The document discusses Structured Query Language (SQL) and its basic statements. It covers:
- SQL is used to request and retrieve data from databases. The DBMS processes SQL queries and returns results.
- SQL statements are divided into DDL (data definition language) for managing schema, DML (data manipulation language) for data queries/modification, and DCL (data control language) for managing transactions and access control.
- The document provides examples of using SQL commands like CREATE TABLE, ALTER TABLE, DROP TABLE, INSERT, UPDATE, DELETE, SELECT and indexes. It also covers data types, constraints and operators used in SQL queries.
Adbms 21 sql 99 schema definition constraints and queriesVaibhav Khanna
In SQL2, can use the CREATE TABLE command for specifying the primary key attributes, secondary keys, and referential integrity constraints (foreign keys).
Key attributes can be specified via the PRIMARY KEY and UNIQUE phrases
1. The document provides information on database concepts like the system development life cycle, data modeling, relational database management systems, and creating and managing database tables in Oracle.
2. It discusses how to create tables, add, modify and delete columns, add comments, define constraints, create views, and perform data manipulation operations like insert, update, delete in Oracle.
3. Examples are provided for SQL statements like CREATE TABLE, ALTER TABLE, DROP TABLE, CREATE VIEW, INSERT, UPDATE, DELETE.
This document provides an introduction to SQL (Structured Query Language) for manipulating and working with data. It covers SQL fundamentals including defining a database using DDL, working with views, writing queries, and establishing referential integrity. It also discusses SQL data types, database definition, creating tables and views, and key SQL statements for data manipulation including SELECT, INSERT, UPDATE, and DELETE. Examples are provided for creating tables and views, inserting, updating, and deleting data, and writing queries using functions, operators, sorting, grouping, and filtering.
The document provides an overview of key concepts for SQL Server development including:
- Database architecture including files, file groups, and I/O requests
- Performance considerations such as identifying large/heavily accessed tables
- Disaster recovery strategies
- Exploring system databases like master, model, tempdb, and msdb
- Database objects including tables, views, functions, triggers, and transactions
The document also covers database design concepts such as normalization, referential integrity, and strategies to improve database design and performance.
A database is a collection of information organized in a way that allows a computer program to select desired data quickly. A traditional database is organized into fields, records, and files. A field contains a single piece of information, a record contains one set of fields, and a file contains records.
A database management system (DBMS) is a collection of programs that allows users to enter, organize, and select data in a database. It performs functions like user management, data creation/modification/access, and database maintenance. Popular DBMS include Microsoft Access, Oracle, MySQL, SQL Server, and others.
Good database systems have ACID properties - Atomicity, Consistency, Isolation, and Durability.
The document discusses how to create a database and tables in SQL using DDL statements like CREATE, DROP, and ALTER. It explains that CREATE is used to define new database objects, DROP removes objects, and ALTER modifies objects. Specific examples show how to create a database called ABCCO, and tables like Persons with columns for ID, name, city. It also covers defining primary keys, foreign keys, default and null values when creating tables.
The document describes a set of PowerPoint slides for a Database Management Systems course. It includes an index listing the topics covered in each lecture and the corresponding slide numbers. The slides cover the basics of SQL queries, including the SELECT, FROM, and WHERE clauses. They also describe concepts like aggregates, null values, triggers, and designing active databases. Integrity constraints and different data types are discussed in the context of the CREATE TABLE statement.
This document provides an introduction to data models and SQL. It discusses the relational data model where data is stored in tables/relations with rows and columns. It describes keys such as primary and foreign keys. The document then introduces SQL commands for creating tables, inserting, updating, deleting and querying data. It provides examples of using SQL with the SQLite database and discusses physical data independence.
SQL stands for Structured Query Language
SQL lets you access and manipulate databases
SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987
1) Chapter 6 discusses database integrity and security. Integrity constraints such as domain constraints, referential integrity constraints, assertions, and triggers help maintain data consistency and integrity.
