Announcing Great Expectations v0.4 (We have SQL…!)
Based on feedback from the past month, we’ve revised, improved, and extended Great Expectations. 284 commits, 103 files changed, and 7 new contributors later, we’ve just released v0.4 ! Here’s what’s new. #1 Native SQL By far the most common request we received was the ability to run expectations natively in SQL. This was always on the roadmap. The community response made it our top priority. We’ve introduced a new class called SQLAlchemyDataset . It contains all* the same expectations as the original PandasDataset class, but instead of executing them against a DataFrame in local memory, it executes them against a database table using the SQLAlchemy core API. This gets us several wins, all at once: Since SQLAlchemy binds to most popular databases, we get immediate integration with all of those systems. We’ve already heard from teams developing against postgresql, Presto/Hive, and SQL Server. We expect to see lots more adoption on this front soon. Since ...