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zfarrell merged 1 commit into from
Feb 24, 2026
+13 −4
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chore(release): prepare v0.0.7 #76

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11 changes: 11 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -5,6 +5,16 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [0.0.7] - 2026-02-24

### Fixed
- Validate numeric metadata casts (footer_size, file_size_bytes) to prevent silent truncation
- Error on missing delete files instead of silent data corruption
- Harden path resolver against path traversal, null bytes, encoded slash bypass, and unicode edge cases
- Validate decimal type string parsing and precision/scale bounds
- Handle empty catalogs where data directory does not yet exist
- Reject column_id values exceeding i32 range

## [0.0.6] - 2026-02-13

### Added
Expand Down Expand Up @@ -66,6 +76,7 @@ Initial release.
- Filter pushdown to Parquet
- Query-scoped snapshot isolation

[0.0.7]: https://github.com/hotdata-dev/datafusion-ducklake/compare/v0.0.6...v0.0.7
[0.0.6]: https://github.com/hotdata-dev/datafusion-ducklake/compare/v0.0.5...v0.0.6
[0.0.5]: https://github.com/hotdata-dev/datafusion-ducklake/compare/v0.0.4...v0.0.5
[0.0.4]: https://github.com/hotdata-dev/datafusion-ducklake/compare/v0.0.3...v0.0.4
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2 changes: 1 addition & 1 deletion Cargo.lock
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2 changes: 1 addition & 1 deletion Cargo.toml
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Expand Up @@ -3,7 +3,7 @@ members = [".", "benchmark"]

[package]
name = "datafusion-ducklake"
version = "0.0.6"
version = "0.0.7"
edition = "2024"
authors = ["zac@hotdata.dev", "shefeek@hotdata.dev", "anoop@hotdata.dev"]
description = "DuckLake query engine for rust, built with datafusion."
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2 changes: 0 additions & 2 deletions README.md
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@@ -1,7 +1,5 @@
# DataFusion-DuckLake

**This is an early pre-release and very much a work in progress.**

A [DataFusion](https://datafusion.apache.org/) extension for querying [DuckLake](https://ducklake.select). DuckLake is an integrated data lake and catalog format that stores metadata in SQL databases and data as Parquet files on disk or object storage.

The goal of this project is to make DuckLake a first-class, Arrow-native lakehouse format inside DataFusion.
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