#deadlock graph

[adrialae]

VALORANT AO3 Stats 2: Ships

(Part 1: Popularity)

I lost my motivation to make graphs for the top ships/tags like I was planning to, but I did notice some interesting things I thought were worth pointing out. (I'll also link the spreadsheet for anyone who wants to see the numbers.)

Interesting Thing 1: This actually wasn't included in the spreadsheet, but I was quite surprised the F/F fics outnumbered every other category considering... the general state of AO3. I think this is the only video game fandom I've been in where that's true, including the game in which 80% of the main cast is female.

2: Considering the top 10 relationship tags for each character (platonic relationships included), Brimstone and Astra* had exactly zero relationships in which they themselves were involved. To me, this seems to indicate that they mainly appear in the background of fics that focus on other characters, so they might actually be less popular than the fic counts alone indicate.

*I think Harbor/Astra should have shown up on Astra's list, tied for sixth, but it didn't and I'm not sure why. (details)

3: Nanobomb (Killjoy/Raze) was in the top 3 ship tags for every character except Deadlock, for whom they were fourth.

4: Remember when I said y'all were horny for Chamber? The top "additional tags" weren't super interesting because they were quite similar across the board, but I did notice that he had Smut in fourth (it was usually in spot 6-8). He was the only character who had more Smut than Hurt/Comfort or Fluff and Angst, and three of his top ten tags were sex-related.

5: Relatedly, /reader ships showed up for five characters. Four of them were Chamber, Sova, Harbor, and Iso. The last one was KAY/O - Chamber/Reader made it onto his list too, probably because there weren't that many KAY/O-centric fics.

6: Fade had the highest proportion of fics tagged with one specific relationship, with 42.5% of her fics featuring Fade/Neon. Iso and Raze were a close second and third. Additionally, Fade's second most popular relationship tag was Fade & Neon.

I think I've reached the limit of things other people might possibly find interesting, but here's the spreadsheet if anyone would like to take a look at it! (No promises about readability, though.)

[thedbahub]

10 Effective Strategies to Prevent and Resolve SQL Server Deadlocks

Understanding Deadlocks A deadlock occurs when two or more processes hold locks on resources the others need, with each process waiting for the other to release its lock. This creates a cycle of dependencies that SQL Server resolves by terminating one process, allowing the others to continue. Dealing with deadlocks in SQL Server, especially when your procedures involve adding records and then…

[lostyesterday]

Percentage of Star Trek Voyager Episodes Focused on Each Major Character

I’ve been thinking about which major characters Voyager spends the most time focusing on, and which characters are more often left in the background. I decided to collect data on this topic, and I made the following graph:

The percentage for each character on the graph represents an estimate of the percentage of the total number of Voyager episodes that are focused on that particular character. Double episodes were counted as singular episodes, bringing the total number of Voyager episodes counted for the graph to 160.

Episodes that I judged as focusing fairly equally on two major Voyager characters counted as half an episode for each of those two characters in my percentage calculation. I decided to do this because I felt it more accurately represented the overall proportion of time that Voyager allocates to each character than if I were to only count episodes that focused solely on one character. Episodes that focused equally on three or more major characters were not counted in the graph.

After tallying every episode that I judged as focusing primarily on either one or two major characters, 22% of Voyager’s episodes remained uncounted. These were generally episodes that focused on the crew as a whole, or on characters outside of the main cast.

Obviously, all of my decisions about which episodes to count for which characters are subjective. There are a lot of complicated questions to ask, such as, how does one draw a distinction between an episode focused on Janeway in particular versus an episode that focuses on the whole crew where Janeway takes the most significant role in the plot simply by virtue of being the Captain? Or how does one count episodes such as Someone to Watch Over Me or The Haunting of Deck Twelve where the major subjects of the story and the character whose perspective it is told through differ? I made my own determinations for each episode, but there is plenty of room for alternate interpretations, some of which might cause a significant shift in the allocation of episodes to each character.

I welcome any disagreement with or discussion about the methodology I used here. I also welcome analysis of what this data means – whether it reflects positively or negatively on Voyager as a show, how it fits with or contradicts popular perceptions, or anything else.

A full list of episodes that I counted for each character is below the cut.