2) Authorization is an important aspect of database security. Authorization in SQL allows the specification of read, write, update, delete, and other permissions on relations, views, and the database schema for individual users or roles.
3) Views can be used to simplify data access and enhance security by restricting what data a user can see based on the view definition and their underlying permissions. Triggers allow actions to be automatically executed in response to data modifications but have performance overhead so should be used judiciously.
SQL.pptx for the begineers and good knowPavithSingh
SQL is a standard language for storing, manipulating and retrieving data in relational databases. It allows users to define database structures, create tables, establish relationships between tables and query data. Popular uses of SQL include inserting, updating, deleting and selecting data from database tables. SQL is widely used across industries for managing large datasets efficiently in relational database management systems like MySQL, Oracle and SQL Server.
The document discusses various aspects of database integrity and security including domain constraints, referential integrity, triggers, assertions, and authorization. Domain constraints ensure values inserted are valid. Referential integrity ensures relationships between relations are maintained. Triggers allow automatic execution of actions on data modifications. Assertions specify conditions that should always be true. Authorization controls user access to data and modifications. Views can provide secure access to restricted data.
Constraints constraints of oracle data base management systemsSHAKIR325211
This document discusses database constraints and how to implement data integrity in Oracle databases. It defines different types of constraints like NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY and CHECK constraints. It provides examples of defining these constraints at column and table levels using the CREATE TABLE and ALTER TABLE statements. It also discusses managing constraints through adding, dropping and disabling constraints.
This document discusses how to create and manage database tables using data definition language (DDL) statements in Oracle. It covers how to create tables, add columns and constraints, reference other users' tables, and drop tables. The key database objects are described as are the various data types, datetime data types, and constraint types that can be used when defining tables. Examples are provided for creating tables with different constraints.
This document provides an overview of Structured Query Language (SQL) including its core components: Data Definition Language (DDL) for defining database schemas, Data Manipulation Language (DML) for querying and modifying data, and Data Control Language (DCL) for managing permissions and transactions. It describes SQL statements for creating tables, defining constraints, and querying data using SELECT statements. Examples are provided to illustrate concepts like joins, aliases, and pattern matching. Data types, NULL handling, and nested queries are also summarized.
The document discusses installing and configuring MySQL on Linux. It provides steps to install MySQL using RPM files, set passwords for security, test the installation, and configure applications to connect to the database. It also covers basic and advanced MySQL commands like CREATE TABLE, SELECT, JOIN, and more.
The document discusses how to create and manage database tables using data definition language (DDL) statements in Oracle. It covers:
- The main database objects like tables, views, sequences, indexes and synonyms
- Rules for naming tables and columns
- The CREATE TABLE statement and options for specifying columns, data types, constraints, and default values
- Types of constraints like NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY and CHECK
- Techniques for creating tables like using subqueries and the ALTER TABLE statement
The document discusses various components and concepts related to database management systems (DBMS). It defines a database as a collection of related data organized for easy access, management, and updating. It describes the main components of a DBMS as hardware, software, data, procedures, and database access language. It also discusses key DBMS concepts like data definition language, data manipulation language, functions, constraints, and having clause.
This document provides an overview of SQL programming including:
- A brief history of SQL and how it has evolved over time.
- Key SQL fundamentals like database structures, tables, relationships, and normalization.
- How to define and modify database structures using commands like CREATE, ALTER, DROP.
- How to manipulate data using INSERT, UPDATE, DELETE, and transactions.
- How to retrieve data using SELECT statements, joins, and other techniques.
- How to aggregate data using functions like SUM, AVG, MAX, MIN, and COUNT.
- Additional topics covered include subqueries, views, and resources for further learning.
Slides for the session delivered at Devoxx UK 2025 - Londo.
Discover how to seamlessly integrate AI LLM models into your website using cutting-edge techniques like new client-side APIs and cloud services. Learn how to execute AI models in the front-end without incurring cloud fees by leveraging Chrome's Gemini Nano model using the window.ai inference API, or utilizing WebNN, WebGPU, and WebAssembly for open-source models.
