GitHub

[SQL Server] Critical DDL Flaw: Implicit Conversion on VAR/NVAR-CHAR breaks index usage

We observed a critical performance flaw in the SQL Server DDL for key Quartz metadata tables (e.g., JOB_NAME, TRIGGER_NAME, SCHED_NAME etc.). These columns are defined using VARCHAR but are ...
GitHub

SQL Server DDL for metadata tables should use NVARCHAR to prevent performance degradation and deadlocks from implicit conversion

I'm reporting a significant performance issue and a potential for deadlocks when using Spring Batch with a SQL Server database. The root cause is a data type mismatch between the default Spring Batch ...
TheServerSide

How to use native SQL in Hibernate and JPA

Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...
Microsoft

Announcing SQL Server 2025 (preview): The AI-ready enterprise database from ground to cloud

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...
Hacker

Best Practices for Faster Queries: A SQL Performance Tuning Tutorial

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
Hacker

SQL Recursive Queries - How to Understand Common Table Expressions (CTEs)

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
marktechpost

SQL-R1: A Reinforcement Learning-based NL2SQL Model that Outperforms Larger Systems in Complex Queries with Transparent and Accurate SQL Generation

Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...
IEEE

SMPCache: Towards More Efficient SQL Queries in Multi-Party Collaborative Data Analysis

Abstract: Privacy-preserving collaborative data analysis is a popular research direction in recent years. Among all such analysis tasks, privacy-preserving SQL ...