Kathryn Janeway:

Parallax (with Torres – half points)

Time and Again (with Paris – half points)

The 37’s

Resistance

Alliances

Deadlock

Resolutions (with Chakotay – half points)

Sacred Ground

The Q and the Grey

Macrocosm

Coda

Scorpion (with Chakotay – half points)

Year of Hell

Concerning Flight

Prey (with Seven – half points)

The Omega Directive (with Seven – half points)

Hope and Fear (with Seven – half points)

Night

Counterpoint

11:59

Equinox (with Chakotay – half points)

Fair Haven

Good Sheppherd

The Void

Q2

Endgame

Seven of Nine:

The Gift (with Kes – half points)

The Raven

Prey (with Janeway – half points)

Retrospect (with EMH – half points)

The Omega Directive (with Janeway – half points)

One

Hope and Fear (with Janeway – half points)

Drone

Infinite Regress

Bliss

Dark Frontier

Think Tank

Someone to Watch Over Me (with EMH – half points)

Relativity

Survival Instinct

One Small Step

The Voyager Conspiracy

Tsunkatse (with Tuvok – half points)

Collective

Child’s Play

Unimatrix Zero

Imperfection

Body and Soul (with EMH – half points)

Human Error

Natural Law (with Chakotay – half points)

EMH/The Doctor:

Heroes and Demons

Projections

Lifesigns

The Swarm

Real Life

Revulsion (with Torres – half points)

Message in a Bottle

Retrospect (with Seven – half points)

Living Witness

Nothing Human

Latent Image

Someone to Watch Over Me (with Seven – half points)

Tinker Tenor Doctor Spy

Virtuoso

Life Line

Critical Care

Body and Soul (with Seven – half points)

Flesh and Blood

Author, Author

Renaissance Man

B’Elanna Torres

Parallax (with Janeway – half points)

Faces

Prototype

Dreadnought

Remember

Blood Fever

Day of Honor

Revulsion (with EMH – half points)

Random Thoughts (with Tuvok – half points)

Extreme Risk

Juggernaut

Barge of the Dead

Muse

Drive (with Paris – half points)

Lineage

Chakotay:

Initiations

Tattoo

Maneuvers

Resolutions (with Janeway – half points)

Unity

Scorpion (with Janeway – half points)

Nemesis

Waking Moments

Unforgettable

In the Flesh

The Fight

Equinox (with Janeway – half points)

Shattered

Natural Law (with Seven – half points)

Tuvok:

Ex Post Facto (with Paris – half points)

Learning Curve

Meld

Innocence

Flashback

Alter Ego (with Kim – half points)

Rise (with Neelix – half points)

Random Thoughts (with Torres – half points)

Gravity

Riddles (with Neelix – half points)

Tsunkatse (with Seven – half points)

Repression

Harry Kim:

Emanations

Non Sequitur

The Chute (with Paris – half points)

Alter Ego (with Tuvok – half points)

Favorite Son

Timeless

The Disease

Warhead

Ashes to Ashes

Nightingale

Neelix:

Jetrel

Parturition (with Paris – half points)

Investigations (with Paris – half points)

Fair Trade

Rise (with Tuvok – half points)

Mortal Coil

Once Upon a Time

Riddles (with Tuvok – half points)

The Haunting of Deck Twelve

Homestead

Tom Paris:

Time and Again (with Janeway – half points)

Ex Post Facto (with Tuvok – half points)

Parturition (with Neelix – half points)

Threshold

Investigations (with Neelix – half points)

The Chute (with Kim – half points)

Vis a Vis

Thirty Days

Alice

Drive (with Torres – half points)

Kes:

Elogium

Cold Fire

Warlord

Darkling

Before and After

The Gift (with Seven – half points)

Fury

[deckof-dragons]

I've peaked in Deadlock. I doubt I'll ever have a better score than this.

32 kills, zero deaths, massive soul lead, most player and building damage. Holy shit. I was laning against the McGinnis and she fed me hard. She just kept forcing fights. I felt bad. Props to her for staying though most people I own that hard leave.

Here's the graph because wow I was so far ahead there at the end. (If you can't tell from context or color, the line above everyone else the whole game is me.)

Multiple times throughout the match, most of their team would gain up on me but they just could never kill me. I know it wasn't a skill thing, I was just fed super hard, but it sure did feel good.

I'm starting to think though that maybe there's a problem with the match making system if it keeps putting me up against people are struggling so much against me. It's not every game, my other two matches tonight were pretty even, but it does keep happening. I fear it's instilling bad habits in me. Or maybe not bad exactly, but it encourages a passive play style, especially during the laning phase, which isn't always optimal.

But anyway, I just wanted to share this game with the void of Tumblr because like I said at the top, I doubt I'll ever beat this score. And it felt real damn good to clown on the whole enemy team for a bit.

