Apache Arrow 0.4.1 Release

Published 14 Jun 2017
By Wes McKinney (wesm)

The Apache Arrow team is pleased to announce the 0.4.1 release of the project. This is a bug fix release that addresses a regression with Decimal types in the Java implementation introduced in 0.4.0 (see ARROW-1091). There were a total of 31 resolved JIRAs.

See the Install Page to learn how to get the libraries for your platform.

Python Wheel Installers for Windows

Max Risuhin contributed fixes to enable binary wheel installers to be generated for Python 3.5 and 3.6. Thus, 0.4.1 is the first Arrow release for which PyArrow including bundled Apache Parquet support that can be installed with either conda or pip across the 3 major platforms: Linux, macOS, and Windows. Use one of:

pip install pyarrow
conda install pyarrow -c conda-forge

Turbodbc 2.0.0 with Apache Arrow Support

Turbodbc, a fast C++ ODBC interface with Python bindings, released version 2.0.0 including reading SQL result sets as Arrow record batches. The team used the PyArrow C++ API introduced in version 0.4.0 to construct pyarrow.Table objects inside the turbodbc library. Learn more in their documentation and install with one of:

pip install turbodbc
conda install turbodbc -c conda-forge