dbt Core: dbt 0.10.1
dbt Core v0.10.1. Source highlight: This release focuses on achieving functional parity between all of dbt's adapters. With this release, most dbt functionality should work on every adapter except where noted here.
381 tracked entries. Older history is imported progressively; see source coverage.
dbt Core v0.10.1. Source highlight: This release focuses on achieving functional parity between all of dbt's adapters. With this release, most dbt functionality should work on every adapter except where noted here.
dbt Core v0.10.0. Source highlight: This release overhauls dbt's package management functionality, makes seeding csv files work across all adapters, and adds date partitioning support for BigQuery.
dbt Core v0.9.1. Source highlight: This release fixes some bugs and adds supports for late binding views on Redshift.
dbt Core v0.9.0. Source highlight: This release focuses on improvements to macros, materializations, and package management. Check out the blog post to learn more about what's possible in this new version of dbt.
dbt Core v0.8.3. Source highlight: Check out the release notes here
dbt Core v0.8.2. Source highlight: Check out the release notes here
dbt Core v0.8.1. Source highlight: Check out the release notes here
dbt Core v0.8.0. Source highlight: Check out the release notes here
dbt Core v0.7.1. Source highlight: Check out the release notes here
dbt Core v0.7.0. Source highlight: Check out the release notes here
dbt Core v0.6.2. Source highlight: Check out the release notes here
dbt Core v0.6.1. Source highlight: Check out the release notes here
dbt Core v0.6.0. Source highlight: Check out the release notes here
dbt Core v0.5.4. Source highlight: added support for custom SQL data tests
dbt Core v0.5.3. Source highlight: Fixes regressions introduced in 0.5.1 and 0.5.2.
dbt Core 0.5.2. Source highlight: Patch release fixing a bug that arises when profiles are overridden on the command line with the `--profile` flag.
dbt Core v0.5.1. Source highlight: Raiders of the Lost Archive -- version your raw data to make historical queries more accurate
dbt Core v0.5.0. Source highlight: use a temp table when executing incremental models
dbt Core v0.4.7. Source highlight: pre- and post- run hooks
dbt Core 0.4.1. Source highlight: dbt v0.4.1 provides improvements to incremental models, performance improvements, and ssh support for db connections.
dbt Core v0.4.0. Source highlight: dbt v0.4.0 provides new ways to materialize models in your database.
dbt Core 0.3.0. Source highlight: Version 0.3.0 comes with the following updates:
dbt Core v0.2.3.0. Source highlight: Version 0.2.3.0 of dbt comes with the following updates:
Apache Airflow 1.7.0. Source highlight: for the record, generated with:
Apache Airflow 1.6.2. Source highlight: `1.6.2` is mostly a release with bug fixes and a few relatively minor features. Thanks to all contributors!
Apache Airflow 1.6.1 is published, but the available notes are too limited to assess upgrade impact. Review the official source before upgrading.
Apache Airflow 1.6.0. Source highlight: [scheduler] the notion of DAG runs allows for more parallelization, and controls around scheduling (max number of running task instance per DAG, max number of DAG runs to be evaluated for scheduling, ...)
Apache Airflow 1.5.2. Source highlight: This is probably missing some important items, but most of it should be captured
Apache Airflow 1.5.1 is published, but the available notes are too limited to assess upgrade impact. Review the official source before upgrading.
Apache Airflow 1.5.0. Source highlight: v1.5.0 is a huge release. Tons of important features.
Apache Airflow 1.4.0. Source highlight: Python3 compatibility improvements