PACKAGES, Package Specification and Scope, Create Package Syntax, Declaring Procedures and Functions within a Package, Package Body, Create Package Body Syntax,Example –Package, Example– Package Body, Example – Calling Package Procedure, mResults of Calling Package Procedure, Cursors in Packages , cursor Example – Package Body, Example – Use Cursor Variable
1) LR(0) parsers use left-to-right, rightmost derivations with 0-token lookahead to parse context-free grammars deterministically.
2) The states of the LR(0) automaton are sets of parsing items that indicate the progress of recognizing productions.
3) Parsing tables are constructed from the automaton to specify the shift and reduce actions and state transitions based on the next input symbol.
1. The document discusses different types of exceptions in PL/SQL including predefined/system-defined exceptions and user-defined exceptions.
2. Some examples of common predefined exceptions are zero_divide, value_error, and no_data_found. These are defined by Oracle and have predefined error codes and messages.
3. User-defined exceptions are declared explicitly and can be raised using the RAISE statement. They allow developers to build custom exceptions.
The C programming language allows defining new data types using the typedef keyword. Typedef can be used to give a new name to an existing data type, creating a synonym. For example, typedef can define BYTE as an unsigned char for one-byte numbers. Typedef can also be used to define new structured data types by combining existing types, such as defining a structure for employee data and using typedef to create a new data type Emp from it. This allows directly defining Emp variables without needing the struct keyword. The example demonstrates collecting employee data using this new Emp type.
The document discusses stacks and their applications. It describes stacks as last-in, first-out data structures and covers stack operations like push and pop. Common uses of stacks include expression evaluation, recursion, reversing data structures, and printing job queues. The document also discusses time and space complexity analysis of algorithms, conversion between infix, postfix and prefix notation, and software engineering principles like the software development life cycle.
Database Modeling Using Entity.. Weak And Strong Entity Typesaakanksha s
Data modeling is a technique for organizing data in a system by applying formal modeling methods. It involves creating conceptual, logical, and physical data models. Key elements of data modeling include entities, attributes, relationships, domains, keys, and cardinality. Weak entities differ from strong entities in that weak entities do not have attributes to form a primary key and instead inherit their primary key from the strong entity they are dependent on through an identifying relationship.
This document discusses SQL queries and provides examples of different types of queries:
1) Queries on a single relation to retrieve instructor names, department names, and salaries.
2) Queries with joins across multiple relations to retrieve instructor names, department names, and building names.
3) Queries to find instructor names and courses taught using a Cartesian product between the instructor and teaches relations.
In computer science, a stack is an abstract data type that serves as a collection of elements, with two main principal operations: push, which adds an element to the collection, and pop, which removes the most recently added element that was not yet removed.
The document discusses views in SQL. It defines views as logical tables that represent data from one or more underlying tables. Views can be queried, updated, and deleted from like tables but do not occupy storage space. The document describes simple views based on a single table and complex views involving joins across multiple tables. It provides examples of creating, modifying, dropping, and querying views. The document also discusses indexes in SQL, describing them as pointers that speed up data retrieval. It covers B-tree and bitmap indexes and provides examples of creating indexes on tables.
Packages in Java allow grouping of related classes and interfaces to avoid naming collisions. Some key points about packages include:
- Packages allow for code reusability and easy location of files. The Java API uses packages to organize core classes.
- Custom packages can be created by specifying the package name at the beginning of a Java file. The class files are then compiled to the corresponding directory structure.
- The import statement and fully qualified names can be used to access classes from other packages. The classpath variable specifies locations of package directories and classes.
This document discusses string handling functions in C programming. It defines a string as an array of characters and introduces the string.h header file, which contains functions for manipulating strings like strlen(), strcmp(), strcmpi(), strcpy(), and strcat(). It explains what each function does, including getting the length of a string, comparing strings, copying one string to another, and concatenating two strings.
Pointers in C are variables that store memory addresses. They allow accessing and modifying the value stored at a specific memory location. Pointers contain the address of another variable as their value. To use pointers, they must first be declared along with the data type of the variable being pointed to. The address of the variable is then assigned to the pointer using the & operator. The value at the address can then be accessed using the * operator in front of the pointer variable name. The NULL pointer is a constant with a value of 0 that indicates an unassigned pointer. When a pointer is incremented, its value increases by the scale factor, which is the length of the data type being pointed to.
