Top SQL Joins Interview Questions You Need to Know

Top SQL Joins Interview Questions You Need to Know

23 Feb 2025
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Are you going for your Software Developer Interview and still not prepared for JOINS SQL Interview Questions? But you don't need to worry because I am here to help you out. I have studied and accessed all the important JOINS SQL Interview Questions that will surely help you in your Interview.

Joins in SQL are used to combine rows from two or more tables based on a related column, usually a primary key and a foreign key. They help retrieve meaningful data by linking records with matching values. There are different types of joins, like INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN, each serving a specific purpose. Joins make it easier to work with related data stored in multiple tables.

In this interview tutorial, we will go through JOINS in SQL, types of JOINS in SQL, and SQL joins interview questions with easy examples and clear explanations. By the end, you'll feel more confident and ready to answer any SQL join question. These skills will also help you with real-world database tasks. Prepare to ace your SQL interview!

Top 40+ JOINS SQL Interview Questions and Answers

JOINS SQL interview questions are designed to assess your understanding of databases and your problem-solving skills. Here’s what you can expect:

1. JOINS in SQL

    There are four important types of JOINs in SQL:

    1. INNER JOIN
    2. LEFT JOIN
    3. RIGHT JOIN
    4. FULL OUTER JOIN

    You may be asked to explain when and how to use each type in real-world scenarios.

      2. Query Writing

      • Writing SQL queries involving joins.
      • Handling multiple tables with complex relationships.

      3. Concepts and Explanations

      • Explaining the logic behind joins and their use cases.
      • Describing the differences between various joins.

      4. Query Optimization

      • Improving query performance.
      • Identifying and resolving inefficient join operations.

      5. Tricky Scenarios

      • Dealing with edge cases, such as:
        • Null values in joins.
        • Handling data discrepancies between tables.

      Whether you are a fresher or an experienced professional, being well-prepared for these topics will significantly enhance your chances of acing the interview.

      Read More: SQL Queries Interview Questions and Answers.

      Basic SQL JOINS Interview Questions

      Q 1. Explain JOINS in SQL.

      Joins in SQL help you connect data from two tables using a common column. For example, if one table has student names and another has their courses, a Join helps you see both together. Types include INNER JOIN (common data), LEFT JOIN (all left, matching right), RIGHT JOIN (all right, matching left), and FULL JOIN (everything from both).

      Q 2. What are the types of JOINS in SQL?

      SQL has different types of Joins to combine data from multiple tables. Here are the 6 main types of SQL JOINS:

      • INNER JOIN
      • LEFT JOIN
      • RIGHT JOIN
      • FULL JOIN
      • CROSS JOIN
      • SELF JOIN

      Q 3. In SQl, why are JOINS important?

      Joins in SQL are important because they help combine data from different tables. Here’s why they matter:

      • Combine Data Easily – Help to bring related data from different tables together.
      • Avoid Repeating Data – Reduce the need to store the same data in multiple places.
      • Find Useful Information – Make it easy to get important details by linking tables.
      • Keep Data Organized – Help manage data properly in a structured way.
      • Save Time – This allows you to get all needed data with a single query instead of many.

      Q 4. Can a SQL table be joined with itself?

      Yes, a SQL table can be joined with itself using a SELF JOIN. This is useful when you need to compare rows within the same table.

      Top 20+ SQL joins interview questions for freshers

      To understand JOINS SQL Interview Questions, we will provide you with sample tables where we will operate all the SQL Commands.

      Example Tables:

      Student:

      ROLL_NONAMEAGECITY
      101Ravi Kumar21Delhi
      102Priya Patel22Mumbai
      103Arjun Singh20Bangalore

      Course:

      COURSE_IDCOURSE_NAMEROLL_NO
      C101Data Science101
      C102Machine Learning102
      C103Cloud Computing103
      C104Web Development101

      Q 1. What is a JOIN in SQL?

      A JOIN in SQL is a powerful operation used to combine rows from two or more tables based on a related column between them. It helps you link data from different tables, allowing you to view and manipulate the data together.

      • For instance, in a database with a Student table and a Course table, you can use a JOIN to match the student's roll number with the course they are enrolled in.
      • This is essential for combining and presenting relevant information from different sources.
      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      JOIN Course
      ON Student.ROLL_NO = Course.ROLL_NO;
      

      Q 2. Can you explain an INNER JOIN?

