Re-Run a Stored Query by Name and Refresh Parquet — kagi_update

Update one query dataset by query_name using metadata written by kagi_request(). The function scans per-query metadata files under <project_folder>/<endpoint>/json/<query_name>/_query_meta.json, re-runs all matching query definitions, and refreshes only the touched parquet query partitions.

Usage

kagi_update_query(
  connection,
  project_folder,
  query_name,
  workers = 1,
  verbose = FALSE,
  error_mode = c("stop", "write_dummy")
)

Arguments

connection: A kagi_connection() object.
project_folder: Root project folder containing endpoint subfolders.
query_name: Query name to update (for example "query_1" or "biodiversity_main").
workers: Number of workers for request execution.
verbose: Logical indicating whether progress messages should be shown.
error_mode: Error handling mode passed to kagi_request(). One of "stop" or "write_dummy".

Value

Named list of normalized parquet output paths by updated endpoint.

Details

If the same query_name exists across multiple endpoints, all matching endpoints are updated.

Examples

if (FALSE) { # \dontrun{
kagi_update_query(
  connection = conn,
  project_folder = "kagi_project",
  query_name = "query_1"
)
} # }