Query Performance Tuning

April 24, we released a preview version of the SQL Database base level (preview) and standard (preview) new service levels and new business continuity features. In this blog post, we delve into the performance of new levels in SQL Database. Begin with the need for change. We focus on performance (specifically predictable performance) in new service levels, driven primarily by strong customer feedback on SQL Database Web-Level and enterprise-class performance. Web-and enterprise-level performance ...

In mailbox rapid expansion process, one of the performance problems is the MongoDB database level write lock, the time spent in the lock waiting process, directly reflects the user's use of the service process delay. To address this long-standing problem, we decided to migrate a common set of MongoDB (storing mail-related data) to a separate cluster. According to our inference, this will reduce the lock latency by 50%, and we can add more fragments, and we expect to be able to optimize and manage different types of data independently. We start from Mon ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall happened to see the previous wrote this post "small scale low performance low flow Web site design principles", re-sent to micro-blog caused a little response, feel the need to Linode VPS as an example of a simple optimization practice, so that someone always ask me, 　　and also to earn a bit of clicks:) Assuming now you've got a basic VPS available, basic memory 512MB. Refer to the various installation instructions provided by the official to run this combination of LAMP ...

Designing 1 applications doesn't seem to be difficult, but it's not easy to achieve the optimal performance of the system. There are many choices in development tools, database design, application structure, query design, interface selection, and so on, depending on the specific application requirements and the skills of the development team. This article takes SQL Server as an example, discusses the application performance optimization techniques from the perspective of the background database, and gives some useful suggestions. 1 database design to achieve optimal performance in a good SQL Server scenario, the key is to have 1 ...

More and more enterprises are using Hadoop to process large data, but the overall performance of the Hadoop cluster depends on the performance balance between CPU, memory, network and storage. 　　In this article, we will explore how to build a high-performance network for the Hadoop cluster, which is the key to processing analysis of large data. As for Hadoop "Big Data" is a loose set of data, the growing volume of data is forcing companies to manage in a new way. Large data is a large set of structured or unstructured data types ...

The implementation of the "TechTarget China original" Large data solution has put many IT departments in a dilemma. Large data applications do not require the same infrastructure as the support team does for applications. As companies accept big data, management assumes that the size of their workforce will be reduced. And what do non-essential technicians do? One answer is to transform it into a technical advisor and collaborate with the business unit. In other words, it's giving them a customer-facing role. The state of information technology after large data &nbs ...

Requirements Satisfaction Overview One, what is the demand to meet 1.1 what is the demand to meet the user to search "octopus Paul", in terms of textual relevance, search engines just return and "octopus Paul" content related to the results can be, so the user is satisfied? User A: I heard the octopus hung up to see the latest results, How is it all August, back page ... User B: Today colleagues are talking about the octopus brother Hung, what is the Octopus brother? I am out again, to search the Octopus Emperor's life story is what, how all the latest ...

"IT168" with the increasing demand for large data solutions, Apache Hadoop has quickly become one of the preferred platforms for storing and processing massive, structured, and unstructured data. Businesses need to deploy this open-source framework on a small number of intel® xeon® processor-based servers to quickly start large data analysis with lower costs. The Apache Hadoop cluster can then be scaled up to hundreds of or even thousands of nodes to shorten the query response time of petabytes to the second.

Liang: Good afternoon, I am the Super Cloud Product manager Leung Yiu-chung, thank you just now my two leaders to do a more wonderful speech, more vivid, give me half an hour to introduce you to the Yun Hui. Before I introduce this product or solution to you, I would first explain to you our company's corresponding concept of large data and large data corresponding solutions in our company. We have three questions to solve for big data or three questions to ask the customer, there are three. The first one, the customer's actual demand is what he is now in the big ...

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall from the architect's point of view, architecture is a set of guidelines for building systems. With this set of guidelines, we can divide a complex system into a set of simpler subsystems that should remain independent and consistent with the entire system. 　　And each subsystem can continue to subdivide, thus forming a complex enterprise-class architecture. A choice of technical solutions and physical structure of how to choose technical solutions and physical structure, for many of the new Contact platform Web site developed ...