Oracle PL/SQL Training Curriculum
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ORACLE SQL TRAINING COURSE CONTENT
Chapter 1: Introduction
Describe the features of Oracle Database 12c
Describe the salient features of Oracle Cloud 12c
Explain the theoretical and physical aspects of a relational database
Describe Oracle servers implementation of RDBMS and object relational database management system (ORDBMS)
Chapter 2: Basic DATABASE Concept and SQL
Basic history of database concept: DBMS, RDBMS, ORDBMS
Advantage of ORACLE database and version information
Interface tools usage: sqlplus, isqlplus, sqldeveloper, Toad
SQL Language overview : DQL, DML, DDL, DCL, TCL
What is the usage of ANSI standard
SELECT Command – Column Alias Rules, String data
Concatenations with various data
Null Value handling with number and characters
Arithmetic Operator
Concatenation Operator
Eliminating Duplicate Rows >
Chapter 3: Restricting and Sorting Data
WHERE Clause – Character Strings and Dates, number
General Comparison Conditions = > >= < <= <>
Other Comparison BETWEEN , IN , LIKE , NULL
Logical Conditions AND OR NOT
ORDER BY Clause, Sorting by Column Alias , Column Position, Multiple Columns
Chapter 4: Single-Row Functions
Character Functions: UPPER, LOWER, INITCAP, LENGTH, SUBSTR, INSTR, LPAD, RPAD, CONCAT, LTRIM, RTRIM, TRIM, REPLACE, TRANSLATE, REVERSE
Number Functions: ROUND, TRUNC, MOD, POWER, CEIL , FLOOR, ABS
Dates Functions: SYSDATE, MONTHS_BETWEEN, NEXT_DAY, LAST_DAY, ADD_MONTHS, ROUND, TRUNC, Arithmetic on Date
Conversion Functions: Implicit Data-Type Conversion & Explicit Data-Type Conversion, TO_CHAR ,TO_NUMBER ,TO_DATE
General Functions: NVL , NVL2 , NULLIF, COALESCE
CASE Expression, DECODE
Nested function with real-time usage
Chapter 5: JOINS
EQUI JOIN / SIMPLE JOIN / NORMAL JOIN
ANSI JOIN, LEFT OUTER, RIGHT OUTER, FULL OUTER
NATURAL JOIN, NATURAL OUTER JOINS
INNER JOIN, JOIN … USING clause, JOIN … ON clause
CROSS JOIN, NON-EQUI JOIN, SELF JOIN
ORACLE STANDARD OUTER JOINS
Multi table Joins, Complex Joins How to simplified complex joins
Chapter 6: Multi-row Functions
Group Functions Rules, SUM, MIN, MAX, COUNT, AVG
Creating Groups of Data: GROUP BY Clause
Filtering Group Results: The HAVING Clause
Chapter 7: Sub-queries
Single-Row Subqueries- Rules, Operators : = > >= < <= <>
Null Values in a Subquery
Multi-Row Subqueries- Rules, Operators : IN, ANY , ALL
Chapter 8: Reporting data using interface commands
Pagesize, linesize , column heading , column format , colsep
tTitle , bTitle , break on column, spool , CSV file generation, Text file generation
Chapter 9: Data Manipulation Language DML and Transaction Control Language TCL
DML : INSERT, UPDATE, DELETE, MERGE
TCL : COMMIT, ROLLBACK, SAVEPOINT
Chapter 10: Data Definition Language – DDL
DDL : CREATE, ALTER, RENAME, DROP, TRUNCATE
DEFAULT OPTION
Constrain table copy
Chapter 11: Constraints
NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, CHECK
Column Level Constraint, Table Level Constraint Naming constraints and usage
Adding a Constraint, Dropping a Constraint
Disabling Constraints, Enabling Constraints
Validating Constraints
Chapter 12: Views
Simple Views and Complex Views Create, Drop, Source Code
Rules for Performing DML Operations on a View
WITH CHECK OPTION , WITH READ ONLY
Inline Views
Materialized View Create, Refresh, Drop – Usage
Chapter 13: Other Database Objects
Sequence- NEXTVAL and CURRVAL
Index – When to Create an Index, When Not to Create an Index.
