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 15

  1. It helps to ensure your data is consistent, accurate, and in the right format.
  2. You must ensure that you name things accurately, descriptively, and at the same time avoiding keywords that will add any kind of confusion to the naming. You must avoid adding spaces in the names, choose the right case, and stick to one convention. You should make sure that you use only permitted characters when naming a database object.
  3. If the data type is too large, it takes up too much space on disk. If the data type is too small, then it doesn't fit your data.
  4. There is no right number of indexes on a table or columns in your indexes. Generally speaking, too few or too many indexes can make the performance of your database worse. This is why it's important to know what queries are being executed on the table to understand best what would help the performance.
  1. The EXPLAIN keyword...