These submit a query (using bq_perform_query()) and then wait for it complete (with bq_job_wait()). All BigQuery queries save their results into a table (temporary or otherwise), so these functions return a bq_table
destination_table: A bq_table where results should be stored. If not supplied, results will be saved to a temporary table that lives in a special dataset. You must supply this parameter for large queries (> 128 MB compressed).
...: Passed on to bq_perform_query()
quiet: If FALSE, displays progress bar; if TRUE is silent; if NA picks based on whether or not you're in an interactive context.
billing: If you query a dataset that you only have read access for, such as a public dataset, you must also submit a billing project.
Returns
A bq_table
Examples
# Querying a project requires full name in querytb <- bq_project_query( bq_test_project(),"SELECT count(*) FROM publicdata.samples.natality")bq_table_fields(tb)bq_table_download(tb)# Querying a dataset sets default dataset so you can use bare table name,# but for public data, you'll need to set a project to bill.ds <- bq_dataset("publicdata","samples")tb <- bq_dataset_query(ds, query ="SELECT count(*) FROM natality", billing = bq_test_project())bq_table_download(tb)tb <- bq_dataset_query(ds, query ="SELECT count(*) FROM natality WHERE state = @state", parameters = list(state ="KS"), billing = bq_test_project())bq_table_download(tb)