Synonyms
Chapter 14: DCL COMMANDS
Creating Users
Granting / Revoking Privileges
Creating and Granting Privileges to a Role
Chapter 15: Dictionary Tables
Tables, Views, Synonyms, Index, Sequence, Constrains, Source and other Dictionary
Chapter 16: SET Operators
UNION
UNION ALL
INTERSECT
MINUS Chapter 17: Advanced Date-time Functions
TIME ZONES
SYSDATE, SYSTIMESTAMP
CURRENT_DATE , CURRENT_TIMESTAMP
SESSIONTIMEZONE
Storing time zone data in Table
EXTRACT
TO_YMINTERVAL
Chapter 18: Advanced GROUP BY Clause
Group by with ROLLUP
Group by with CUBE
GROUPING SETS
Chapter 19: Advanced Subqueries
Pairwise Comparison Subquery
Nonpairwise Comparison Subquery
Correlated Subqueries
Correlated UPDATE
Correlated DELETE
EXISTS , NOT EXISTS Operator
Chapter 20: Hierarchical Retrieval
Walking the Tree: From the Bottom Up , From the Top Down
LEVEL Pseudo column
Connect by prior
Chapter 21: Multi-table Insert
Unconditional INSERT ALL
Conditional INSERT ALL
Conditional FIRST INSERT
Chapter 23: Analytic Functions
SQLLDR Loading CSV file / Flat file into ORACLE table.
Chapter 24: Backup
Chapter 25: General discussion
What is migration?
Migration Estimating, Planning, Preparation Simple Scenario / Complex Scenario.
ANALYTIC SQL TRAINING COURSE MODULES
Chapter 1: Grouping and Aggregating Data Using SQL
Generating Reports by Grouping Related Data
Review of Group Functions
Reviewing GROUP BY and HAVING Clause
Using the ROLLUP and CUBE Operators
Using the GROUPING Function
Working with GROUPING SET Operators and Composite Columns
Using Concatenated Groupings with Example
Chapter 2: Hierarchical Retrieval
Using Hierarchical Queries
Sample Data from the EMPLOYEES Table
Natural Tree Structure
Hierarchical Queries: Syntax
Walking the Tree: Specifying the Starting Point
Walking the Tree: Specifying the Direction of the Query
Using the WITH Clause
Hierarchical Query Example: Using the CONNECT BY Clause
Chapter 3: Working with Regular Expressions
Introducing Regular Expressions
Using the Regular Expressions Functions and Conditions in SQL and PL/SQL
Introducing Metacharacters
Using Metacharacters with Regular Expressions
Regular Expressions Functions and Conditions: Syntax
Performing a Basic Search Using the REGEXP_LIKE Condition
Finding Patterns Using the REGEXP_INSTR Function
Extracting Substrings Using the REGEXP_SUBSTR Function
Chapter 4: Analyzing and Reporting Data Using SQL
Overview of SQL for Analysis and Reporting Functions
Using Analytic Functions
Using the Ranking Functions
Using Reporting Functions
Chapter 5: Performing Pivoting and Unpivoting Operations
Performing Pivoting Operations
Using the PIVOT and UNPIVOT Clauses
Pivoting on the QUARTER Column: Conceptual Example
Performing Unpivoting Operations
Using the UNPIVOT Clause Columns in an UNPIVOT Operation
Creating a New Pivot Table: Example
Chapter 6: Pattern Matching using SQL
Row Pattern Navigation Operations
Handling Empty Matches or Unmatched Rows
Excluding Portions of the Pattern from the Output
Expressing All Permutations
Rules and Restrictions in Pattern Matching
Examples of Pattern Matching
Chapter 7: Modeling Data Using SQL
Using the MODEL clause
Demonstrating Cell and Range References
Using the CV Function
Using FOR Construct with IN List Operator, incremental values and Subqueries
Using Analytic Functions in the SQL MODEL Clause
Distinguishing Missing Cells from NULLs
Using the UPDATE, UPSERT and UPSERT ALL Options
Reference Models
SQL STATEMENT TUNING TRAINING COURSE MODULES
Chapter 1: Exploring the Oracle Database Architecture
Describe the major architectural components of Oracle Database server
Explain memory structures
Describe background processes
Correlate logical and physical storage structures
Chapter 2: Introduction to SQL Tuning
Describe what attributes of a SQL statement can make it perform poorly
Describe the Oracle tools that can be used to tune SQL
Explain the tuning tasks
Chapter 3: Introduction to the Optimizer
Describe the execution steps of a SQL statement
Explain the need for an optimizer
Explain the various phases of optimization
Control the behavior of the optimizer
Chapter 4: Interpreting Execution Plans
