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Specifying a schema | BigQuery | Google Cloud

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BigQuery lets you specify a table's schema when you load data into a table, and when you create an empty table. Alternatively, you can use schema auto-detection for supported data formats. When you load Avro, Parquet, ORC, Firestore export files, or Datastore export files, the schema is automatically retrieved from the self-describing source data. You can specify a table's schema in the following ways: After loading data or creating an empty table, you can modify the table's schema definition. When you specify a table schema, you must supply each column's name and data type. You can also supply a column's description, mode, and default value. A column name can contain the letters (a-z, A-Z), numbers (0-9), or underscores (_), and it must start with a letter or underscore. For more flexible column name support, see flexible column names. Column names have a maximum length of 300 characters. Column names can't use any of the following prefixes: Duplicate column names are not allowed even

Home Documentation Data analytics BigQuery Guides Send feedback Stay organized with collections Save and categorize content based on your preferences. Specifying a schema BigQuery lets you specify a table's schema when you load data into a table, and when you create an empty table. Alternatively, you can use schema auto-detection for supported data formats. When you load Avro, Parquet, ORC, Firestore export files, or Datastore export files, the schema is automatically retrieved from the self-describing source data. You can specify a table's schema in the following ways: Use the Google Cloud co

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