      An INNER JOIN is used to return only the rows where there is a match in both tables.

      • This means that if we have a Student table and a Course table, an INNER JOIN will only return students who are enrolled in courses.
      • If a student is not enrolled in a course, they won’t appear in the result set.
      • It's a common type of JOIN when you need only the matched records from both tables.
      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      INNER JOIN Course
      ON Student.ROLL_NO = Course.ROLL_NO;
      

      Q 3. What is a LEFT JOIN?

      A LEFT JOIN returns all records from the left table and the matched records from the right table.If there's no match, it will return NULL values for the columns from the right table.

      • This type of JOIN is useful when you want to keep all rows from the left table, regardless of whether a corresponding row exists in the right table.
      • For example, if you want to show all students, even those not enrolled in any course, a LEFT JOIN would be ideal.
      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      LEFT JOIN Course
      ON Student.ROLL_NO = Course.ROLL_NO;
      

      Q 4. What is a RIGHT JOIN?

      A RIGHT JOIN is similar to a LEFT JOIN but returns all records from the right table and the matched records from the left table. If no match is found, the columns from the left table will return NULL values.

      • You can use this JOIN when you want to make sure that every row from the right table appears, even if it doesn't have a corresponding match in the left table.
      • This type of JOIN is often used when the priority is to preserve all data from the right table.
      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      RIGHT JOIN Course
      ON Student.ROLL_NO = Course.ROLL_NO;
      

      Q 5. What is a FULL JOIN?

      A FULL JOIN returns all rows from both the left and right tables. If there’s no match between the rows, NULL values are returned for the missing side. This JOIN is useful when you want to retrieve all data from both tables, regardless of whether they have a matching row.

      • For example, when you want to see all students and all courses, even if some students aren’t enrolled in any course or some courses don't have any students enrolled.
      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      FULL JOIN Course
      ON Student.ROLL_NO = Course.ROLL_NO;
      

      Q 6. Can we use multiple JOINs in a single query?

      Yes, you can use multiple JOINs in a single query to combine data from more than two tables. In fact, it’s very common to join multiple tables, especially when you need information from different sources. You just need to ensure that you correctly specify the conditions that relate to the tables.

      • Each JOIN must have a matching condition (like a shared column) to connect the tables together.
      SELECT Student.NAME, Course.COURSE_NAME, Teacher.TEACHER_NAME
      FROM Student
      INNER JOIN Course ON Student.ROLL_NO = Course.ROLL_NO
      INNER JOIN Teacher ON Course.TEACHER_ID = Teacher.TEACHER_ID;
      

      Q 7. What is a CROSS JOIN?

      A CROSS JOIN returns the Cartesian product of both tables, meaning it will combine each row from the first table with each row from the second table.

      • This can result in a large number of rows, depending on the size of the tables.
      • CROSS JOIN is typically used when you need to create combinations of every row in both tables, but it’s not commonly used for everyday queries due to its high resource demand.
      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      CROSS JOIN Course;
      

      Q 8. How do you perform a SELF JOIN?

      A SELF JOIN is a special type of join where a table is joined with itself. This is useful when you need to compare rows within the same table. You differentiate between the instances of the table by using aliases. A typical scenario is when you want to find employees who manage other employees, as the employee and manager data exist in the same table.

      SELECT A.EMP_NAME AS Employee, B.EMP_NAME AS Manager
      FROM Employee A
      INNER JOIN Employee B ON A.MANAGER_ID = B.EMP_ID;
      

      Q 9. What’s the difference between Inner join and Outer join?

      An INNER JOIN returns only the rows where there’s a match between the tables. If there’s no match, those rows are excluded.

      In contrast, an OUTER JOIN (LEFT, RIGHT, or FULL) returns all rows from one or both tables, even if there’s no match. This makes OUTER JOINs useful when you need to include all records, regardless of whether they have matching data in the other table.

      -- INNER JOIN Example:
      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      INNER JOIN Course ON Student.ROLL_NO = Course.ROLL_NO;
      
      -- LEFT OUTER JOIN Example:
      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      LEFT JOIN Course ON Student.ROLL_NO = Course.ROLL_NO;
      

      Q 10. How does a NATURAL JOIN work?

      A NATURAL JOIN automatically joins tables based on columns that have the same name and datatype in both tables. It simplifies queries by eliminating the need to specify the join condition explicitly. However, it can lead to issues if the tables contain columns with the same name but different meanings, so it’s important to be cautious when using this type of join.

      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      NATURAL JOIN Course;
      
      Read More: Get Field Name, Data Type, and Size of Database Table

      Q 11. What is the purpose of using table aliases in JOINs?

      Table aliases make queries easier to read and write, especially in JOINs involving multiple tables or a SELF JOIN. They help you avoid repeating long table names and improve query clarity. For example:

      SELECT S.NAME, C.COURSE_NAME
      FROM Student AS S
      INNER JOIN Course AS C
      ON S.ROLL_NO = C.ROLL_NO;

      Q 12. How can you join more than two tables?

      You can join multiple tables by adding extra JOIN statements for each table you want to include. Each JOIN specifies how tables and columns should match. This way, you can combine data from several tables into one result set.

      Q 13. What is the difference between JOIN and UNION?

      A JOIN combines columns from different tables into a single result set by matching rows, whereas a UNION combines rows from different queries or tables into one result, stacking them vertically. Each serves a distinct purpose based on how you want to combine your data.

      Q 14. How do you filter results in a JOIN using the WHERE clause?

      You use the WHERE clause to apply conditions after performing the JOIN. For instance, if you want to find students from Delhi enrolled in a course, you can filter the results like this:

      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      INNER JOIN Course
      ON Student.ROLL_NO = Course.ROLL_NO
      WHERE Student.CITY = 'Delhi';

      Q 15. Can JOINs be used with aggregate functions?

      Yes, JOINs work seamlessly with aggregate functions like SUM, AVG, and COUNT. You can calculate grouped results by joining tables and applying these functions, such as finding the total course fees for all students.

      Read More: Different Types of SQL Server Functions

      Q 16. What’s the impact of indexing on JOIN performance?

      Indexing on the joined columns (e.g., ROLL_NO) significantly improves JOIN performance. It speeds up data retrieval by enabling the database to quickly locate matching rows, which is especially beneficial for large datasets.

      Q 17. Can we join a table with a subquery?

      Yes, you can join a table with a subquery. The subquery acts as a temporary table and helps you combine filtered or pre-processed data with other tables. This technique is useful when you need additional conditions or aggregations.

      Q 18. How should data be organized to support Join operations in a one-to-many relationship?

      To support JOIN operations in a one-to-many relationship, store the "one" side in a primary table with a primary key (PK) and the "many" side in a related table with a foreign key (FK) referencing the primary table.

      Q 19. How should data be structured to support Join Operations in a many-to-many relationship?

      To support JOIN operations in a many-to-many relationship, use a junction table (also called a bridge table) that connects the two main tables. This junction table contains foreign keys referencing the primary keys of both tables, allowing efficient linking between multiple records in both directions.

      Q 20. What is an equi join?

      An equi join is a type of join that matches rows using equality conditions, typically with =. Most INNER JOINs are equi joins since they rely on equal column values to combine rows.

      Read More: Difference Between Inner Join, Equi Join, and Natural Join

      Q 21. How can you exclude unmatched rows in a JOIN?

      To exclude unmatched rows, you can use an INNER JOIN. It only returns rows where matching values exist in both tables, ensuring your results are clean and precise.

      Q 22. Explain about Hash JOIN in SQL.

      A HASH JOIN in SQL joins two tables by creating a temporary hash table from the smaller table and then matching it with rows from the larger table. It is useful for joining large tables without indexes but needs more memory.

      Q 24. What is NESTED JOIN in SQL?

      A NESTED JOIN (or Nested Loop Join) in SQL is a method where for each row in the first table, SQL checks every row in the second table to find matching data. It works well for small tables or when an index helps speed up the search but can be slow for large datasets.

      Q 25. What is CTE (Common Table Expression) SQL?

      A CTE (Common Table Expression) in SQL is a temporary result set that you can use within a query to make it easier to read and manage. It is created using the WITH keyword and helps break complex queries into smaller, more understandable parts.

      Q 26. Does the Join condition always have to be based on equality?

      No, the JOIN condition does not always have to be based on equality. While INNER JOIN and OUTER JOIN typically use equality (=) to match rows, NON-EQUI JOINS can use other operators like <, >, <=, >=, or BETWEEN to join tables based on a range of values instead of exact matches.

      Q 27. How do you handle NULL values in JOINs?

      NULL values can cause mismatches during JOINs. You can use COALESCE to replace NULLs with default values or IS NULL to filter out or handle rows with NULLs, especially in OUTER JOINs.

      NAMECOURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning
      Arjun SinghCloud Computing
      Ravi KumarWeb Development

      SQL Joins Interview Questions for Experienced

      Q 28. What is a NATURAL JOIN?

      A Natural Join automatically joins tables based on columns with the same name and data type in both tables. Unlike an inner join, you don’t explicitly specify the condition for the join.

      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      NATURAL JOIN Course;
      NAMECOURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning
      Arjun SinghCloud Computing

      Q 29. How would you use multiple JOINs in a query?

      You can join multiple tables in a query by chaining JOIN statements. This allows you to fetch related data from different tables. Each JOIN should have an appropriate condition.

      SELECT Student.NAME, Course.COURSE_NAME, Instructor.INSTRUCTOR_NAME
      FROM Student
      INNER JOIN Course ON Student.ROLL_NO = Course.ROLL_NO
      INNER JOIN Instructor ON Course.COURSE_ID = Instructor.COURSE_ID;
      NAMECOURSE_NAMEINSTRUCTOR_NAME
      Ravi KumarData ScienceDr. Sharma
      Priya PatelMachine LearningProf. Verma
      Arjun SinghCloud ComputingDr. Kumar

      Q 30. Can you explain the concept of using aliases in joins?

      Aliases are used to give temporary names to tables and columns, especially when working with self-joins or when the same table is involved multiple times in the query. This makes the query more readable.

      SELECT S1.NAME AS Student_Name, S2.NAME AS Friend_Name
      FROM Student S1
      JOIN Student S2 ON S1.ROLL_NO = S2.ROLL_NO;
      Student_Name Friend_Name
      Ravi KumarPriya Patel
      Arjun SinghArjun Singh

      Q 31. What is the difference between JOIN and UNION?

      While both JOIN and UNION combine data from multiple tables. The key difference is that JOIN combines rows based on a condition while UNION appends the result sets of two queries, ensuring no duplicates (use UNION ALL to include duplicates).

      SELECT Student.NAME FROM Student
      UNION
      SELECT Teacher.NAME FROM Teacher;
      NAME
      Ravi Kumar
      Priya Patel
      Prof. Sharma

      Q 32. What is a CROSS JOIN?

      A cross-join returns the Cartesian product of both tables. Every row in the first table is joined with all rows in the second table. This can result in a very large result set.

      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      CROSS JOIN Course;
      NAMECOURSE_NAME
      Ravi KumarData Science
      Ravi KumarMachine Learning
      Ravi KumarCloud Computing
      Priya PatelData Science
      Priya PatelMachine Learning
      Priya PatelCloud Computing

      Q 33. How do you prevent duplicate rows in a JOIN query?

      To prevent duplicate rows in a JOIN query, use the DISTINCT keyword. This eliminates duplicate records from the result set.

      SELECT DISTINCT Student.NAME, Course.COURSE_NAME
      FROM Student
      INNER JOIN Course ON Student.ROLL_NO = Course.ROLL_NO;
      NAMECOURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning
      Arjun SinghCloud Computing

      Q 34. What is the use of the ON keyword in a JOIN?

      The ON keyword is used to specify the condition for the join between two tables. This condition determines how the rows from each table are matched.

      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      INNER JOIN Course ON Student.ROLL_NO = Course.ROLL_NO;
      NAME COURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning
      Arjun SinghCloud Computing

      Q 35. What is a SELF JOIN?

      A SELF JOIN is when a table is joined with itself. You can use a SELF JOIN to compare rows within the same table. It is often used to find relationships within the same dataset.

      SELECT A.NAME, B.NAME FROM Employee A
      INNER JOIN Employee B ON A.MANAGER_ID = B.EMPLOYEE_ID;
      Employee_Name Manager_Name
      Ravi KumarPriya Patel
      Arjun SinghRavi Kumar

      Q 36. What is the difference between INNER JOIN and LEFT JOIN?