Gather execution plans
Display execution plans, display xplan
Interpret execution plans
Chapter 5: Application Tracing
Configure the SQL Trace facility to collect session statistics
Use the trcsess utility to consolidate SQL trace files
Format trace files using the tkprof utility
Interpret the output of the tkprof command
Chapter 6: Optimizer Operations
Describe the SQL operations for tables and indexes
Describe the possible access paths for tables and indexes
Chapter 7: Optimizer: Join Operations
Describe the SQL operations for joins
Describe the possible access paths for joins
Chapter 8: Other Optimizer Operations
Describe Clusters, In-List, Sorts, Filters and Set Operations
Use Result Cache operations
Chapter 9: Case Study: Star Transformation
Define a star schema, a star query plan without transformation and a star query plan after transformation
Chapter 10: Optimizer Statistics
Gather optimizer statistics
Gather system statistics
Set statistic preferences
Use dynamic sampling
Manipulate optimizer statistics
Chapter 11: Using Bind Variables
Explain the benefits of using bind variables
Use bind peeking
Use adaptive cursor sharing
Chapter 12: SQL Tuning Advisor
Describe statement profiling
Use SQL Tuning Advisor
Chapter 13: Using SQL Access Advisor
Chapter 14: Automating SQL Tuning
Chapter 15: SQL Plan Management
Manage SQL performance through changes
Set up SQL Plan Management
Set up various SQL Plan Management scenarios
Chapter 16: Using Optimizer Hints
Use hints when appropriate
Specify hints for Optimizer mode, Query transformation, Access path, Join orders, Join methods and Views
Chapter 17: Parallel Processing Concepts
Explain what parallel processing is and why is it useful
Chapter 18: Basics of Parallel Execution
Describe operations that can be parallelized
Explain parallel execution theory
Understand impact of initiali zation parameter on parallel execution
Chapter 19: Manual DOP Management
Understand an explain plan of a parallel query
Understand an explain plan of parallel DML and DDL
Chapter 20: Simplified Auto DOP
Understand the new parameters of Auto DOP
Explain when to use Auto DOP
Use Auto DOP
Chapter 21: Statement Queuing
Explain statement queuing, concurrency and DBRM
Chapter 22: In-Memory Parallel execution
Use in-memory parallel execution
Chapter 23: Partitioning Concepts
Explain the available partitioning strategies
Explain partition pruning
Implement partition enhancements in star query optimization
Chapter 24: Materialized Views
Use summaries to improve performance
Differentiate materialized view types
ORACLE PL/SQL TRAINING COURSE CONTENT
Chapter 1: Introduction
Course Objectives
Course Agenda
Human Resources (HR) Schema
Introduction to SQL Developer
Chapter 2: Introduction to PL/SQL
PL/SQL Overview
Benefits of PL/SQL Subprograms
Overview of the Types of PL/SQL blocks
Create a Simple Anonymous Block
Generate Output from a PL/SQL Block
Chapter 3: PL/SQL Identifiers
List the different Types of Identifiers in a PL/SQL subprogram
Usage of the Declarative Section to define Identifiers
Use variables to store data
Identify Scalar Data Types
The %TYPE Attribute
What are Bind Variables?
Sequences in PL/SQL Expressions
Chapter 4: Write Executable Statements
Describe Basic PL/SQL Block Syntax Guidelines
Comment Code
Deployment of SQL Functions in PL/SQL
How to convert Data Types?
Nested Blocks
Identify the Operators in PL/SQL
Chapter 5: Interaction with the Oracle Server
Invoke SELECT Statements in PL/SQL to Retrieve data
Data Manipulation in the Server Using PL/SQL
SQL Cursor concept
Usage of SQL Cursor Attributes to Obtain Feedback on DML
Save and Discard Transactions
Chapter 6: Control Structures
Conditional processing Using IF Statements
Conditional processing Using CASE Statements
Use simple Loop Statement
Use While Loop Statement
Use For Loop Statement
Describe the Continue Statement
Chapter 7: Composite Data Types
Use PL/SQL Records
The %ROWTYPE Attribute
Insert and Update with PL/SQL Records
Associative Arrays (INDEX BY Tables)
Examine INDEX BY Table Methods
Use INDEX BY Table of Records
Chapter 8: Explicit Cursors
What are Explicit Cursors?
