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Alvinashcraft

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Dew Drop – February 28, 2025 (#4372)

The Dew Drop for February 28, 2025, features top links in technology including podcasts, software releases, and coding updates.
Notable mentions in the web and cloud development section cover topics like TypeScript, Azure Functions, and Dapr v1.15 release.
In WinUI, .NET MAUI, and XAML, Uno Platform updates its Todo Sample while Visual Studio 2022 v17.13 introduces AI-powered enhancements.
AI-related highlights include OpenAI's GPT-4.5 system card, Microsoft Copilot developments, and discussions on AI in gaming.
Design, methodology, and testing articles focus on mental health in IT, CI/CD best practices, and serverless computing.
Mobile development updates include Amazon CEO's hint at new Alexa hardware, the Raspberry Pi Official Magazine, and EA's release of old game source code.
Screencasts, podcasts, community events, and database management also find mentions in this technology roundup.
Miscellaneous news includes reports on Microsoft potentially discontinuing Skype, DOGE's impact, and Trump's tariffs taking effect.
Additional links collections provide quick access to Oracle Database news, Windows updates, and daily reading lists.

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Dbi-Services

PostgreSQL: Unlogged tables and backups

Unlogged tables in PostgreSQL can cause data inconsistency when performing backups.
If unlogged tables are used and a dump is loaded into a primary instance, the data may not reach the replica.
Newly added tables after the dump was loaded will successfully replicate.
Dumped data can still be retrieved from unlogged tables, but it is not suitable for point-in-time recovery.

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Dev

156

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Farewell to Window Functions, Embrace esProc SPL

SQL's early iterations were not suitable for ordered computations due to practical difficulties.
Window functions improved ordered computations in SQL but still faced challenges due to its foundation on unordered sets.
esProc SPL offers a fundamental solution to cumbersome SQL window functions for database operations.
SPL code is more concise, easier to understand, write, and debug compared to SQL window functions.
SPL tables are ordered with position concepts, simplifying calculations like determining trading day count for stock exceeding $100.
SQL window functions require nested queries and complex syntax for tasks like calculating positions and adjacent differences.
SPL's pselect function simplifies position calculations and cross-row operations, enhancing efficiency.
SPL's ordered grouping and maximum calculation functions streamline tasks, outperforming SQL window function-based solutions.
SPL's simplicity shines in identifying stock price intervals and scenarios like consecutive price increases.
By leveraging SPL, SQL complexities related to window functions can be replaced with concise code, enabling efficient data processing.

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Insider

303

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The major companies which have relocated to Texas, from Tesla to Chevron

A number of major companies have relocated their headquarters to Texas, including Tesla and Chevron, since 2020, citing reasons such as a good regulatory environment and lower cost of living.
Texas has become a hotspot for corporate operations, with 200 companies moving their HQs to the state, drawing firms from states like California.
Governor Greg Abbott attributes the influx of companies to Texas to its reasonable regulatory environment, exceptional quality of life, and lower cost of operating a business.
Companies like KFC's parent company Yum! Brands, the New York Stock Exchange, Chevron, and SpaceX have all made significant moves to Texas.
Tesla, led by Elon Musk, was the first to move its headquarters from Silicon Valley to Austin, Texas, in 2021 due to housing affordability constraints.
Chevron relocated its headquarters from San Ramon, California, to Houston to facilitate better collaboration and engagement within the company.
Companies like SpaceX and Oracle have also made significant shifts to Texas, with SpaceX moving to Starbase, Texas, and Oracle relocating its corporate HQ from Silicon Valley to Austin.
Charles Schwab, McKesson, CBRE, and AECOM are among the other major firms that have moved their headquarters to Texas in recent years, attracted by the state's business-friendly environment.
The trend of companies relocating to Texas has been driven by factors such as the state's talent magnetism, lower operating costs, and the flexibility offered to employees.
Overall, Texas has seen a significant uptick in corporate relocations, with companies finding the state to be an appealing destination for their business operations.

