How to Use Chart Deputy for Joins in SQL Server

How to Use Chart Deputy for Joins in SQL Server

Hello friends, today I will show you how to use Chart Deputy for joins in SQL Server. Joining tables is a common task in SQL scripting, and Chart Deputy can help simplify the process.

To start, let’s create an EMP table with the ID, name, and Department ID columns. We’ll also create a Department table with the ID and name columns. We’ll use these tables to demonstrate different types of joins.

First, let’s insert some records into the Department table. We’ll insert three records: Finance, Marketing, and IT.

Next, we’ll insert some records into the EMP table. We’ll insert five records, including two records without a Department assigned.

Now, let’s explore different types of joins using Chart Deputy. We’ll start with the inner join, which returns only the matching records between the two tables. In our example, we have four matching records.

Next, let’s try the left join. The left join returns all records from the left table and the matching records from the right table. If there is no matching record in the right table, it will show a null value. In our example, we have two records without a Department assigned, so the Department name will be null.

Now, let’s try the right join. The right join returns all records from the right table and the matching records from the left table. If there is no matching record in the left table, it will show a null value. In our example, the IT department is not assigned to any employee, so the employee name will be null.

Finally, let’s try the full join. The full join returns all records from both tables, including null values. In our example, it will return all six records from the EMP table and the three records from the Department table.

Chart Deputy is a powerful tool that can help you create SQL scripts for joins in SQL Server. By clearly defining your requirements, Chart Deputy can automatically generate the necessary script for you. This saves time and effort in writing complex join queries.

Thank you for watching!

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