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SQL Server 2017 assists database administrators by identifying and optimizing problematic query execution plans through continuous monitoring and workload analysis, streamlining routine tasks such as monitoring query performance and managing indexes.
Database Management
Supports Linux
CAL Model
SQL Server 2017 assists database administrators by identifying and optimizing problematic query execution plans through continuous monitoring and workload analysis, streamlining routine tasks such as monitoring query performance and managing indexes.
SQL Server 2017 introduces efficient string manipulation functions, simplifying T-SQL statements and reducing query execution time previously spent on decoding character literals.
This feature allows cross-database transactions across different SQL instances, including support for distributed transactions, which wasn’t possible in SQL 2016’s limited cross-database access within the same SQL server instance.
This feature optimizes query execution by addressing memory allocation and join method issues, offering techniques like Batch Mode Memory Grant Feedback, Batch Mode Adaptive Joins, and Interleaved Execution to enhance performance.
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