The document discusses various Java operators including:
- Assignment operators like = that store values
- Arithmetic operators like +, -, *, /, % for math operations
- Relational operators like >, <, ==, != for comparisons
- Logical operators like &&, ||, ! for boolean logic
- Bitwise operators like &, |, ^, ~ for bit manipulation
- Shift operators like <<, >>, >>> for shifting bits left or right
Examples are provided to demonstrate the usage of each operator type.
This document provides an introduction to data structures. It defines key terms like data, information, records and files. It also describes different types of data structures like arrays, linked lists, stacks, queues, trees and graphs. Linear and non-linear data structures are explained. Common operations on data structures like insertion, deletion and searching are outlined. The document also defines what an algorithm is and provides an example of an algorithm to add two numbers. It concludes by describing time and space complexity analysis of algorithms.
This document provides a summary of threads in Python. It begins by defining what a thread is and how it allows for multitasking by time-division multiplexing the processor between threads. It then discusses how to start new threads in Python using the thread and threading modules, including examples. It also covers how to create threads that subclass the Thread class and how to synchronize threads using locks.
Binary trees are a data structure where each node has at most two children. A binary tree node contains data and pointers to its left and right child nodes. Binary search trees are a type of binary tree where nodes are organized in a manner that allows for efficient searches, insertions, and deletions of nodes. The key operations on binary search trees are searching for a node, inserting a new node, and deleting an existing node through various algorithms that traverse the tree. Common traversals of binary trees include preorder, inorder, and postorder traversals.
This document discusses data types and variables in Java. It explains that there are two types of data types in Java - primitive and non-primitive. Primitive types include numeric types like int and float, and non-primitive types include classes, strings, and arrays. It also describes different types of variables in Java - local, instance, and static variables. The document provides examples of declaring variables and assigning literals. It further explains concepts like casting, immutable strings, StringBuffer/StringBuilder classes, and arrays.
The document discusses different types of JOIN operations in SQL including:
- INNER JOIN, which combines records from two tables based on common values and returns matched records
- OUTER JOIN, which returns all records from one or both tables even if they do not meet the join condition
- LEFT and RIGHT OUTER JOINs return all records from the left or right table respectively
- SEMI JOIN returns records from the left table that have matching records in the right table
- THETA JOIN allows a more general join condition specified by a binary operator like less than, greater than, etc.
The document discusses enumerated data types in C programming, which allow the programmer to define their own data type consisting of a set of named constants, and explains how to define an enumerated type using the enum keyword along with syntax examples. It also covers related topics like typedefs which define new names for existing types, bit fields to reduce the size of integer members in a struct, and examples of each.
The document discusses various built-in functions in MySQL for manipulating date, time, string, and numeric data. It describes functions for formatting dates, extracting date elements, adding or subtracting times, concatenating and modifying strings. Common functions covered include DATE_FORMAT(), NOW(), CURDATE(), CONCAT(), REPLACE(), LEFT(), RIGHT(), and MID().
This document discusses top-down parsing and predictive parsing techniques. It explains that top-down parsers build parse trees from the root node down to the leaf nodes, while bottom-up parsers do the opposite. Recursive descent parsing and predictive parsing are introduced as two common top-down parsing approaches. Recursive descent parsing may involve backtracking, while predictive parsing avoids backtracking by using a parsing table to determine the production to apply. The key steps of a predictive parsing algorithm using a stack and parsing table are outlined.
A linked list is a linear data structure where each element (node) is a separate object, connected to the previous and next elements by references. The first element is referred to as the head of the linked list and the last element is referred to as the tail. The nodes in a linked list can store data or simply act as a reference to the next node. Linked lists have several advantages, such as dynamic sizing and easy insertion and deletion of elements. They are commonly used in a variety of applications, such as implementing stacks, queues, and dynamic memory allocation.
There are several types of linked lists, including:
1. Singly linked list: Each node has a reference to the next node in the list.
2. Doubly linked list: Each node has a reference to both the next and previous node in the list.
3. Circular linked list: The last node in the list points back to the first node, creating a loop.
4. Multilevel linked list: Each node in a linked list can contain another linked list.
5. Doubly Circular linked list: Both the first and last node points to each other, forming a circular loop.
6. Skip list: A probabilistic data structure where each node has multiple references to other nodes.
7. XOR linked list: Each node stores the XOR of the addresses of the previous and next nodes, rather than actual addresses.
PL/SQL is Oracle's procedural language extension to SQL that allows developers to write programs that combine SQL statements to manipulate data with procedural programming constructs like variables, conditions, and loops. PL/SQL code can be executed on the Oracle server for improved performance compared to executing multiple SQL statements individually. PL/SQL blocks contain a declaration section, executable section, and optional exception handling section. Named blocks can be stored in the database as procedures, functions, or packages while anonymous blocks are executed once.
