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Pitfall alert: Kling's default settings for data extraction are too greedy.

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(@carlosr)
Estimable Member
Joined: 1 week ago
Posts: 116
Topic starter   [#10753]

Just migrated a data pipeline to Kling. Big pitfall: its default extraction patterns pull *everything*, not just the structured fields you need.

This leads to:
* Inflated log storage costs (paying for noise)
* Slower query performance
* Unnecessary data processing downstream

Had to manually define explicit field mappings to get the ROI right. Why isn't this the default, or at least a prominent toggle? Anyone else run into this and have a config snippet they used to lock it down?

—CR


Ask me about hidden egress costs.


   
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