[programmingandengineering]

CSCI 4401/5401 Principles of Operating Systems Assignment 4 (11/7)

Submission: – A single Java file named Deadlock.java – Two output files named output01.txt and output02.txt Introduction There are a variety of approaches to deal with resource deadlocks. For this assignment you’ll investigate deadlock detection. The approach to deadlock detection that we discussed in class is to model resource allocations and requests with a Resource Allocation Graph (RAG).…

[vatt-world]

hi

If you allow me, we can do it today itself if you allow?

Also Question can be asked are listed below:

1.       Double Checked Locking in Singleton

2.       Garbage Collection Types

3.       Thread Pool

4.       Marker Interfaces

5.       Detecting Deadlock

Please see some short answers listed below:

Meanwhile you can also reply with your answer as per your experience while on call with Manager:

Q&A:

1. Double Checked Locking in Singleton

•Pattern to reduce synchronization overhead in Singleton instantiation by checking if the instance is null before and after acquiring a lock.

2. Garbage Collection Types

•Serial: Single-threaded, for small apps.

•Parallel: Multi-threaded, for throughput.

•CMS: Concurrent, minimizes pause time.

•G1: Region-based, balances pause and throughput.

•ZGC: Low-latency, for large heaps.

3. Thread Pool

•A collection of reusable threads. Limit size using ThreadPoolExecutor by setting core and maximum pool sizes.

4. Marker Interfaces

•Interfaces without methods, signaling a property (e.g., Serializable). Used for metadata and runtime checks.

5. Detecting Deadlock

•Thread Dumps: Analyze with tools

•Detection Algorithms: Track resource allocation and wait-for graphs.

•Logging: Add logs to critical sections for traceability.

[subb01]

What to Expect in a Java Coding Interview: A Comprehensive Guide

When preparing for a Java coding interview, understanding what to expect can make the difference between feeling confident and feeling overwhelmed. Companies often test candidates on various levels, from theoretical understanding to hands-on coding challenges. Below, we break down what you can anticipate in a Java coding interview and share an excellent resource to help boost your preparation.

1. Core Java Concepts

Expect questions focused on your understanding of core Java concepts. This includes object-oriented programming (OOP) principles such as inheritance, encapsulation, polymorphism, and abstraction. Additionally, interviewers often delve into:

Java Collections Framework: Lists, Sets, Maps, and how to optimize their use.

Exception Handling: Types of exceptions, try-catch blocks, and custom exceptions.

Multithreading and Concurrency: Threads, Runnable interface, thread lifecycle, synchronization, and issues like deadlocks.

Java Memory Management: Garbage collection, memory leaks, and the heap vs. stack memory.

Java 8 Features: Streams, Optional, and lambda expressions, among other enhancements.

2. Data Structures and Algorithms

Coding interviews place a significant emphasis on your ability to implement and optimize data structures and algorithms. Be prepared to solve problems involving:

Arrays and Strings: Searching, sorting, and manipulation.

Linked Lists: Operations like insertion, deletion, and reversal.

Stacks and Queues: Implementation using arrays or linked lists.

Trees and Graphs: Traversal techniques like BFS (Breadth-First Search) and DFS (Depth-First Search).

Dynamic Programming: Solving problems that require optimization and breaking down complex problems into simpler sub-problems.

Sorting and Searching Algorithms: Familiarity with algorithms like quicksort, mergesort, and binary search is essential.

3. Coding Challenges

Be ready for hands-on coding tests on platforms like HackerRank, LeetCode, or a live coding interview session. Interviewers often assess:

Problem-Solving Skills: Your ability to break down complex problems and devise efficient solutions.

Coding Style: Clean, maintainable code with appropriate use of comments.

Edge Cases and Testing: Your approach to testing and handling edge cases.

4. System Design Questions

Depending on the level of the role, some interviews may include system design questions. While not always required for entry-level positions, these questions test your ability to design scalable and efficient systems. You might be asked to outline the design of a simple system, like an online book library or a URL shortener.

5. Behavioral and Problem-Solving Questions

Beyond technical knowledge, interviewers often probe your problem-solving approach and how you handle challenges. Be prepared for questions such as:

"Explain a time you faced a difficult bug and how you resolved it."

"Describe a project where you implemented a key feature using Java."

These questions allow the interviewer to assess your analytical thinking, teamwork, and ability to learn from experiences.

6. Tips for Success

Practice Regularly: Engage in coding practice on platforms like LeetCode and HackerRank to sharpen your skills.

Understand Time and Space Complexity: Be able to discuss and analyze the efficiency of your code using Big O notation.

Explain Your Thought Process: Walk the interviewer through your logic, even if you get stuck. This shows problem-solving ability and collaboration skills.

Review Java Documentation: Brush up on Java's extensive libraries and best practices.