This document discusses SQL queries and provides examples of different types of queries:
1) Queries on a single relation to retrieve instructor names, department names, and salaries.
2) Queries with joins across multiple relations to retrieve instructor names, department names, and building names.
3) Queries to find instructor names and courses taught using a Cartesian product between the instructor and teaches relations.
In computer science, a stack is an abstract data type that serves as a collection of elements, with two main principal operations: push, which adds an element to the collection, and pop, which removes the most recently added element that was not yet removed.
The document discusses views in SQL. It defines views as logical tables that represent data from one or more underlying tables. Views can be queried, updated, and deleted from like tables but do not occupy storage space. The document describes simple views based on a single table and complex views involving joins across multiple tables. It provides examples of creating, modifying, dropping, and querying views. The document also discusses indexes in SQL, describing them as pointers that speed up data retrieval. It covers B-tree and bitmap indexes and provides examples of creating indexes on tables.
Packages in Java allow grouping of related classes and interfaces to avoid naming collisions. Some key points about packages include:
- Packages allow for code reusability and easy location of files. The Java API uses packages to organize core classes.
- Custom packages can be created by specifying the package name at the beginning of a Java file. The class files are then compiled to the corresponding directory structure.
- The import statement and fully qualified names can be used to access classes from other packages. The classpath variable specifies locations of package directories and classes.
This document discusses string handling functions in C programming. It defines a string as an array of characters and introduces the string.h header file, which contains functions for manipulating strings like strlen(), strcmp(), strcmpi(), strcpy(), and strcat(). It explains what each function does, including getting the length of a string, comparing strings, copying one string to another, and concatenating two strings.
Pointers in C are variables that store memory addresses. They allow accessing and modifying the value stored at a specific memory location. Pointers contain the address of another variable as their value. To use pointers, they must first be declared along with the data type of the variable being pointed to. The address of the variable is then assigned to the pointer using the & operator. The value at the address can then be accessed using the * operator in front of the pointer variable name. The NULL pointer is a constant with a value of 0 that indicates an unassigned pointer. When a pointer is incremented, its value increases by the scale factor, which is the length of the data type being pointed to.
The document discusses various Java operators including:
- Assignment operators like = that store values
- Arithmetic operators like +, -, *, /, % for math operations
- Relational operators like >, <, ==, != for comparisons
- Logical operators like &&, ||, ! for boolean logic
- Bitwise operators like &, |, ^, ~ for bit manipulation
- Shift operators like <<, >>, >>> for shifting bits left or right
Examples are provided to demonstrate the usage of each operator type.
This document provides an introduction to data structures. It defines key terms like data, information, records and files. It also describes different types of data structures like arrays, linked lists, stacks, queues, trees and graphs. Linear and non-linear data structures are explained. Common operations on data structures like insertion, deletion and searching are outlined. The document also defines what an algorithm is and provides an example of an algorithm to add two numbers. It concludes by describing time and space complexity analysis of algorithms.
This document provides a summary of threads in Python. It begins by defining what a thread is and how it allows for multitasking by time-division multiplexing the processor between threads. It then discusses how to start new threads in Python using the thread and threading modules, including examples. It also covers how to create threads that subclass the Thread class and how to synchronize threads using locks.
Binary trees are a data structure where each node has at most two children. A binary tree node contains data and pointers to its left and right child nodes. Binary search trees are a type of binary tree where nodes are organized in a manner that allows for efficient searches, insertions, and deletions of nodes. The key operations on binary search trees are searching for a node, inserting a new node, and deleting an existing node through various algorithms that traverse the tree. Common traversals of binary trees include preorder, inorder, and postorder traversals.
This document discusses data types and variables in Java. It explains that there are two types of data types in Java - primitive and non-primitive. Primitive types include numeric types like int and float, and non-primitive types include classes, strings, and arrays. It also describes different types of variables in Java - local, instance, and static variables. The document provides examples of declaring variables and assigning literals. It further explains concepts like casting, immutable strings, StringBuffer/StringBuilder classes, and arrays.
The document discusses different types of JOIN operations in SQL including:
- INNER JOIN, which combines records from two tables based on common values and returns matched records
- OUTER JOIN, which returns all records from one or both tables even if they do not meet the join condition
- LEFT and RIGHT OUTER JOINs return all records from the left or right table respectively
- SEMI JOIN returns records from the left table that have matching records in the right table
- THETA JOIN allows a more general join condition specified by a binary operator like less than, greater than, etc.
