data360-query

To run SQL queries against Salesforce Data Cloud, you can execute quick counts, paginated queries, and async query lifecycles, provided you have the Salesforce Data Cloud CLI plugin installed and correct SQL quoting applied.

Yes, you can inspect table schemas in Data Cloud using the table describe functionality, which helps you validate field names and avoid invalid assumptions or syntax errors before executing your SQL queries.

Data Cloud supports both vector search and prefiltered hybrid search capabilities, allowing you to perform semantic retrieval and search-index lifecycle tasks directly within Data Cloud-enabled orgs when an index is available.

The best way to avoid syntax errors when querying Data Cloud objects is to perform readiness checks, describe your target tables to verify schema details, and ensure you apply the correct Data Cloud SQL quoting format required by the CLI plugin.

Yes, you need the Salesforce Data Cloud CLI plugin installed in your Data Cloud-enabled org to execute readiness checks, manage search-index lifecycle tasks, and perform vector or hybrid search operations.

You should use async query workflows instead of standard SQL counts when processing large result sets in Data Cloud, allowing you to manage longer-running query lifecycles efficiently without timing out your retrieval operations.