This session dives into API integration, token management, secure prompting, and practical demos to get you started with AI on the web.
Unlock the power of AI on the web while having fun along the way!
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A database is a collection of information organized in a way that allows a computer program to select desired data quickly. A traditional database is organized into fields, records, and files. A field contains a single piece of information, a record contains one set of fields, and a file contains records.
A database management system (DBMS) is a collection of programs that allows users to enter, organize, and select data in a database. It performs functions like user management, data creation/modification/access, and database maintenance. Popular DBMS include Microsoft Access, Oracle, MySQL, SQL Server, and others.
Good database systems have ACID properties - Atomicity, Consistency, Isolation, and Durability.
The document discusses how to create a database and tables in SQL using DDL statements like CREATE, DROP, and ALTER. It explains that CREATE is used to define new database objects, DROP removes objects, and ALTER modifies objects. Specific examples show how to create a database called ABCCO, and tables like Persons with columns for ID, name, city. It also covers defining primary keys, foreign keys, default and null values when creating tables.
The document describes a set of PowerPoint slides for a Database Management Systems course. It includes an index listing the topics covered in each lecture and the corresponding slide numbers. The slides cover the basics of SQL queries, including the SELECT, FROM, and WHERE clauses. They also describe concepts like aggregates, null values, triggers, and designing active databases. Integrity constraints and different data types are discussed in the context of the CREATE TABLE statement.
This document provides an introduction to data models and SQL. It discusses the relational data model where data is stored in tables/relations with rows and columns. It describes keys such as primary and foreign keys. The document then introduces SQL commands for creating tables, inserting, updating, deleting and querying data. It provides examples of using SQL with the SQLite database and discusses physical data independence.
SQL stands for Structured Query Language
SQL lets you access and manipulate databases
SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987
1) Chapter 6 discusses database integrity and security. Integrity constraints such as domain constraints, referential integrity constraints, assertions, and triggers help maintain data consistency and integrity.
2) Authorization is an important aspect of database security. Authorization in SQL allows the specification of read, write, update, delete, and other permissions on relations, views, and the database schema for individual users or roles.
3) Views can be used to simplify data access and enhance security by restricting what data a user can see based on the view definition and their underlying permissions. Triggers allow actions to be automatically executed in response to data modifications but have performance overhead so should be used judiciously.
SQL.pptx for the begineers and good knowPavithSingh
SQL is a standard language for storing, manipulating and retrieving data in relational databases. It allows users to define database structures, create tables, establish relationships between tables and query data. Popular uses of SQL include inserting, updating, deleting and selecting data from database tables. SQL is widely used across industries for managing large datasets efficiently in relational database management systems like MySQL, Oracle and SQL Server.
The document discusses various aspects of database integrity and security including domain constraints, referential integrity, triggers, assertions, and authorization. Domain constraints ensure values inserted are valid. Referential integrity ensures relationships between relations are maintained. Triggers allow automatic execution of actions on data modifications. Assertions specify conditions that should always be true. Authorization controls user access to data and modifications. Views can provide secure access to restricted data.
Constraints constraints of oracle data base management systemsSHAKIR325211
This document discusses database constraints and how to implement data integrity in Oracle databases. It defines different types of constraints like NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY and CHECK constraints. It provides examples of defining these constraints at column and table levels using the CREATE TABLE and ALTER TABLE statements. It also discusses managing constraints through adding, dropping and disabling constraints.
This document discusses how to create and manage database tables using data definition language (DDL) statements in Oracle. It covers how to create tables, add columns and constraints, reference other users' tables, and drop tables. The key database objects are described as are the various data types, datetime data types, and constraint types that can be used when defining tables. Examples are provided for creating tables with different constraints.
This document provides an overview of Structured Query Language (SQL) including its core components: Data Definition Language (DDL) for defining database schemas, Data Manipulation Language (DML) for querying and modifying data, and Data Control Language (DCL) for managing permissions and transactions. It describes SQL statements for creating tables, defining constraints, and querying data using SELECT statements. Examples are provided to illustrate concepts like joins, aliases, and pattern matching. Data types, NULL handling, and nested queries are also summarized.
