Real ChatGPT answer · index seed5X3Aa798RzUcompleteB2B software · data and analytics platformsinformational
Why are my Looker Liquid parameters breaking the SQL query performance and how do I rewrite them before the analytics review today
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Why are my Looker Liquid parameters breaking the SQL query performance and how do I rewrite them before the analytics review today
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
Looker Liquid parameters performance generated SQL templated filters parameter best practices official documentation Google ↗
Looker Liquid templated filters parameter syntax SQL performance persistent derived tables caching official docs Google ↗
- Derived tables in Looker | Google Cloud Documentation · docs.cloud.google.com
- Templated filters and Liquid parameters | Looker | Google Cloud Documentation · kbbacemq2vbfjm4ergkm4vmi2e.qer021.online
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Looker Liquid parameters performance generated SQL templated filters parameter best practices official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Looker Liquid templated filters parameter syntax SQL performance persistent derived tables caching official docs OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |