SQL queries always start with a keyword that specifies the action you want to perform, such as SELECT, INSERT, UPDATE, or DELETE. This keyword initiates the command and tells the database what to do.
SQL, or Structured Query Language, is a powerful tool for managing and manipulating data in relational databases. Every SQL statement begins with a command keyword. This keyword is crucial because it tells the database management system (DBMS) what operation to execute. Different keywords are used for different tasks. For instance, if you want to retrieve data, you'll use the `SELECT` keyword. If you want to add new data, you'll use `INSERT`. Understanding these keywords is fundamental to writing effective and efficient SQL queries. The keyword acts as the instruction to the database, and the rest of the statement provides the details of the instruction. For example, `SELECT * FROM Customers` tells the database to retrieve all data from the 'Customers' table. The `SELECT` keyword is the command, and `* FROM Customers` specifies the target table and the data to retrieve. This structure is consistent across all SQL commands.
Knowing how SQL queries begin is fundamental. It's the first step in crafting any SQL statement. Without the correct keyword, the database won't understand what you want to do with the data.
The opening keyword—such as SELECT
, INSERT
, or UPDATE
—tells the database management system exactly what operation to perform. Without the correct keyword, the DBMS cannot interpret the rest of the statement. Mastering this “verb” of the query ensures your instructions are executed accurately and efficiently.
SELECT
instead of INSERT
?SELECT
is used to retrieve existing data from a table (e.g., SELECT * FROM Customers
), whereas INSERT
adds new rows to a table (e.g., INSERT INTO Customers (Name, Email) VALUES ('Ada','ada@example.com')
). In short, use SELECT
for reading data and INSERT
for writing new data.
Galaxy’s context-aware AI copilot autocompletes commands, flags incorrect keywords, and even refactors queries when your schema changes. This real-time guidance helps developers choose the right starting keyword and write syntactically correct SQL faster, reducing errors and boosting productivity.