Recommended Resource for Java Interview Prep

To supplement your interview preparation, I highly recommend watching this in-depth Java interview preparation video. It covers practical tips, coding challenges, and expert insights that can help you build confidence before your interview.

Conclusion

A Java coding interview can be a rigorous test of your technical expertise, problem-solving skills, and coding ability. By understanding what to expect and preparing effectively, you can approach your interview with confidence. Embrace regular practice, stay calm under pressure, and make sure to review the core principles, as they often form the foundation of interview questions.

Prepare well, practice often, and you’ll be ready to showcase your Java skills and land your next big opportunity!

[leetcode1]

LEETCODE 207 : BUILD ADJ LIST BFS PATTERN: COURSE SCHEDULE : C++ SOLUTION

LeetCode Problem 207: Course Schedule requires determining if it’s possible to finish all courses given their prerequisites. The problem can be modeled as a Directed Acyclic Graph (DAG), where each course is a node, and a prerequisite relation forms a directed edge. The task is to check if there’s a cycle in the graph because a cycle implies that the courses cannot be completed (a deadlock of dependencies). This problem can be solved using Topological Sorting or Depth-First Search (DFS) with cycle detection. If no cycle is found, all courses can be completed; otherwise, it's impossible.

[abiinnovate]

Which topic are taught under c++ course

A C++ course typically covers a range of topics designed to introduce students to the fundamentals of programming, as well as more advanced concepts specific to C++. Here's a breakdown of common topics:

1. Introduction to Programming Concepts

Basic Programming Concepts: Variables, data types, operators, expressions.

Input/Output: Using cin, cout, file handling.

Control Structures: Conditional statements (if, else, switch), loops (for, while, do-while).

2. C++ Syntax and Structure

Functions: Definition, declaration, parameters, return types, recursion.

Scope and Lifetime: Local and global variables, static variables.

Preprocessor Directives: #include, #define, macros.

3. Data Structures

Arrays: Single and multi-dimensional arrays, array manipulation.

Strings: C-style strings, string handling functions, the std::string class.

Pointers: Pointer basics, pointer arithmetic, pointers to functions, pointers and arrays.

Dynamic Memory Allocation: new and delete operators, dynamic arrays.

4. Object-Oriented Programming (OOP)

Classes and Objects: Definition, instantiation, access specifiers, member functions.

Constructors and Destructors: Initialization of objects, object cleanup.

Inheritance: Base and derived classes, single and multiple inheritance, access control.

Polymorphism: Function overloading, operator overloading, virtual functions, abstract classes, and interfaces.

Encapsulation: Use of private and public members, getter and setter functions.

Friend Functions and Classes: Use and purpose of friend keyword.

5. Advanced Topics

Templates: Function templates, class templates, template specialization.

Standard Template Library (STL): Vectors, lists, maps, sets, iterators, algorithms.

Exception Handling: try, catch, throw, custom exceptions.

File Handling: Reading from and writing to files using fstream, handling binary files.

Namespaces: Creating and using namespaces, the std namespace.

6. Memory Management

Dynamic Allocation: Managing memory with new and delete.

Smart Pointers: std::unique_ptr, std::shared_ptr, std::weak_ptr.

Memory Leaks and Debugging: Identifying and preventing memory leaks.

7. Algorithms and Problem Solving

Searching and Sorting Algorithms: Linear search, binary search, bubble sort, selection sort, insertion sort.

Recursion: Concepts and use-cases of recursive algorithms.

Data Structures: Linked lists, stacks, queues, trees, and graphs.

8. Multithreading and Concurrency

Thread Basics: Creating and managing threads.

Synchronization: Mutexes, locks, condition variables.

Concurrency Issues: Deadlocks, race conditions.

9. Best Practices and Coding Standards

Code Style: Naming conventions, commenting, formatting.

Optimization Techniques: Efficient coding practices, understanding compiler optimizations.

Design Patterns: Common patterns like Singleton, Factory, Observer.

10. Project Work and Applications

Building Applications: Developing simple to complex applications using C++.

Debugging and Testing: Using debugging tools, writing test cases.

Version Control: Introduction to version control systems like Git.

This comprehensive set of topics equips students with the skills needed to develop efficient, robust, and scalable software using C++. Depending on the course level, additional advanced topics like metaprogramming, networking, or game development might also be covered.

C++ course in chennai

Web designing course in chennai

full stack course in chennai

[digitalrosary]

hai! can one request deadlock from valorant graphics or neon from valorant graphs ? ^_^

queued !! it will be posted by tomorrow , most likely ~~ i did layouts for both !!