Declare the Cursor
Open the Cursor
Fetch data from the Cursor
Close the Cursor
Cursor FOR loop
Explicit Cursor Attributes
FOR UPDATE Clause and WHERE CURRENT Clause
Chapter 9: Exception Handling
Understand Exceptions
Handle Exceptions with PL/SQL
Trap Predefined Oracle Server Errors
Trap Non-Predefined Oracle Server Errors
Trap User-Defined Exceptions
Propagate Exceptions
RAISE_APPLICATION_ERROR Procedure
Chapter 10: Stored Procedures and Functions
Understand Stored Procedures and Functions
Differentiate between anonymous blocks and subprograms
Create a Simple Procedure
Create a Simple Procedure with IN parameter
Create a Simple Function
Execute a Simple Procedure
Execute a Simple Function
Chapter 11: Create Stored Procedures
Create a Modularized and Layered Subprogram Design
Modularize Development With PL/SQL Blocks
Describe the PL/SQL Execution Environment
Identity the benefits of Using PL/SQL Subprograms
List the differences Between Anonymous Blocks and Subprograms
Create, Call, and Remove Stored Procedures Using the CREATE Command and SQL Developer
Implement Procedures Parameters and Parameters Modes
View Procedures Information Using the Data Dictionary Views and SQL Developer
Chapter 12: Create Stored Functions
Create, Call, and Remove a Stored Function Using the CREATE Command and SQL Developer
Identity the advantages of Using Stored Functions in SQL Statements
List the steps to create a stored function
Implement User-Defined Functions in SQL Statements
Identity the restrictions when calling Functions from SQL statements
Control Side Effects when calling Functions from SQL Expressions
View Functions Information
Chapter 13: Create Packages
Identity the advantages of Packages
Describe Packages
List the components of a Package
Develop a Package
How to enable visibility of a Packages components?
Create the Package Specification and Body Using the SQL CREATE Statement and SQL Developer
Invoke Package Constructs
View PL/SQL Source Code Using the Data Dictionary
Chapter 14: Packages
Overloading Subprograms in PL/SQL
Use the STANDARD Package
Use Forward Declarations to Solve Illegal Procedure Reference
Implement Package Functions in SQL and Restrictions
Persistent State of Packages
Persistent State of a Package Cursor
Control Side Effects of PL/SQL Subprograms
Invoke PL/SQL Tables of Records in Packages
Chapter 15: Implement Oracle-Supplied Packages in Application Development
What are Oracle-Supplied Packages?
Examples of Some of the Oracle-Supplied Packages
How Does the DBMS_OUTPUT Package Work?
Use the UTL_FILE Package to Interact With Operating System Files
Invoke the UTL_MAIL Package
Write UTL_MAIL Subprograms
Chapter 16: Dynamic SQL
The Execution Flow of SQL
What is Dynamic SQL?
Declare Cursor Variables
Dynamically executing a PL/SQL Block
Configure Native Dynamic SQL to Compile PL/SQL Code
Invoke DBMS_SQL Package
Implement DBMS_SQL with a Parameterized DML Statement
Dynamic SQL Functional Completeness
Chapter 17: Design Considerations for PL/SQL Code
Standardize Constants and Exceptions
Understand Local Subprograms
Write Autonomous Transactions
Implement the NOCOPY Compiler Hint
Invoke the PARALLEL_ENABLE Hint
The Cross-Session PL/SQL Function Result Cache
The DETERMINISTIC Clause with Functions
Usage of Bulk Binding to Improve Performance
Chapter 18: Triggers
Describe Triggers
Identify the Trigger Event Types and Body
Business Application Scenarios for Implementing Triggers
Create DML Triggers Using the CREATE TRIGGER Statement and SQL Developer
Identify the Trigger Event Types, Body, and Firing (Timing)
Statement Level Triggers Versus Row Level Triggers
Create Instead of and Disabled Triggers
How to Manage, Test, and Remove Triggers?
