Parallel Query Optimization

Research on fast query algorithm of mass data the Nanjing University of Posts and telecommunications Zeng She thesis first introduced the index, SQL statement optimization, data prefetching, approximate matching and distributed query, such as the existing mass data query technology, and summed up the application of various technologies. Then the classical top-k query algorithm is analyzed, based on the TA (Threshold algorithm) algorithm and the NRA (No Random Access) algorithm and approximate matching query thought ...

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

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 ...

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

Intermediary transaction SEO diagnose Taobao guest Cloud host technology Lobby database optimization is a very complex task, because it ultimately requires a good understanding of system optimization. 　　Even though the system or application system does not know much about the optimization effect is good, but if you want to optimize the effect of better, then you need to know more about it. 1, the optimization of the system to run faster the most important factor is the basic design of the database. 　　And you have to be aware of what your system is going to do, and the bottlenecks that exist. The most common system bottlenecks are as follows: ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall Successful website has the reference place, for the novice that involves the Internet to start a business, how to make the first bucket gold quickly through the construction station, understands and borrows the profit pattern of the successful website is very necessary. One, you can also be a successful webmaster two, play stocks of the stock City network three, car China to do the most practical car website four, CG art pioneer-cgfinal Net Five, take the specialization direction of the emerged female network six, change the network experience DIY pictures of fun ...

"Silicon Valley net November 4," according to the 16th issue of the 2012 edition of "Silicon Valley" magazine, the paper describes the definition, classification, supporting technology and architecture of cloud computing by using the method of literature analysis, and introduces the research status and some technical solutions of cloud computing related technologies from the aspects of Computing architecture, programming model and 　　Looking forward to the development trend of cloud computing, it can provide reference for the research of cloud computing. Keywords: cloud computing, parallel computing, virtualization, on-demand use of 0 introduction cloud computing (cloudcomputing) was born in the 3rd quarter of 2007 ...

In 2017, the double eleven refreshed the record again. The transaction created a peak of 325,000 pens/second and a peak payment of 256,000 pens/second. Such transactions and payment records will form a real-time order feed data stream, which will be imported into the active service system of the data operation platform.

MapReduce: Simple data processing on large cluster

Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...