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Tags: databaseThe database system is one kind of software, the database system naturally also has his own life cycle--the lifetime. Its lifetime begins with planning, until it is uninstalled. Its intermediate process is very complex, in order to realize the user's idea, the databas
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Storage structure and Access methods
Physical organization and methods of modification
User Access Control
Integrity constraints
Monitoring database Performance
Maintain communication with users
DBAs have to do so much work with a DBMS (database management System), and we can look at two
Tags: relational database Database system query optimization relationshipQuery optimizationHas a very important position in the relational database system.Relational query optimization is a key factor affecting RDBMS performanceBe
relationship that participates in the Union must have the same number of attributes, and the attribute type must be the same for the merge bit.b) Set difference operation Set-differenceThe sign bit of the set difference operation minus-,r-s results in tuples that exist in R but do not exist in S. The set difference operation requires the same set as the Union.c) Cartesian product Cartesian productThe x,instructorxteaches of the Cartesian product is the result of all possible combinations betwee
(Original) based on the tree structure data stored in the chain of the relational database system, calculate the algorithm of all the nodes of the subtree under a node (t-SQL language implementation)
Create Function f_subtree (@ dpcode varchar (9)/* tree structure data, which is used to find the User-Defined Function of all the nodes of the subtree under a node *
This week is reviewing the "Introduction to Database System" This course, see this section of relational operations, for the addition of operations is not very understanding.
Through Baidu, I do not feel that it is easier to understand the explanation.
Here, I would like to share my understanding, if there is a mistake in the place, but also want to see this bl
Label:2.1 Relational data structure and formal definitionRelational database system is a database system that supports relational model.The relational model consists of three parts:
source MYSQL2 kind of difference, simple Point says is: mmsql management What is more convenient, MySQL is relatively weak in the management, but the storage speed is better than mmsqlA database is an organization (or department) that is associated with a data set that is structured in a way that is determined by a data model.
efficiency, which is the problem that the optimization of relational algebraic expression needs to be solved. The relationship between R (A, B) and S (C,D) is a two-tuple relationship, and if there is a query that can be expressed as an algebraic expression of the relationship: E1 =πa (σb=c∧d = ' A "(R x s)); This is not a good query, if you choose to multiply the s, the performance will improve: E1 =πa (Σb=c ( R xσd = ' (S) '); Further analysis can
relational databases and improve performance, a level-1 memcache is added to the static Web page. In SNS, the changes are too fast, memchache is powerless.) Therefore, a new data structure storage must be used to replace relational databases.Another feature of relational databases is that they have a fixed table structure. Therefore, their scalability is very po
bottleneck
High-efficiency reading and writing of massive data
The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data.
High scalability and availability
In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an ap
-efficiency reading and writing of massive data
The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data.
High scalability and availability
In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an application
-efficiency reading and writing of massive data
The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data.
High scalability and availability
In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an application
, hard disk I/O is a big bottleneck
High-efficiency reading and writing of massive data
The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data.
High scalability and availability
In the Web-based architecture, the database is the most difficult to scale out, when the number of users and
-efficiency reading and writing of massive data
The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data.
High scalability and availability
In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an application
connecting instructor and department to Dept_name, to get information from each mentor and his departmentCartesian product XThe Cartesian product outputs all the tuple pairs, such as the Cartesian product of the teacher and the department, indicating all possible correspondence.And ∪The parallel operation merges two tables with similar structures.For duplicate data in the result of the operation, some SQL languages strictly follow the mathematical definition of set operations to remove duplicat
amount of data generated by the Web site is enormous, and for relational databases, the query in a table containing massive amounts of data is very inefficient.
High scalability and availability
In a web-based architecture, databases are the hardest to scale horizontally, and when an application is growing in number of users and accesses, the database has no way to extend performance and load capabilities
join? Leave the left, right, and all unmatched rows separately.The equivalent expression for the left outer join is:(R?s) ∪ (R-πr (R?s)) x{(null,... NULL)}where {(null,... null)} is a schema after s-re) Extended operationGeneralized projection (generalized Projection)Generalized projections allow the operation of arithmetic and string processing at the same time as projection operations, such as:ΠID,NAME,SALARY*13 (instructor)Aggregation (aggregation)Aggregation includes operations such as Min,
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