Dynamic SQL lets you create a query string based off of user input. SQL Server allows you to create dynamic SQL statements. The statements use a SQL string varchar data type, then you execute the ...

Ok, I'm trying to write a query in a stored procedure in SQL Server 2000. Because some of the parts of the query vary based on certain situations I construct a string that contains the query and ...

In SQL Server 2017, when the query optimizer encounters code with a multi-statement TVF, the query optimizer will pause optimization, execute the TVF subtree to get a very accurate cardinality ...

Spark SQL, part of Apache Spark, is used for structured data processing by running SQL queries on Spark data. Srini Penchikala discusses Spark SQL module & how it simplifies data analytics using SQL.

Dino Esposito explains JSON-to-rowset native support in SQL Server 2016 and provides a realistic perspective of data query when you have JSON data stored in the database.

SQL Server 2019 builds on intelligent query processing features that were implemented in SQL Server 2017, and expands them to new areas of the database engine.

One advantage of using SQL, Oracle said, is that its declarative, data-oriented nature lets users describe the shape of query results, without having to wrestle with complex data access details or ...

Efficient query processing is underpinned by the design and implementation of novel data structures and algorithms that address the increasing demands of modern data-intensive applications.

Google Cloud has updated its fully managed distributed SQL database service Spanner to add graph processing capabilities, dubbed Spanner Graph. The update is expected to help developers build ...