What is a Cross Join?

Cross joins are one of the more straightforward join types in SQL, but they’re also one of the most misunderstood and potentially dangerous if used carelessly. Understanding when and how to use them properly can help you solve certain data problems efficiently while avoiding performance disasters.

A cross join returns the Cartesian product of two tables. This means that it combines every row from the first table with every row from the second table. If you have 10 rows in one table and 5 rows in another, you might immediately assume that it will return 15 rows. But you’d be wrong. A cross join will return 50 rows. No join condition in the ON clause. Just every possible combination of rows.

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What is a Self Join?

When working with SQL databases, you’ll sometimes encounter scenarios where the data you need to compare or relate exists in the same table. Typical examples of this include employees who manage other employees, tasks that depend on other tasks, or categories nested within categories. These situations call for a specific querying approach called a self join.

A self join is a technique that lets you compare and relate rows within a single table. This makes them perfect for working with hierarchical data, finding relationships between records, and solving a wide range of queries that would otherwise be difficult or impossible with standard joins alone.

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JOIN ON vs USING vs NATURAL JOIN: What’s the Difference?

Probably the most common way to join tables in SQL is with the ON clause. But that’s not the only way.

We can also join with the USING clause, which can be more concise, while providing the same or similar results. And there’s also the concept of a natural join, which is more concise again.

Let’s take a look at these three join options and compare them side by side.

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SQL Joins with the USING Clause: How It Compares to the ON Clause

Perhaps one of the lesser-known clauses when it comes to SQL joins is the USING clause. While the more widely-used ON clause allows us to explicitly specify join conditions, the USING clause simplifies the syntax when the join is based on columns with the same name in both tables.

In this article, we’ll dive into the USING clause, compare it to the ON clause, and look at examples that illustrate the difference.

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The Difference Between INNER and LEFT JOINs in SQL

SQL joins are fundamental operations in relational databases, allowing us to combine data from multiple tables. Two of the most commonly used join types are INNER JOIN and LEFT JOIN. Understanding the difference between these joins is crucial if you intend to use joins in your queries.

In this article, we’ll look at the difference between the INNER JOIN and LEFT JOIN using a simple example.

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SQL Self Join Examples

In SQL, the self join is a join technique where we join a table with itself. Other join types will join a table with another table, but the self join simply joins with itself.

Self joins can be useful when working with hierarchical or recursive data within a single table.

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Override the Query Optimizer for your T-SQL Joins with FORCEPLAN

The SET FORCEPLAN statement overrides the logic used by the SQL Server query optimizer to process a T-SQL SELECT statement.

More specifically, when FORCEPLAN is set to ON, the query optimizer processes a join in the same order as the tables appear in the FROM clause of a query.

This also forces the use of a nested loop join unless other types of joins are required to construct a plan for the query, or they are requested with join hints or query hints.

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