PL/SQL Development Training

RexGalaxy Academy's PL/SQL Development Training is a practical Oracle database programming course designed for learners who want to become confident PL/SQL developers, Oracle developers, database developers, report developers, and backend database support professionals.

This program covers the complete PL/SQL development journey from Oracle SQL fundamentals to reusable stored program units and project-ready database development. Students learn Oracle schema objects, SQL query writing, PL/SQL block structure, variables, data types, conditions, loops, cursors, records, collections, exception handling, transactions, procedures, functions, packages, triggers, sequences, dynamic SQL, DBMS packages, bulk processing, performance basics, debugging, testing, deployment scripts, and portfolio project documentation.

The course is built around guided code practice and database lab work. Students do not only read syntax; they write scripts, test output, debug errors, validate business rules, design reusable routines, create packages, build trigger-based audit logic, compare row-by-row and bulk processing, prepare deployment folders, and complete a capstone project that can be explained during interviews and portfolio reviews.

Students should be able to:

• Write SQL and PL/SQL programs from fundamentals to reusable stored routines and package-based projects.

• Use cursors, records, collections, exceptions, transactions, procedures, functions, packages, triggers, dynamic SQL, DBMS packages and performance basics.

• Prepare test scripts, deployment notes, debugging evidence, documentation, capstone evidence and interview-ready explanations.

• Build practical portfolio artifacts such as SQL report packs, logic scripts, cursor programs, error-safe modules, routine libraries, reusable packages, audit solutions, bulk demos, deployment folders and final PL/SQL capstone projects.

• Prepare for PL/SQL developer, Oracle developer, database developer, production support, report developer and backend support roles.

Build the base for Oracle database programming with SQL, schema objects, tools and PL/SQL purpose.

• Understand Oracle database overview including tables, rows, columns, schemas, users, transactions, constraints, indexes and stored program units.

• Set up tools such as SQL Developer, SQL*Plus awareness, connection details, worksheet workflow, script execution and output review.

• Revise SQL with SELECT, WHERE, ORDER BY, DISTINCT, aliases, expressions, null handling and filtering practice.

• Practice single-row functions for character, number, date, conversion, conditional expressions and reporting queries.

• Work with joins and set operators including inner joins, outer joins, self joins, UNION, INTERSECT, MINUS and result validation.

• Build group reports using aggregate functions, GROUP BY, HAVING, rollup awareness and summary result interpretation.

• Learn DML basics including INSERT, UPDATE, DELETE, MERGE awareness, COMMIT, ROLLBACK and safe transaction habits.

• Review database objects including tables, views, sequences, synonyms, indexes, constraints and dependency awareness.

• Understand PL/SQL purpose for procedural logic near data, reusable routines, business rules, validations and batch processing.

• Lab outcome: create sample schema, run SQL reports, write first anonymous block, test output and document scripts.

Learn the structure of PL/SQL programs with declarations, executable sections, exceptions, variables and scope.

• Understand block structure with DECLARE, BEGIN, EXCEPTION and END sections, statement terminators, comments, indentation and readable formatting.

• Write anonymous blocks for quick testing, script-based practice, output display and learning when anonymous blocks are useful.

• Declare variables and constants with naming conventions, assignment, initialization, NOT NULL awareness and scope discipline.

• Use data types such as VARCHAR2, NUMBER, DATE, BOOLEAN and CLOB awareness while choosing suitable types for program logic.

• Apply anchored declarations using %TYPE and %ROWTYPE for schema change safety, table-column references and record alignment.

• Work with expressions and operators including arithmetic, comparison, logical operators, concatenation, precedence and null behavior.

• Use DBMS_OUTPUT with server output, put_line messages, debugging logs and avoiding excessive output.

• Use SELECT INTO for single-row values, no data found, too many rows and validation checks.

• Understand scope and lifetime including local variables, nested blocks, shadowing awareness, reusable declarations and clean naming.

• Lab outcome: write calculation blocks, fetch employee data, format messages, use %TYPE and handle single-row lookup cases.

Build decision-making and repeated processing logic with IF, CASE, LOOP, WHILE, FOR and nested problem solving.

• Write conditional logic using IF, ELSIF, ELSE, nested IF, Boolean checks, null comparisons and readable decision structures.

• Use CASE expressions and statements for simple CASE, searched CASE, return values, branch clarity and replacing complex IF chains.

• Practice basic LOOP with loop body, EXIT, EXIT WHEN, counters, termination conditions and avoiding infinite loops.

• Use WHILE loops for condition-first repetition, validation scenarios, counters and safe loop control.

• Use FOR loops for numeric ranges, reverse loops, clean iteration and report-style processing.

• Understand nested loops with parent-child processing awareness, performance caution, loop labels and indentation habits.

• Build validation programs for input checks, business rules, status calculation, category assignment and message generation.

• Learn control transfer awareness with CONTINUE, RETURN in subprograms, labels and avoiding confusing flow.

• Follow a problem-solving approach: break requirements into variables, decisions, loops, output, test cases and edge cases.

• Lab outcome: build grade calculator, salary rule engine, date range loop, status report, nested logic practice and validation block.

