Focus: Performance and correctness hardening.
• Materialized statistics CTE, hoisted casts, and partition pre-filtering cut file listing ~400×: 2,703 → 6.8 ms.
• UPDATE pushes predicates into Parquet; keyed DELETE reads only predicate columns (~10 based counts with delete files; one read per cold footer.
• Added DuckLake comments/tags, more object-store URL schemes, batch file registration, and snapshot metadata.
github.com/datafusion-con…
Focus: Performance and correctness hardening.
• Materialized statistics CTE, hoisted casts, and partition pre-filtering cut file listing ~400×: 2,703 → 6.8 ms.
• UPDATE pushes predicates into Parquet; keyed DELETE reads only predicate columns (~10 based counts with delete files; one read per cold footer.
• Added DuckLake comments/tags, more object-store URL schemes, batch file registration, and snapshot metadata.
github.com/datafusion-con…
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Here is the playlist of San Francisco DataFusion meetup.
Thanks to all the presenters from:
@LangChain @LakeSail @columnar_tech @datadoghq @hotdata_dev
youtube.com/playlist?list=…
cc: @andrewlamb1111 @ApacheDataFusio
Thanks to all the presenters from:
@LangChain @LakeSail @columnar_tech @datadoghq @hotdata_dev
youtube.com/playlist?list=…
cc: @andrewlamb1111 @ApacheDataFusio
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New features in the CLI: fork your database like a Git branch.
We’ve also added a dialect option to the query command, so you can run queries using DuckDB, Postgres, or Snowflake syntax.
We’ve also added a dialect option to the query command, so you can run queries using DuckDB, Postgres, or Snowflake syntax.
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