What is PL/SQL by FAT 86
Q: What is PL/SQL?
A: PL/SQL is a procedural language used to extend the capabilities of SQL. It is used to write stored procedures, functions, triggers, and packages in Oracle Database.
Q: What are the advantages of using PL/SQL?
A: PL/SQL provides many advantages such as it enhances the performance and scalability of SQL, provides a way to encapsulate business logic in the database, allows for the creation of reusable code, provides better security and data integrity, and supports error handling.
Q: What are the basic components of PL/SQL?
A: The basic components of PL/SQL are variables, data types, control structures (if-then, loops), and subprograms (procedures and functions).
Q: What is a stored procedure?
A: A stored procedure is a PL/SQL subprogram that is stored in the database and can be executed by a user or application. It is typically used to encapsulate a set of SQL statements and business logic, and can be used to perform complex database operations.
Q: What is a trigger?
A: A trigger is a PL/SQL program that is automatically executed in response to a specific event occurring in the database, such as the insertion, deletion, or update of a record in a table.
Q: What is a package?
A: A package is a collection of related procedures, functions, variables, and other PL/SQL components that are stored together in the database. Packages provide a way to organize and encapsulate code, and can be used to share code across multiple applications.
Q: What are the data types supported in PL/SQL?
A: PL/SQL supports a variety of data types, including numbers, characters, dates, booleans, and LOBs (large objects).
Q: How can I debug PL/SQL code?
A: PL/SQL provides a number of debugging tools, including the DBMS_OUTPUT.PUT_LINE procedure, which can be used to output debug information to the console, and the DBMS_DEBUG package, which provides more advanced debugging capabilities.
Q: How can I optimize the performance of my PL/SQL code?
A: There are many ways to optimize the performance of PL/SQL code, such as minimizing the number of database round-trips, using bulk operations, and optimizing queries. It is also important to use the appropriate data types and to avoid unnecessary processing and calculations.