Process query results with implicit cursors, explicit cursors, cursor FOR loops, records and collection structures.

• Use implicit cursor attributes such as SQL%ROWCOUNT, SQL%FOUND, SQL%NOTFOUND, SQL%ISOPEN and DML result verification.

• Understand explicit cursor lifecycle: declare, open, fetch, close, cursor attributes and avoiding open cursor issues.

• Use cursor FOR loops for simplified row processing, automatic open and close, readable loops and report generation.

• Create parameterized cursors for reusable queries, input values, filtering and practical data processing routines.

• Work with records including custom records, table-based records, %ROWTYPE, field access and grouping related values.

• Understand collections including associative arrays, nested tables, varrays awareness and when collections are useful.

• Practice collection operations such as initialize, extend awareness, count, first, last, exists, delete, iteration and safe access.

• Design cursors by selecting required columns, using proper filters, avoiding unnecessary loops and managing query cost.

• Build data processing patterns for row validation, summary creation, batch updates, report rows and audit preparation.

• Lab outcome: create employee cursor report, department-wise processing, collection-based lookup, cursor attributes and record practice.

Handle failures safely with predefined exceptions, custom exceptions, transactions, savepoints and logging discipline.

• Understand exception section, runtime errors, exception propagation, handled versus unhandled errors and program stability.

• Use predefined exceptions such as NO_DATA_FOUND, TOO_MANY_ROWS, ZERO_DIVIDE, DUP_VAL_ON_INDEX and common database scenarios.

• Create custom exceptions for business rule failures, clear error messages and controlled program behavior.

• Use RAISE_APPLICATION_ERROR for application-specific errors, error numbers, messages and controlled failures.

• Capture SQLCODE and SQLERRM for diagnostic messages, safe logging and support-friendly troubleshooting.

• Manage transactions with COMMIT, ROLLBACK, SAVEPOINT, atomic work and avoiding accidental data changes.

• Write exception-safe DML with affected row checks, validation before update, rollback on failure and final status reporting.

• Design error logging patterns with log tables, timestamps, module names, input values, error codes and messages.

• Test edge cases such as missing records, duplicate keys, constraint violations, invalid inputs and unexpected nulls.

• Lab outcome: build exception-safe update script, custom validation error, savepoint demo, error log table and rollback test.

Create reusable stored routines with parameters, return values, validation, dependencies and clean execution flow.

• Understand stored procedure purpose for reusable database actions, business operations, batch tasks, API-style routines and support scripts.

• Write procedure syntax using CREATE OR REPLACE, parameters, local declarations, executable logic, exception section and compilation.

• Use parameter modes IN, OUT and IN OUT with defaults awareness, parameter naming and practical use cases.

• Create functions for returning values, calculation routines, validation checks, SQL callable awareness and purity caution.

• Work with return values including RETURN statement, data type selection, null behavior and predictable function design.

• Execute routines using anonymous block calls, SQL Developer run, SQL*Plus execution awareness and output verification.

• Manage dependencies including object references, invalidation awareness, recompilation and impact of table or package changes.

• Follow design habits such as small routines, meaningful names, clear parameters, minimal side effects and reusable logic.

• Understand security and grants with execute privilege, owner rights versus invoker rights awareness and controlled routine access.

• Lab outcome: create salary procedure, tax calculation function, validation function, OUT parameter demo and routine test script.

Organize PL/SQL code using package specifications, bodies, public APIs, private logic and reusable utilities.

• Understand package concepts for grouping related procedures, functions, variables, cursors, types and constants in one module.

• Separate specification and body with public declarations, implementation details, compile order and interface versus implementation thinking.

• Design public and private members by exposing only required routines, hiding helper logic and creating clean package APIs.

• Use package variables with session state awareness, initialization, reset considerations and safe use in applications.

• Apply overloading with same routine names, different signatures, readability, use cases and avoiding confusion.

• Understand package initialization with one-time session execution awareness, setup values and operational caution.

• Manage dependencies through recompilation, invalid objects, cross-package calls and impact analysis.

• Build utility packages such as validation package, report package, audit package, calculation package and shared helper routines.

• Document routine purpose, parameters, return values, examples, change notes and package-level comments.

• Lab outcome: build employee package, validation utility package, report package, private helper routine and package test script.

Automate database actions with triggers, sequences, audit logic, validation rules and safe design decisions.

• Understand trigger purpose for automatic actions on table events, validation, audit capture, derived values and data protection.

• Learn trigger types including BEFORE, AFTER, INSTEAD OF awareness, row-level, statement-level and event timing decisions.

• Write DML trigger structure for INSERT, UPDATE and DELETE events, :OLD and :NEW records, conditions and use cases.

• Use sequences for generated IDs, NEXTVAL, CURRVAL awareness, identity column awareness and primary key assignment.

• Design audit tables to capture who changed data, when, what changed, old values, new values and clean audit structure.

• Create validation triggers for business rule checks, preventing invalid data, readable error messages and avoiding duplicate rules.

• Understand trigger caution including mutating table issues, hidden logic risk, performance impact and debugging difficulty.