The document discusses installing and configuring MySQL on Linux. It provides steps to install MySQL using RPM files, set passwords for security, test the installation, and configure applications to connect to the database. It also covers basic and advanced MySQL commands like CREATE TABLE, SELECT, JOIN, and more.
The document discusses how to create and manage database tables using data definition language (DDL) statements in Oracle. It covers:
- The main database objects like tables, views, sequences, indexes and synonyms
- Rules for naming tables and columns
- The CREATE TABLE statement and options for specifying columns, data types, constraints, and default values
- Types of constraints like NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY and CHECK
- Techniques for creating tables like using subqueries and the ALTER TABLE statement
The document discusses various components and concepts related to database management systems (DBMS). It defines a database as a collection of related data organized for easy access, management, and updating. It describes the main components of a DBMS as hardware, software, data, procedures, and database access language. It also discusses key DBMS concepts like data definition language, data manipulation language, functions, constraints, and having clause.
This document provides an overview of SQL programming including:
- A brief history of SQL and how it has evolved over time.
- Key SQL fundamentals like database structures, tables, relationships, and normalization.
- How to define and modify database structures using commands like CREATE, ALTER, DROP.
- How to manipulate data using INSERT, UPDATE, DELETE, and transactions.
- How to retrieve data using SELECT statements, joins, and other techniques.
- How to aggregate data using functions like SUM, AVG, MAX, MIN, and COUNT.
- Additional topics covered include subqueries, views, and resources for further learning.
Slides for the session delivered at Devoxx UK 2025 - Londo.
Discover how to seamlessly integrate AI LLM models into your website using cutting-edge techniques like new client-side APIs and cloud services. Learn how to execute AI models in the front-end without incurring cloud fees by leveraging Chrome's Gemini Nano model using the window.ai inference API, or utilizing WebNN, WebGPU, and WebAssembly for open-source models.
This session dives into API integration, token management, secure prompting, and practical demos to get you started with AI on the web.
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2. SQL
• SQL = “Structured Query Language”
• Standard query language for relational DBMSs
• History:
Developed at IBM in late 70s
1st standard: SQL-86
2nd standard: SQL-92
3rd standard: SQL-99 or SQL3, well over 1000 pages
“The nice thing about standards is that
you have so many to choose from!”
-Andrew S. Tannenbaum
2
3. SQL
Consists of two parts:
• Data Definition Language (DDL)
Allows the specification of the database schema
• Data Manipulation Language (DML)
Allows the specification of queries & insert/update/delete
statements
3
5. SQL Data Definition
Language (DDL)
5
• Allows the specification of the database schema
a set of relations with information about each relation
• Schema information:
- The schema of each relation
- The domain of values associated with each attribute
- Integrity constraints
• Other information one can specify:
- The set of indices to be maintained for each relation
- Security and authorization information for each relation
- The physical storage structure of each relation on disk
6. CREATE TABLE Command
• Used to define a relation
• Syntax:
CREATE TABLE relationName
(attrName1 Domain1,
…
attrNamen Domainn
(integrity-constraint1),
…,
(integrity-constraintn))
• Example:
CREATE TABLE branch
(branch_name char(15) not null,
branch_city char(30),
assets integer)
6
7. Domain Types in SQL
• char(n)
Fixed length character string, with user-specified length n
• varchar(n)
Variable length character strings, with user-specified maximum
length n
• int
Integer (a finite subset of integers that is machine-dependent)
• smallint
Small integer (a machine-dependent subset of the integer
domain type)
7
8. Domain Types in SQL
• numeric(p, d)
Fixed point number, with user-specified precision of p digits,
with d digits to the right of decimal point
• real, double precision
Floating point and double-precision floating point numbers, with
machine-dependent precision
• float
