Linux Thread Priority

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Java programmers master the system knowledge of the CPU

Last year in the investigation of a lot of java applications, see some of the phenomenon is the programmer to run on their own environment to read the program rarely lead to troubleshooting problems will be more frustrating, so think of writing this series of articles, procedures To provide functionality to end-users, the code is only one part of it, and it needs to be relied on for jvm, os, server hardware, networking, load balancing, etc. In this series of articles, Several parts, more is only a science role, because os I use are linux, this series ...

Build highly available MongoDB clusters

MongoDB company formerly known as 10gen, founded in 2007, in 2013 received a sum of 231 million U.S. dollars in financing, the company's market value has been increased to 1 billion U.S. dollar level, this height is well-known open source company Red Hat (founded in 1993) 20 's struggle results. High-performance, easy to expand has been the foothold of the MongoDB, while the specification of documents and interfaces to make it more popular with users, this point from the analysis of the results of Db-engines's score is not difficult to see-just 1 years, MongoDB finished the 7th ...

HBase Write Data process

Blog Description: 1, research version hbase 0.94.12;2, posted source code may be cut, only to retain the key code.   Discusses the HBase write data process from the client and server two aspects. One, client-side 1, write data API write data is mainly htable and batch write two API, the source code is as follows://write the API public void to put ("final") throws IO ...

How to use hadoop Baidu, and made what improvements

As the largest Chinese search engine company in the world, Baidu offers a variety of products based on search engines and covers almost all search needs in the Chinese online world. Therefore, Baidu requires relatively large amounts of data to be processed online. Analysis, but also within the prescribed time processing and feedback to the platform. Baidu's platform needs in the Internet area to be handled by the cloud platform with better performance, Hadoop is a good choice. In Baidu, Hadoop is mainly used in the following areas: log ...

A ramble on the technology of virtualization

With the extensive deployment of multi-core systems, clusters, grids and even cloud computing in recent years, virtualization technology has become more and more advantageous in business applications, not only reducing it costs, but also enhancing system security and reliability, and the concept of virtualization has gradually deepened into people's daily work and life. Aiming at the x86 platform, this paper first gives the basic concept and classification of virtualization technology, then expounds the realization principle and challenge of pure software virtualization, and finally introduces ...

Flo 1.57 Release I/O benchmarking tool

Flo is an I/O for benchmarking and stress/hardware verification tools. It supports 13 different types of I/O engines (sync,mmap,libaio,posixaio,sg v3,splice,http://www.aliyun.com/zixun/aggregation/19527.html "> Null,network,syslet,guasi,solarisaio and so on), I/O priority (new Linux ...)

Yan Lan: build a highly available MongoDB cluster (2)

http://www.aliyun.com/zixun/aggregation/13461.html"> MongoDB, formerly known as 10gen, was founded in 2007 and after receiving a total of $ 231 million in 2013, the company's market capitalization has risen to 10 Billion dollar level, which is the result of 20 years of Red Hat, a well-known open-source company founded in 1993. High performance and easy scalability have been the foundation of MongoDB and meanwhile standardized documents ...

"Ask Bottom" Xu Peng: Use Spark+cassandra to build high-performance data analysis Platform (i)

"Guide" the author (Xu Peng) to see Spark source of time is not long, note the original intention is just to not forget later. In the process of reading the source code is a very simple mode of thinking, is to strive to find a major thread through the overall situation. In my opinion, the clue in Spark is that if the data is processed in a distributed computing environment, it is efficient and reliable. After a certain understanding of the internal implementation of spark, of course, I hope to apply it to practical engineering practice, this time will face many new challenges, such as the selection of which as a data warehouse, HB ...

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