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

Lake - Analyze Your Data with ClearScape Analytics™

Deployment
VantageCloud
Edition
Lake
Product
Teradata VantageCloud Lake
Release Number
Published
February 2025
ft:locale
en-US
ft:lastEdition
2026-02-20
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tcl1683670667798.ditamap
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pny1626732985837.ditaval
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tcl1683670667798

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.