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Hive (iv) –hive QL

Hive in the official document of the query language has a very detailed description, please refer to: http://wiki.apache.org/hadoop/Hive/LanguageManual, most of the content of this article is translated from this page, Some of the things that need to be noted during the use process are added. Create tablecreate [EXTERNAL] TABLE [IF not EXISTS] table_name [col_name data_t ...

Store billions of photos, how does Facebook do it?

Sharing photos is already one of the most popular features on Facebook. So far, users have uploaded more than 1.5 billion photos, making Facebook the biggest photo-sharing site. For each uploaded photo, Facebook generates and stores four images of different sizes, which translates into 6 billion photos, with a total capacity of over 1.5PB. At present, the rate of 2.2 million new photos per week increases, which is equivalent to an additional 25TB of storage per week. And in the peak per second need transmission ...

Facebook Image Storage Architecture Learning

Sharing photos is one of the most popular features of Http://www.aliyun.com/zixun/aggregation/1560.html's >facebook. So far, users have uploaded more than 1.5 billion photos, making Facebook the largest photo-sharing site. For each uploaded photo, Facebook generates and stores four images of different sizes, converting to a total of 6 billion photos with a total capacity of over 1.5PB. Currently 2.2 million new photos per week ...

SEO site Optimization How to make external links healthier

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest Cloud host Technology Hall website optimization is a system engineering, The layout of the station should conform to the SEO specification and the SEM co-ordination strategy, and the external optimization of the website is that we often refer to the foreign company for the emperor How to do to be healthier. Many friends of the site down the right is because of the chain of problems, outside the chain of problems the most serious factor is the external chain ...

Learn more about Hadoop

-----------------------20080827-------------------insight into Hadoop http://www.blogjava.net/killme2008/archive/2008/06 /05/206043.html first, premise and design goal 1, hardware error is the normal, rather than exceptional conditions, HDFs may be composed of hundreds of servers, any one component may have been invalidated, so error detection ...

Image server architecture evolution

Now almost any application, such as a website, a web app and a mobile app, needs a picture display function, which is very important for the picture function from the bottom up. Must have a forward-looking planning picture server, picture upload and download speed is of crucial importance, of course, this is not to say that it is to engage in a very NB architecture, at least with some scalability and stability. Although all kinds of architecture design, I am here to talk about some of my personal ideas. For the picture server IO is undoubtedly the most serious resource consumption, for web applications need to picture service ...

Nginx server for some optimizations that easily break through 100,000 concurrent

Optimization (configuration file) in the Nginx Directive worker_processes 8; Nginx number of processes, it is recommended to be specified according to the number of CPUs, generally a multiple of it. Worker_cpu_affinity 00000001 00000010 00000100 00001000 00010000 00100000 01000000 10000000; Allocate CPUs for each process, in the example above, 8 processes are allocated to 8 CPUs, of course can be written multiple, or ...

Discussion on the design of personal network disk products from the perspective of cloud storage ecological chain

Cloud computing is a popular concept in recent years, the concept of the most close to the common user of one of the branches, that is, personal cloud storage. From the famous Dropbox to the domestic various "network disk" products, more and more netizens began to move their data from the computer hard drive to the cloud. When we look back at history, we can see that the need to "save a file somewhere (for example, online) and access it anywhere" has always been there. Many years ago, when we were still using the DOS6.22 era, the popular way was ...

MySQL vs. MongoDB have a winner.

The initial key value comparison, MongoDB victory faster, and this has always been our goal to give the database system MySQL dragster the speed of the disk as its biggest obstacle, this really can make sense? Let's just make an obstacle, what about the solution? If an obstacle limits your dragster, you can choose to bypass it faster or improve on the computer. For example: Avoid the use of disk, as much as possible memory in lieu of faster disk (such as SSD) in fact, this is not good analogy, because the limit from the disk is like ...

MapReduce Pure Technical Point article about Hadoop

This article focuses on the entire mapreduce process of Hadoop, do not tell stories, not nonsense, focus on describing each link. Through the article to Google over a lot of hard, I took some notes, add some of their own opinion, not necessarily all right, we have to discriminate. I hope this article has some help for mapreduce students who want to learn about Hadoop. A. Using the Map/reduce algorithm's Goal 1 to be able to compute distributed processing a) when needed, data is always available B) applications don't care how much ...

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