Multithreading and Concurrent Usage Limitations | Teradata Package for Python - Multithreading and Concurrent Usage Limitations - Teradata Package for Python

Teradata® Package for Python User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
December 2024
ft:locale
en-US
ft:lastEdition
2025-01-23
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nvi1706202040305.ditamap
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plt1683835213376.ditaval
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rkb1531260709148
lifecycle
latest
Product Category
Teradata Vantage

The Teradata Package for Python does not support multithreading and concurrent usage of the following operations:

  • Analytic functions for model creations

    For example, calling an analytic function, such as glm, kmeans and so forth, from multiple threads by passing different functional parameters to the same API in each thread.

  • Analytic functions for prediction

    For example, calling an analytic predict function, such as glmpredict, from multiple threads by passing different functional parameters to the same API in each thread.

  • Transformations of data frames

    For example, performing transformation on the same teradataml DataFrame from multiple threads.