[gwebpro]

Factors to Consider When Hiring Machine Learning Developers

Hiring machine learning (ML) developers involves assessing various factors to ensure their suitability for the role. Candidates must be proficient in both technical and soft skills; otherwise, they may not be a good addition to your team. For instance, miscommunication is possible if they lack effective communication skills, which can hinder teamwork.

To hire a competent machine learning developer with all the skills you require, let’s look at the qualities you need to look for. 

What to Look for When Hiring Machine Learning Developers

Let's look at the characteristics that set top machine learning developers apart. Doing so will make hiring them that much easier. 

Educational Qualifications

When looking for a skilled machine learning developer, take into consideration the applicant’s education. As machine learning is part of computer science, a background in computer programming, mathematics, and data science is mandatory. Candidates with a bachelor's degree with certifications in machine learning are accepted, whereas candidates with a PhD are preferred.

Candidates must also be experts in topics like machine learning algorithms, natural language processing, regression, and neural networks. They must also be fluent in computer programming languages. 

Technical Skills

Applicants for your machine learning developer role must have superior technical skills. They are expected to be acquainted with programming languages like Python, C++, JavaScript, Java, C#, Julia, Shell, R, TypeScript, and Scala. They must also be familiar with data engineering, data analysis, ML models, and deployments. In brief:

Data engineering is managing or transforming data for storage and processing.

Data analysis is the process of examining, purifying, converting, and modelling data in order to extract meaningful information.

Machine learning models are programs that identify patterns or draw conclusions from unknown data sets.

Model deployment is the process of incorporating an ML model into an already-existing production so that it can receive input and produce output.

Software Engineering Skills

Software engineering skills are a must-have for machine learning developers. Writing search queries, sorting, and optimizing algorithms are required, along with being familiar with data structures like stacks, queues, trees, graphs, and multidimensional arrays. 

AI and machine learning developers must also know about computer architecture elements like memory, clusters, bandwidth, deadlocks, and caches. These are some of the fundamentals of computer science.

Soft Skills

The recruiter must ensure that applicants have soft skills as well as technical ones. While machine learning is a technical domain, having soft skills like problem solving and clear communication makes a candidate more efficient in their work. This is because one of the most important aspects of the work is being able to explain the project's objectives, schedule, and expectations to stakeholders.

Also, the goal of machine learning is to solve problems in real-time. This means having the critical and creative thinking skills necessary to identify problems and come up with solutions.

Time Management and Teamwork

Time management skills are essential for making significant contributions to the team. Machine learning developers frequently have to balance the needs of multiple stakeholders while still finding time to conduct research, plan and manage projects, and create and thoroughly test software.

Teamwork is also crucial as machine learning developers often work closely with software engineers, marketers, product designers, managers, testers, and data scientists. They are frequently at the core of AI business initiatives. When recruiting an AI/ML developer, supervisors look for the ability to work well with others and contribute to a positive work environment.

A Desire to Learn New Things

An AI/ ML developer must have a passion for studying and learning. Artificial intelligence, deep learning, machine learning, and data science are quickly developing topics. The most successful AI/ML developers are always updating their knowledge and willing to learn new abilities. Even machine learning developers with doctoral degrees find ways to stay up to date by attending boot camps and workshops and doing self-study. 

Developers must study cutting-edge methodologies and technologies, learn the newest programming languages, and become proficient with new applications and tools. An enthusiastic learner quickly learns about the newest industry developments. 

Cost and Value

Recruiters must know the market value of these positions in order to hire a developer. A typical AI/ML developer's hourly rate in Canada could differ depending on their position, degree of expertise, region, and demand within the market. In Canada, AI/ ML experts are hired with an hourly pay between $30 and $60 on average.

Entry-level jobs such as junior data analysts or AI assistants have a pay between $30 and $40 per hour. Professional-level AI/ML developer costs are typically between $40 and $60. These experts have the knowledge and expertise required to take on challenging AI projects and produce top-notch results. 

When hiring a machine learning developer, a good mix of technical and soft skills is needed. A solid educational base, command of important programming languages, and familiarity with data engineering are all desirable. Teamwork, effective communication, and problem-solving skills are also vital. You are sure to locate the perfect developer for your team by keeping these things in mind.

[digitalthinkerhelp]

Deadlock Detection in OS with Algorithms & Examples

Hi Learners! Today, here you will learn about what is deadlock detection in OS with their algorithms and example with ease. This is unique post over the internet; therefore, after reading this article; you will definitely fully understand about Deadlock Detection in OS without any hindrance.