The document discusses enumerated data types in C programming, which allow the programmer to define their own data type consisting of a set of named constants, and explains how to define an enumerated type using the enum keyword along with syntax examples. It also covers related topics like typedefs which define new names for existing types, bit fields to reduce the size of integer members in a struct, and examples of each.
The document discusses various built-in functions in MySQL for manipulating date, time, string, and numeric data. It describes functions for formatting dates, extracting date elements, adding or subtracting times, concatenating and modifying strings. Common functions covered include DATE_FORMAT(), NOW(), CURDATE(), CONCAT(), REPLACE(), LEFT(), RIGHT(), and MID().
This document discusses top-down parsing and predictive parsing techniques. It explains that top-down parsers build parse trees from the root node down to the leaf nodes, while bottom-up parsers do the opposite. Recursive descent parsing and predictive parsing are introduced as two common top-down parsing approaches. Recursive descent parsing may involve backtracking, while predictive parsing avoids backtracking by using a parsing table to determine the production to apply. The key steps of a predictive parsing algorithm using a stack and parsing table are outlined.
A linked list is a linear data structure where each element (node) is a separate object, connected to the previous and next elements by references. The first element is referred to as the head of the linked list and the last element is referred to as the tail. The nodes in a linked list can store data or simply act as a reference to the next node. Linked lists have several advantages, such as dynamic sizing and easy insertion and deletion of elements. They are commonly used in a variety of applications, such as implementing stacks, queues, and dynamic memory allocation.
There are several types of linked lists, including:
1. Singly linked list: Each node has a reference to the next node in the list.
2. Doubly linked list: Each node has a reference to both the next and previous node in the list.
3. Circular linked list: The last node in the list points back to the first node, creating a loop.
4. Multilevel linked list: Each node in a linked list can contain another linked list.
5. Doubly Circular linked list: Both the first and last node points to each other, forming a circular loop.
6. Skip list: A probabilistic data structure where each node has multiple references to other nodes.
7. XOR linked list: Each node stores the XOR of the addresses of the previous and next nodes, rather than actual addresses.
PL/SQL is Oracle's procedural language extension to SQL that allows developers to write programs that combine SQL statements to manipulate data with procedural programming constructs like variables, conditions, and loops. PL/SQL code can be executed on the Oracle server for improved performance compared to executing multiple SQL statements individually. PL/SQL blocks contain a declaration section, executable section, and optional exception handling section. Named blocks can be stored in the database as procedures, functions, or packages while anonymous blocks are executed once.
Oracle - Program with PL/SQL - Lession 08Thuan Nguyen
This document discusses handling exceptions in PL/SQL. It defines exceptions as identifiers raised during execution due to Oracle errors or being explicitly raised. Exceptions can be trapped with handlers or propagated. There are predefined Oracle exceptions as well as user-defined exceptions. Handlers use an EXCEPTION WHEN clause and can trap specific or all exceptions. Functions like SQLCODE and SQLERRM provide error details. The RAISE_APPLICATION_ERROR procedure issues user errors. Exceptions propagate to calling environments if unhandled.
The document discusses various PL/SQL programming concepts including PL/SQL block structure, procedures, functions, packages, cursors, exceptions, and dependencies. It provides guidelines for proper naming conventions, restrictions on calling functions from SQL expressions, and best practices for cursor and package design. The document also covers object types, subtypes, and working with collections in PL/SQL.
PL/SQL is Oracle's procedural language extension to SQL that allows users to manipulate and process Oracle data. PL/SQL code can reside on both the client-side and server-side. When executed on the server-side, the entire PL/SQL block is passed to the Oracle server for processing. When on the client-side, only SQL statements are sent to the server for processing while the rest of the block runs on the client. PL/SQL blocks contain a declare, executable, and exception handling section and can be either named or anonymous. Named blocks can be stored procedures and functions while anonymous cannot be stored.
The document provides an overview of advanced PL/SQL programming concepts including:
- Decision control structures like IF/THEN, IF/THEN/ELSE, and nested IF statements.
- Using SQL queries within PL/SQL programs.
- Implementing loops using LOOP/EXIT, WHILE, FOR, and cursor FOR loops.
- Retrieving and manipulating database data using implicit and explicit cursors.
- Handling runtime errors through the use of predefined, undefined, and user-defined exceptions.
This document provides an introduction to Java programming. It discusses what Java is, its key characteristics like being object-oriented and portable, and how to get started with Java programming. It also covers Java concepts like classes, methods, variables, data types, operators, and how to compile and run a simple Java application.
