INFORMATION_SCHEMA

Related topics

• INFORMATION_SCHEMA is part of BigQuery From the official documentation: “BigQuery `INFORMATION_SCHEMA` views let you retrieve metadata about your BigQuery objects.”
• GoogleSQL works with INFORMATION_SCHEMA From the official documentation: “BigQuery information schema views serve as an observability foundation, providing near real-time and historical metadata accessible through standard GoogleSQL queries.”
• INFORMATION_SCHEMA depends on GoogleSQL From the official documentation: “BigQuery `INFORMATION_SCHEMA` queries must be in GoogleSQL syntax. `INFORMATION_SCHEMA` does not support legacy SQL.”
• BigQuery works with Bigtable From the official documentation: “External BigQuery data source backed by Bigtable”
• clustered tables is part of BigQuery From the official documentation: “BigQuery supports clustering for both partitioned and non-partitioned tables.”
• BigQuery works with Spanner From the official documentation: “Reverse ETL (BigQuery to Spanner)”
• BigQuery works with GoogleSQL From the official documentation: “GoogleSQL is a query language used by multiple Google Cloud services, including Spanner and BigQuery.”
• GoogleSQL is part of Spanner From the official documentation: “When creating a Spanner database, you can choose between two SQL dialects: GoogleSQL and PostgreSQL.”
• Bigtable works with GoogleSQL From the official documentation: “**GoogleSQL**: a query language used by multiple Google Cloud services, including Spanner, BigQuery, and Bigtable.”
• clustered tables depends on GoogleSQL From the official documentation: “Only GoogleSQL is supported for querying clustered tables and for writing query results to clustered tables.”
• GoogleSQL works with Spanner From the official documentation: “GoogleSQL is a query language used by multiple Google Cloud services, including Spanner and BigQuery.”