This post was authored by Meet Bhagdev, Program Manager, Microsoft
We are excited to announce the Production Ready release for the Microsoft Drivers v4.3.0 for PHP for SQL Server. The drivers now support Debian Jessie and macOS. The driver enables access to SQL Server, Azure SQL Database, and Azure SQL DW from any PHP application on Linux, Windows, and macOS.
Notable items for the release:
Added PHP 7.1 support Added Unicode Column name support (issue #138) Support for transparent connections to AlwaysOn Availability Groups. The driver quickly discovers the current AlwaysOn topology of your server infrastructure and connects to the current active server transparently. Added support for sql_variant data type with limitation (issue #51 and issue #127) Debian Jessie (tested on Debian 8.7) and macOS (El Capitan and above) support Connection Resiliency support for Windows Connection pooling support for Linux and macOS Fixed Fixed the assertion error (Linux) when fetching data from a binary column using the binary encoding (issue #226) Fixed PECL installation errors when PHP was installed from source (issue #213) Fixed issue output parameters bound to empty string (issue #182) Fixed a memory leak in closing connection resources Fixed load ordering issue in MacOS (issue
This post was authored by Tony Petrossian, Partner Group Program Manager, Database Systems Group
SQL Server 2017 will bring with it support for the Linux OS and containers running on Windows, Linux, and macOS. Our goal is to enable SQL Server to run in modern IT infrastructure in any public or private cloud.
With support for containers, SQL Server can now be used in many popular DevOps scenarios. Developers working with Continuous Integration/Continuous Deployment (CI/CD) pipelines can now include SQL Server 2017 containers as a component of their applications for an integrated build, test, and deploy experience.
CI/CD automation with containers – Using containers greatly simplifies the development, testing, and deployment of applications. This is achieved by the packaging of all dependencies, including SQL Server, into a portable, executable environment that reduces variability and increases the speed of every iteration in the CI/CD pipeline. This also enforces a consistent experience for all participants since they can share the same state of an application in their containers. Developers can improve applications in their local environments during the first part of the Continuous Integration process.
The development process starts by taking a container that represents the current state of a production application,
We are pleased to announce the first public release candidate for SQL Server 2017, Release Candidate 1 (RC1), available for download now. This means that development work for the new version of SQL Server is complete along most dimensions to bring the industry-leading performance and security of SQL Server to Windows, Linux, and Docker containers. In our seven community technology previews (CTPs) to date, SQL Server 2017 has delivered:
Linux support for tier-1, mission-critical workloads – SQL Server 2017 support for Linux includes the same high availability solutions on Linux as Windows Server, including Always On availability groups integrated with Linux native clustering solutions like Pacemaker. Graph data processing in SQL Server – With the graph data features available in SQL Server 2017 and Azure SQL Database, customers can create nodes and edges, and discover complex and many-to-many relationships. Adaptive query processing – Adaptive query processing is a family of features in SQL Server 2017 that automatically keeps database queries running as efficiently as possible without requiring additional tuning from database administrators. In addition to the capability to adjust batch mode memory grants, the feature set includes batch mode adaptive joins and interleaved execution capabilities. Python integration for advanced analytics
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