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Could someone explain how to write custom data validation rules using Great Expectations tests for a database containing antique book inventory records?

ChatGPTgpt-61 query10/31/2026
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Could someone explain how to write custom data validation rules using Great Expectations tests for a database containing antique book inventory records?
1 real search · 1 real-search pass
Great Expectations custom expectations guide custom SQL expectation current documentation GX CoreGoogle ↗
OBSERVEDOther / navigational

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

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Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

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Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT1 real searches · gpt-6
Great Expectations custom expectations guide custom SQL expectation current documentation GX Core Google ↗
  1. GX Core overview · docs.greatexpectations.io
  2. Try GX Core · docs.greatexpectations.io
  3. How to develop a custom expectation and register like default expectations - GX Core Support · discourse.greatexpectations.io
  4. Create and manage Custom Expectations · docs.greatexpectations.io

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Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Great Expectations custom expectations guide custom SQL expectation current documentation GX Core
OBSERVED
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—Other / navigational——1x
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