Windows SQL Server
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Microsoft SQL Server is a relational database management system designed by Microsoft. As a database server required by other software applications, it is a software application whose main function is to store and retrieve data that can be run on the same computer or on another computer through a network. It mainly stores and retrieves information needed by other applications. Such applications may run on the same computer or on another computer. In a relational database management system, SQL is a special programming language built to manage data. A database server is a computer program that, as defined by the client-server model, offers database services to other programs or computers. Therefore, a database server implementing the Structured Query Language ( SQL) is a SQL Server. Microsoft SQL Server has many multiple variations, catering to various workloads and demands. A version of the data center is customized to higher levels of application support and usability, while a scaled-down edition of the Express is. Microsoft also combines with SQL Server a number of data management, business intelligence ( BI), and analytics tools. The data analysis offerings include SQL Server Analysis Services, an analytical engine that processes data for use in BI and data visualization applications, in addition to the R Services and now Machine Learning Services technology that first emerged in SQL Server 2016, and SQL Server Reporting Services, which supports the generation and delivery of BI reports. Microsoft SQL Server contains SQL Server Integration Services on the data management side, SQL Server Data Quality Services, and SQL Server Master Data Services. Two sets of tools for DBAs and designers are also packaged with the DBMS: SQL Server Data Tools for use in database development, and SQL Server Management Studio for use in database deployment, monitoring, and management.
Top features of Windows SQL Server
- Memory-optimized with TempDB Metadata.
- Accelerated Database Recovery (ADR) .
- Intelligent Query Processing (IDQ) Improvements.
- Replication in Linux.
- Always Encrypted with Secure Enclaves.
- Intelligence across all your data with Big Data Clusters.
- Run SQL Server anywhere.
- Industry-leading performance.
- Most secured data platform.
- Unparalleled high availability.
- End-to-end mobile BI.
- SQL Server on Azure.
Let us better understand the main features of Windows SQL Server
Increase memory availability
Running SQL Server can be a pretty RAM-intensive process, so adding more memory could be a good way to overcome this if your database is trying to keep pace. To accomplish this, you do not obviously need to upgrade the physical hardware, as simply allocating more of the on-board memory of the server to running the SQL platform may be sufficient. This is also a problem that you can solve by migrating to the cloud, discharging the role of keeping and updating server hardware to a third-party provider.
Defragment the database
Fragmentation of data can be a millstone around the neck of your SQL Server implementation, so be sure to carry out defragmentation so that the storage is able to respond more swiftly to queries and avoid speed issues. This adjusts the physical ordering of information and the retrieval is time-consuming, resulting in slow database efficiency. Actually, defragmentation rebuilds or reconfigures the indexes to match the physical purchasing with the logical ordering of data.
Add more storage
Server performance can slow down to crawl if there's just not enough room left on your hard disks. This can also compromise the productivity of defragmentation itself, so it is just about certainly time to add more or handle your data if you are fast approaching the capacity of your storage so that any irrelevant data is removed. You should probably take the time to replace any spinning platter HDDs with more modern SDDs while doing this upgrade if this is within your budget. This can enhance speed for reading and writing, as well as provide better resilience and efficiency.
If you haven't installed the latest version of SQL Server or kept updated with the other software packages that are appropriate to your specific setup, you may be in a position to compromise performance as a result. Installing updates, while it may be a hassle, will not only address performance problems, but will also correct security flaws, so this should be considered essential.
Check suspicious processes
You might find that your server hardware is being taxed not just because database requests come in thick and fast and can't keep up, but because some malicious process has been permitted to monopolize the available resources. There seem to be a number of different apps that might cause such a snarl-up, so keeping tabs on which processes are running and how they use different aspects of the server will make it easier for you to spot issues.
Invest in a new CPU
Even if you've written ideal queries and dealt with all of the other possible concerns that might hold back SQL server performance, but if you have a sufficient CPU overhead to handle the processes that are central to the smooth running of the database. Luckily, an upgrade to the CPU is becoming a more affordable option, and chips with a lot of physical cores and even more logical threads can have less cash than you could imagine. So, in short, a combination of hardware and software tweaks will give you a boost in SQL server performance, you're looking forward to.
Memory-optimized TempDB Metadata
Are you tired of hindrances caused by a heavy workload on TempDB? Help is here at last! Now you can move the temp DB system tables to memory-optimized tables, taking the pressure off your disks. The good news is that it's really easy to enable and that makes TempDB more practical. The bad news is that the service needs to be restarted in order to take effect, and there are some restrictions. In this case, however the nice is likely to outweigh the bad.
Accelerated Database Recovery (ADR)
Database recovery takes a considerable amount of time and is a struggle to complete on time due to active long-term transactions. Managing transaction log growth, so it wouldn't run uncontrolled, has also been known to cause a lot of headaches. With SQL Server 2019, the log truncation process is far more forceful to help keep it out of control and take up all of your disk space. When allowed, ADR uses the Persisted Version Store to track changes that allow long-running transactions to be rolled back instantly. It doesn't matter how long the transaction has been going on or how big it is.
Intelligent Query Processing (IDQ) Improvements
Many performance enhancements have been made to the engine itself. Some of the more interesting ones include Scalar UDF inline, which automatically turns your scalar UDFs into something much more efficient and more set-based. Batch Mode on the Rowstore enables you to run the batch mode, and you no longer need to use the indexes of the column store. Table Variable Deferred collection results in the use of actual cardinality instead of an estimate during optimization and is compiled for the first time. Approximate Query Processing using the new APPROX COUNT DISTINCT function is a time when you need a quick row count estimate of unique values in a billion-something table and count is just too slow.
