# Mastering SQL: Joining Only the First Row

## Joining Only the First Row in SQL

SQL is a powerful tool for managing and manipulating data, but sometimes we encounter specific problems that require a little extra thought to solve. One such problem is joining only the first row in SQL.

## Problem Scenario

Joining only the first row in SQL is a problem that arises in many different contexts. One common scenario is a one-to-many relationship.

In this scenario, we have two tables, one of which has many multiple entries that are associated with a single row in the other table. For example, we may have a table of expensive items and another table that records which employees have bought which items.

Each employee may have bought multiple items, but we may only be interested in the most expensive item that each employee has bought. Another example is when we want to select the first row that meets a particular condition.

For instance, we may want to find the observed temperature, but only for the first day when the temperature was above 90 degrees Fahrenheit.

## Tables and Output Format for Demonstration

To demonstrate this problem, let’s create a simple example. We have two tables: Employees and Orders.

The Employees table has three columns: EmployeeID, EmployeeName, and HireDate. The Orders table has four columns: OrderID, OrderDate, EmployeeID, and OrderTotal.

We want to select each employee’s first order, along with their name and hire date. Our output format should be a table with three columns: EmployeeName, HireDate, and OrderTotal.

### Solution 1: Sequential Order ID

One solution to this problem is to add a sequential order ID to the rows in the table and use a subquery or Common Table Expression (CTE) to select only the rows with the lowest ID for each group. First, let’s add a sequential order ID to the Orders table using the ROW_NUMBER() function:

``````WITH OrderedOrders AS (
SELECT OrderID,
OrderDate,
EmployeeID,
OrderTotal,
ROW_NUMBER() OVER (PARTITION BY EmployeeID ORDER BY OrderDate) AS OrderNumber
FROM Orders
)
``````

This CTE creates a new table called OrderedOrders that has an additional column called OrderNumber. This column assigns a sequential order ID to each row within each group of EmployeeID, ordered by OrderDate.

Now let’s join the OrderedOrders table to the Employees table, selecting only the rows with OrderNumber = 1:

``````SELECT e.EmployeeName,
e.HireDate,
o.OrderTotal
FROM Employees e
JOIN OrderedOrders o
ON e.EmployeeID = o.EmployeeID
AND o.OrderNumber = 1;
``````

This SQL code will return the desired output: each employee’s first order, along with their name and hire date.

### Practice Recommendation

If you want to practice SQL and improve your skills in this area, we recommend taking an online course such as SQL Practice Set. This course provides hands-on exercises that will help you improve your SQL skills and tackle real-world problems like the one we’ve discussed in this article.

With practice, you’ll become more confident and proficient in using SQL to manage and manipulate data. Solution 2: Window Function

### Solution 2: Window Function

Another solution to joining only the first row in SQL is to use a window function to assign row numbers based on a certain column, such as date.

To do this, we can use the ROW_NUMBER() function with a PARTITION BY clause to assign a unique row number to each row within each partition. In this case, we want to partition by the EmployeeID column and order by the OrderDate column:

``````SELECT EmployeeID,
OrderDate,
OrderTotal,
ROW_NUMBER() OVER (PARTITION BY EmployeeID ORDER BY OrderDate) as rn
FROM Orders;
``````

This SQL code returns a table with four columns: EmployeeID, OrderDate, OrderTotal, and a unique row number (rn) based on the order date for each EmployeeID. Now, we can join this table to the Employees table and filter the results to only include rows where the row number (rn) is equal to 1:

``````WITH OrderedOrders AS (
SELECT EmployeeID,
OrderDate,
OrderTotal,
ROW_NUMBER() OVER (PARTITION BY EmployeeID ORDER BY OrderDate) as rn
FROM Orders
)
SELECT e.EmployeeName,
e.HireDate,
o.OrderTotal
FROM Employees e
JOIN OrderedOrders o
ON e.EmployeeID = o.EmployeeID
WHERE o.rn = 1;
``````

This SQL code will return the same output as solution 1, but uses a different approach with window functions. If you’re interested in learning more about window functions, there are many learning resources available online, including SQL Window Functions Cheat Sheet and online courses such as Advanced SQL Window Functions on Udemy.

### Solution 3: DISTINCT ON

A third solution to this problem is to use the DISTINCT ON clause in PostgreSQL. This clause is not available in all SQL dialects, however, so it may not be an option for everyone.

