Python Scripts ​

Introduction ​

Python scripts are methods for analyzing data in GreptimeDB, by running it in the database directly instead of fetching all the data from the database and running it locally. This approach saves a lot of data transfer costs. The image below depicts how the script works. The RecordBatch (which is basically a column in a table with type and nullability metadata) can come from anywhere in the database, and the returned RecordBatch can be annotated in Python grammar to indicate its metadata, such as type or nullability. The script will do its best to convert the returned object to a RecordBatch, whether it is a Python list, a RecordBatch computed from parameters, or a constant (which is extended to the same length as the input arguments).

Two optional backends ​

CPython Backend powered by PyO3 ​

This backend is powered by PyO3, enabling the use of your favourite Python libraries (such as NumPy, Pandas, etc.) and allowing Conda to manage your Python environment.

But using it also involves some complications. You must set up the correct Python shared library, which can be a bit challenging. In general, you just need to install the python-dev package. However, if you are using Homebrew to install Python on macOS, you must create a proper soft link to Library/Frameworks/Python.framework. Detailed instructions on using PyO3 crate with different Python Version can be found here

Embedded RustPython Interpreter ​

An experiment python interpreter to run the coprocessor script, it supports Python 3.10 grammar. You can use all the very Python syntax, see User Guide/Python Coprocessor for more!