Tecton

v0.2, removed @inlined, job retry status

  • Derek Salama
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Published: December 13, 2021
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Tecton SDK v0.2 and beta releases

Tecton is introducing a new SDK versioning and release process, starting with the v0.2 release. This new process aims to improve the reliability of our SDK for production applications by creating separate stable and beta releases. If you don’t specify a version, you’ll automatically get our latest stable release. See the client release notes for more detail.

Removed @inlined requirement for Python functions

Python functions can be defined for use in your Tecton feature repository, such as for defining a data source translator, or for use in a feature transformation. Previously these functions had to be annotated @inlined, but now those functions can be referenced without any additional steps.

This change is available starting with SDK version 0.1.20.

Job retry status in Web UI

Tecton now shows additional information about the retry status for a job on the Feature View Materialization and Jobs pages. If Tecton is going to retry the materialization job, then this page will now show the time until retry. Alternatively, it will show that no more retries will be attempted.

Screenshot showing job retry status

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Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

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Contact Sales

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

CTA button

Request a free trial

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

CTA button