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  1. Learn how to use SQL LEFT JOIN to combine two tables based on a common column and select records from the left table and the matching rows from the right table. See examples of LEFT JOIN with AS alias, COALESCE function, WHERE clause and multiple tables.

  2. Learn how to use the LEFT JOIN keyword in SQL to return all records from the left table and the matching records from the right table. See a demo with the Northwind sample database and an example query.

    • Basic LEFT JOIN. I’ll work with two tables. The first is company, which stores a list of electronics companies. Use this script to create the table.
    • A Real-Life LEFT JOIN Example. Let’s explore a common scenario. In this example, you want to list all the departments and their employees but also show the departments without employees, if there are such.
    • Another Real-Life LEFT JOIN Example. Another typical LEFT JOIN example is when you want to find all the customers and their orders – but you also want to include the customers who haven’t placed any orders yet.
    • LEFT JOIN with 3 Tables. This is a LEFT JOIN example where I’ll show you how to join three tables. Let’s first have a look at the dataset. The first table is writer, with the script here.
  3. Jun 21, 2024 · Learn how to use SQL LEFT JOIN command to combine rows from two or more tables based on a related column. See examples, syntax, Venn diagram, and important points about LEFT JOIN.

    • 3 min
  4. Learn how to use the SQL LEFT JOIN clause to retrieve data from multiple tables. See examples of joining two tables and three tables with the LEFT JOIN clause and the join condition.

  5. Mar 10, 2020 · Can you LEFT JOIN three tables in SQL? Yes, indeed! You can use multiple LEFT JOINs in one query if needed for your analysis. In this article, I will go through some examples to demonstrate how to LEFT JOIN multiple tables in SQL and how to avoid some common pitfalls when doing so.

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  7. Jan 13, 2021 · LEFT JOIN, also called LEFT OUTER JOIN, returns all records from the left (first) table and the matched records from the right (second) table. If there is no match for a specific record, you’ll get NULLs in the corresponding columns of the right table.