How do I handle nested json columns when setting up hightouch syncs to our customer success tool without losing data fidelity
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I handle nested json columns when setting up hightouch syncs to our customer success tool without losing data fidelity
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.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Hightouch documentation JSON columns nested objects arrays sync destination mapping JSON data types Google ↗
Hightouch docs SQL model JSON flatten nested fields sync customer success platform Google ↗
- Field mapping · hightouch.com
- Field mapping · hightouch.work
- Data types and casting · hightouch.work
- Plan your data model · hightouch.work
- Syncs overview · hightouch.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Hightouch documentation JSON columns nested objects arrays sync destination mapping JSON data types OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Hightouch docs SQL model JSON flatten nested fields sync customer success platform OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |