Is left join better than inner join?
A: Use an inner join when you want to retrieve only the rows where there is a match in both tables based on the join condition. Use a left join when you want to retrieve all rows from the left table and the matched rows from the right table, with NULL values for non-matching rows.You can observe the lack of performance because SQL inner join is slower. Outer joins, especially left outer joins, are faster and better performance in most cases. The satisfaction of the inner join condition is mandatory. There are no conditions that we have to meet in the outer join query necessarily.You'll use INNER JOIN when you want to return only records having pair on both sides, and you'll use LEFT JOIN when you need all records from the “left” table, no matter if they have pair in the “right” table or not.

Which is better left join or right join : The main difference between these joins is the inclusion of non-matched rows. The LEFT JOIN includes all records from the left side and matched rows from the right table, whereas RIGHT JOIN returns all rows from the right side and unmatched rows from the left table.

Is left join more efficient

There is not a "better" or a "worse" join type. They have different meaning and they must be used depending on it. In your case, you probably do not have employees with no work_log (no rows in that table), so LEFT JOIN and JOIN will be equivalent in results.

Can we replace left join with inner join : You can replace a LEFT OUTER JOIN with an INNER JOIN if you add the missing values in the related table.

TLDR: The most efficient join is also the simplest join, 'Relational Algebra'. If you wish to find out more on all the methods of joins, read further. Relational algebra is the most common way of writing a query and also the most natural way to do so.

If you dont include the items of the left joined table, in the select statement, the left join will be faster than the same query with inner join. If you do include the left joined table in the select statement, the inner join with the same query was equal or faster than the left join.

What is the most efficient join

TLDR: The most efficient join is also the simplest join, 'Relational Algebra'. If you wish to find out more on all the methods of joins, read further. Relational algebra is the most common way of writing a query and also the most natural way to do so.Joins execute faster compared to subqueries. A join-based query retrieval time will nearly always be faster than one that uses a subquery.Answer. Depending on how we want to select the combined data, it can determine whether to use an INNER JOIN or a LEFT JOIN . Generally, we use INNER JOIN when we want to select only rows that match an ON condition. If no rows match the ON condition, then it will not return any results.

The cross join is considered a very expensive statement in terms of data usage because it returns the product of the table being joined. If the first table contains 100 rows and the second has 1000 rows, the resulting cross join query will return 100 x 1000 rows, which is 100,000 rows.

Which joins are most efficient : TLDR: The most efficient join is also the simplest join, 'Relational Algebra'. If you wish to find out more on all the methods of joins, read further. Relational algebra is the most common way of writing a query and also the most natural way to do so.

Is inner join faster than left join in MySQL : If you dont include the items of the left joined table, in the select statement, the left join will be faster than the same query with inner join. If you do include the left joined table in the select statement, the inner join with the same query was equal or faster than the left join.

What is the most efficient join in SQL

Best Practices

  • Let the large table join the small table rather than the large table joining the large table.
  • Use the equality condition and the and condition in the join conditions, but do not use the or condition.
  • Use Inner Join or Outer Join instead of Cross Join.


Remarks. Use a LEFT JOIN operation to create a left outer join. Left outer joins include all of the records from the first (left) of two tables, even if there are no matching values for records in the second (right) table. Use a RIGHT JOIN operation to create a right outer join.The queries are quite heavy and return one million rows. As you can see from their execution plans, INNER JOIN is significantly faster and less costly.

What is the biggest risk of using cross join : If the first table contains 100 rows and the second has 1000 rows, the resulting cross join query will return 100 x 1000 rows, which is 100,000 rows. The SQL Server document states that “this is potentially an expensive and dangerous operation since it can lead to a large data explosion.