dai.create_dataset_from_bigquery.Rd
Import a dataset using BigQuery Query.
dai.create_dataset_from_bigquery( dataset_id, destination, query, project = "", location = "", progress = getOption("dai.progress", TRUE) )
dataset_id | Name of BQ Dataset to use for tmp tables |
---|---|
destination | destination filepath within GCS (gs://<bucket>/<file.csv>) |
query | SQL query to pass to BQ |
progress | Whether to display a progress bar. |
DAIFrame
representing the dataset.
Find more details about how to enable data connectors in the documentation.
# \donttest{ data <- dai.create_dataset_from_bigquery('h2o_bigquery_demo', 'gs://h2o-bq-large-dataset/unit_test.csv', 'SELECT * FROM h2o_bigquery_demo.cc_train') # }