The document discusses several SQL concepts:
[1] Subqueries, which can be noncorrelated (independent of the outer query) or correlated (contains references to the outer query). Correlated subqueries cannot be run independently.
[2] Views, which provide security, simplify queries, and insulate from changes, but can reduce performance and manageability. Views restrict access and update capabilities.
[3] Stored procedures, which increase performance but require specialized skills. Stored procedures accept parameters, contain multiple statements, and perform modifications, while views are limited to single SELECTs.
PL/SQL is a programming language that combines the SQL operations of querying and manipulating data in an Oracle database with the procedural language constructs of variables, conditions, and loops. PL/SQL can be used for database-side programming as well as client-side application development. It provides advantages like better performance, portability, higher productivity, and integration with Oracle. PL/SQL supports various data types, control structures, exception handling, and object-oriented programming features. Cursors allow processing of multiple rows returned from a SQL statement and can be static, dynamic, or reference types. Procedures and functions are reusable program units that allow passing parameters and returning values.
An exception is a runtime error or warning condition. There are two types of exceptions: predefined exceptions raised implicitly by the runtime system, and user-defined exceptions raised explicitly with RAISE statements. Exceptions are handled with exception handlers. Predefined exceptions correspond to common Oracle errors like division by zero. User-defined exceptions must be declared. The RAISE_APPLICATION_ERROR procedure can be used to raise user-defined exceptions within PL/SQL blocks.
An exception is a runtime error or warning condition. There are two types of exceptions: predefined exceptions raised implicitly by the runtime system, and user-defined exceptions raised explicitly using RAISE statements. Exceptions are handled using exception handlers within blocks of code. Predefined exceptions correspond to common Oracle errors, while user-defined exceptions must be declared and implemented by the user. RAISE statements are used to explicitly raise user-defined exceptions.
This document provides an overview of Java programming concepts. It introduces Java, discusses its key characteristics like being object-oriented and portable, and covers basic Java concepts such as variables, data types, operators, and methods. It includes examples of simple Java programs and explains how to compile and run a Java application. The document is intended to teach beginners how to get started with Java programming.
This document provides an overview of Java programming concepts. It introduces Java, discusses its key characteristics like being object-oriented and portable, and covers basic Java concepts such as variables, data types, operators, and methods. It also demonstrates how to compile and run a simple Java application and includes examples of code snippets.
This document provides an overview of Java programming concepts. It introduces Java, discusses its key characteristics like being object-oriented and portable, and covers basic Java concepts such as variables, data types, operators, and methods. It includes examples of simple Java programs and explains how to compile and run a Java application. The document is intended to teach beginners how to get started with Java programming.
This document provides an overview of Java programming concepts. It introduces Java, discusses its key characteristics like being object-oriented and portable, and covers basic Java concepts such as variables, data types, operators, and methods. It includes examples of simple Java programs and explains how to compile and run a Java application. The document is intended to teach beginners how to get started with Java programming.
Charles WilliamsCS362Unit 3 Discussion BoardStructured Query Langu.docxchristinemaritza
Charles WilliamsCS362Unit 3 Discussion Board
Structured Query Language for Data Management 1
Structured Query Language for Data Management 36-04-17
Table of Contents
Phase 1- Database Design and DDL 3
Business Rules & Entity Tables 3
Entity Tables: 4
SQL CODE: 4
Screenshots: 8
Phase 2 – Security and DML 13
Task 1 14
Task 2 15
Task 3 16
Task 4 17
Task 5 18
Phase 3 - DML (Select) and Procedures 19
Task 1 19
Task 2 20
Task 3 21
Task 4 22
Task 5 23
Phase 4 – Architecture, Indexes 27
Step 1: CREATE TABLE [Degrees] 27
Step 2: Re-create ‘Classes’ TABLE to add ‘DegreeID’ column and INSERT 6 classes 29
Step 3: ALTER TABLE [Students] 31
Step 5: DML script to INSERT INTO the ‘Students’ table ‘DegreeID’ data 33
Step 6: Display ERD 36
Phase 5 – Views, Transactions, Testing and Performance 37
References 38
Phase 1- Database Design and DDL
I contracted to design and develop a database for CTU that will store individual and confidential university data. This database is required to give the back-end engineering to a front-end web application with an instinctive User/Interface (U/I) to be utilized by the college HR office. We've chosen to utilize Microsoft SQL Server 2012 given the way of information to be put away because it will be more secure, and it additionally gives a suite of server upkeep apparatuses to be deserted with the IT Department once the database and web application have been tried and acknowledged by college partners.
