Can you explain why our Great Expectations data test suite runs so slowly and how to speed it up?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can you explain why our Great Expectations data test suite runs so slowly and how to speed it up?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Great Expectations documentation performance SQLAlchemy execution engine batch validation result_format unexpected rows performance Google ↗
Great Expectations documentation SQL datasource batching SQL query validation performance Google ↗
- GX does not move or change your data · greatexpectations.io
- Great Expectations and Data Control Explained · greatexpectations.io
- Use SQL to define a custom Expectation · docs.greatexpectations.io
- UnexpectedRowsExpectation · greatexpectations.io
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Great Expectations documentation performance SQLAlchemy execution engine batch validation result_format unexpected rows performance OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Great Expectations documentation SQL datasource batching SQL query validation performance OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |