Databases News, Latest Updates and Recent Announcements on Techminis

A naukri.com initiative

New

Home

Databases

Dev

353

Image Credit: Dev

Best Practices for Using GROUP BY in MySQL for Converting Vertical Data to JSON

MySQL developers can take advantage of the GROUP BY clause, in addition to GROUP_CONCAT, JSON_ARRAYAGG, JSON_OBJECT and other tools, to transform vertical data into a more hierarchical and flexible format such as JSON.
Vertical data can be difficult to work with in certain applications when it is not presented in a compact or hierarchical format like JSON.
Using GROUP_CONCAT in MySQL can be helpful for creating comma-separated lists and JSON_Arrayagg generates cleaner and more efficient JSON arrays from the aggregate data.
Complex structures such as key-value pairs or nested objects can be created using the JSON_OBJECT function.
Data must be checked for NULL values when converting into JSON, and default values used instead. This ensures that the JSON structure remains intact and does not contain unwanted NULL values.
To optimize performance, check that the column you are grouping by is indexed. This will reduce the amount of data the database needs to scan when using the GROUP BY
Limiting the number of results that are returned by a query can help to alleviate some of the workload on the database and application.
The ORDER BY clause can be used to control the order of the results within each group and it is especially important when the order of the data in your JSON arrays is important.
During the data conversion process, being aware of these guidelines and the correct use of GROUP BY tools will help you to develop MySQL queries that are both performant and correct.
These techniques will benefit all modern applications, including database export, API creation and report generation, by adding structure and accessibility to their data.

Read Full Article

21 Likes

Dev

165

Image Credit: Dev

Automating API endpoint testing with Spin

Automating API testing helps to increase the quality of the code by ensuring consistency and reducing human error.
The Spin CLI offers a built-in SQLite database, which is convenient for testing SQLite databases and clients locally, as well as automating API tests.
By coding an automated solution, automating API tests can document the step-by-step procedure, which is helpful when reviewing the process later or when someone new reviews it.
Requirements for running API tests on a local Spin application include the latest versions of Spin, TinyGo, and Hurl.
Hurl is used to automatically test the API endpoints, with syntax that includes verifying the HTTP status code and validating that the response body matches expectations.
The process to run API tests on a Spin app in Github actions is similar to running tests locally, but requires running the spin up command in the background, executing the tests, and then killing the process.
Automating API tests helps to catch issues earlier in the development cycle, saves time and resources, and ensures that APIs are always validated before they go live.
Integrating automated tests into a CI/CD pipeline improves developer experience and can reduce the toil of repetitive tasks.
Using Hurl and Github actions to automate testing of Spin APIs is an effective approach and the Spin API guide offers more information about other types of integrations.
Questions or comments can be addressed on the Spin Discord community.

Read Full Article

9 Likes

Mysql

WeSQL Introduction – MySQL running on S3

WeSQL is a MySQL-compatible database that separates compute and storage, using S3 as the storage layer.
WeSQL introduces a new storage engine called SmartEngine that uses a LSM-tree-based structure and raft replication to combat latency concerns.
There are over 180 new variables and 79 new status variables in WeSQL, providing tunable options and complexity to optimize for different workloads.
WeSQL is a different architecture in the RDBMS landscape for MySQL compatibility, and further tests and exploration are planned.

Read Full Article

5 Likes

Amazon

272

Image Credit: Amazon

Amazon ElastiCache version 8.0 for Valkey brings faster scaling and improved memory efficiency

Amazon ElastiCache version 8.0 for Valkey brings faster scaling for ElastiCache Serverless and memory optimizations for node-based clusters.
ElastiCache Serverless enables you to create a cache in under a minute and scale capacity based on application traffic patterns.
Valkey is an open source, in-memory key-value data store that is a drop-in replacement for Redis OSS.
ElastiCache speeds up database and application performance, scaling to millions of operations per second with microsecond read and write response time.
ElastiCache Serverless version 8.0 for Valkey brings improvements to how it handles spiky and fast-scaling workloads.
With Valkey 8.0, AWS contributed significant performance enhancements, notably achieving over 1 million RPS through a new multi-threaded architecture.
Valkey 8.0 introduces key memory efficiency improvements that help reduce memory usage and resource consumption for your workloads.
ElastiCache version 8.0 for Valkey is now available in all AWS Regions.
Moving to ElastiCache for Valkey can also help you save money. ElastiCache Serverless for Valkey is priced 33% lower than ElastiCache Serverless for other engines.
Abhay Saxena is a Product Manager in the In-Memory Databases team at Amazon Web Services focused on ElastiCache Serverless.

Read Full Article

16 Likes

Amazon

308

Image Credit: Amazon

Amazon RDS for MySQL LTS version 8.4 is now generally available

Amazon RDS recently announced support for the latest Long-Term Support (LTS) major version from the MySQL community: MySQL version 8.4.
Amazon RDS now supports MySQL Community Edition versions 8.0 and 8.4.
MySQL has introduced, as well as retired, multiple features with version 8.4.
Before planning a MySQL upgrade, review upgrade path guidelines from the MySQL community.
MySQL 8.4 includes several enhancements such as automatic histogram updates, improved Group Replication, and updates to the Group Replication plugin.
Starting with MySQL 8.4, Amazon RDS replaced OpenSSL with AWS-LC as cryptographic library provider.
InnoDB_dedicated_server is enabled by default to provide a performance boost for certain workloads.
The Memcached plugin has been removed entirely starting with MySQL 8.4.
Amazon RDS encourages users to upgrade to version MySQL 8.4 for the new features and performance improvements.
Authors of the article are Mershad Irani, a Database Engineer, and Vijay Karumajji, a Principal Database Solutions Architect with Amazon Web Services.

Read Full Article

18 Likes

Dev

Image Credit: Dev

MySQL Not Responding? A Simple Guide to Diagnosing and Fixing It

This guide will show you simple ways to check the status of your MySQL server, whether it's running or stopped, and how to fix common problems.
Different commands can be used to verify if your MySQL server is running based on your operating system.
If MySQL isn't running, you can take several steps to troubleshoot and get it back up and running.
Logs are critical for diagnosing issues, monitoring performance, and understanding your MySQL server's behavior.
The error log records critical information about server startup, shutdown, and any errors that occur.
The MySQL general query log records all SQL queries received by the server, along with connection and disconnection events.
The MySQL slow query log helps you identify and optimize slow-running queries, which can negatively impact database performance or even cause server shutdowns.
You may need to quickly restart MySQL to recover from an unexpected shutdown and limit downtime.
MySQL's behavior is governed by its configuration file, commonly named my.cnf on Unix-based systems and my.ini on Windows.
Adequate disk space is crucial for MySQL's operation, as insufficient space can lead to server crashes or data corruption.

Read Full Article

1 Like

Analyticsindiamag

230

Image Credit: Analyticsindiamag

SQL Server Now Natively Integrates into Microsoft Fabric

Microsoft announces the integration of SQL Server into Microsoft Fabric databases, combining operational and analytical databases into one platform.
This eliminates the need to shuffle data between systems, simplifying enterprise data management.
70% of the Fortune 500 already adopted Microsoft Fabric, reinforcing its dominance in enterprise data management.
SQL Server 2025, in preview, is an enterprise AI-ready database with integrated AI capabilities and enhanced security measures.

Read Full Article

13 Likes

Amazon

250

Image Credit: Amazon

Introducing scaling to 0 capacity with Amazon Aurora Serverless v2

Amazon Aurora Serverless v2 now supports scaling capacity down to 0 ACUs, enabling you to optimize costs during periods of database inactivity.
With 0 ACUs, Aurora Serverless v2 DB instances can automatically pause after a period of inactivity. Aurora pauses an Aurora Serverless v2 instance if it doesn’t have connections initiated by user activity within the speciﬁed time period.
The automatic pause and resume feature helps you manage costs for applications that don’t have a stringent service-level objective.
To follow along with this post, you should have the following:An AWS account, Amazon Aurora PostgreSQL-Compatible Edition running version 16.3 and higher, version 15.7 and higher, version 14.12 and higher, version 13.15 and higher or Amazon Aurora MySQL-Compatible Edition running version 3.08.0 or higher.
When an Aurora Serverless v2 instance is automatically paused, the status of the instance is shown as Available, but the instance charges for that instance are put on hold.
When the auto-pause feature is enabled, the Aurora Serverless v2 instance automatically resumes under the following conditions.
You can set up different cluster configurations with Aurora Serverless v2 with automatic pause and resume capability enabled based on the high availability, fast response, and scalability requirements of your use case.
Aurora Serverless v2 instances in the secondary clusters of an Aurora global database don’t automatically pause.
To learn more about the auto-pause feature in Aurora Serverless v2, refer to Automatic pause and resume for Aurora Serverless v2 documentation.
Jason Pedreza is a Senior Database Specialist Solutions Architect at AWS with experience handling petabytes of data.

Read Full Article

15 Likes

Mysql

434

Image Credit: Mysql

Dolphie – “Rerecord not fadeaway”

Dolphie is a tool that allows users to go back in time and analyze specific moments.
To enable recording mode in Dolphie, users need to configure the Dolphie service for systemd.
Users can start and enable the Dolphie service to automatically start during server boot.
Dolphie provides features like pausing, seeking, and interacting with graphs to analyze recorded data.

Read Full Article

26 Likes

VoltDB

232

Image Credit: VoltDB

How Edge and Industrial IoT Will Converge in 2025: A New Era for Smart Manufacturing

By 2025, the convergence of IIoT and edge computing will be critical for manufacturers aiming to achieve higher productivity, minimize downtime, and meet the growing demands of Industry 4.0.
Industrial IoT connects factory equipment, sensors, and devices to collect, analyze, and share data, providing actionable insights that optimize production lines, improve quality control, and facilitate predictive maintenance.
Edge computing involves processing data locally, near the source of data generation, rather than relying on centralized cloud servers.
The convergence of IIoT and edge computing will be propelled by several key factors: the need for real-time analytics and automation, increasing data volumes, enhanced cybersecurity requirements, and growth of AI-driven manufacturing.
As these technologies merge, manufacturers stand to gain significant benefits such as reduced downtime and maintenance costs, improved quality control, lower latency and greater reliability, and scalability and flexibility.
In 2025, we'll see the rapid development of various use cases for this convergence across industries such as smart equipment monitoring, autonomous guided vehicles (AGVs), and energy management systems.
Manufacturers looking to leverage the convergence of IIoT and edge computing in 2025 should assess their infrastructure, invest in scalable edge solutions, embrace AI and machine learning, and prioritize cybersecurity.
By 2025, the convergence of IIoT and edge computing will transform manufacturing, unlocking new efficiencies and enabling a more agile, responsive, and autonomous production environment.
For forward-thinking manufacturers, now is the time to prepare for this shift, investing in scalable edge solutions, integrating robust AI models, and securing their networks to fully leverage the potential of edge-enabled IIoT.
The factories of 2025 will be smarter, safer, and more efficient—a testament to the powerful synergy between edge computing and the Industrial Internet of Things.

Read Full Article

14 Likes

Soais

394

Agentic AI: The Future of Autonomous, Action-Driven Automation

Agentic AI is an emerging transformative force that promises to revolutionize the way businesses operate, interact with customers, and optimize workflows with autonomous decision-making.
Agentic AI moves beyond simple task automation and combines advanced AI techniques to create intelligent systems capable of making decisions, analyzing data, and taking actions.
Agentic AI agents can operate in dynamic and unpredictable environments, adapt with each interaction and solve complex issues.
Agentic AI is different from traditional automation tools because of its ability to make independent decisions, solve problems, and optimize processes making them 'problem-solving machines'.
Agentic AI is an evolved stage of automation that involves intelligent agents that can make decisions, adapt, optimize processes autonomously and learn from their environment.
Powerful AI models, process orchestration, data integration, security and governance are some of the foundational elements businesses need to incorporate to capitalize on the potential of Agentic Automation.
Agentic Automation performs complex decision-making tasks, improves operational efficiency, boosts creativity and innovation, ensures continuous improvement, and enhances the customer experience.
The integration of Agentic AI into industries like banking, finance, healthcare, insurance, manufacturing, and customer service will streamline processes, improve efficiency, and provide hyper-personalized support.
However, there are risks and challenges associated with the implementation of Agentic AI like balance between autonomy and human oversight, transparency, and trust, security and privacy, ethical considerations, and reliable decision-making processes.
Overall, Agentic AI is a revolution in test automation that is redefining how businesses operate and innovate with autonomous, action-driven automation.
It offers a glimpse into a future where humans and machines collaborate seamlessly, leveraging their complementary strengths to drive success.

Read Full Article

23 Likes

Soais

268

Overview of Tricentis LiveCompare

Tricentis LiveCompare is a flagship product of Tricentis, a leading provider of software testing and quality assurance solutions.
LiveCompare is specifically tailored for SAP environments, offering a range of features to support SAP system analysis, impact assessment, and change management, thus making it useful for SAP testing & can be helpful for SAP Hana testing & SAP Hana migration.
LiveCompare helps organizations identify and mitigate risks associated with system changes, leading to improved system stability and efficient change management.
By automating analysis and impact assessment, LiveCompare streamlines the change management process, reducing manual effort and accelerating time-to-market for system updates and enhancements.
LiveCompare provides stakeholders with visibility into their SAP systems’ performance, health, and compliance, empowering them to make data-driven decisions and optimize system operations.
By integrating LiveCompare with Tosca, organizations can leverage the capabilities of both tools to enhance their SAP testing and quality assurance efforts.
The integration enables users to automatically generate test cases in Tosca based on the insights and analysis provided by LiveCompare.
Integrating Tricentis LiveCompare with Tricentis Tosca for SAP testing offers several benefits, enhancing the efficiency, effectiveness, and reliability of the testing process.
Test cases are designed to validate critical areas of the SAP systems identified during analysis.
Organizations use insights from LiveCompare and Tosca to drive continuous improvement in their SAP testing, refining test cases, adjusting system configurations or implementing corrective actions.

Read Full Article

16 Likes

Dev

318

Image Credit: Dev

Ethical Hacking: Safeguarding the Digital Frontier💻🔓🛡️

Ethical hacking, also known as penetration testing, helps identify vulnerabilities in computer systems and networks.
The key goals of ethical hacking include identifying vulnerabilities, mitigating risks, ensuring compliance, and protecting data integrity.
Ethical hacking is crucial as it helps prevent data breaches, ensures regulatory compliance, builds customer trust, and keeps businesses operational.
Ethical hackers need programming knowledge, networking expertise, operating system proficiency, and familiarity with security tools.

Read Full Article

19 Likes

Mysql

407

Image Credit: Mysql

Database Security: Best Practices to Protect Your MySQL Infrastructure

MySQL, one of the most popular databases globally, has become a go-to choice for database management due to its dependable performance, stability, and open-source licensing, but its popularity also brings significant security challenges that require proactive protection.
MySQL infrastructure is vulnerable to security threats like SQL injection attacks, unauthorized data access, data leaks, malware and ransomware, and DoS attacks.
Implementing advanced tools like ProxySQL is an essential approach to mitigate the security risks faced by MySQL databases.
The most critical security best practices to safeguard the MySQL infrastructure include keeping it updated, establishing user authentication and RBAC policies, regularly monitoring database activity, conducting regular security tests such as vulnerability scans and security audits, implementing data encryption techniques and TLS for secure data exchange.
Effective firewall protection, user access controls with minimal privileges, enforcing strong password policies, and regularly performing backups are just as critical.
Using ProxySQL as a database proxy for MySQL servers can significantly enhance security and performance by enforcing advanced security policies and improving database scalability.
It also supports efficient query routing, query caching, and direct queries to appropriate servers, minimizing server stress while enhancing scalability.
With detailed access control, ProxySQL can help tailor database access with precision, reducing risks, including SQL injection. Smoothly handling a surge of connections, it allows systems to expand without impacting performance.
By following the above MySQL security best practices, companies establish a more resilient, secure, and performant database environment.
They reduce the likelihood of data breaches, unauthorized accesses, compliance violations, and reputational harm and ensure high availability and faster incident response times in the event of malicious attacks.
Database security is becoming more crucial than ever with the increasing sophistication of security threats. Contact ProxySQL today to learn how you can help safeguard your MySQL infrastructure.

Read Full Article

24 Likes

Dev

380

Image Credit: Dev

3 Hot Trends In Database Reliability

Observability is more important than monitoring when it comes to database reliability. Observing all the stages that affect the database is essential to make sure that we prevent any issues from reaching production.
Understanding how pieces interact with each other is as important as seeing the problems that arise. Monitoring solutions must explain what happened instead of merely presenting metrics and timelines.
Computers are great at doing repetitive tasks and should be used for troubleshooting. Troubleshooting should be automated, including capturing the execution plan, examining slow queries and testing different versions of the query with different indexes or configurations.
Metis is a tool that plugs into the entire software development life cycle to analyze queries and capture execution plans. It can provide actionable insights into how to fix issues and suggest improvements with instructions on how to rewrite queries.

Read Full Article

22 Likes

For uninterrupted reading, download the app

Databases

Discover more