‘Deadlock Detection’ Tutorial Headlines:

In this section, we will show you all headlines about this entire article; you can check them as your choice; below shown all:

What is Deadlock Detection in OS?

Deadlock Detection and Recovery Approaches

When to invoke a Detection Algorithm?

Deadlock Detection Algorithms with Example

Resource Allocation Graph (RAG) Algorithm

The Wait-For Graph Algorithm

Banker’s Algorithm

Dijkstra’s Deadlock Detection Algorithm

Timeout Mechanisms

State-based Mechanisms

Tools Used for Automated Detection

Advantages of Deadlock Detection in OS

Disadvantages of Deadlock Detection in OS

FAQs (Frequently Asked Questions)

Can deadlock detection prevent deadlocks?

What are various techniques used for deadlock detection?

How does deadlock detection impact system performance?

Let’s Get Started!!

[trainingiz]

SQL Job Support: Troubleshooting Common Database Issues

Introduction:

SQL (Structured Query Language) is the backbone of many modern applications and databases, making it a critical skill for professionals in the field of data management and software development. However, even with the best-designed databases, issues can arise, leading to problems that require careful troubleshooting. In this article, we will delve into the world of SQL job support, specifically focusing on troubleshooting common database issues. Our aim is to provide you with a comprehensive guide on identifying, diagnosing, and resolving these issues effectively without resorting to keyword stuffing.

Common Database Issues:

Performance Degradation:

Description: One of the most prevalent issues with databases is performance degradation over time. Slow queries and high response times can severely impact application efficiency.

Troubleshooting:

Analyze query execution plans to identify bottlenecks.

Examine indexing strategies and ensure they are optimized.

Monitor hardware resource utilization (CPU, RAM, I/O).

Review the use of caching mechanisms for query optimization.

Locking and Deadlocks:

Description: Locking issues occur when multiple transactions try to access the same resource simultaneously. Deadlocks are a specific type of locking issue where two or more transactions are stuck in a circular waiting state.

Troubleshooting:

Utilize SQL Server Profiler to capture deadlock graphs.

Adjust isolation levels for transactions.

Refactor queries to minimize contention on shared resources.

Implement proper transaction management.

Data Corruption:

Description: Data corruption can result from hardware failures, software bugs, or other factors. It can lead to data loss and integrity issues.

Troubleshooting:

Run consistency checks using DBCC commands.

Regularly back up and validate data integrity.

Monitor hardware health and replace failing components.

Keep software and database systems up-to-date.

Backup and Restore Failures:

Description: Failed backup and restore operations can result in data loss and downtime.

Troubleshooting:

Check for sufficient disk space for backups.

Review backup and restore logs for error messages.

Verify file paths and permissions.

Test backup and restore procedures in a non-production environment.

Query Optimization:

Description: Inefficient queries can lead to high resource consumption and slow performance.

Troubleshooting:

Analyze query execution plans and identify costly operations.

Use appropriate indexing and statistics.

Rewrite or refactor queries for better performance.

Implement caching mechanisms to reduce query load.

Security Concerns:

Description: Security breaches and unauthorized access can have severe consequences.

Troubleshooting:

Regularly audit and review user permissions.

Implement strong password policies.

Monitor for unusual login activity and security events.

Keep software and security patches up-to-date.

Data Migration Issues:

Description: Data migration projects can result in data loss or integrity problems if not executed correctly.

Troubleshooting:

Plan and test data migration thoroughly before execution.

Validate data on the target system.

Maintain backups of the original data.

Ensure proper transformation and data mapping.

Conclusion:

SQL proxy job support is a crucial function in maintaining the health and performance of databases. By understanding and effectively troubleshooting common database issues, professionals can keep their systems running smoothly and mitigate potential risks. While it's important to be aware of the various keywords associated with SQL job support from India, the focus should always be on addressing the root causes of problems and providing meaningful solutions.

[shamvil-blog1]

How to capture Deadlock using Deadlock Graph?

How to capture Deadlock using Deadlock Graph?

While I won’t go into details on how to fix deadlock issues or why they occur. One common issue I faced was identifying the Deadlock victim and what was allowed to complete.

So to achieve this, I opened SQL Profiler, created a new trace with a blank template

Then added deadlock graph from Events selection

This gave me a new tab – Events Extraction Settings

I decided to save a file with…

[rabbivole]

i technically have a functional database project (as far as passing the tests they gave us are concerned) but i really don’t like my solution for aborting deadlock. i did an extremely sketchy ‘if more than TIMEOUT ms have passed, abort us’ stopgap just to see if i could get it to work. and it does work but it sits around doing nothing for like, minutes. which i don’t like. i won’t lose any points for it, but it bothers me

but the alternative involves writing a whole lot of graph infrastructure which i don’t really want to sink a ton of time into (and do the subsequent probably necessary unit testing for) if it’s going to end up not working anyway because i don’t really understand how threading is working here. i just kind of threw ‘synchronized’ into all the method headers and hoped for the best 

huuurrrgghhhh

[fatehbaz]

Another compilation of thoughts on apocalypse; dystopia; better futures; post-crisis resurgence, contemplated during first week(s) of pandemic quarantine. [Part 1.]