      The INNER JOIN returns only the rows that have matching records in both tables. In contrast, a LEFT JOIN returns all rows from the left table, along with matching rows from the right table. If there is no match, the result will contain NULL for the right table's columns.

      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      LEFT JOIN Course ON Student.ROLL_NO = Course.ROLL_NO;
      NAME COURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning
      Arjun SinghNULL

      Q 37. How does the RIGHT JOIN work?

      A RIGHT JOIN is similar to a LEFT JOIN, but it returns all rows from the right table along with matching rows from the left table. If there is no match, the result will contain NULL for the left table's columns.

      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      RIGHT JOIN Course ON Student.ROLL_NO = Course.ROLL_NO;
      NAME COURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning
      NULLCloud Computing

      Q 38. How would you JOIN three or more tables?

      To join three or more tables, chain multiple JOINs, each with an appropriate condition. The process remains the same as joining two tables, but you repeat the JOIN operation for each additional table.

      SELECT Student.NAME, Course.COURSE_NAME, Instructor.NAME
      FROM Student
      JOIN Course ON Student.ROLL_NO = Course.ROLL_NO
      JOIN Instructor ON Course.COURSE_ID = Instructor.COURSE_ID;
      NAMECOURSE_NAMEINSTRUCTOR_NAME
      Ravi KumarData ScienceDr. Sharma
      Priya PatelMachine LearningProf. Verma

      Q 39. What is a FULL OUTER JOIN?

      A FULL OUTER JOIN returns all records when there is a match in either the left or right table. It returns NULL for non-matching rows from both tables.

      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      FULL OUTER JOIN Course ON Student.ROLL_NO = Course.ROLL_NO;
      NAMECOURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning
      Arjun SinghCloud Computing
      Rajesh KumarNULL

      Q 40. What is the difference between LEFT JOIN and RIGHT JOIN?

      Both LEFT JOIN and RIGHT JOIN are types of OUTER JOINs, but:

      • LEFT JOINin SQLreturns all records from the left table and the matched records from the right table.
      • RIGHT JOIN in SQL returns all records from the right table and the matched records from the left table.
      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      LEFT JOIN Course ON Student.ROLL_NO = Course.ROLL_NO;
      NAMECOURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning
      Arjun SinghCloud Computing
      Rajesh KumarNULL

      Q 41. How do you write a JOIN query to get data from two tables with conditions on both?

      To join two tables with conditions on both, you specify multiple conditions in the ON clause or use the WHERE clause to filter rows after joining.

      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      JOIN Course ON Student.ROLL_NO = Course.ROLL_NO
      WHERE Course.YEAR = 2024 AND Student.AGE > 20;
      NAMECOURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning

      Q 42. What is the difference between a JOIN and a UNION in SQL?

      JOIN combines data from two or more tables based on a common column while UNION combines results from two queries, stacking one result set below the other. UNION Also removes duplicate rows by default.

      SELECT Student.NAME FROM Student
      UNION
      SELECT Teacher.NAME FROM Teacher;
      NAME
      Ravi Kumar
      Priya Patel
      Prof. Sharma

      Q 43. How would you perform a JOIN between more than two tables?

      To perform a JOIN with multiple tables, chain the JOIN conditions one after the other, specifying how each table is related to the others.

      SELECT Student.NAME, Course.COURSE_NAME, Instructor.NAME
      FROM Student
      JOIN Course ON Student.ROLL_NO = Course.ROLL_NO
      JOIN Instructor ON Course.COURSE_ID = Instructor.COURSE_ID;
      NAME COURSE_NAMEINSTRUCTOR_NAME
      Ravi KumarData ScienceDr. Sharma
      Priya PatelMachine LearningProf. Verma

      Q 44. What is the role of the ON clause in a JOIN?

      The ON clause in a JOIN specifies the condition that defines how two tables are related. It is used to filter rows based on matching columns from both tables.

      SELECT Student.NAME, Course.COURSE_NAME
      FROM Student
      INNER JOIN Course ON Student.ROLL_NO = Course.ROLL_NO;
      NAMECOURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning

      Q 45. What is the impact of using DISTINCT with JOIN?

