Joins as used to combine the contents of two or more tables and produce a result set that incorporates rows and columns from each table. Tables are typically joined using data that they have in common Join conditions can be specified in either the FROM or WHERE clauses; specifying them in the FROM clause is recommended. WHERE and HAVING clauses can also contain search conditions to further filter the rows selected by the join conditions.
Joins can be categorized as:
Inner joins - (the typical join operation, which uses some comparison operator like = or <>). An inner join is a join in which the values in the columns being joined are compared using a comparison operator Inner joins use a comparison operator to match rows from two tables based on the values in common columns from each table.
Equi Join - It returns all the columns in both tables, and returns only the rows for which
there is an equal value in the join column ( SELECT * FROM authors AS a INNER JOIN
publishers AS p ON a.city = p.city ORDER BY a.au_lname DESC )
Self Join - A table can be joined to itself in a self-join
Outer joins - Outer joins can be a left, right, or full outer join. Outer joins are specified with one of the following sets of keywords when they are specified in the FROM clause:
LEFT JOIN or LEFT OUTER JOIN - The result set of a left outer join includes all the rows from the left table specified in the LEFT OUTER clause, not just the ones in which the joined columns match. When a row in the left table has no matching rows in the right table, the associated result set row contains null values for all select list columns coming from the right table.
RIGHT JOIN or RIGHT OUTER JOIN - A right outer join is the reverse of a left outer join. All rows from the right table are returned. Null values are returned for the left table any time
a right table row has no matching row in the left table.
FULL JOIN or FULL OUTER JOIN - A full outer join returns all rows in both the left and right tables. Any time a row has no match in the other table, the select list columns from the other table contain null values. When there is a match between the tables, the entire result set row contains data values from the base tables.
Cross joins - Cross joins return all rows from the left table, each row from the left table is combined with all rows from the right table. Cross joins are also called Cartesian products.
Joins can be categorized as:
Inner joins - (the typical join operation, which uses some comparison operator like = or <>). An inner join is a join in which the values in the columns being joined are compared using a comparison operator Inner joins use a comparison operator to match rows from two tables based on the values in common columns from each table.
Equi Join - It returns all the columns in both tables, and returns only the rows for which
there is an equal value in the join column ( SELECT * FROM authors AS a INNER JOIN
publishers AS p ON a.city = p.city ORDER BY a.au_lname DESC )
Self Join - A table can be joined to itself in a self-join
Outer joins - Outer joins can be a left, right, or full outer join. Outer joins are specified with one of the following sets of keywords when they are specified in the FROM clause:
LEFT JOIN or LEFT OUTER JOIN - The result set of a left outer join includes all the rows from the left table specified in the LEFT OUTER clause, not just the ones in which the joined columns match. When a row in the left table has no matching rows in the right table, the associated result set row contains null values for all select list columns coming from the right table.
RIGHT JOIN or RIGHT OUTER JOIN - A right outer join is the reverse of a left outer join. All rows from the right table are returned. Null values are returned for the left table any time
a right table row has no matching row in the left table.
FULL JOIN or FULL OUTER JOIN - A full outer join returns all rows in both the left and right tables. Any time a row has no match in the other table, the select list columns from the other table contain null values. When there is a match between the tables, the entire result set row contains data values from the base tables.
Cross joins - Cross joins return all rows from the left table, each row from the left table is combined with all rows from the right table. Cross joins are also called Cartesian products.
1 comments:
What a great web log. I spend hours on the net reading blogs, about tons of various subjects. I have to first of all give praise to whoever created your theme and second of all to you for writing what i can only describe as an fabulous article. I honestly believe there is a skill to writing articles that only very few posses and honestly you got it. The combining of demonstrative and upper-class content is by all odds super rare with the astronomic amount of blogs on the cyberspace.
Post a Comment