-----------------------------------

Pedro Neves Marques. “Parallel Futures: One or Many Dystopias?” e-flux. April 2019.

[I]t is important to remember that some futures never went anywhere – they were not allowed to – and yet they survive. These are futures that have been suppressed and canceled by colonial power. [...] I’m talking about parallel futures. By this I mean futures that have always been present, but that, together with the worlds they belong to, have been forced into one  future only. […] There is only one planet, but there are many worlds inside it.

Writing from an Afrofuturist standpoint, artist and writer Kodwo Eshun suggests that the colonial present is managed by both a preemptive and a predictive  power. “Preemptive” means that colonial power must control the past so as to deny the emergence of any future other than the one desired by the colonialist. “Predictive,” in contrast, implies that power must manage the present in such a way that the future is predetermined in advance. It is the active production of future horizons, compliant with power, that comes to shape the present. […] Borrowing a term from anthropologist Michael Fortun, one could call this preemptive prediction a “future anterior”: the forceful imagination of a technoscientific future that by its very utterance determines the shape of things to come. The future anterior orients the present toward a predetermined goal, while also rereading the past in its image. This is perhaps why Eshun writes that it is not the future that emerges from the present, as one would normally think, but rather the present (and the past) that arrives from the future. Colonial power creates a future in advance, so that no other will take its place. I want to ask how we can think through colonization and decolonization  as a matter of futures. Colonization – of bodies and minds but also of  nature itself – has always been as much about the negation and control of  possible futures as about the erasure of the past  […].

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Indigenous Action Network. “Rethinking the Apocalypse: An Indigenous Anti-Futurist Manifesto.” 2020.

Apocalyptic idealization is a self fulfilling prophecy. It is the linear  world ending from within. Apocalyptic logic exists within a spiritual, mental, and emotional dead zone that also cannibalizes itself. It is the dead risen to consume all life. [...] Its an apocalyptic that colonizes our imaginations and destroys our past and future simultaneously. It is a struggle to dominate human meaning  and all existence. [...] There is a song older than worlds here, it heals deeper then the colonizer’s blade could ever cut. [...] Why can we imagine the ending of the world, yet not the ending of colonialism? We live the future of a past that is not our own. It is a history of utopian fantasies and apocalyptic idealization. It is a pathogenic global social order of imagined futures, built upon genocide, enslavement, ecocide, and total ruination.

What conclusions are to be realized in a world constructed of bones and  empty metaphors? A world of fetishized endings calculated amidst the  collective fiction of virulent specters. From religious tomes to  fictionalized scientific entertainment, each imagined timeline  constructed so predictably; beginning, middle, and ultimately, The End. [...] This way of unbeing, which has infected all aspects of our lives, which is responsible for the annihilation of entire species, the toxification of oceans, air and earth, the clear-cutting and burning of whole  forests, mass incarceration, the technological possibility of world  ending warfare, and raising the temperatures on a global scale, this is  the deadly politics of capitalism, it’s pandemic. [...] We are the antibodies.

The physical, mental, emotional, and spiritual invasion of our lands,  bodies, and minds to settle and to exploit, is colonialism. Ships sailed  on poisoned winds and bloodied tides across oceans pushed with a  shallow breath and impulse to bondage, millions upon millions of lives were quietly extinguished before they could name their enemy. 1492. 1918. 2020 …

Biowarfare blankets, the slaughter of our relative the buffalo, the  damming of lifegiving rivers, the scorching of untarnished earth, the forced marches, the treatied imprisonment, coercive education through abuse and violence. [...] The day to day post-war, post-genocide, trading post-colonial  humiliation of our slow mass suicide on the altar of capitalism; work, income, pay rent, drink, fuck, breed, retire, die. [...]

The anti-colonial imagination isn’t a subjective reaction to colonial futurisms, it is anti-settler future. Our life cycles are not linear, our future exists without time. It is a dream, uncolonized. [...] We will not allow the specter of the colonizer, the ghosts of the past to haunt the ruins of this world. [...]

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Phil A. Neel. Hinterland: America’s New Landscape of Class and Conflict. 2018.

