The characteristics of Jini technology oriented to network and distributed computing determine the difference between the Jini technology and the traditional stand-alone system in many aspects, which are conceptually and practically applied. such as network delay, failure, or sudden withdrawal of equipment, will result in disorder and loss of information, the acquisition, preservation, maintenance and recovery of resources are more complex, the reliab
primary server to any number of slave servers, from the server to the primary server that is associated with other slave servers. This enables Redis to perform single-layer tree replication. The data can be written intentionally or unintentionally from the disk. Because of the full implementation of the publish/subscribe mechanism, you can subscribe to a channel and receive a complete message release record from the master server when the tree is synchronized anywhere from the database. Synchro
I haven't written any technical articles for a long time, because I have been thinking about how to write the "backend distributed" series. Recently, I have basically figured out that "backend distributed" includes "distributed storage" and "distributed computing. I haven't written any technical articles for a long tim
Microsoft reg; SQL Server #8482; allows you to create a link to an OLE DB data source called a linked Server. After connecting to the ole db data source, you can:Reference a row set from an ole db data source as a table in a Transact-SQL statement.The command is passed to the ole db data source and contains the result row set as a table in the Transact-SQL statement.Each distributed query can reference servers with multiple links and update or read
Trivial-hadoop 2.2.0 pseudo-distributed and fully distributed installation (centos6.4), centos6.4 installation tutorial
The environment is centos6.4-32, hadoop2.2.0
Pseudo distributed document: http://pan.baidu.com/s/1kTrAcWB
Fully Distributed documentation: http://pan.baidu.com/s/1hqIeBGw
It is somewhat different f
Background: Transactions are a basic concept of a database management system, and transactions have four basic characteristics, namely, acid: atomicity (atomicity), consistency (consistency), isolation (isolation), and persistence (durability), The consistency and integrity of the database can be ensured through the transaction mechanism. However, database transactions can only be transacted at the same session level of the DB instance. Distributed tr
Microsoft®sql Server™ allows you to create a link to an OLE DB data source called a linked server. After linking to the OLE DB data source, you can:
References a rowset from an OLE DB data source as a table in a Transact-SQL statement.
Passes the command to the OLE DB data source and contains the result rowset as a table in the Transact-SQL statement.
Each distributed query can reference multiple linked servers, and each linked server can perform an u
This article takes the Distributed File System (HDFS) provided by Hadoop as an example to further expand the key points of the design of the Distributed Storage Service architecture.Architectural goalsAny software framework or service is created to solve a specific problem. Remember some of the concerns we described in the article "Distributed Storage-Overview"?
Distributed Concepts
To understand a distributed system, the main need to understand the 2 aspects:
1. A distributed system must be a system composed of multiple nodes.Among them, the node refers to the computer server, and these nodes are generally not isolated, but interoperability.2. These connected nodes have our nodes deployed, and there is synergy between
When it comes to high concurrency, a lot of people think about distribution, so what's the difference?
Concurrency and distribution are completely different concepts.
Concurrency is reflected in the amount of time, such as video online live site, there may be tens of thousands of people need to access the server at the same time, this is concurrency.
Distribution is to distribute tasks to different points, and distributed computing is the most co
Some difficult problems in distributed design and development must be solved by using some algorithms. For example, the consistency problem in the distributed environment, I feel that the following distributed algorithms must be understood (to be added as learning goes deeper ):
Paxos Algorithm
Consistent Hash Algorithm
Paxos Algorithm1) Problem DescriptionIn
ZooKeeper is a distributed open-source Coordination Service for distributed applications. It uses a set of simple operation primitives to enable distributed applications to implement high-level services, such as synchronization, configuration maintenance, group and naming management. It is designed with ease of programming and uses a data model similar to the dir
performance benefits achieved. In a distributed system, the caching system must also handle the additional complexity of communication and host failures.The lease mechanism (leases), as a time-based mechanism, provides efficient and consistent access to cached data in distributed systems. By using it, you can ensure that non-Byzantine failures only affect performance, but do not damage correctness, while m
In the previous article, we already know how to store the data in the index and how to retrieve it. But we're masking the technical details of the specific implementation of data storage into the cluster and getting data from the cluster (but we glossed over many technical details surrounding how the data is distributed and Fetched from the cluster). 1. Routing documents into shards (Routing a document to a Shard)
When you index a document, it is stor
I haven't written any technical articles for a long time, because I have been thinking about how to write the "backend distributed" series. Recently, I have basically figured out that "backend distributed" includes "distributed storage" and "distributed computing. Find the answer based on the problems encountered in ac
Forwarding Please indicate this article linkPreparatory work:Vmware-workstation (network unification is set to bridging)Xshell or putty (easy to operate under Windows, copy and Paste commands convenient, more recommended to use the first, the future does not need to enter the IP address and account password)FileZilla (transfer file, port 22, using the SFTP protocol)Environment forCentos6.5 X86 MinimalHadoop1.2.1jdk-8u73-linux-i586First configure pseudo-distr
A brief introduction of distributed service registration and Discovery ConsulConsul is an open source tool launched by Hashicorp company to realize the service discovery and configuration of distributed system. With other distributed services registration and Discovery Program, Consul's scheme is more "one-stop", built-in service registration and discovery Framew
Implement distributed locks Based on Redis and distributed locks Based on Redis
BackgroundIn many Internet product applications, some scenarios require locking, such as seckilling, global incremental ID, and floor generation. Most solutions are implemented based on databases. Redis adopts the single-process and single-thread mode and uses the queue mode to convert concurrent access to serial access. In addi
Abstract: Mainly located in the Internet Enterprise architecture, has built-in enterprise information system basic functions and efficient code generation tools, including: System permissions components, data rights components, data dictionary components, core tool components, view operations components, workflow components, code generation and so on. Adopt layered design, double authentication, submit data security code, password encryption, access authentication, data permission verification.I
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