Using Relational Operators
IN THIS CHAPTER
Combining tables with similar structures
Combining tables with different structures
Deriving meaningful data from multiple tables
You probably know by now that SQL is a query language for relational databases. In previous chapters, I present simple databases, and in most cases, my examples deal with only one table. In this chapter, I put the relational in “relational database.” After all, the name means “a database that consists of multiple related tables.” Here’s where you finally see those relationships.
Because the data in a relational database is distributed across multiple tables, a query usually draws data from more than one table. SQL has operators that combine data from multiple sources into a single result set. These are the
EXCEPT operators, as well as a family of
JOIN operators. Each operator combines data from multiple tables in a different way.
UNION operator is the SQL implementation of relational algebra's union operator. The
UNION operator enables you to draw information from two or more tables that have the same structure. Same structure means
- The tables must all have the ...