How can I export SQL query results to YAML format?

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Asked By SunnyDaze23 On

I'm looking for some advice on exporting SQL query results to YAML. I'm aware that SSMS doesn't support this natively, and I'm curious if anyone has experience with this or can point me to resources or examples. The reason I'm interested in YAML is that I've heard it requires fewer tokens for processing with language models compared to JSON. I'd love to know if there are specific methods or tools you recommend for this. Thanks!

5 Answers

Answered By CodeCrusader42 On

YAML is actually a superset of JSON, so anything that reads YAML will also handle JSON fine. You might be able to just load your JSON and let the YAML reader take it from there if you're stuck.

Answered By TechWhiz99 On

It's interesting that you're looking to use YAML! Just a heads up, it's pretty rare to find ingestion points that accept YAML. If you really need it for something specific, maybe consider using JSON instead, since YAML can be a bit finicky with quoted strings. There are several YAML modules you can find, just search for them in the PowerShell Gallery.

Answered By SmartAnalytics83 On

Thanks for sharing your use case! Since LLMs count every comma and brace, I really get why you're leaning towards YAML. Just make sure when you're converting, you check how each format is being read. Using the modules available seems like a solid move to ensure efficiency. Good luck!

Answered By DataGuru75 On

I totally understand why you're looking for YAML over JSON for token count efficiency with LLMs. In that case, definitely check out some of those PowerShell YAML modules. You can use commands like ConvertFrom-Json and ConvertTo-Yaml to make the process easier. It sounds like you're up against a tough limit with those tokens!

Answered By QueryNinja56 On

Just a thought, but you might also consider exporting the SQL data to CSV as another option. YAML is more user-friendly for humans and DevOps, while JSON tends to be more suited for machine processing. Depending on your use case, CSV could be a lighter format as well.

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