v0.7.4

🐛 Fixes

• Resolves issue where mixed-case stream properties would result in missing data (#114)
• Resolves issue where loads would fail if records contained conflicting data types (#67)
• Fixes an issue where array types would fail to parse if the subtype definition was invalid (#113)

⚙️ Under the hood

• Cleans up public-facing API (#109)
• Removes dependency on PyArrow, resulting in reduced errors and faster read speeds (#67)

📘 Documentation Updates

• New and improved API Reference Docs (#109)
• Adds usage samples for each cache option, including Snowflake, DuckDB, Postgres, BigQuery, and MotherDuck (#112)

v0.7.3

🐛 Fixes

• Resolve Python 3.9 compatibility issues (#98)

⚙️ Under the Hood

• Expand CI test matrix to include Python 3.9 and 3.11 (#98)
• Loosen version requirements to better match Colab defaults (#97)

v0.7.2

⚙️ Under the Hood

• Refactor anonymous usage stats, ensure errors and record counts are properly reported (#62)

v0.7.1

🐛 Fixes

• Resolve issue where method to_sql_table() fails if called from a cached dataset (#76)

v0.7.0

✨ New Features

• Add support for rendering records as LLM documents (#48)
• Add BigQuery cache support (#65)

🐛 Fixes

• Fix IPython rendering bug when using a TTY (#65)
• Fixed ability to pass streams list within get_source()(#71)

v0.6.0

Note: This may be a breaking change due to the downgrade in our underlying DuckDB version used in cache creation. Read below for more information.

✨ New Features

• Add MotherDuck cache support 🦆 (#43)

⚙️ Under the Hood

• Downgraded from DuckDB v0.10.0 to v0.9.2. This may require you to rebuild your local cache files. See the DuckDB v0.10.0 blog post for information on backwards and forwards DuckDB compatibility between versions.

v0.5.0

✨ New Features:

• Streamline stream selection and support for select_streams("*") (#52)
• Replace Parquet File Writer with Gzipped Jsonl File Writer (#60)
• Combine CacheConfig into the Cache classes to reduce number of import statements needed (#59)

🐛 Fixes

• Resolved issues where empty data nodes would cause failure when writing to Parquet (#60)

✍️ Docs:

• Replace changelog link with link to GitHub Releases (#47)

v0.4.0

(This is a maintenance release. Please see v0.5.0 release notes for the combined changelog of v0.4.0 and v0.5.0.)

v0.2.0

Project codename "AirbyteLib" is now PyAirbyte! 🎉

You can install PyAirbyte with:

pip install airbyte

And import PyAirbyte as:

import airbyte

Or using our shorthand convention:

import airbyte as ab

Star our new PyAirbyte GitHub repo and follow release notifications on GitHub for updates.

❗Breaking Changes

• Project codename "AirbyteLib" is now PyAirbyte! 🎉
  • To install: pip install airbyte
  • To import: import airbyte or import airbyte as ab
  • For a full list of changes, see the PR: #40

🚀 New Features

• Add support for JSON and VARIANT data types (airbytehq/airbyte#35298)
• The get_secret() function now supports dotenv (.env) files (airbytehq/airbyte#35244)

🐛 Bug Fixes

• Fix issue where No-Such-Table-Error is raised if a stream sends zero records (airbytehq/airbyte#35311)
• Suppress DuckDB reflection warnings (airbytehq/airbyte#35300)
• Improve JSON Schema type detection and reduce warnings of unknown types

✍️ Documentation Updates

• Docs: Clean up auto-generated reference docs (#46)
• New reference docs home: https://airbytehq.github.io/PyAirbyte

🔎 Full Changelog

v0.1.0...v0.2.0

v0.1.0

Full Changelog: https://github.com/airbytehq/PyAirbyte/commits/v0.1.0