Amid our preparatory gatherings, CTU's necessities were characterized and enough perused to start making of the database. The accompanying areas contain the business tenets and element tables created amid the preparatory gatherings, and additionally duplicates of all the SQL code used to manufacture the database and make the Entity Relationship Diagram (ERD).
Business Rules & Entity Tables
Business Rules:
· A student has a name, a birth date, and gender.
· You must track the date the student started at the university and his or her current GPA, as well as be able to inactivate him or her without deleting information.
· For advising purposes, store the student's background/bio information. This is like a little story.
· An advisor has a name and an e-mail address.
· Students are assigned to one advisor, but one advisor may service multiple students.
· A class has a class code, name, and description.
· You need to indicate the specific classes a student is taking/has taken at the university. Track the date the student started a specific class and the grade earned in that class.
· Each class that a student takes has 4 assignments. Each assignment is worth 100 points.Entity Tables:
SQL CODE:
Create Database:
CREATE DATABASE [Cameron_CTU]
CONTAINMENT = NONE
ON PRIMARY
( NAME = N'Cameron_CTU', FILENAME = N'c:\Program Files\Microsoft SQL Server\MSSQL11.SCAMERON_CTU\MSSQL\DATA\Cameron_CTU.mdf' , SIZE = 3072KB , FILEGROWTH = 1024KB )
LOG ON
( NAME = N'Cameron_CTU_log', FILENAME = N'c:\Progra ...
London SF Developers: Custom Lightning Component Error HandlingRichard Clark
aka Essential Eight Lessons for Error Handling in Lightning Custom Component Development.
Covering some of the common pitfalls of handling errors when developing Lightning Components and my own modest recommendations for how you can avoid them, plus some best practices. As part of my role at Provar I get asked to investigate when our customer's tests are seen to be failing in order to diagnose whether the fault is in Salesforce or a missing feature of Provar. I've learned the astonishing ways in which people are publishing code for Lightning Components without basic error handling to a point I'd argue is irresponsible! This led me down a deeper and deeper rabbit hole which, like Alice, I'd like to share so you can all safely reach the Lightning Wonderland!
How to avoid IT Asset Management mistakes during implementation_PDF.pdfvictordsane
IT Asset Management (ITAM) is no longer optional. It is a necessity.
Organizations, from mid-sized firms to global enterprises, rely on effective ITAM to track, manage, and optimize the hardware and software assets that power their operations.
Yet, during the implementation phase, many fall into costly traps that could have been avoided with foresight and planning.
Avoiding mistakes during ITAM implementation is not just a best practice, it’s mission critical.
Implementing ITAM is like laying a foundation. If your structure is misaligned from the start—poor asset data, inconsistent categorization, or missing lifecycle policies—the problems will snowball.
Minor oversights today become major inefficiencies tomorrow, leading to lost assets, licensing penalties, security vulnerabilities, and unnecessary spend.
Talk to our team of Microsoft licensing and cloud experts to look critically at some mistakes to avoid when implementing ITAM and how we can guide you put in place best practices to your advantage.
Remember there is savings to be made with your IT spending and non-compliance fines to avoid.
Send us an email via [email protected]
Mastering Selenium WebDriver: A Comprehensive Tutorial with Real-World Examplesjamescantor38
This book builds your skills from the ground up—starting with core WebDriver principles, then advancing into full framework design, cross-browser execution, and integration into CI/CD pipelines.
Launch your own super app like Gojek and offer multiple services such as ride booking, food & grocery delivery, and home services, through a single platform. This presentation explains how our readymade, easy-to-customize solution helps businesses save time, reduce costs, and enter the market quickly. With support for Android, iOS, and web, this app is built to scale as your business grows.
Why Tapitag Ranks Among the Best Digital Business Card ProvidersTapitag
Discover how Tapitag stands out as one of the best digital business card providers in 2025. This presentation explores the key features, benefits, and comparisons that make Tapitag a top choice for professionals and businesses looking to upgrade their networking game. From eco-friendly tech to real-time contact sharing, see why smart networking starts with Tapitag.
https://tapitag.co/collections/digital-business-cards
Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell
It's time you stopped letting your telemetry data pressure your budgets and get in the way of solving issues with agility! No more I say! Take back control of your telemetry data as we guide you through the open source project Fluent Bit. Learn how to manage your telemetry data from source to destination using the pipeline phases covering collection, parsing, aggregation, transformation, and forwarding from any source to any destination. Buckle up for a fun ride as you learn by exploring how telemetry pipelines work, how to set up your first pipeline, and exploring several common use cases that Fluent Bit helps solve. All this backed by a self-paced, hands-on workshop that attendees can pursue at home after this session (https://o11y-workshops.gitlab.io/workshop-fluentbit).
