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If the evaluated predicate is true, the combined row is then produced in the expected format, a row set or a temporary table. Sample tableseditRelational databases are usually normalized to eliminate duplication of information such as when entity types have one to many relationships. For example, a Department may be associated with a number of Employees. Joining separate tables for Department and Employee effectively creates another table which combines the information from both tables. All subsequent explanations on join types in this article make use of the following two tables. The rows in these tables serve to illustrate the effect of different types of joins and join predicates. In the following tables the Department. IDcolumn of the Department table which can be designated as Department. Department. ID is the primary key, while Employee. Department. ID is a foreign key. Employee table. Last. Name. Department. IDRafferty. 31. Jones. Heisenberg. 33. Robinson. Smith. 34. Williams. NULLDepartment table. Department. IDDepartment. Name. 31. Sales. 33. Engineering. 34. Clerical. Marketing. Note In the Employee table above, the employee Williams has not been assigned to any department yet. Also, note that no employees are assigned to the Marketing department. This is the SQL statement to create the aforementioned tables. CREATETABLEdepartment 2 3 Department. IDINTPrimarykey, 4 Department. Name. VARCHAR2. 0 5 6 7 CREATETABLEemployee 8 9 Last. Name. VARCHAR2. 0,1. Department. IDINTreferencesdepartmentDepartment. ID1. 1 1. 2 1. INSERTINTOdepartment. VALUES3. 1,Sales 1. INSERTINTOdepartment. VALUES3. 3,Engineering 1. INSERTINTOdepartment. VALUES3. 4,Clerical 1. INSERTINTOdepartment. VALUES3. 5,Marketing 1. INSERTINTOemployee. VALUESRafferty,3. INSERTINTOemployee. VALUESJones,3. INSERTINTOemployee. VALUESHeisenberg,3. INSERTINTOemployee. VALUESRobinson,3. INSERTINTOemployee. VALUESSmith,3. INSERTINTOemployee. VALUESWilliams,NULL Cross joineditCROSS JOIN returns the Cartesian product of rows from tables in the join. In other words, it will produce rows which combine each row from the first table with each row from the second table. Example of an explicit cross join SELECTFROMemployee. CROSSJOINdepartment Example of an implicit cross join SELECTROMemployee,department Employee. Last. Name. Employee. Department. IDDepartment. Department. Name. Department. Department. IDRafferty. 31. Sales. Jones. 33. Sales. Heisenberg. 33. Sales. Smith. 34. Sales. Robinson. 34. Sales. Williams. NULLSales. Av Voice Changer Software Full Version Free Download. Rafferty. 31. Engineering. Jones. 33. Engineering. Heisenberg. 33. Engineering. Smith. 34. Engineering. Robinson. 34. Engineering. Williams. NULLEngineering. Rafferty. 31. Clerical. Jones. 33. Clerical. Heisenberg. 33. Clerical. Smith. 34. Clerical. Robinson. 34. Clerical. Williams. NULLClerical. Rafferty. 31. Marketing. Jones. 33. Marketing. Heisenberg. 33. Marketing. Smith. 34. Marketing. Robinson. 34. Marketing. Williams. NULLMarketing. The cross join does not itself apply any predicate to filter rows from the joined table. The results of a cross join can be filtered by using a WHERE clause which may then produce the equivalent of an inner join. In the SQL 2. 01. F4. 01, Extended joined table, package. Normal uses are for checking the servers performance. Inner joinedit. A Venn Diagram representing an Inner Join SQL statement between the tables A and B. An inner join requires each row in the two joined tables to have matching column values, and is a commonly used join operation in applications but should not be assumed to be the best choice in all situations. Inner join creates a new result table by combining column values of two tables A and B based upon the join predicate. The query compares each row of A with each row of B to find all pairs of rows which satisfy the join predicate. When the join predicate is satisfied by matching non NULL values, column values for each matched pair of rows of A and B are combined into a result row. The result of the join can be defined as the outcome of first taking the Cartesian product or Cross join of all rows in the tables combining every row in table A with every row in table B and then returning all rows which satisfy the join predicate. Actual SQL implementations normally use other approaches, such as hash joins or sort merge joins, since computing the Cartesian product is slower and would often require a prohibitively large amount of memory to store. SQL specifies two different syntactical ways to express joins the explicit join notation and the implicit join notation. Farm Mania 2 Full Version. The implicit join notation is no longer considered a best practice, although database systems still support it. The explicit join notation uses the JOIN keyword, optionally preceded by the INNER keyword, to specify the table to join, and the ON keyword to specify the predicates for the join, as in the following example SELECTemployee. Last. Name,employee. Department. ID,department. Department. Name. FROMemployee. INNERJOINdepartment. ONemployee. Department. IDdepartment. Department. IDEmployee. Last. Name. Employee. Department. IDDepartment. Department. Name. Robinson. 34. Clerical. Jones. 33. Engineering. Smith. Clerical. Heisenberg. Engineering. Rafferty. Sales. The implicit join notation simply lists the tables for joining, in the FROM clause of the SELECT statement, using commas to separate them. Thus it specifies a cross join, and the WHERE clause may apply additional filter predicates which function comparably to the join predicates in the explicit notation. The following example is equivalent to the previous one, but this time using implicit join notation SELECTROMemployee,department. WHEREemployee. Department. IDdepartment. Department. ID The queries given in the examples above will join the Employee and Department tables using the Department. ID column of both tables. Where the Department. ID of these tables match i. Last. Name, Department. ID and Department. Name columns from the two tables into a result row. Where the Department. ID does not match, no result row is generated. Thus the result of the execution of the query above will be Employee. Last. Name. Employee. Department. IDDepartment. Department. Name. Department. Department. IDRobinson. 34. Clerical. Jones. 33. Engineering. Smith. 34. Clerical. Heisenberg. 33. Engineering. Rafferty. 31. Sales. The employee Williams and the department Marketing do not appear in the query execution results. Neither of these has any matching rows in the other respective table Williams has no associated department, and no employee has the department ID 3. Marketing. Depending on the desired results, this behavior may be a subtle bug, which can be avoided by replacing the inner join with an outer join.