HQL is an object-oriented query language. Hibernate Query Language(HQL) is same as Structured Query language(SQL), except that in HQL we use entity class name instead of table name.
Hunting Bugs While Sleeping: Property-Based Testing with Continuous IntegrationPaul Lorett Amazona
Talk shared by Paul Amazona during FOSSASIA Summit 2019
https://2019.fossasia.org/event/schedule.html#5061
Thoughts on the essence of property-based testing
and how to use its approach in hunting bugs
via a continuous integration pipeline.
Hunting Bugs While Sleeping: Property-Based Testing with Continuous IntegrationPaul Lorett Amazona
Talk shared by Paul Amazona during FOSSASIA Summit 2019
https://2019.fossasia.org/event/schedule.html#5061
Thoughts on the essence of property-based testing
and how to use its approach in hunting bugs
via a continuous integration pipeline.
In this presentation you will learn everything you need to know about ArrayList. I explain the difference of capacity and size, and I introduce you to the methods of the Java ArrayList class, divided by the interfaces java.util.Collection and java.util.List.
Data Seeding via Parameterized API RequestsRapidValue
A quick guide on how to data seed via parameterized API requests. Parameterization is very important for automation testing. It helps you to iterate on input data with multiple data sets that make your scripts reusable and maintainable. In few scenarios, you can still manage with hard coded request but the same approach will not work out where sheer count of combinations is to be validated. By implementing the right solution, you can keep your code base and test data size at ideal range and still savor the benefits of optimal coverage.
VARIATIONS IN OUTCOME FOR THE SAME MAP REDUCE TRANSITIVE CLOSURE ALGORITHM IM...ijcsit
This paper describes the outcome of an attempt to implement the same transitive closure (TC) algorithm for Apache MapReduce running on different Apache Hadoop distributions. Apache MapReduce is a software framework used with Apache Hadoop, which has become the de facto standard platform for
processing and storing large amounts of data in a distributed computing environment. The research presented here focuses on the variations observed among the results of an efficient iterative transitive closure algorithm when run against different distributed environments. The results from these comparisons
were validated against the benchmark results from OYSTER, an open source Entity Resolution system. The experiment results highlighted the inconsistencies that can occur when using the same codebase with different implementations of Map Reduce.
Below is a given ArrayList class and Main class Your Dreams Our Mission/tuto...davidwarner122
FOR MORE CLASSES VISIT
www.tutorialoutlet.com
Below is a given ArrayList class and Main class in search algorithms. Please modify the existing program so it can time the sequential search and the binary search methods several times each for randomly generated values, and record the results in a table. Do not time individual searches, but groups of them. For example, time 100 searches together or 1,000 searches together. Compare the running times of these two search methods that are obtained during the experiment.
In this presentation you will learn everything you need to know about ArrayList. I explain the difference of capacity and size, and I introduce you to the methods of the Java ArrayList class, divided by the interfaces java.util.Collection and java.util.List.
Data Seeding via Parameterized API RequestsRapidValue
A quick guide on how to data seed via parameterized API requests. Parameterization is very important for automation testing. It helps you to iterate on input data with multiple data sets that make your scripts reusable and maintainable. In few scenarios, you can still manage with hard coded request but the same approach will not work out where sheer count of combinations is to be validated. By implementing the right solution, you can keep your code base and test data size at ideal range and still savor the benefits of optimal coverage.
VARIATIONS IN OUTCOME FOR THE SAME MAP REDUCE TRANSITIVE CLOSURE ALGORITHM IM...ijcsit
This paper describes the outcome of an attempt to implement the same transitive closure (TC) algorithm for Apache MapReduce running on different Apache Hadoop distributions. Apache MapReduce is a software framework used with Apache Hadoop, which has become the de facto standard platform for
processing and storing large amounts of data in a distributed computing environment. The research presented here focuses on the variations observed among the results of an efficient iterative transitive closure algorithm when run against different distributed environments. The results from these comparisons
were validated against the benchmark results from OYSTER, an open source Entity Resolution system. The experiment results highlighted the inconsistencies that can occur when using the same codebase with different implementations of Map Reduce.
Below is a given ArrayList class and Main class Your Dreams Our Mission/tuto...davidwarner122
FOR MORE CLASSES VISIT
www.tutorialoutlet.com
Below is a given ArrayList class and Main class in search algorithms. Please modify the existing program so it can time the sequential search and the binary search methods several times each for randomly generated values, and record the results in a table. Do not time individual searches, but groups of them. For example, time 100 searches together or 1,000 searches together. Compare the running times of these two search methods that are obtained during the experiment.
SummaryHW6 Account ManagementIn HW4, you kept track of multiple.pdfARORACOCKERY2111
Summary
HW6: Account Management
In HW4, you kept track of multiple usernames and its associated password using arrays.
However, usernames and passwords are typically part of a “User” object which in turn may be
part of an “Account” object. Accounts also typically require a certain level of security beyond
the typical encryption mechanisms. This assignment goes deeper into the concept of OOP as you
create objects that requires proper rules and scope for correct usage.
