Skip to main content

Hive UDF (user defined functions)

Project description

hive-udf

Hive UDF (user-defined functions) in Python.

This package provides a single function make_udf for working with Hive UDF written in Python.

Some test code is included, along with several example UDF modules, which are used in the tests. The user is recommended to run these tests in their Hive setup to confirm that things work as expected.

Status

Production ready and stable (hardly needs any changes).

Quick start

Install hive-udf via pip:

$ pip install hive-udf

Suppose you have a Hive UDF as Python module mypackage.udfs.udf, then insert this UDF into your HiveQL statement as follows

from hive_udf import make_udf
import mypackage.udfs.udf

s = make_udf(mypackage.udfs.udf)

sql = f"""
    SELECT
        TRANSFORM ( ...input_columns... )
        USING '{s}'
        AS (...output_columns...)
    FROM {db_name}.{table_name}
    WHERE ...

Then use sql in your Hive client Python code. Some Hive client packages exist, including PyHive, pyodbc, turbodbc, and impyla.

Please see the source code for documentation.

This blog post describes how the code arrived at the current shape after addressing multiple very tricky problems. If you want to understand the code, please read this post.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hive_udf-1.1.4.tar.gz (8.3 kB view hashes)

Uploaded Source

Built Distribution

hive_udf-1.1.4-py3-none-any.whl (9.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page