Java Dynamic Memory

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 ...

In this issue of Java Development 2.0, Andrew Glover describes how to develop and deploy for Amazon elastic Compute Cloud (EC2). Learn about the differences between EC2 and Google App Engine, and how to quickly build and run a simple EC2 with the Eclipse plug-in and the concise Groovy language ...

The release of the Java version of almost all platforms involves all aspects of the Java language itself and the JVM. So for Java 7, from the JSR draft, we get the high-level goal of Java 7: Compatibility--Any program that runs on previous versions must be able to run in Java SE 7 without making any changes; development efficiency--improve development efficiency, minimal learning curve; performance--New parallel API Interface, introduces a real asynchronous I/O AP ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall dynamic application, is relative to the website static content, is refers to the network application software which uses in C/S, PHP, Java, Perl,. NET and so on server language development, such as forum, the network album, makes friends, the blog and so on common application 　　Dynamic application system is usually closely related to database system, caching system and distributed storage System. The platform of large dynamic application system is mainly aimed at the low-level system architecture of large traffic and high concurrent web. The operation of a large web site requires a ...

This article is my second time reading Hadoop 0.20.2 notes, encountered many problems in the reading process, and ultimately through a variety of ways to solve most of the. 　　Hadoop the whole system is well designed, the source code is worth learning distributed students read, will be all notes one by one post, hope to facilitate reading Hadoop source code, less detours. 1 serialization core Technology The objectwritable in 0.20.2 version Hadoop supports the following types of data format serialization: Data type examples say ...

It companies around the world are working to virtualize and automate data centers in the hope of helping their business achieve higher value and lower costs, delivering new data-driven services faster and more efficiently. Intel (R) Xeon (TM) processor-based servers provide the foundation for this innovation. These servers account for the vast majority of all servers in the current virtualization center and cloud environment, and can support most of the most high-performance workstations. Performance improvement up to 35% Intel Xeon Processor e5-2600 ...

1. Languages used in COUCHDB: Erlang features: DB consistency, easy to use license: Apache protocol: http/rest bidirectional data replication, continuous or temporary processing, processing with conflict checking, therefore, The use of Master-master replication (see note 2) mvcc– write without blocking read operation Pre-save version crash-only (reliable) design requires data compression view: Embedded mapping/Reduce formatted view: List display support for server ...

The REST service can help developers to provide services to end users with a simple and unified interface. However, in the application scenario of data analysis, some mature data analysis tools (such as Tableau, Excel, etc.) require the user to provide an ODBC data source, in which case the REST service does not meet the user's need for data usage. This article provides a detailed overview of how to develop a custom ODBC driver based on the existing rest service from an implementation perspective. The article focuses on the introduction of ODBC ...

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 ...

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, ...