Chapter 19: Create Compound, DDL, and Event Database Triggers
What are Compound Triggers?
Identify the Timing-Point Sections of a Table Compound Trigger
Compound Trigger Structure for Tables and Views
Implement a Compound Trigger to Resolve the Mutating Table Error
Compare Database Triggers to Stored Procedures
Create Triggers on DDL Statements
Create Database-Event and System-Event Triggers
System Privileges Required to Manage Triggers
Chapter 20: The PL/SQL Compiler
What is the PL/SQL Compiler?
Describe the Initialization Parameters for PL/SQL Compilation
List the New PL/SQL Compile Time Warnings
Overview of PL/SQL Compile Time Warnings for Subprograms
List the benefits of Compiler Warnings
List the PL/SQL Compile Time Warning Messages Categories
Setting the Warning Messages Levels: Using SQL Developer, PLSQL_WARNINGS Initialization Parameter, and the DBMS_WARNING Package Subprograms
View Compiler Warnings: Using SQL Developer, SQL*Plus, or the Data Dictionary Views
Chapter 21: Manage PL/SQL Code
What Is Conditional Compilation?
Implement Selection Directives
Invoke Predefined and User-Defined Inquiry Directives
The PLSQL_CCFLAGS Parameter and the Inquiry Directive
Conditional Compilation Error Directives to Raise User-Defined Errors
The DBMS_DB_VERSION Package
Write DBMS_PREPROCESSOR Procedures to Print or Retrieve Source Text
Obfuscation and Wrapping PL/SQL Code
Chapter 22: Manage Dependencies
Overview of Schema Object Dependencies
Query Direct Object Dependencies using the USER_DEPENDENCIES View
Query an Objects Status
Invalidation of Dependent Objects
Display the Direct and Indirect Dependencies
Fine-Grained Dependency Management in Oracle Database 11g
Understand Remote Dependencies
Recompile a PL/SQL Program Unit
Chapter 23: Designing PL/SQL Code
Describe the predefined data types
Create subtypes based on existing types for an application
List the different guidelines for cursor design
Cursor variables
Chapter 24: Using Collections
Overview of collections
Use Associative arrays
Use Nested tables
Use VARRAYs
Compare nested tables and VARRAYs
Write PL/SQL programs that use collections
Use Collections effectively
Chapter 25: Manipulating Large Objects
Describe a LOB object
Use BFILEs
Use DBMS_LOB.READ and DBMS_LOB.WRITE to manipulate LOBs
Create a temporary LOB programmatically with the DBMS_LOB package
Introduction to SecureFile LOBs
Use SecureFile LOBs to store documents
Convert BasicFile LOBs to SecureFile LOB format
Enable reduplication and compression
Chapter 26: Using Advanced Interface Methods
Calling External Procedures from PL/SQL
Benefits of External Procedures
C advanced interface methods
Java advanced interface methods
Chapter 27: Performance and Tuning
Understand and influence the compiler
Tune PL/SQL code
Enable intra unit inlining
Identify and tune memory issues
Recognize network issues
Chapter 28: Improving Performance with Caching
Describe result caching
Use SQL query result cache
PL/SQL function cache
Review PL/SQL function cache considerations
Chapter 29: Analyzing PL/SQL Code
Finding Coding Information
Using DBMS_DESCRIBE
Using ALL_ARGUMENTS
Using DBMS_UTILITY.FORMAT_CALL_STACK
Collecting PL/Scope Data
The USER/ALL/DBA_IDENTIFIERS Catalog View
DBMS_METADATA Package
Chapter 30: Profiling and Tracing PL/SQL Code
Tracing PL/SQL Execution
Tracing PL/SQL Steps
Chapter 31: Implementing VPD with Fine-Grained Access Control
Understand how fine-grained access control works overall
Describe the features of fine-grained access control
Describe an application context
Create an application context
Set an application context
List the DBMS_RLS procedures
Implement a policy
Query the dictionary views holding information on fine-grained access
Chapter 32: Safeguarding Your Code Against SQL Injection Attacks
SQL Injection Overview
Reducing the Attack Surface
Avoiding Dynamic SQL
Using Bind Arguments
Filtering Input with DBMS_ASSERT
Designing Code Immune to SQL Injections
Testing Code for SQL Injection Flaws
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