Floating point number, with user-specified precision of at least n
digits
and others…
8
9. CREATE TABLE Command
• Can be used to also specify:
- Primary key attributes (PRIMARY KEY keyword)
- Secondary keys (UNIQUE keyword)
- Referential integrity constraints/foreign keys
(FOREIGN KEY keyword)
• Example:
CREATE TABLE DEPT
( DNAME VARCHAR(10) NOT NULL,
DNUMBER INTEGER NOT NULL,
MGRSSN CHAR(9),
MGRSTARTDATE CHAR(9),
PRIMARY KEY (DNUMBER),
UNIQUE (DNAME),
FOREIGN KEY (MGRSSN) REFERENCES EMP )
9
Primary key declaration on an attribute automatically ensures not null in
SQL-92 onwards, but it needs to be explicitly stated in SQL-89
10. DROP TABLE Command
• Used to remove a relation & its definition
The relation can no longer be used in queries, updates, or any other
commands since its description no longer exists
• Syntax:
DROP TABLE relationName
• Example:
DROP TABLE branch
10
11. 11
ALTER TABLE Command
• Used to add/drop attributes from a relation
• Add attribute syntax:
ALTER TABLE relationName ADD attribName attribDomain
All tuples in the relation are assigned null as the default value of the
new attribute
• Drop attribute syntax:
ALTER TABLE relationName DROP attribName
Dropping of attributes not supported by many DBMSs
12. ALTER TABLE Command
• Since new attribute will have NULL values right after the
ALTER command is executed, the NOT NULL constraint
is not allowed for such an attribute
• Example:
ALTER TABLE employee ADD job varchar(12)
• The database users must still enter a value for the new
attribute JOB for each EMPLOYEE tuple. This can be
done using the UPDATE command.
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13. Integrity Constraints
• Guard against accidental damage to the database
by ensuring that authorized changes to the database do not
result in a loss of data consistency.
• Examples:
- A savings account must have a balance greater than
$10,000.00
- A salary of a bank employee must be at least $6.00 an hour
- A customer must have a (non-null) phone number
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14. SQL Integrity Constraints
• On single relations:
- not null
- primary key
- unique
- check(P), where P is a predicate
• On multiple relations:
- foreign key
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15. NOT NULL Constraint
• Specifies that an attribute does not accept null values
• Can be specified as part of:
- The definition of an attribute in the CREATE TABLE statement
e.g. CREATE TABLE branch
(branch_name char(15) not null, …)
- The definition of a domain
(i.e., a “type” that can be used where a type is needed)
e.g. CREATE DOMAIN Dollars numeric(12, 2) not null
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16. UNIQUE Constraint
• Specifies that a set of attributes form a candidate key
• Syntax:
UNIQUE (AttrName1, …, AttrNamen)
• Candidate keys are permitted to be null
(in contrast to primary keys)
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17. CHECK Clause
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• Enforce a predicate (condition)
• Syntax:
CHECK (Predicate)
• Example:
Ensure that the values of the assets are non-negative
CREATE TABLE branch
(branch_name char(15),
branch_city char(30),
assets integer,
primary key (branch_name),
CHECK (assets >= 0) )
18. CHECK Clause
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• Can be also used to constrain domains
e.g., CREATE DOMAIN hourly_wage numeric (5,2)
CONSTRAINT value_test CHECK (value > = 4.00)
• Can be named
(useful to indicate which constraint an update violated)
e.g., CREATE DOMAIN hourly_wage numeric (5,2)
CONSTRAINT value_test CHECK (value > = 4.00)
19. Referential Integrity
• Ensures that a value that appears in one relation for a
given set of attributes also appears for a set of attributes in
another relation.
• Example:
If “La Jolla” is a branch name appearing in one of the tuples in
the account relation, then there exists a tuple in the branch
relation for branch “La Jolla”.
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20. Referential Integrity
• In the CREATE TABLE statement we can use:
- The PRIMARY KEY clause to list primary key (PK) attributes.
- The UNIQUE KEY clause to list candidate key attributes
- The FOREIGN KEY clause to list foreign key (FK) attributes
and the name of the relation referenced by the FK. By default, a
FK references PK attributes of the referenced table.
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