      Using DISTINCT in a JOIN query ensures that the result set does not contain duplicate rows. It’s useful when you expect multiple matching rows from one table and only want to return unique combinations.

      SELECT DISTINCT Student.NAME, Course.COURSE_NAME
      FROM Student
      INNER JOIN Course ON Student.ROLL_NO = Course.ROLL_NO;
      NAMECOURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning

      Q 46. How would you handle multiple NULL values in JOIN operations?

      In JOIN operations, NULL values in one or both tables can cause rows to be excluded. Use COALESCE() or IFNULL() functions to replace NULLs with a default value.

      SELECT Student.NAME, COALESCE(Course.COURSE_NAME, 'No Course') AS COURSE_NAME
      FROM Student
      LEFT JOIN Course ON Student.ROLL_NO = Course.ROLL_NO;
      NAMECOURSE_NAME
      Ravi KumarData Science
      Rajesh KumarNo Course
      Read More: SQL Integrity Constraints

      Q 47. How can you join a table with a subquery in SQL?

      You can join a table with a subquery in the FROM clause. The subquery acts as a derived table that is treated like a regular table in the JOIN operation.

      SELECT Student.NAME, SubQuery.COURSE_NAME
      FROM Student
      JOIN (SELECT COURSE_NAME, ROLL_NO FROM Course WHERE YEAR = 2024) AS SubQuery
      ON Student.ROLL_NO = SubQuery.ROLL_NO;
      NAMECOURSE_NAME
      Ravi KumarData Science
      Priya PatelMachine Learning
      Explore More:
      SQL Queries Interview Questions and Answers
      SQL Interview Questions
      SQL Viva Questions
      Summary

      This article covered essential SQL Joins, a critical concept for working with relational databases. The explanation included different types of joins, such as INNER JOIN, LEFT OUTER JOIN, RIGHT OUTER JOIN, and FULL OUTER JOIN, along with their syntax and use cases. Understanding these joins is vital for querying data from multiple tables effectively.

      Additionally, if you're interested in full-stack development, check out the Full-Stack .NET Developer Certification Training, which covers everything from SQL to web and application development.

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      Test Your Skills by Practising Following MCQs

      Dear Student, attempt the following MCQ questions and know your capabilities.

      SQL JOINS Quiz

      Q 1: Which SQL JOIN returns only matching rows from both tables?

      • INNER JOIN
      • LEFT JOIN
      • RIGHT JOIN
      • FULL JOIN

      FAQs

      SQL JOIN works by combining rows from two or more tables based on a related column between them. You use it to fetch matching data across tables, with different types of JOINs (INNER, LEFT, RIGHT, FULL OUTER) specifying how unmatched data is handled.

      The four types of SQL JOIN operations are:
      1. INNER JOIN – returns only matching rows between tables.
      2. LEFT JOIN (or LEFT OUTER JOIN) – returns all rows from the left table and matched rows from the right.
      3. RIGHT JOIN (or RIGHT OUTER JOIN) – returns all rows from the right table and matching rows from the left.
      4. FULL OUTER JOIN – returns all rows from both tables, with NULLs for non-matching rows.

      In SQL, INNER JOIN is generally the fastest because it returns only the matching rows from the involved tables, resulting in fewer rows to process compared to outer joins. The performance can vary based on indexes, data size, and database optimization, but INNER JOIN usually has less overhead than LEFT, RIGHT, or FULL OUTER JOINs.

      The best SQL JOIN depends on the context and what you need to achieve:
      • INNER JOIN is ideal when you only need matching rows from the tables.
      • LEFT JOIN is best when you need all rows from the left table and matching data from the right or to identify unmatched data.
      • RIGHT JOIN is useful when the focus is on preserving all rows from the right table.
      • FULL OUTER JOIN works well when you need all data from both tables, with NULLs for non-matching rows.
      Choosing the best JOIN depends on the data relationships and desired result set.

      Yes, you can use GROUP BY with JOINs in SQL. It allows you to group the combined result set from multiple tables and apply aggregate functions, such as COUNT, SUM, or AVG, on grouped data. This is useful for summarizing or analyzing data across related tables after performing a join.

      SELECT a.column1, b.column2 FROM table1 a, table2 b WHERE a.id = b.id;

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