How to Troubleshoot 9 Types of OutOfMemoryErrorTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Driving Manufacturing Excellence in the Digital AgeSatishKumar2651
manufacturing sector who are seeking innovative solutions to overcome operational challenges and achieve sustainable growth.
In this deck, you'll discover:
✅ Key industry challenges and trends reshaping manufacturing
✅ The growing role of IoT, AI, and ERP in operational excellence
✅ Common inefficiencies that impact profitability
✅ A real-world smart factory case study showing measurable ROI
✅ A modular, cloud-based digital transformation roadmap
✅ Strategic insights to optimize production, quality, and uptime
Whether you're a CXO, plant director, or digital transformation leader, this presentation will help you:
Identify gaps in your current operations
Explore the benefits of integrated digital solutions
Take the next steps in your smart manufacturing journey
🎯 Perfect for:
Manufacturing CEOs, COOs, CTOs, Digital Transformation Officers, Production Managers, and ERP Implementation Leaders.
📩 Want a personalized walkthrough or free assessment? Reach out to us directly.
AEM User Group DACH - 2025 Inaugural Meetingjennaf3
🚀 AEM UG DACH Kickoff – Fresh from Adobe Summit!
Join our first virtual meetup to explore the latest AEM updates straight from Adobe Summit Las Vegas.
We’ll:
- Connect the dots between existing AEM meetups and the new AEM UG DACH
- Share key takeaways and innovations
- Hear what YOU want and expect from this community
Let’s build the AEM DACH community—together.
Maximizing ROI with Odoo Staff Augmentation A Smarter Way to ScaleSatishKumar2651
Discover how Odoo Staff Augmentation can help your business achieve faster ERP implementation, reduced project costs, and a significantly higher return on investment (ROI). In this presentation, we dive deep into the challenges of in-house ERP resource management and showcase a clear, data-backed comparison between traditional hiring and on-demand Odoo staff augmentation.
Whether you're a startup scaling quickly or an enterprise optimizing your ERP workflows, this SlideShare provides valuable insights into:
✅ What is Odoo Staff Augmentation
✅ Key business benefits of augmenting your Odoo team
✅ ROI framework with real-world metrics
✅ Visual cost vs. value comparison
✅ Case study from a successful Odoo implementation
✅ When and why to consider staff augmentation
✅ Engagement models that work for businesses of all sizes
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2. Errors
• Two types of errors can be found in a program:
compilation errors and runtime errors.
• There is a special section in a PL/SQL block that
handles the runtime errors.
• This section is called the exception-handling section,
and in it, runtime errors are referred to as
exceptions.
• The exception-handling section allows programmers
to specify what actions should be taken when a
specific exception occurs.
3. How to handle Exception
• In order to handle run time errors in the
program, an exception handler must be
added.
• The exception-handling section has the
following structure:
EXCEPTION
WHEN EXCEPTION_NAME
THEN
ERROR-PROCESSING STATEMENTS;
• The exception-handling section is placed
after the executable section of the block.
4. How exception can be classified???
Build-in exception
Userdefined exception
5. BUILT-IN EXCEPTIONS
When a built-in exception occurs, it is said to
be raised implicitly.
In other words, if a program breaks an Oracle
rule, the control is passed to the exception-
handling section of the block.
At this point, the error processing statements
are executed.
It is important for you to realize that after the
exception-handling section of the block has
executed, the block terminates.
Control will not return to the executable section
of this block.
6. This example produces the
following output:
There is no such student
PL/SQL procedure
successfully completed.
Why???
Because there is no record
in the STUDENT table with
student ID 101, the SELECT
INTO statement does not
return any rows.
As a result, control passes
to the exception-handling
section of the block, and
the error message “There is
no such student” is
displayed on the screen.
Even though there is a
DBMS_OUTPUT.PUT_LINE
statement right after the
SELECT statement, it will
not be executed because
control has been
transferred to the
exception-handling section.
Example
DECLARE
v_student_name
VARCHAR2(50);
BEGIN
SELECT first_name||‘
’||last_name
INTO v_student_name
FROM student
WHERE student_id = 101;
DBMS_OUTPUT.PUT_LINE
(‘Student name
is’||v_student_name);
EXCEPTION
WHEN NO_DATA_FOUND
THEN
DBMS_OUTPUT.PUT_LINE
(‘There is no such student’);
END;
7. What are predefined exception??
The list shown below explains some commonly used predefined
exceptions and how they are raised:
NO_DATA_FOUND This exception is raised when a SELECT
INTO statement, which makes no calls to group functions, such
as SUM or COUNT, does not return any rows.
