Virtual log file growth In previous versions of SQL Server, if the next growth is more than 1/8 of the current log size, and the growth is less than 64 MB, four VLFs were created. In SQL Server 2022 (16.x), this behavior is slightly different. Only one VLF is created if the grow...
Technique #1: How to find duplicate values in SQL table Identifyingduplicate valuesin a database is essential for maintaining data integrity and accuracy. To find duplicate values in an SQL table, you can utilize the “GROUP BY” and “HAVING” clauses along with aggregate functions. ...
The v8.3 release of SSMA for SAP ASE is enhanced with targeted fixes that are designed to improve quality and conversion metrics. In addition, this release of SSMA for SAP ASE provides fixes that: Address accessibility issues Add basic support for hierarchyid type in SQL Server SSMA v8.2 The...
HAVING—The HAVING clause filters the result of aggregate functions in grouped information. It is similar to the WHERE clause in that the HAVING keyword is followed by an expression that evaluates to true, false, or unknown. You can test the expression by using standard comparison operators, Boo...
Many NoSQL databases are oriented toward aggregates—a collection of data that you interact with as a unit. This makes them a much more natural fit for modern, object-oriented programming languages. When choosing a NoSQL DB, you’ll probably want to start by choosing a data model—and then...
In this article Aggregate functions Analytic functions Bit manipulation functions Ranking functions Show 6 more Applies to: SQL Server Azure SQL Database Azure SQL Managed Instance Azure Synapse Analytics Analytics Platform System (PDW) SQL analytics endpoint in Microsoft Fabric Warehouse in ...
3. Financial services.When it comes to security, it’s not just a few rogue attackers—you’re up against entire expert teams. Security landscapes and compliance requirements are constantly evolving. Big data helps you identify patterns in data that indicate fraud and aggregate large volumes of ...
Approximate query processing withAPPROX_COUNT_DISTINCTFor scenarios when absolute precision isn't important but responsiveness is critical,APPROX_COUNT_DISTINCTaggregates across large datasets while using fewer resources thanCOUNT(DISTINCT())for superior concurrency. SeeApproximate query processing. ...
3. Financial services.When it comes to security, it’s not just a few rogue attackers—you’re up against entire expert teams. Security landscapes and compliance requirements are constantly evolving. Big data helps you identify patterns in data that indicate fraud and aggregate large volumes of ...
The unique design ofAnalyticDB for MySQLallows you to aggregate and analyze structured, semi-structured, and unstructured data from data lakes and databases. AnalyticDB for MySQL can simultaneously perform high-throughput batch processing and high-performance, real-time analysis, which reduces costs and...