Aside: As with Item objects from HW5, Account and User data is typically stored in databases.
Skills Expected
? All the skills from previous Assignment(s)
? Accessors/Mutators
? Overriding methods: equals and toString
Assignment Description
You will write three Class objects and a Driver for each class (i.e. submit six .java files):
? User
? Account
? AccountList
Note: All properties MUST be private
Submission Requirement: The Driver Class
? Each Class designed MUST be submitted with a corresponding “Driver” Class
? The Driver Class should have a main() that demonstrates, at minimum
o Calling the appropriate constructor to create the appropriate instance
o Everyproperty(instancevariables)canbesetandgetcorrectly(whereallowed) ? Every public
method can be called successfully (and return the correct result)
Class Design: User
The User class is intended to be an abstract and simplified representation of a user
Class Properties
? First Name (String)
? Last Name (String)
? Username (String)
? Password (String)
Class Invariant
? First and Last Name must not be empty
? Username must be at least four characters long
? Password must be at least four characters long (is this a good invariant?)
Class Components
? A constructor that sets the initial user data (first name, last name, username, password)
? A getter/setter for each properties set out above
? A toString() method
? An equals() method
Class Design: Account
The Account class is intended to be an abstract and simplified representation of an account
Class Properties
? User (User)
? Balance (double) – represents how much money the user has in the account
Class Invariant
? Must be a valid account
? Balance must not be negative
Class Components
? A constructor that sets the initial User instance and balance amount
? A Getter but not a Setter for the each properties set out above (why?)
? A public method to add to the balance
? A public method to withdraw from the balance
? A toString() method
? An equals() method
Class Design: AccountList
The AccountList class is intended to be an abstract and simplified representation of a list of
accounts.
Class Properties
? Accounts (an array of Account objects – or ArrayList) o No getters or setters* (do you know
why?)
Class Invariant
? Can’t have multiple accounts with the same username
Class Components
? A public method that adds new accounts
? A public (boolean) method that determines whether an account with a given username exists in
the list
Grading Criteria
? User class object
o [2 points] Impl.
A brief overview about how to write human readable and meaningful code. Here is described why and how to write meaningful names of variables or method, what to follow about writing a function for SRP / Open-Closed principle rule, when to write comments and rules of Code Formatting. Advantages of clean code is also described here.
Tutorial on developing a Solr search component pluginsearchbox-com
In this set of slides we give a step by step tutorial on how to develop a fully functional solr search component plugin. Additionally we provide links to full source code which can be used as a template to rapidly start creating your own search components.
Databinding is a part of android-architecture components in an android jetpack. It is a support library and It is used to bind UI components in the layout to data resources in your app. In another word, we can say that Databinding allows you to write expressions that connect variables to the views in the layout.
The Mobile Vision API provides a framework for recognizing objects in photos and videos. The framework includes detectors, which locate and describe visual objects in images or video frames, and an event-driven API that tracks the position of those objects in video.
MobX is the new upcoming state management solution. This blog is all about how to create a simple React-Native app using MobX.
MobX is fast in speed than Redux, its easier to learn & requires less boilerplate code.
Here are some of its main concepts
Stores:
Stores create data sources. A store is basically an ES6 class. the state is automatically derived from a data source by MobX by using ES6 decorators.
1. The store can expose the observable field(s), to which an observer can react. 2. The store can additionally expose some derived observable fields too. Which are pure functions on observable fields? MobX calls them as computed fields. 3. The store can also change the values of observable fields via actions. Only in this way MobX can allow you to change state.
How to use geolocation in react native appsInnovationM
Geolocation will find your current location and Geocoding gives your address (like City Name, Street Name, etc) by Coordinates (Latitude and Longitude).
What is Geolocation?
The most famous and familiar location feature — Geolocation is the ability to track a device using GPS, cell phone towers, WiFi access points or a combination of these. Since devices area unit employed by people, geolocation uses positioning systems to trace associate degree individual’s whereabouts right down to latitude and great circle coordinates, or more practically, a physical address. Both mobile and desktop devices can use geolocation.
Geolocation is accustomed to confirm zone and actual positioning coordinates, like for chase life or shipment shipments.
As everyone knows, a lot of changes made after API level 26 for optimizing Android system’s performance, the battery uses and other system-level problems which I am writing below:
1- Changes in Service. 2- Changes in Broadcast Reciever. 3- Changes in Push Notification
Understanding of react fiber architectureInnovationM
React v16.0 was released with an update to react core algorithm. This new core architecture is named “Fiber”. Facebook has completely rewritten the internals of React from the ground-up while keeping the public API essentially unchanged, in simple terms it means only changing the engine of a running car. With this release, some new features are also added like Asynchronous Rendering, Portals, Error Boundaries, Fragments (i.e. return array of elements). Incremental rendering is the headline addition to React which adds the ability to split rendering work into chunks.
Automatic reference counting (arc) and memory management in swiftInnovationM
Memory management is a key factor when we developing apps. If a program is using a lot of memory it can affect badly on your device making apps run slowly or even cause crashes. So for that in swift, you can work with Automatic Reference Counting (ARC) to keep your apps memory usage minimal. This doesn’t mean you can forget about the memory in your app but it does take care of most things for you.
