bigrquery (version 1.4.2)

api-dataset: BigQuery datasets

Description

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

• get

• insert

• delete

• list

Examples

if (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)
}