Always Encrypted with Secure Enclaves
A secure enclave is a server memory area where data can be accessed unsecured and provides you more control over your encrypted data. The engine now has built-in classification and a new T-SQL interface to help you categorize your solutions to achieve compliance standards. You could also use audits to find out who has access to your private information. These are just a handful of new and exciting functionalities that are now available in SQL Server 2019. Enhancements have also been made to Availability Groups, Query Store, Azure Data Studio. Finally, they modified the not-very-helpful "String or binary data would be truncated error message" to a message that involves not only table and column names, but also the truncated value!
Resumable Index Build
What this is: SQL Server now has the ability to prevent an index rebuilding operation, to keep up with the work that has been done so far, and to resume at some other point in time. Why this matter: some people still need index reconstructions and consume so many resources that even with the ONLINE option, they always have to deal with the reality of maintenance windows. The problem, however, is what occurs if you run out of time during the maintenance window? Previously, you'd have to cancel your rebuilding, wait for a possibly long recovery, and then start again from scratch. This new feature is getting rid of these problems!
Multiple Internal Performance Improvements
There are multiple internal efficiency improvements made by the SQL team for this release. There is a new index enhancement for indexes with sequential key, enhanced temp table recompilation, enhanced indirect checkpoint usability, and more. Why this matters: these are all performance improvements that come "out-of-the-box," optimize common SQL Server processes, and require no effort on the part of the client to make the most of them.
Another notable feature of SQL Server 2017 is support for the Python programming language, an open-source language that is commonly used in analytical applications. In addition, SQL Server R Services has been renamed Machine Learning Services and extended to run both R and Python apps. Initially, the machine learning set of tools and a variety of other characteristics are only available in the Windows version of the database software, with a more limited set of features supported by Linux.
What are Windows SQL Server editions?
Windows SQL Server 2019
SQL Server 2019 is due to be released at the end of 2019; however, a preview is available for download. SQL Server 2019 incorporates new features and adjustments that focus on performance, security, and increased work volume data. SQL Server 2019 enables users to join SQL Server, HDFS, and Spark containers together with a new Big Data Cluster feature. SQL Server 2019 also includes column store index builds, rebuilds, and static data masking. Accelerated Data Recovery is also new, which also performs and undoes the redo phase of the oldest page log sequence number. As an example, this is done in the event that the user closes an application that has been running for an extended period so that the user does not have to wait too long for the application to close.
Windows SQL Server 2017
Microsoft SQL Server has been running entirely on Windows for more than 20 years. However, in 2016, Microsoft also announced plans to make DBMS available on Linux, especially with a new version released as a community technology preview and initially dubbed SQL Server Next; eventually, the update was formally named SQL Server 2017, and became generally available in October of that year. SQL Server 2017 also extended Docker support for Windows systems to also include Linux-based containers in the previous release.
Windows SQL Server 2016
SQL Server 2016 added new functionalities for performance tuning, real-time operating analytics, and data visualization and reporting on mobile devices, plus hybrid cloud support that allows DBAs to run databases on a mixture of on-site systems and public cloud services to reduce IT costs, for example, SQL Server Stretch Database technology movements infrequently accessed data from on-site storage devices to the Microsoft Azure cloud even when keeping data available for querying, if necessary. SQL Server 2016 also increased support for large data analytics and other advanced analytics applications through SQL Server R Services, that also enables DBMS to run analytics applications written in the open-source R programming language, and PolyBase, a technology that allows SQL Server users to access data stored in Hadoop clusters or Azure blob storage for evaluation.
Windows SQL Server 2014
SQL Server 2014 added In-Memory OLTP, which allows users to run online transaction processing (OLTP) applications toward data stored in memory-enhanced tables rather than standard disk-based ones. Another new feature of SQL Server 2014 was the barrier pool extension, which also integrates the SQL Server buffer pool memory cache with a solid-state drive with another feature designed to boost throughput by unloading data from standard hard disks.
Windows SQL Server 2012
Previous versions included SQL Server 2005, SQL Server 2008, and SQL Server 2008 R2, which was considered the biggest release despite the soundtracking of its name. Next up were SQL Server 2012 and SQL Server 2014. SQL Server 2012 provided innovative features, such as column store indexes, that can be used to store data in a column-based format for data storage and analytics applications, and AlwaysOn Availability Groups, high availability, and disaster recovery technology.
Windows SQL Server 2008
SQL Server 2008 R2, which is shipped this month, allows end-users to tap into the powerful business intelligence features of SQL Server through deep integration with popular Microsoft applications such as Excel. Compared to its predecessor, SQL Server 2008, the latest version is more effective, with support for up to 256 logical CPUs. Moreover, a new Unicode compression scheme, USC-2, can save up to 50 percent of Unicode data storage specifications. PowerPivot allows end-users to import, manipulate, evaluate, and export data, as well as to create reports, all using the familiar Excel interface and language. Master Data Services is a unique and better feature designed to help an organization build a data structure and hierarchy so that data collected and used across multiple departments, silos, and databases are standardized and aligned. This ensures that the various databases are interoperable.
Windows SQL Server allows you to manage numerous users at the same time and make sure that transactions observe the characteristics of the chosen isolation level. Locking protects data and internal resources that allow a multi-user system to function as a single-user system.