To use DISTINCT ON, we can select all the columns we’re interested in and use DISTINCT ON to specify which column to use to filter out duplicates. In this case, we want to filter out all but the first row for each EmployeeID, so we’ll use the EmployeeID column:

``````SELECT DISTINCT ON (EmployeeID) EmployeeID,
OrderDate,
OrderTotal
FROM Orders
ORDER BY EmployeeID, OrderDate;
``````

This SQL code will return the first row for each EmployeeID based on the order of the OrderDate column. We can join this table with the Employees table to get the desired output:

``````WITH FirstOrders AS (
SELECT DISTINCT ON (EmployeeID) EmployeeID,
OrderDate,
OrderTotal
FROM Orders
ORDER BY EmployeeID, OrderDate
)
SELECT e.EmployeeName,
e.HireDate,
fo.OrderTotal
FROM Employees e
JOIN FirstOrders fo
ON e.EmployeeID = fo.EmployeeID;
``````

This SQL code will return the same output as the previous solutions, but uses a different approach using the DISTINCT ON clause.

## Conclusion

In conclusion, joining only the first row in SQL can be a tricky problem to solve, but there are several solutions available depending on your data and SQL dialect. Solutions involving sequential order ID, window functions, and DISTINCT ON can all be effective ways to solve this problem, depending on your specific needs.

By practicing your SQL skills, exploring different strategies, and using online resources, you can become more confident and proficient in using SQL to manage and manipulate data. Solution 4: SQL Toolkit

### Solution 4: SQL Toolkit

In addition to the solutions already discussed, we can also use SQL toolkit options to join only the first row in SQL.

These solutions involve using specific syntax and clauses available in common SQL dialects. Two popular options are the LIMIT clause (common in SQLite and MySQL) and the TOP 1 clause (common in MS SQL Server).

#### Strategy Explanation for LIMIT Clause

The LIMIT clause is a widely used SQL toolkit option that can help join only the top row of a table. This clause works by setting a maximum number of rows returned by a SELECT statement.

By setting the limit to 1, we can return only the top row in a given table.

For example, let’s use the LIMIT clause to select the first order for each employee from the Orders table:

``````SELECT EmployeeID,
OrderDate,
OrderTotal
FROM Orders
ORDER BY EmployeeID, OrderDate
LIMIT 1;
``````

This SQL code will return the first row for each EmployeeID based on the order of the OrderDate column. We can join this table with the Employees table to get the desired output:

``````WITH FirstOrders AS (
SELECT EmployeeID,
OrderDate,
OrderTotal
FROM Orders
ORDER BY EmployeeID, OrderDate
LIMIT 1
)
SELECT e.EmployeeName,
e.HireDate,
fo.OrderTotal
FROM Employees e
JOIN FirstOrders fo
ON e.EmployeeID = fo.EmployeeID;
``````

This SQL code will return the same output as the previous solutions, but uses a different approach using the LIMIT clause.

#### Strategy Explanation for TOP 1 Clause

In MS SQL Server, the TOP 1 clause can be used to select only the top row of a table. This clause works by specifying the number of rows to return, in this case only 1 row.

For example, let’s use the TOP 1 clause to select the first order for each employee from the Orders table:

``````SELECT TOP 1 EmployeeID,
OrderDate,
OrderTotal
FROM Orders
ORDER BY EmployeeID, OrderDate;
``````

This SQL code will return the first row for each EmployeeID based on the order of the OrderDate column. We can join this table with the Employees table to get the desired output:

``````WITH FirstOrders AS (
SELECT TOP 1 EmployeeID,
OrderDate,
OrderTotal
FROM Orders
ORDER BY EmployeeID, OrderDate
)
SELECT e.EmployeeName,
e.HireDate,
fo.OrderTotal
FROM Employees e
JOIN FirstOrders fo
ON e.EmployeeID = fo.EmployeeID;
``````

This SQL code will produce the same output as the previous solutions but uses the TOP 1 clause to select only the top row. Join

### Practice Recommendation

If you want to practice SQL JOINs and other data manipulation techniques, we recommend taking an interactive course such as SQL JOINs for Beginners on DataCamp.

This course covers a variety of topics, including INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN, as well as data filtering, joining a table with itself, and dealing with non-key columns. By practicing with interactive coding challenges and real-world examples, you’ll become more confident and proficient in using SQL to manipulate and analyze data.

If you’re looking to advance your SQL skills further, we recommend the Advanced SQL track available on DataCamp. This track covers advanced data analysis topics such as SQL Window Functions, GROUP BY Extensions, and Common Table Expressions (CTE).

By mastering these topics, you’ll be able to take your data analysis skills to the next level and tackle more complex problems. In conclusion, joining only the first row in SQL is a common problem that can be solved using a variety of strategies.

Whether you use a sequential order ID, window functions, DISTINCT ON, LIMIT clause, or TOP 1 clause, it’s important to understand the options available in your SQL dialect and choose the most appropriate method for your specific data and requirements. By practicing with online resources and interactive courses such as SQL Practice Set and SQL JOINs for Beginners, you can improve your SQL skills and become more proficient in managing and manipulating data.

Overall, mastering SQL techniques is crucial in today’s data-driven world, and is a skill that can help you advance your career in many fields.