实时查询优化新策略的核心是通过Azure SQL Database的自动调优功能结合查询存储和智能洞察，实现性能瓶颈突破。具体步骤：1. 启用Query Store捕获查询执行计划；2. 使用Automatic Tuning创建索引推荐；3. 应用Force Last Good Plan减少编译时间；4. 监控DTU/ vCore利用率并自动缩放。示例代码：ALTER DATABASE [YourDB] SET AUTOMATIC_TUNING (FORCE_LAST_GOOD_PLAN = ON, CREATE_INDEX = ON, DROP_INDEX = ON);

Microsoft Docs

Query Store provides intelligent query performance insights. It captures a history of queries, plans, and runtime statistics, and aggregates them to identify performance regressions. Use the Query Store to detect performance issues and to determine when plan forcing is appropriate.

Azure Blog

Intelligent Query Processing (IQP) in SQL Azure includes features like batch mode on rowstore, scalar UDF inlining, and approximate query processing with SystemVersioning. These features automatically improve performance without code or schema changes.

Tech Community Post

A new strategy for real-time optimization involves leveraging the Automatic Tuning feature in Azure SQL Database. It uses machine learning to analyze query patterns and suggest index recommendations, parameter sniffing solutions, and plan forcing.

SQL Server Central

Breakthrough in SQL Azure performance: Implementing Hyperscale tier for massive scalability, combined with In-Memory OLTP for low-latency queries. Real-time optimization achieved by partitioning large tables and using columnstore indexes.

Medium Article

实时查询优化新策略：使用Azure SQL的Elastic Query跨数据库查询，并结合Azure Synapse Link实现HTAP（Hybrid Transactional/Analytical Processing），消除传统性能瓶颈。

Chinese Forum

SQL Azure性能瓶颈突破的关键是监控XEvent和DMV，识别高CPU查询，然后应用查询提示如OPTION (RECOMPILE)或更新统计信息。新策略包括集成Azure Monitor实时警报。

FAQ
Q: 如何快速启用自动调优？
A: 在Azure门户中，导航到SQL Database > Automatic tuning，开启Desired state为On。
Q: Query Store会增加存储成本吗？
A: 是的，但可以通过定期清理旧数据控制，使用sp_query_store_force_plan清理。
Q: 什么情况下使用Force Last Good Plan？
A: 当参数嗅探导致性能回归时，它强制使用最后已知的良好计划。
Q: 实时优化对成本有影响吗？
A: 优化后查询更快，允许使用更低的服务层级，总体降低成本。