Amazon RDS for SQL Server makes it easy to set up, operate, scale, and perform task executions of Microsoft SQL Server deployments — all in the cloud.
Microsoft SQL Server is a relational database management system developed by Microsoft. Amazon RDS for SQL Server makes it easy to set up, operate, and scale SQL Server deployments in the cloud.
Below is the process involved in task executions of SQL Server.
The max_workers_count on the sys.dm_os_sys_info DMV shows the maximum number of workers that can be created, and active_worker_count from sys.dm_os_schedulers shows the number of workers that are active at any given time. If you monitor this value, you can find out the maximum numbers of workers that are really used by your SQL Server instance. For example, running the following on my test system with 16 logical processors shows 512 maximum workers but only 32 actives when the query was executed:
A task is an execution request and represents the work that needs to be performed while a worker maps to an operating system thread (when the thread mode, the default, is used) or to a Windows fiber if Windows fibers (lightweight pooling) configuration option is used) . Figure 1-1 shows the task execution process.
As mentioned earlier, in SQL Server, a scheduler runs in a non-preemptive mode, meaning that a task voluntarily releases control periodically and will run as long as it quantum allows it or until it gets suspended on a synchronization object (a quantum or time slice is the period of time for which a process is allowed to run) . Under this model, threads must voluntarily yield to another thread at common points instead of being randomly context-switched out by the Windows operating system. The SQL Server code was written so that it yields as often as necessary and in the appropriate places to provide better system scalability.
The above figure shows that a task can also run in preemptive mode, but this will only happen when the task is running code outside the SQL Server domain; for example, when executing an extended stored procedure, a distributed query, or some other external code. In this case, since the code is not under SQL Server control, the worker is switched to preemptive mode and the task is not controlled by the scheduler. You can identify whether a worker is running in preemptive mode by looking at the is _preemptive column of the sys.dm_os_workers DMV.
As indicated earlier, SQL Server by default will run in thread mode. An alternate choice is running in a Windows fiber mode. Running SQL Server in a Windows fiber mode is rarely recommended as it is only helpful for certain situations in which the context switching of the workers is the critical bottleneck in performance. In addition, common language runtime (CLR) execution is not supported under lightweight pooling. The lightweight pooling server configuration option, which defaults to 0, can be used to enable Windows fiber mode, for example, by running the following statement:
Of course, if you try this in your test environment, don’t forget to set it back to 0 before continuing. Looking at the is_fiber column on the sys.dm_os_workers DMV will show whether the worker is running using lightweight pooling.

Sentiment rank: 1.1

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Learn about the breadth of supported data types, using personalization for POS systems, and using Microsoft Azure as a scalable solution for e-commerce.
E-commerce brands have become very dependent on Hadoop tools to access big data to optimize their marketing, logistics, and customer service strategies. While a number of Hadoop platforms have the functionality they need, Microsoft Azure is one of the most popular.
Mike Hanrahan, CTO of Jet.com, states that Azure has played an important role in optimizing and scaling their e-commerce funnels.
One of the primary reasons Azure is a preferred solution for e-commerce providers is that it has a 99.9% service-level agreement guarantee. This is the primary selling point Microsoft makes. However, there are a number of other reasons e-commerce brands use Azure, which are overlooked on Microsoft’s sales page.
As demand for online products continues to rise, e-commerce brands are focusing more on scalability than ever before. Big data has provided numerous opportunities to expand, using it to:
Brands need to tap many different types of data to optimize their strategies. However, such scalability isn’ t possible with Hadoop environments that are restricted to homogeneous data sets. In e-commerce applications, data comes in many different structured and unstructured formats, so it’s important to use a Hadoop environment that can handle it. Azure is capable of processing and storing any type of data set.
Before Hadoop was released by Apache, e-commerce brands had difficulty capitalizing off of the data they harvested. Even today, many Hadoop platforms aren’t robust enough to meet these demands.
Microsoft Azure gathers data more efficiently than other Hadoop tools, so it is ideal for e-commerce brands with high-volume data requirements.
Microsoft Azure initially pitched itself to SMEs with an infrastructure as a service (IaaS) business model. The Microsoft Azure infrastructure includes:
Microsoft Azure’s IaaS model appealed to different customer bases for different reasons. Small- and medium-sized e-commerce brands choose it for the breadth of services, so they don’t need to invest in their own infrastructure. Larger brands tend to already have their own operating systems but still appreciate Azure for its vast computing power. Ironically, larger e-commerce brands seem to prefer at the most, because of its scalability.
Personalization has become a very important part of e-commerce in recent years. Their ability to personalize content is limited to the scope of the data they can collect. Fortunately, Azure can help solutions such as Shopify POS collect much more data on their customers.
Microsoft Azure is primarily recognized for its ability to store and access big data with sophisticated Hadoop algorithms. However, e-commerce providers also choose Azure for another benefit that most other users overlook: its impressive bandwidth.
E-commerce companies must be able to cope with unexpected traffic surges, particularly near holiday seasons.
Microsoft Azure customers can purchase over 500 terabytes of bandwidth every month, which is far more extensive than most other solutions. This massive bandwidth makes it much easier for e-commerce brands to handle traffic volume near peak sales periods.
Hadoop-based environments give e-commerce brands a powerful advantage in a world that is increasingly governed by big data. Microsoft Azure is one of the most versatile Hadoop solutions available, so a growing number of e-commerce brands are leveraging it.

Sentiment rank: 1.6

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