INFORMATION_SCHEMA is a series of views that present entry to metadata about datasets, routines, tables, views, jobs, reservations, and streaming data. // printDatasetInfo demonstrates fetching dataset metadata and printing some of it to an io.Writer. Enter the following command to show information about an nameless dataset,_1234abcd56efgh78ijkl1234 in your default project. To present Check information about an nameless dataset, use the bq ls –allcommand to record all datasets and then use the name of the anonymous dataset in the bq present command. By default, nameless datasetsare hidden from the Cloud Console. To present information about anonymous datasets, use the bq command-line device or the API.
Cloud Functions Platform for creating features that reply to cloud occasions. Secret Manager Store API keys, passwords, certificates, and other delicate Check knowledge. Cloud Data Loss Prevention Sensitive information inspection, classification, and redaction platform.
This document describes tips on how to get info or metadata about datasets in BigQuery. Archival Storage Data archive that gives Check online access velocity at extremely low value.
Virtual Private Cloud Virtual network for Google Cloud assets and cloud-based mostly providers. Cloud NAT NAT service for giving personal instances web access. Transfer Service Data transfers from online and on-premises sources to Cloud Storage. Transfer Appliance Storage server for moving Check massive volumes of knowledge to Google Cloud. Cloud Data Transfer Tools and services for transferring your data to Google Cloud. Application Migration App migration to the cloud for low-cost refresh cycles. Cloud SQL Fully managed database for MySQL, PostgreSQL, and SQL Server.
When you question the INFORMATION_SCHEMA.SCHEMATA_OPTIONS view, the question outcomes include one row for each possibility of each dataset in a project to which the current person has access. The following example retrieves all columns from theINFORMATION_SCHEMA.SCHEMATA view aside Check from schema_owner which is reserved for future use. The metadata returned is for all datasets within the default project — myproject. When you question the INFORMATION_SCHEMA.SCHEMATA view, the query outcomes include one row for each dataset in a project to which the present consumer has access.