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13.1 Introduction to Data Definition Language (DDL)
Overview of DDL and its role in database management
Importance of DDL in defining and managing database schema
Comparison between DDL and other SQL languages (DML, DCL)
13.2 Creating and Dropping Database Objects
Creating databases and schemas
Creating tables with CREATE TABLE statement
Dropping databases, schemas, and tables with DROP statement
13.3 Altering Database Objects
Modifying table structure with ALTER TABLE statement
Adding, modifying, and dropping columns
Renaming tables and columns
13.4 Constraints in DDL
Understanding constraints and their role in maintaining data integrity
Types of constraints: Primary key, foreign key, unique, not null, check constraints
Adding and dropping constraints with ALTER TABLE statement
13.5 Indexes in DDL
Introduction to indexes and their importance in query optimization
Creating and dropping indexes with CREATE INDEX and DROP INDEX statements
Understanding different types of indexes (e.g., B-tree, Hash, Bitmap)
13.6 Views in DDL
Creating and dropping views with CREATE VIEW and DROP VIEW statements
Modifying views with ALTER VIEW statement
Using views for data abstraction and security
13.7 Sequences and Synonyms
Creating and dropping sequences with CREATE SEQUENCE and DROP SEQUENCE statements
Using sequences to generate unique numeric values
Creating and dropping synonyms with CREATE SYNONYM and DROP SYNONYM statements
13.8 Partitioning Tables
Understanding table partitioning and its benefits
Creating and dropping partitions with ALTER TABLE statement
Managing partitioned tables for improved performance and manageability
13.9 Data Dictionary Views
Introduction to data dictionary views
Querying data dictionary views to retrieve metadata information
Commonly used data dictionary views for accessing database schema information
13.10 DDL in Transaction Management
Understanding DDL statements in the context of transactions
Transactional properties of DDL statements
Rollback and recovery of DDL operations
13.11 DDL Best Practices and Guidelines
Best practices for using DDL statements effectively
Guidelines for designing and maintaining database schema
Performance considerations and optimization techniques
13.12 Advanced Topics in DDL
DDL in distributed and federated databases
DDL in cloud-based and serverless database environments
Future trends and developments in DDL
« Previous MongoDB Tutorial 12. SQL Queries
14. Data Manipulation Language (DML) Next MongoDB Tutorial »