For example, you issue a SELECT INTO statement against
STUDENT table where student ID equals 101.
If there is no record in the STUDENT table passing this criteria
(student ID equals 101), the NO_DATA_FOUND exception is
raised.
8. TOO_MANY_ROWS
This exception is raised when a SELECT INTO
statement returns more than one row.
By definition, a SELECT INTO can return only single
row.
If a SELECT INTO statement returns more than one
row, the definition of the SELECT INTO statement
is violated.
This causes the TOO_MANY_ROWS exception to be
raised.
For example, you issue a SELECT INTO statement
against the STUDENT table for a specific zip code.
There is a big chance that this SELECT statement
will return more than one row because many
students can live in the same zip code area.
9. ZERO_DIVIDE
This exception is raised when a division operation is
performed in the program and a divisor is equal to zero.
Previous example in the illustrates how this exception is
raised.
LOGIN_DENIED
This exception is raised when a user is trying to login on
to Oracle with invalid username or password.
10. PROGRAM_ERROR
This exception is raised when a PL/SQL program
has an internal problem
VALUE_ERROR
This exception is raised when conversion or size
mismatch error occurs.
For example, you select student’s last name into a
variable that has been defined as VARCHAR2(5).
If student’s last name contains more than five
characters, VALUE_ERROR exception is raised.
11. DUP_VALUE_ON_INDEX
This exception is raised when a program tries to
store a duplicate value in the column or columns
that have a unique index defined on them.
For example, you are trying to insert a record into
the SECTION table for the course number “25,”
section 1.
If a record for the given course and section
numbers already exists in the SECTION table,
DUP_VAL_ON_INDEX exception is raised because
these columns have a unique index defined on
them.
12. Example
FROM enrollment
WHERE student_id = v_student_id;
DBMS_OUTPUT.PUT_LINE
('Student is registered for '||v_total||' course(s)');
*/inner block*/EXCEPTION
WHEN VALUE_ERROR OR INVALID_NUMBER
THEN
DBMS_OUTPUT.PUT_LINE('An error has
occurred');
END;
*/outer block */
EXCEPTION
WHEN NO_DATA_FOUND
THEN
DBMS_OUTPUT.PUT_LINE('There is no such student');
END;
13. • The inner block has structure similar to the outer block.
• It has a SELECT INTO statement and an exception
section to handle errors.
• When VALUE_ERROR or INVALID_NUMBER error occurs
in the inner block, the exception is raised.
• It is important that you realize that exceptions
VALUE_ERROR and INVALID_NUMBER have been
defined for the inner block only.
• Therefore, they can be raised in the inner block only.
• If one of these errors occurs in the outer block, this
program will be unable to terminate successfully.
14. User Defined Exceptions
• Often in programs you may need to handle
problems that are specific to the program you
write.
• For example, your program asks a user to enter
a value for student_id. This value is then
assigned to the variable v_student_id that is
used later in the program.
• Generally, you want a positive number for an id.
By mistake, the user enters a negative number.
• However, no error has occurred because
student_id has been defined as a number, and
the user has supplied a legitimate numeric
value.
• Therefore, you may want to implement your
own exception to handle this situation.
15. How to declare user-defined exception
• A user-defined exception is declared in
the declarative part of a PL/SQL block as
shown below:
DECLARE
exception_name EXCEPTION;
• Once an exception has been declared,
the executable statements associated
with this exception are specified in the
exception-handling section of the block.
• The format of the exception-handling
section is the same as for built-in
exceptions
16. Raising Exception
• user-defined
exception must be
raised explicitly.
• In other words, you
need to specify in
your program under
which
circumstances an
exception must be
raised as shown :
DECLARE
exception_name
EXCEPTION;
BEGIN
…
IF CONDITION
THEN
RAISE exception_name;
ELSE
…
END IF;
EXCEPTION
WHEN exception_name
THEN
ERROR-PROCESSING
STATEMENTS;
END;
17. example
declare
e exception;
vamt number(10);
begin
select amt into vamt from
ac_det where acno=124;
vamt:=vamt-77000;
if(vamt<2000) then
raise e;
end if;
exception
when e then
dbms_output.put_line('Minimum
balance amount conflict');
* end;
SQL> /
Declare exception if the particular data
is not found
Raise exception ‘E’
If ‘E’ is exception the it will be
displayed as
‘minimum amount conflict’