BigQuery datasets — api-dataset • bigrquery

Basic create-read-update-delete verbs for datasets.

Usage

bq_dataset_create(x, location = "US", ...)

bq_dataset_meta(x, fields = NULL)

bq_dataset_exists(x)

bq_dataset_update(x, ...)

bq_dataset_delete(x, delete_contents = FALSE)

bq_dataset_tables(x, page_size = 50, max_pages = Inf, warn = TRUE, ...)

Arguments

x: A bq_dataset
location: Dataset location
...: Additional arguments passed on to the underlying API call. snake_case names are automatically converted to camelCase.
fields: An optional field specification for partial response
delete_contents: If TRUE, will recursively delete all tables in the dataset. Set to FALSE by default for safety.
page_size: Number of items per page.
max_pages: Maximum number of pages to retrieve. Use Inf to retrieve all pages (this may take a long time!)
warn: If TRUE, warn when there are unretrieved pages.

Google BigQuery API documentation

Examples

if (FALSE) { # bq_testable()
ds <- bq_dataset(bq_test_project(), "dataset_api")
bq_dataset_exists(ds)

bq_dataset_create(ds)
bq_dataset_exists(ds)
str(bq_dataset_meta(ds))

bq_dataset_delete(ds)
bq_dataset_exists(ds)

# Use bq_test_dataset() to create a temporary dataset that will
# be automatically deleted
ds <- bq_test_dataset()
bq_table_create(bq_table(ds, "x1"))
bq_table_create(bq_table(ds, "x2"))
bq_table_create(bq_table(ds, "x3"))
bq_dataset_tables(ds)
}