• Review compound trigger awareness for statement and row sections, shared state and advanced trigger scenarios.

• Compare automation alternatives such as constraints, generated columns, stored procedures and scheduled jobs.

• Lab outcome: create sequence-based ID trigger, audit trigger, validation trigger, trigger test script and troubleshooting notes.

Use dynamic SQL carefully and explore Oracle built-in packages for output, files, scheduling, metadata and utilities.

• Understand dynamic SQL purpose for changing table names, optional clauses, DDL execution, flexible statements and controlled use cases.

• Use EXECUTE IMMEDIATE syntax for DDL, DML and SELECT INTO awareness, bind variables and result handling.

• Apply bind variables for injection prevention, performance benefits, safe parameters and avoiding unsafe string concatenation.

• Use DBMS_OUTPUT for debugging output, formatted logs, development visibility and production caution.

• Explore DBMS_METADATA awareness for extracting object DDL, schema documentation and migration support.

• Review DBMS_SCHEDULER awareness for job scheduling, program execution, repeat intervals, job logs and operational control.

• Understand UTL_FILE awareness for file read and write concepts, directory objects, permissions and safe file handling.

• Use DBMS_APPLICATION_INFO awareness for module/action tagging, traceability and performance monitoring support.

• Follow security caution around dynamic SQL risks, object privileges, grants, SQL injection and validation before execution.

• Lab outcome: build dynamic report query, safe bind demo, metadata extraction, scheduler concept demo and utility checklist.

Improve PL/SQL performance with bulk operations, efficient SQL, plan awareness, indexing basics and measurement habits.

• Build a performance mindset: measure first, understand data volume, reduce unnecessary loops, test changes and verify improvement.

• Understand context switching between SQL engine and PL/SQL engine, row-by-row processing cost and bulk processing value.

• Use BULK COLLECT for fetching multiple rows, LIMIT clause awareness, memory control and collection-based processing.

• Use FORALL for bulk DML execution, SAVE EXCEPTIONS awareness, error handling and large update patterns.

• Write efficient SQL with set-based operations, early filtering, avoiding unnecessary SELECT star and pushing work to SQL where possible.

• Understand index awareness including how indexes help searches, selectivity, composite indexes and update cost trade-offs.

• Review execution plan basics including explain plan awareness, full table scan, index scan, joins and identifying obvious issues.

• Understand statistics awareness including optimizer statistics, stale data impact, gather stats awareness and performance observation notes.

• Use code review checklists for unnecessary commits, repeated queries inside loops, missing filters, hard-coded values and excessive output.

• Lab outcome: compare row-by-row versus bulk update, use BULK COLLECT limit, review plan output and tune a simple report query.

Prepare PL/SQL code for real environments with compile checks, testing scripts, debugging, versioning and release discipline.

• Follow compilation workflow with syntax errors, SHOW ERRORS, invalid objects, warnings awareness and clean recompilation habits.

• Practice debugging using DBMS_OUTPUT messages, variable checks, step-by-step reasoning, error reproduction and log review.

• Build testing approach with positive tests, negative tests, boundary cases, null cases, duplicate cases and transaction rollback tests.

• Manage test data with sample tables, seed scripts, expected output, cleanup scripts and repeatable lab conditions.

• Understand unit testing awareness including utPLSQL concept, assertions, test suite awareness and automated database test direction.

• Prepare deployment scripts such as create scripts, alter scripts, grants, synonyms, rollback scripts, execution order and environment notes.

• Use version control awareness for file naming, script folders, Git awareness, change notes, review process and avoiding manual-only changes.

• Follow code standards for formatting, naming, comments, exception rules, parameter style and package documentation.

• Create release checklist with compile status, dependency checks, grants, test execution, backup awareness, approval and post-release validation.

• Lab outcome: debug broken package, create test script, prepare deployment folder, compile invalid objects and write release checklist.

Complete a portfolio-ready PL/SQL project and prepare interview explanations for Oracle database developer roles.

• Plan capstone around business requirements, tables, relationships, constraints, sample data, modules, reports and acceptance criteria.

• Choose project options such as employee management, inventory, billing, banking mini-system, student portal, helpdesk or sales reporting system.

• Build core features with SQL reports, procedures, functions, packages, triggers, sequences, validations, exceptions and transaction handling.

• Add advanced features such as cursor processing, collections, dynamic SQL where useful, bulk processing demo and performance observation.

• Prepare documentation with schema diagram, object list, setup steps, test cases, output screenshots, known limitations and improvement plan.

• Create portfolio evidence including source scripts, package specification and body, execution screenshots, test data, error log and final demo notes.

• Revise interview topics such as SQL joins, subqueries, constraints, indexes, PL/SQL blocks, cursors, exceptions, packages, triggers and tuning basics.

• Practice scenarios such as no data found, duplicate key, slow cursor loop, invalid package, failed deployment, rollback need and wrong result case.

• Discuss career direction for PL/SQL developer, Oracle developer, database developer, production support, report developer and backend support roles.

• Final outcome: deliver a complete PL/SQL capstone and confidently explain code, database objects, testing and career readiness.