Explore the essentials of SQL table structures, including their use in relational databases, data types, constraints, and keys. Understand how indexes enhance table performance and the role of specialized table types like temporary and partitioned tables. Discover the commands for creating, modifying, and retrieving data from SQL tables, and the differences between tables and views.
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SQL tables are used to store data in an organized manner using rows and columns, with each table representing a dataset and columns defining data attributes
Data Types
Data types, such as VARCHAR and INTEGER, dictate the form of data stored in SQL tables
Constraints
Constraints, like NOT NULL and UNIQUE, enforce rules to ensure data accuracy in SQL tables
Keys
Primary keys uniquely identify each row, while foreign keys link tables together, preserving referential integrity
Indexes are crucial for optimizing SQL table performance, serving as data pointers and enabling quick record location without scanning the entire table
SQL views are virtual tables that represent data from one or more tables in a predefined format, offering advantages such as enhanced data security and query simplification
Enhanced Data Security
Views offer enhanced data security through access restrictions and schema abstraction
Query Simplification
Views can simplify complex queries by pre-filtering data and maintaining consistent data presentation despite underlying table changes
Other Uses
Views are also instrumental for streamlining complex queries and safeguarding data in databases
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SQL Table Structure
Composed of rows for records and columns for attributes.
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SQL Data Types
Define form of data, e.g., VARCHAR for strings, INTEGER for numbers.
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SQL Keys Function
Primary keys identify rows uniquely, foreign keys link tables.