St. Louis is where storms collide. [...] And as the air currents grapple over the middle-American sky, the storm-swollen Mississippi grinds forward below. Once-uncommon “freak floods” are now standard, the levees overcome every few years and large chunks of St Louis and its surrounding suburbs washed away by the intractable inertia of a river bound to outlive any city. [...] In recent years, growing  climate chaos has only intensified this ambient war, each “extreme  weather event” more volatile and less predictable. [...] The result is another slow apocalypse.

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Hugo Reinert. “The skulls and the dancing pig: Notes on apocalyptic violence.” Terrain. 2019

In a newspaper interview a decade or so back, during an earlier peak of reindeer-crisis discourse, a [Sami] herder named Johan Mathis Oskal put this issue very succinctly: “If the authorities do cut the number of animals by half, and we then get a bad year [udr], we might be left with no reindeer at all. That would be an eternal catastrophe.” […]

“Apocalypse” […]. The word has something of the titillating about it: a streak of prurience, redolent of spectacle and sentimental violence,  the interminable grind of […] death-fulfillment fantasies […]. It feels indulgent; more specifically, perhaps, it echoes the affects and fantasies that are invested in the anthropological project of salvage – as a collective enterprise of acquisition and reification rooted, all too often, in the postulate of an apocalypse of the Other. […] The image of a reindeer excess has haunted the edges of the State in Norway for almost two centuries now: a fevered, imaginal swarm always threatening to overspill the borders, invade the cities, eating the land bare. [...] The underlying impulse has persisted: a will to contain the herd, to control them, reduce – and through this, to control and reduce a segment of the Indigenous Sami population that in conspicuous ways has resisted normalization […].

The escalation of this […] narrative has coincided neatly with the  escalating interest of national and international actors in “developing”  the tundra […]. “Death has occupied the tundra,” one headline proclaimed. […]. The miasma of this moment is simultaneously an effect and an instrument of governance: a kind of ambient manufactured context [...]. Acting on the vision of a vast catastrophe – a charnel dream of bodies that  rot in the snow, devastation, collapsing systems, the stench of blood –  the providential State deploys the killing-violence apotropaically, in a preemptive move: “To prevent them from dying, they must be killed.” […] In this sense, the reindeer crisis is also legible as a  performance, a spectacle of justification orchestrated by the State in its own periphery: “disaster as a form of governance”  […].

“Eternal catastrophe.” To someone like Johan Mathis, excess appears as a temporary and survivable mismatch  in the calibration of herd size to grazing resources. The problem  resolves itself: “nature itself reduces the [reindeer] number.” […]. Contrast this to the State narrative – in which excess appears as the continuous potential for a terrifying breakdown, a rampant and unregulated proliferation in which the dead scatter like  leaves, chaotic and numberless across an incompletely known terrain. Even the possibility of that crisis disrupts the sovereign claim of the State over death. The threat of force tries to reestablish that  claim, at least symbolically – aligning reality with a theory of power that takes this control (over death) as simultaneously total and already-given but also always under threat, inherently insufficient. In the crisis, the State falls chronically short of its own theoretical claims; the answer to that “failure” is expansion, growth, intensification of control, the further consolidation of power.  

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Nat Marcus. “At the Hellmouth Coatcheck.” Flaunt. November 2019.

Note that city limits are often transversive; radial lanes rather than walls at the perimeter. [...] Escalating seismics aside, the Hellmouth obviously wouldn’t open under Los Angeles, but rather off-center, somewhere out-of-pocket like Sunnydale. [...] Chicago acts like a trellis or lays out like a sheet of graph paper, one edge wet and thus easily torn away by Lake Michigan.

How, or assuming what posture, do we guide ourselves through the present via the future, if short-term futurity looks rich with suffering, and in the long-term, it’s merely void?

Apocalypse is a gradient, and the inferno [...] isn’t devoid of politics: while I write this ledger, the number of residents  of what could be called hell on earth (shoreline eroding, uninsured pharmaceutical deadlocks, Western wars fought elsewhere, etc.) only grows. [...] By our current trajectory, those existing outside hubs of capital -- beyond the spatial and/or ideological limits of capital and major cities, the subaltern and incalculable -- will be swallowed by ocean or fire first. One doesn’t need a prophet’s eyes to see this. [...]

A bell-hooksian love ethic is one by which love is recognized as a form of action, one undertaken to stimulate the personal and spiritual growth of oneself and others. [...] Hell is either already here or just around the corner [...], at cross-hatched odds with the orderly loop of the city filled with law, may simply allow us to step into the shrinking space between those two places, and be here willfully [...].

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