C Rpc Library

In the past Client-server, RPC framework hierarchies such as CORBA and RMI did not seek because such technologies could extend a stand-alone IPC (inter-process communication, interprocess communication) to communication between multiple computers, This is very helpful for extensibility, but for a variety of reasons these RPC frameworks have not been adopted by the industry on a large scale. In the era of cloud computing, more and more machines are needed for distributed communications, although they can be easily communicated by using the HTTP protocol.

In the past era of Client-Server, RPC framework like CORBA and RMI has many levels, because this kind of technology can extend stand-alone IPC (Inter-process communication) and inter-process communication into communication mode between multiple machines, This is very helpful and valuable for scalability, but for various reasons these RPC frameworks have not been adopted and used extensively in the industry. And in our time, there is a growing need for machines for distributed communication, though ...

1. Kyoto Buffer protocal Buffer is a library of Google Open source for data interchange, often used for cross-language data access, and the role is generally serialized/deserialized for objects. Another similar open source software is Facebook open source Thrift, their two biggest difference is that thrift provides the function of automatically generating RPC and protocal buffer needs to implement itself, but protocal buffer one advantage is its preface ...

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 ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Blockchain is currently a relatively popular new concept, containing two concepts of technology and finance. From a technical point of view, this is a distributed database that sacrifices consistency efficiency and guarantees eventual consistency. Of course, this is one-sided. From an economic point of view, this kind of fault-tolerant peer-to-peer network just meets a necessary requirement of the sharing economy - a low-cost trusted environment.

1. The introduction of the Hadoop Distributed File System (HDFS) is a distributed file system designed to be used on common hardware devices. It has many similarities to existing distributed file systems, but it is quite different from these file systems. HDFS is highly fault-tolerant and is designed to be deployed on inexpensive hardware. HDFS provides high throughput for application data and applies to large dataset applications. HDFs opens up some POSIX-required interfaces that allow streaming access to file system data. HDFS was originally for AP ...

During the year, we saw that many vendors focused mainly on integrating Hadoop or NOSQL data processing engines and improving basic data storage. The most successful thing about Hadoop is that it uses MapReduce. MapReduce is a programming model for processing Super large datasets and generating related execution, MapReduce's core idea is to draw lessons from the function is the programming language and the character of the vector into language. Today includes Microsoft, IBM, Oracle, Cloudera, mapr ...

As a software developer or DBA, one of the essential tasks is to deal with databases, such as MS SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, and so on. As we all know, MySQL is currently the most widely used and the best free open source database, in addition, there are some you do not know or useless but excellent open source database, such as PostgreSQL, MongoDB, HBase, Cassandra, Couchba ...