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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

371

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

442

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

424

Image Credit: Dev

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

232

Image Credit: Amazon

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

138

Image Credit: Medium

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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8 Likes

Medium

228

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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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Dbi-Services

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Starting with PowerShell 7 and parallelization

PowerShell 7 is an open-source and cross-platform edition of PowerShell that can be installed alongside Windows PowerShell 5.1.
Installation of PowerShell 7 on Windows Servers is easily done using an MSI package, allowing for coexistence with PowerShell 5.1.
New features introduced in PowerShell 7 include improved module compatibility, new remoting endpoints, group policy support, and separate event logs.
PowerShell 7.2 onwards enables updating through traditional Microsoft Update, providing convenience for users.
Among the new features in PowerShell 7 are ForEach-Object with parallel execution, ternary operator, pipeline chain operators, and coalescence, assignment, and conditional operators.
PowerShell 7's new parallelization feature with ForEach-Object -Parallel allows running script blocks in parallel instead of sequentially with the option to limit the number of concurrent script blocks.
The parallelization feature utilizes PowerShell runspaces to execute script blocks concurrently, allowing for improved performance in various scenarios.
Users can pass variables into script blocks using the $using: keyword, and the feature is beneficial for tasks like executing SQL Server Agent Jobs in parallel on multiple instances.
While parallelization can enhance performance, users should test and consider overhead factors that may impact script execution speed.
PowerShell 7's parallelization feature offers a significant improvement in script execution efficiency and can be leveraged for various use cases, aiding in optimizing performance.

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Siliconangle

Image Credit: Siliconangle

Couchbase shares rise despite mixed quarterly results and lower outlook

Couchbase reported mixed results in its fiscal 2025 fourth quarter, but shares rose in late trading.
The company's adjusted net loss per share was 30 cents, while revenue reached $54.9 million.
Couchbase's full-year revenue was $209.5 million, with total annual recurring revenue of $237.9 million.
For fiscal 2026, the company expects first quarter revenue of $55.1 million to $55.9 million.

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2 Likes

Dev

421

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Using LAST_INSERT_ID() in MySQL to Insert Related Data

When using AUTO_INCREMENT in MySQL, you often need to retrieve the ID of a newly inserted record. By using LAST_INSERT_ID(), you can easily obtain the ID generated from the most recent INSERT statement, making easier to insert related data.
Inserting Related Data Using LAST_INSERT_ID(): Let's take the following two tables as an example...
SQL Example: Use LAST_INSERT_ID() immediately after INSERT to retrieve the newly generated id. Use the obtained id to insert related records into order_items.
What Happens When ROLLBACK is Used? If ROLLBACK is executed, the AUTO_INCREMENT value is not reset, even though the insert operation is undone.

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25 Likes

Amazon

215

Image Credit: Amazon

Perform minor/major version upgrades for Amazon Aurora MySQL Global Database with minimum downtime

Amazon Aurora Global Database allows for globally distributed applications with replication for performance and disaster recovery. Upgrading Aurora MySQL Global Database may involve removing secondary Regions, upgrading the primary Region, and recreating secondary Regions.
The blue/green deployment approach involves creating a mirror (green) environment for upgrades while the original (blue) environment runs production. Data changes from blue are replicated to green. Major upgrades require thorough testing before switchover.
Steps include fast cloning for green environment setup, in-place version upgrades, binary log replication between blue and green clusters, and environment adjustments. Rollback capability via reverse replication can be implemented with caution.
Prerequisites include verifying upgrade paths, disabling Auto Minor Version Upgrade, enabling binary logging, setting binlog format, and adjusting binary log retention period.
After setting up replication, database cache prewarming, post-switchover testing, and health checks are recommended. The switchover process involves stopping write traffic in blue, halting replication, and reconfiguring applications to green.
Backup considerations, cleanup steps, and detailed testing post-switchover are crucial. Remember to monitor replication status and lag before performing the blue/green switchover for minimal downtime during upgrades.

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Cloudblog

Image Credit: Cloudblog

Enhancing AlloyDB vector search with inline filtering and enterprise observability

AlloyDB for PostgreSQL offers the ScaNN index for efficient data retrieval with a single SQL statement.
New enhancements in AlloyDB include inline filtering for improved performance and accuracy in vector searches.
Enterprise observability tools have been introduced to ensure stable performance and high-quality search results.
These tools include a recall evaluator to measure search quality and vector index distribution statistics for consistent performance.
AlloyDB's PostgreSQL interface enables developers to easily query and combine structured and unstructured data.
Inline filtering optimizes query execution by leveraging vector indexes and metadata column indexes.
The new recall evaluator helps measure and improve search quality in similarity search or AI workloads.
Vector index distribution statistics aid in monitoring data changes and maintaining performance.
AlloyDB offers performant, flexible, and high-quality solutions for vector search.
ScaNN for AlloyDB is generally available and can be accessed via a quickstart guide and documentation.

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4 Likes

Mysql

206

Galera Cluster for MySQL 8.0.41-26.22 and 8.4.4-26.22 released

Codership has released Galera Cluster for MySQL 8.0.41-26.22 and 8.4.4-26.22.
The release includes MySQL-wsrep 8.0.41-26.22 and Galera replication library 4.22.
The update incorporates changes to MySQL 8.0.41 and MySQL 8.4.4.
New features include defining sequential consistency parameters for the certification process.

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