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Amazon

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Migrate very large databases to Amazon Aurora MySQL using MyDumper and MyLoader

Amazon Aurora is a cloud-based relational database compatible with MySQL and PostgreSQL, providing high performance and availability.
Migrating very large MySQL databases to Amazon Aurora MySQL-Compatible Edition offers benefits like scalability and cost-effectiveness.
MyDumper and MyLoader tools are recommended for migrating large databases, offering multi-threaded capabilities for better performance.
MyDumper allows for concurrent data export/import, splitting large tables into smaller chunks, and customizable transaction sizes.
Key optimizations for MyDumper include using parallel threads, splitting large table backups, compressing backup files, and using flat files for backup.
MyLoader complements MyDumper by offering fast data loading into MySQL databases, supporting multi-threaded execution and transactional support.
Optimizing MyLoader restore process involves utilizing parallel threads, optimizing batch sizes, index management, and fine-tuning transaction parameters.
Benchmark results show that MyDumper outperforms mysqldump in backup speed with different thread configurations.
MyLoader restores databases to Aurora MySQL faster than mysqldump, requiring less time for similar tasks.
Detailed instructions on using MyDumper and MyLoader, including optimizing backup and restore processes, are provided in the article.

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VoltDB

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Guide to Cost-Efficient Edge Data Replication

Edge computing relies on data replication for maintaining synchronized data across distributed nodes, enhancing system resilience and performance while posing cost challenges.
Data replication types include full, incremental, real-time, and periodic, each offering unique advantages and cost considerations in edge environments.
Benefits of data replication at the edge include reduced latency, increased fault tolerance, compliance with data regulations, and improved data availability.
Challenges in edge data replication involve resource constraints, network costs, storage overhead, data consistency issues, and environmental variability.
Strategies for cost-efficient replication include optimizing frequency, selective replication, local processing, advanced algorithms, and hybrid edge-cloud architectures.
Tools such as Apache Kafka, MQTT, and in-memory databases, along with infrastructure considerations like AWS Greengrass and Azure IoT Edge, aid in effective data replication.
Successful edge data replication requires a strategic approach that balances latency, storage, and network costs through intelligent replication strategies and modern tools.

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Mysql

How to Set Up the Development Environment for MySQL Shell Plugins for Python

MySQL Shell allows for extending its functionality using plugins, including Python plugins for tasks automation and integration.
Setting up the development environment involves installing MySQL Shell, Python 3.8+, a code editor, and Git, along with specific directory structures.
Steps include collecting and compiling MySQL server code, configuring libraries, and then doing the same for MySQL Shell.
Creating a Python virtual environment is recommended to avoid conflicts, with the option to use existing plugin demos for development.
The process involves configuring Visual Studio, adding necessary extensions, setting up debugging configuration, and creating breakpoints in the code.
The integration of MySQL Shell Python plugin development with debugging tools like debugpy is highlighted for a smoother development experience.
Tips include utilizing the MySQL Shell API, testing incrementally, and leveraging Python libraries for plugin development.
Setting up a development environment for MySQL Shell plugins in Python offers vast possibilities for enhancing functionality and automation in database tasks.
With the right tools and Python knowledge, developers can create powerful extensions to streamline MySQL Shell operations for improved efficiency.
The process helps standardize and simplify DBA operations and provides developers with safe and efficient ways to interact with databases.
Overall, setting up the environment for MySQL Shell plugins in Python is a straightforward process that opens up endless possibilities for enhancing database management and automation.

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VentureBeat

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Qodo’s open code embedding model sets new enterprise standard, beating OpenAI, Salesforce

Qodo has introduced Qodo-Embed-1-1.5B, a new open-source code embedding model designed to enhance code search, retrieval, and understanding.
The model outperforms larger solutions from OpenAI and Salesforce, providing top-tier results on industry benchmarks.
Qodo’s innovation improves AI-driven software engineering workflows for enterprise development teams working with vast codebases.
Qodo-Embed-1-1.5B addresses the challenge of context awareness in large-scale software systems, emphasizing the importance of high-quality code.
Unlike traditional focus on code generation, Qodo’s model excels at code retrieval by efficiently searching and retrieving relevant snippets.
The model's balance of efficiency and accuracy with 1.5 billion parameters outperforms larger models on the Code Information Retrieval Benchmark.
Qodo's unique training approach ensures that functionally distinct code is correctly identified, preventing errors in software development.
The model is optimized for the top 10 programming languages and offers broader language support for future iterations.
Qodo makes the model accessible through various channels, including Hugging Face, NVIDIA’s NIM platform, and AWS SageMaker JumpStart.
Qodo’s focus on code understanding, retrieval, and quality assurance aligns with the evolving landscape of AI-powered coding tools.
By offering a high-performance alternative, Qodo’s embedding model aids enterprise teams in intelligent code search and quality control within complex software ecosystems.