Firebase crashlytics integration in iOS swift (dSYM File Required Problem Res...InnovationM
Nowadays, Firebase Crashlytics is a very important part of our projects to monitor crashes of our applications that may be an android or iOS application. For the time being it is an unbeatable tool to log your day to day crashes for each user of your application.
By default, every function has a property called prototype this property by default is empty and you can add properties and methods to it and when you create an object from this function. The object inherits its properties and methods.
With the introduction of React 16.8 in 2018, React team came up with a new concept of “Hooks”. In this blog we are going to tell the reason behind creating hooks and also how to use them in a React application.
Razorpay Payment Gateway Integration In iOS SwiftInnovationM
Razorpay is the fastest growing Payment Solution. Most of the developers prefer Razorpay as the Payment solution in India. It is robust and provides developer friendly API & SDK for Android, iOS etc.
Line Messaging API Integration with Spring-BootInnovationM
The Line Messaging API is to establish communication between Line ChatBot and your server. If you want to create a chatbot where line user can send message’s and your server will reply for those messages then Line Messaging API is the right choice for you.
ReactJS or more popularly known as React was developed in the year 2011 by Jordan Walke, a software engineer at Facebook. It was created to cater to the need of updating a particular section of the Facebook page without refreshing it.
Redux is a library which is used to maintain a state of the application at an application level, it reduces the complexity of managing different states of the components when the app is getting comparatively larger, it provides the privilege to maintain a state of different components efficiently.
Integration of Highcharts with React ( JavaScript library )InnovationM
Highcharts is a front-end javascript library which is made to design the charts on web pages. ReactJS is also a javascript library for UI design. Now If we need to create a chart in ReactJS, there is a good news that several libraries (like ReCharts, Victory, VX, React-JSX-Highcharts, React-VIS etc.) are available which can be used for this purpose.
Serialization & De-serialization in JavaInnovationM
When you create a class, you may create an object for that particular class and once we execute/terminate the program, the object is destroyed by itself (Garbage Collector thread).
Stream concept is introduced in java 1.8 and present in java.util.stream package.It is used to process the object from collection or any group of objects or data source.
How to Make Each Round of Testing Count?InnovationM
We are doing write thing, as we need to check and test all the buttons, textbox, text values, validations, etc. While doing all this we should not forget our audience. We maybe be thinking stuffs in technical way but other non-tech guy will also use this app or website. We have to make it friendlier for them too.
MVP is a design pattern for developers to write their code in more readable, maintainable and
scalable manner. In MVP, our code is divided into three parts named as Model, View, and Presenter rather than placing the whole code in one Activity.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Leading Change strategies and insights for effective change management pdf 1.pdf
Hibernate Query Language
1. Hibernate Query Language
In this tutorial will discuss about Hibernate Query Language. HQL is an object-oriented
query language. Hibernate Query Language(HQL) is same as Structured Query
language(SQL), except that in HQL we use entity class name instead of table name.
HQL provides its own syntax and grammar
Ex. From Employee emp .
Where Employee is an entity class which are associate with employee table and emp is
alias name of Employee class.
It is alternative of SQL query Select* from employe .
All hibernate query are translated by hibernate in to structured query for further
processing. Hibernate also provide a way to use structured query in hibernate. HQL
syntax is not case sensitive but class name and variables name are case sensitive.
Query Interface: It is n object-oriented representation of a Hibernate query. We can
get Queryinstance by Session.createQuery().
This interface provide the various method :
1. public int executeUpdate() – Execute the update or delete statement.
2. public String getNamedParameters() – It return the names of all named
parameters of the query.
3. public String[] getQueryString() – Get the query string.
4. public List list() – It return the query results as a List.
5. public Query setMaxResults(int maxResults) – It is used to set the maximum
number of rows to retrieve.
6. public Object uniqueResult() – It is used to return a single instance that
matches the query, or null if the query returns no results.
Let’s take a look of CRUD operations using HQL.
2. 1. Select Query: Retrieve an employee detail where employee id is 255.
1
2
3
Query query = session.createQuery("From Employee where employeeId= :id ");
query.setParameter("id", "255");
List list = query.list();
2. Update Query : Update Employee name where id is 255.
1
2
3
4
Query query = session.createQuery("Update Employee set employeeName =:eName"
+ " where employeeId= :id");
query.setParameter("employeeName ", "AKASH");
query.setParameter("id", "255");
int result = query.executeUpdate();
3. DELETE Query: Delete employee where id is 255
1
2
3
Query query = session.createQuery("Delete Employee where employeeName = :id");
query.setParameter(":id", "255");
int result = query.executeUpdate();
4. Insert Query : In HQL , we can only insert values from another table.
1
2
Query query = session.createQuery("insert into Employee (employee_code,
employee_name)" +"select employee_code, employee_name from employee_info");
int result = query.executeUpdate();
Note: The query.executeUpdate() will return how many number of record has been
inserted, updated or deleted.
For More Information Visit :- InnovationM