google-big-queryHow do I create a schema for Google BigQuery?

Creating a schema for Google BigQuery is easy and straightforward. The basic syntax is CREATE TABLE [table_name] (column_name data_type, column_name data_type, ...). To illustrate, here is an example of creating a table with three columns:

CREATE TABLE my_table (
  id INT64,
  name STRING,
  age INT64
);

The code above will create a table named my_table with three columns: id, name, and age. The data type for each column is specified after the column name.

You can also add additional options when creating a table. For example, you can specify the table's expiration time, its partitioning, and its clustering. Further details can be found in the Google BigQuery documentation.

For example, the following code creates a table that will expire in 7 days and is partitioned by date:

CREATE TABLE my_table (
  id INT64,
  name STRING,
  age INT64,
  date DATE
)
PARTITION BY date
EXPIRATION_TIME 7;

The code above will create a table named my_table with four columns: id, name, age, and date. The table will be partitioned by date and will expire in 7 days.

Creating a schema for Google BigQuery is easy and straightforward. The basic syntax is CREATE TABLE [table_name] (column_name data_type, column_name data_type, ...). You can also add additional options such as expiration time, partitioning, and clustering. Further details can be found in the Google BigQuery documentation.

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