What are the relational operations of the database?
The relational operations of the database include: 1. Selection operation, which selects all tuples that meet given conditions from a relation R; 2. Projection operation, which selects certain specified attributes from all attributes of a relation R. ; 3. The connection operation is to select tuples between attributes that meet certain conditions from the generalized Cartesian product of two relationships to form a new relationship.
The relational operations of the database include:
1, Select operation, from a relationship Select all tuples in R that meet the given conditions;
2, Projection operation, select certain specified attributes from all attributes of a relation R;
3 , Connection operation is to select tuples that meet certain conditions between attributes from the generalized Cartesian product of two relationships to form a new relationship.
Knowledge expansion:
1. Traditional set operations
1. Union (UNION) There are two relations R and S, they have Same structure. The union of R and S is a set consisting of tuples belonging to R or belonging to S, and the operator is ∪. Marked as T=R∪S.
2. DIFFERENCE The difference between R and S is a set composed of tuples that belong to R but not to S. The operator is -. Marked as T=R-S.
3. INTERSECTION The intersection of R and S is a set composed of tuples that belong to both R and S. The operator is ∩. Denote it as T=R∩S. R∩S=R-(R-S).
2. Selection operation
Finding those tuples that meet the given conditions from the relationship is called selection. The condition is given as a logical expression, and the tuple with a true value will be selected. This operation extracts tuples from the horizontal direction. The phrases FOR and WHILE in FOXPRO are equivalent to selection operations.
For example: LIST FOR publishing unit='Higher Education Press' AND unit price
3. Projection operation
Select several attributes from the relationship model to form a new The relationship is called projection. This is done from a column perspective and is equivalent to a vertical decomposition of the relationship. The phrase FIELDS is equivalent to the projection operation in FOXPRO. For example: LIST FIELDS Unit, name
4. Connection operation
The connection operation is to select tuples that meet certain conditions between attributes from the Cartesian product of two relationships.
5. Division operation
In relational algebra, the division operation can be understood as the inverse operation of the Cartesian product.
Suppose the division relation R is an m-ary relation, and the division relation S is an n-ary relation, then their quotient is an m-n-ary relation, recorded as R÷S. The principle of quotient composition is: divide the m-n columns in the division relationship R into several groups according to their values, check whether the set of n column values in each group contains the division relationship S, and if so, take the value of the m-n column as the quotient. A tuple, otherwise not taken.
6. Outer join operation
Recommended tutorial: "sql video tutorial"
The above is the detailed content of What are the relational operations of the database?. For more information, please follow other related articles on the PHP Chinese website!

SQL commands are divided into five categories in MySQL: DQL, DDL, DML, DCL and TCL, and are used to define, operate and control database data. MySQL processes SQL commands through lexical analysis, syntax analysis, optimization and execution, and uses index and query optimizers to improve performance. Examples of usage include SELECT for data queries and JOIN for multi-table operations. Common errors include syntax, logic, and performance issues, and optimization strategies include using indexes, optimizing queries, and choosing the right storage engine.

Advanced query skills in SQL include subqueries, window functions, CTEs and complex JOINs, which can handle complex data analysis requirements. 1) Subquery is used to find the employees with the highest salary in each department. 2) Window functions and CTE are used to analyze employee salary growth trends. 3) Performance optimization strategies include index optimization, query rewriting and using partition tables.

MySQL is an open source relational database management system that provides standard SQL functions and extensions. 1) MySQL supports standard SQL operations such as CREATE, INSERT, UPDATE, DELETE, and extends the LIMIT clause. 2) It uses storage engines such as InnoDB and MyISAM, which are suitable for different scenarios. 3) Users can efficiently use MySQL through advanced functions such as creating tables, inserting data, and using stored procedures.

SQLmakesdatamanagementaccessibletoallbyprovidingasimpleyetpowerfultoolsetforqueryingandmanagingdatabases.1)Itworkswithrelationaldatabases,allowinguserstospecifywhattheywanttodowiththedata.2)SQL'sstrengthliesinfiltering,sorting,andjoiningdataacrosstab

SQL indexes can significantly improve query performance through clever design. 1. Select the appropriate index type, such as B-tree, hash or full text index. 2. Use composite index to optimize multi-field query. 3. Avoid over-index to reduce data maintenance overhead. 4. Maintain indexes regularly, including rebuilding and removing unnecessary indexes.

To delete a constraint in SQL, perform the following steps: Identify the constraint name to be deleted; use the ALTER TABLE statement: ALTER TABLE table name DROP CONSTRAINT constraint name; confirm deletion.

A SQL trigger is a database object that automatically performs specific actions when a specific event is executed on a specified table. To set up SQL triggers, you can use the CREATE TRIGGER statement, which includes the trigger name, table name, event type, and trigger code. The trigger code is defined using the AS keyword and contains SQL or PL/SQL statements or blocks. By specifying trigger conditions, you can use the WHERE clause to limit the execution scope of a trigger. Trigger operations can be performed in the trigger code using the INSERT INTO, UPDATE, or DELETE statement. NEW and OLD keywords can be used to reference the affected keyword in the trigger code.

Indexing is a data structure that accelerates data search by sorting data columns. The steps to add an index to an SQL query are as follows: Determine the columns that need to be indexed. Select the appropriate index type (B-tree, hash, or bitmap). Use the CREATE INDEX command to create an index. Reconstruct or reorganize the index regularly to maintain its efficiency. The benefits of adding indexes include improved query performance, reduced I/O operations, optimized sorting and filtering, and improved concurrency. When queries often use specific columns, return large amounts of data that need to be sorted or grouped, involve multiple tables or database tables that are large, you should consider adding an index.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

SublimeText3 Linux new version
SublimeText3 Linux latest version

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

Dreamweaver Mac version
Visual web development tools

Atom editor mac version download
The most popular open source editor