Question: Why LEFT JOIN Is Used In SQL?

What does LEFT JOIN mean?

The LEFT JOIN command returns all rows from the left table, and the matching rows from the right table.

The result is NULL from the right side, if there is no match..

Why does LEFT JOIN add rows?

You are getting (possible) multiple rows for each row in your left table because there are multiple matches for the join condition. If you want your total results to have the same number of rows as there is in the left part of the query you need to make sure your join conditions cause a 1-to-1 match.

Why use instead of join?

“JOIN” is used to retrieve data from two tables – based ON the values of a common column. If you then want to further filter this result, use the WHERE clause. … Thus, if you want to further filter this result, specify the extra filters in the WHERE clause.

Which join is fastest?

INNER JOINWell, in general INNER JOIN will be faster because it only returns the rows matched in all joined tables based on the joined column. But LEFT JOIN will return all rows from a table specified LEFT and all matching rows from a table specified RIGHT.

Why are left joins slow?

The LEFT JOIN query is slower than the INNER JOIN query because it’s doing more work. … For the INNER JOIN query, MySQL is using an efficient “ref” (index lookup) operation to locate the matching rows. But for the LEFT JOIN query, it looks like MySQL is doing a full scan of the index to find the matching rows.

Why do we use left join in SQL?

The LEFT JOIN clause allows you to query data from multiple tables. It returns all rows from the left table and the matching rows from the right table. If no matching rows found in the right table, NULL are used. … For each row from the T1 table, the query compares it with all the rows from the T2 table.

Which join is faster in SQL?

It’s because SQL Server wants to do a hash match for the INNER JOIN , but does nested loops for the LEFT JOIN ; the former is normally much faster, but since the number of rows is so tiny and there’s no index to use, the hashing operation turns out to be the most expensive part of the query.

What is difference between join and inner join?

Difference between JOIN and INNER JOIN JOIN returns all rows from tables where the key record of one table is equal to the key records of another table. The INNER JOIN selects all rows from both participating tables as long as there is a match between the columns.

Can we join two tables without any relation?

The answer to this question is yes, you can join two unrelated tables in SQL and in fact, there are multiple ways to do this, particularly in the Microsoft SQL Server database. The most common way to join two unrelated tables is by using CROSS join, which produces a cartesian product of two tables.

Why do we need left and right join?

The only reason I can think of to use RIGHT OUTER JOIN is to try to make your SQL more self-documenting. You might possibly want to use left joins for queries that have null rows in the dependent (many) side of one-to-many relationships and right joins on those queries that generate null rows in the independent side.

When to use left join and inner join in SQL?

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.

What is equi join?

An equi join is a type of join that combines tables based on matching values in specified columns. … The column names do not need to be the same. The resultant table contains repeated columns. It is possible to perform an equi join on more than two tables.

What is left join with example?

The LEFT JOIN keyword returns all records from the left table (table1), and the matched records from the right table (table2). The result is NULL from the right side, if there is no match.

Which join should I use?

Use an inner join when you want only the results that appear in both sets. Use a left outer join when you want all the results from set a, but if set b has data relevant to some of set a’s records, then you also want to use that data in the same query too.

Which join is faster in mysql?

A LEFT JOIN is not faster than INNER JOIN . It always depends on the structure of your table whereas the proper key index is applied to that or not. If there you do not use a Dependency Or Index Undoubtedly the Left Join is way faster because that not Scan Complete table.

Is a subquery faster than a join?

The advantage of a join includes that it executes faster. The retrieval time of the query using joins almost always will be faster than that of a subquery. By using joins, you can maximize the calculation burden on the database i.e., instead of multiple queries using one join query.

Which join is faster in Hana?

From performance point of view, the Left outer join is always faster than Inner join. Inner join is usually slower due to the fact that the join is always executed.

How does LEFT JOIN work in SQL?

The SQL LEFT JOIN returns all rows from the left table, even if there are no matches in the right table. This means that if the ON clause matches 0 (zero) records in the right table; the join will still return a row in the result, but with NULL in each column from the right table.

What is the main purpose of using natural join in SQL?

A NATURAL JOIN is a JOIN operation that creates an implicit join clause for you based on the common columns in the two tables being joined. Common columns are columns that have the same name in both tables. A NATURAL JOIN can be an INNER join, a LEFT OUTER join, or a RIGHT OUTER join. The default is INNER join.

What is difference between left join and 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.

What is self join?

A self JOIN is a regular join, but the table is joined with itself – this is extremely useful for comparisons within a table. Joining a table with itself means that each row of the table is combined with itself and with every other row of the table.