bq_test_project: Project to use for testing bigrquery
In wilpoole-essence/bigrquery: An Interface to Google's 'BigQuery' 'API'

Description Usage Arguments Value Testing Examples

You'll need to set up the BIGQUERY_TEST_PROJECT (name of a project) and BIGQUERY_TEST_PROJECT (name of bucket) env vars in order to run bigrquery tests locally. I recommend creating a new project because the tests involve both reading and writing in BigQuery and CloudStorage.

You will also need to have billing billing enabled for the project, and to run bq_test_init() once.

bq_test_project()

bq_test_init(name = "basedata")

bq_test_dataset(name = random_name())

bq_testable()

bq_authable()

gs_test_bucket()

gs_test_object(name = random_name())

name

Dataset name - used only for testing.

bq_test_project() returns the name of a project suitable for use in testing. bq_test_dataset() creates a temporary dataset who's lifetime is tied to the lifetime of the object that it returns.

In tests, bq_test_project() (and hence bq_test_dataset()) will automatically skip if auth and a test project are not available.

if (bq_testable()) {
  ds <- bq_test_dataset()
  bq_mtcars <- bq_table_upload(bq_table(ds, "mtcars"), mtcars)

  # dataset and table will be automatically deleted when ds is GC'd
}