Storing Data with BigQuery's INSERT INTO Syntax

BigQuery's INSERT INTO syntax is a powerful tool for storing data in BigQuery. It allows you to quickly and easily insert data into a BigQuery table, making it easier to store and analyze data. In this article, we'll take a look at how to use the INSERT INTO syntax to store data in BigQuery.

What is the INSERT INTO Syntax?

The INSERT INTO syntax is a SQL statement that allows you to insert data into a BigQuery table. It takes two arguments - the table name and the data to be inserted. The data to be inserted can be a single row or multiple rows. The syntax looks like this:

INSERT INTO table_name (column1, column2, ...)
VALUES (value1, value2, ...)

For example, if you wanted to insert a single row into a table called "users", the syntax would look like this:

INSERT INTO users (name, age, email)
VALUES ('John', 25, 'john@example.com')

If you wanted to insert multiple rows into the same table, the syntax would look like this:

INSERT INTO users (name, age, email)
VALUES
('John', 25, 'john@example.com'),
('Jane', 30, 'jane@example.com'),
('Bob', 35, 'bob@example.com')

Additional Info about INSERT INTO Syntax

The INSERT INTO syntax is a powerful tool for storing data in BigQuery. It allows you to quickly and easily insert data into a BigQuery table, making it easier to store and analyze data. It's important to note that the INSERT INTO syntax is specific to BigQuery. Other databases, such as MySQL and PostgreSQL, have their own syntax for inserting data.

If you want to learn more about the INSERT INTO syntax, you can check out the official documentation here.