Tags give the ability to mark specific points in history as being important
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v1.0.3
12921e46 · ·v1.0.3 Changes: * Ignore errors on clean-up when exiting temporary directory. * Only for newer versions of Python (>= 3.10). Under the hood: * Don't trigger CI on __vesion__.py bumps. * README typos. -
v1.0.2
333345d0 · ·v1.0.2 Changes * fix: Re-add dbt adapters to dependencies to support extras installation
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v1.0.0
cf6156a4 · ·v1.0.0 The big one, *airflow-dbt-python* has been running in production systems for so long it can be considered stable software. Development forward will expand upon the interfaces defined as of this tag.
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v1.0.0b2
81e947cb · ·v1.0.0b2 Changes: * feat: Provide env_vars to update environment variables * chore(ci): Only run CI on .py file changes
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v1.0.0b1
6d90181a · ·v1.0.0b1 Changes: * Do not read artifact files that don't exist, but log a warning instead. * Add tests for a git-remote DAG. * Add tests for DAG used in README. * Update README and documentation. * Update CI versions. * Clear up test state to allow tests to be run more than once.
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v1.0.0b0
64751042 · ·v1.0.0b0 Changes: * airflow-dbt-python operators no longer handle temporary directories. * airflow-dbt-python operators should be about defining what to execute, not how. * airflow-dbt-python hooks are the ones that should worry about setting up directories. * This significantly reduces the complexity in operators. * Refactored the dbt remote interface (previously dbt backends). * The interface has been simplified to two methods: upload and download. * Now utilizes a more specific URL class for all URL-like arguments. * All dbt remotes are now hooks too, which means they can use Airflow Connections. * Implemented a new DbtRemoteGitHook to utilize git repositories as remotes. * tar file is a new supported archive format for dbt projects. * Moved dbt configurations to the utilities module. * dbt configurations are a wrapper to dbt. They exist purely because dbt doesn't have a formalized API outside the CLI. * Once dbt as a library moves along (see dbt-core as a library dbt-labs/dbt-core#6356), we may drop all of these configurations. * Much better understanding of how dbt logs things (as in, we now don't log things multiple times). * Support for Python 3.11. * Updated documentation. Breaking changes: * Dropped support for Airflow major version 1. * It required too much work to maintain, and AWS MWAA has offered Airflow >= 2.x for a while now.
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v0.15.3
b8705f78 · ·v0.15.3 * fix: Conditional import for different dbt exceptions To support dbt v1.4.1 which changed the name of an exception class.
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v0.15.2
80c9becf · ·v0.15.2 A small but very significant patch that significantly improves performance when instantiating new operators by removing unnecessary heavy imports.
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v0.15.1
ce6d6ece · ·v0.15.1 Release Greatly improve DagBag processing time by moving top level imports. Minor documentation fixes, pre-commit hook updates.
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