One area where a lot of development work went into SQL Server 2014 is the area of query optimization where a crucial component got re-written in order to improve query access and predictability. To ...

Abstract: The deep learning-based cardinality estimation is a hot research topic in the field of database query optimization. The SQL query featurization has a direct impact on the quality of ...

With all the cheerleading and the steady drumbeat of new features being released to Azure, it’s easy to lose track of the many cool and valuable new features released in the on-premises version of SQL ...

description: This article helps you resolve performance problems that occur in SQL Server 2014 and later versions when you compile your queries using the new cardinality estimator. ms.date: 08/12/2022 ...

During optimization, the cardinality estimation process is responsible for estimating the number of rows processed at each step in an execution plan. Cardinality estimation uses a combination of ...

Cardinality estimation is a key component in query optimization. To choose the best executing plan, the query optimizer should precisely estimate the selectivity of a SQL predicate -- the number of ...

A new Rust-based database engine, InfluxDB IOx, brings an in-memory columnar store, unlimited cardinality, and SQL language support to the open source time series database, raising the bar for ...