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Mysql

441

Why TLS for MySQL is difficult

TLS, the successor of SSL, is used for encrypting traffic and authenticating connections like in HTTPS.
While HTTPS starts TLS at the beginning, MySQL's TLS starts with negotation after client and server connection.
Challenges with MySQL TLS include server certificates not being signed by known CAs and difficulty in obtaining certificates for internal hostnames.
MySQL supports mutual-TLS authentication, but getting certificates from proper CAs can be complex.
Default SSL mode in MySQL has security implications, with various levels of encryption and validation.
MySQL's handshake process makes it challenging for proxies and load balancers to support TLS offloading.
Long-lived connections in MySQL require re-authentication and handling of session-specific data upon connection interruptions.
Oracle MySQL has made improvements in TLS integration, including default TLS usage, OpenSSL adoption, and simplified certificate setup.
Overall, while MySQL has faced challenges with TLS implementation, efforts have been made to enhance security and ease of use.

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Dev

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Flexible Interval Aggregation — From SQL to SPL #5

The task is to group IDs into multiple consecutive intervals, sum up the values within each group, and arrange the calculation results in order of intervals.
SQL code requires creating a temporary interval table and then associating and aggregating, making the structure complex.
SPL code provides a simpler and easier-to-understand approach, where data is directly loaded, grouped, and aggregated without the need for table creation or association.
SPL's pseg function helps determine the interval number where a certain value is located.

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Amazon

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Upgrade strategies for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL 12

The end of standard support for Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL version 12 is February 28, 2025.
It is essential to plan upgrades for continued support and optimal performance of database systems.
Major version upgrades require thorough evaluation for application compatibility and functionality.
Upgrading to newer major versions brings benefits like enhanced features, improved performance, and better security.
Features offered in PostgreSQL higher versions enable better performance, stronger security, and reduced maintenance costs.
PostgreSQL 13 and above introduce performance improvements, space savings, and extended statistics for query planning.
Aurora PostgreSQL supports Graviton3-based R7g database instances, offering significant performance improvements over previous versions.
Upgrading to PostgreSQL 16 or newer is advised, with specific considerations based on application needs.
Three upgrade options include in-place upgrade, blue/green deployment, and out-of-place upgrade, each with its advantages and considerations.
Amazon RDS Extended Support offers an option to maintain databases on a major version beyond standard support end date, ensuring critical security updates and bug fixes.

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Dev

335

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Top Websites for Learning Back-End Development in 2025

Many aspiring coders often focus on front-end development, but back-end development is equally crucial for websites, involving data management, servers, and logic.
Top platforms for learning back-end development include Mimo, Codecademy, Udemy, freeCodeCamp, and Coursera.
Mimo offers practical modules, language coverage in Python and SQL, and progress tracking for consistent learning.
Codecademy provides an interactive learning environment with a friendly approach, focusing on languages like Node.js and Python.
Udemy offers a vast library of back-end development courses taught by various instructors, allowing learners to choose based on their preferences.
freeCodeCamp provides project-based learning for back-end skills, including APIs and databases, all for free.
Coursera partners with universities to offer high-caliber back-end development courses, balancing theory and hands-on challenges.
Consistency and persistence are key in learning back-end development, with repeated practice and starting small being important strategies.
Choosing a learning platform depends on your style, schedule, and budget, with each platform offering unique benefits tailored to different preferences.
Embrace small victories in coding, seek support from communities, and keep practicing to master back-end development skills over time.

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Medium

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NLP to SQL for data insights

NLP to SQL for data insights
LangChain's conversational chains bridge the gap between non-technical users and complex database queries.
Schema helps map user questions to the correct tables and columns in the database.
A function called get_response ensures a natural language answer from the SQL query result.

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Medium

227

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SQL Injection: How to Outsmart Hackers and Keep Your Website Safe

SQL injection is a crafty technique used by attackers to manipulate databases.
It allows attackers to inject malicious SQL code into input fields and alter a website's database behavior.
With databases storing sensitive user data, the risks of SQL injection are significant.
Implementing proper security measures is crucial to prevent SQL injection attacks.

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Dev

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Complement a certain average value to ensure that the total sum remains unchanged:SQL VS SPL

In a SQL Server database, an invoice table and a project table are associated through the ProjectID.
To divide the amount according to the number of accounts in each project, a SplitAmount field is added to the SQL query.
In SQL, nested subqueries and window functions are used to calculate the SplitAmount and AdjustedSplitAmount.
Alternatively, SPL (Stream Processing Language) provides a more natural and simpler approach for the task.

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