Book Image

Learn SQL Database Programming

By : Josephine Bush
5 (1)
Book Image

Learn SQL Database Programming

5 (1)
By: Josephine Bush

Overview of this book

SQL is a powerful querying language that's used to store, manipulate, and retrieve data, and it is one of the most popular languages used by developers to query and analyze data efficiently. If you're looking for a comprehensive introduction to SQL, Learn SQL Database Programming will help you to get up to speed with using SQL to streamline your work in no time. Starting with an overview of relational database management systems, this book will show you how to set up and use MySQL Workbench and design a database using practical examples. You'll also discover how to query and manipulate data with SQL programming using MySQL Workbench. As you advance, you’ll create a database, query single and multiple tables, and modify data using SQL querying. This SQL book covers advanced SQL techniques, including aggregate functions, flow control statements, error handling, and subqueries, and helps you process your data to present your findings. Finally, you’ll implement best practices for writing SQL and designing indexes and tables. By the end of this SQL programming book, you’ll have gained the confidence to use SQL queries to retrieve and manipulate data.
Table of Contents (24 chapters)
Section 1: Database Fundamentals
Section 2: Basic SQL Querying
Section 3: Advanced SQL Querying
Section 4: Presenting Your Findings
Section 5: SQL Best Practices

Chapter 7

  1. INNER, OUTER, cross, natural, and self joins.
  2. Returns only matching records from each joined table.
  3. dbname.tablename AS a
  4. LEFT, RIGHT, FULL, right excluding, and left excluding.
  5. Includes all rows from the right table that don't match records in the left table.
  6. Associates columns of the same name in the joined tables with each other. It's similar to an inner join or left outer join.
  7. It returns a combination of every row from two tables.
  8. UNION removes duplicates and UNION ALL doesn't.
  9. By using DISTINCT in SELECT clause and an INNER JOIN.
  10. By ensuring you use the indexes that are on the tables or by adding indexes to the tables.