Mysql Multi Master Cluster

Mysql/galera is a distributed version of MySQL that can be used to create a synchronous multiple master MySQL (InnoDB) cluster. It is based on the concept of write settings synchronization and the patched MySQL server as well as the galera composition, a universal synchronous backend that implements the Wsrep interface. Mysql/galera has a truly multiple-master function that can be modified at the same time on different nodes in the same table. This is truly highly available and will never lose a committed transaction. Mysql/galera Version 1.0 ...

Mysql/galera is a distributed version of MySQL that can be used to create a synchronous multiple master MySQL (InnoDB) cluster. It is based on the concept of write settings synchronization and a patched MySQL server and galera composition, a universal synchronous backend that implements the Wsrep interface. Mysql/galera has a truly multiple-master function that can be modified at the same time on different nodes in the same table. This is truly highly available and will never lose a committed transaction. Mysql/galera 0.8 ....

Here's an excerpt of the background, followed by a record of the operations I migrated from MySQL 5.5.31 to mariadb 5.5.31 on CentOS 6.4. 　　Finally, I found a better way to migrate. 1. Background introduction MySQL is the world's most popular open source relational database. 2008, Sun acquired MySQL. Then, in 2010, Oracle bought Sun, and MySQL fell into Oracle's hands. Oracl ...

November 2013 22-23rd, as the only large-scale industry event dedicated to the sharing of Hadoop technology and applications, the 2013 Hadoop China Technology Summit (Chinese Hadoop Summit 2013) was held at four points by Sheraton Beijing Group Hotel. From domestic and foreign http://www.aliyun.com/zixun/aggregation/17611.html "> Industry near thousands of CIOs, CTO, architects, it ...

Several articles in the series cover the deployment of Hadoop, distributed storage and computing systems, and Hadoop clusters, the Zookeeper cluster, and HBase distributed deployments. When the number of Hadoop clusters reaches 1000+, the cluster's own information will increase dramatically. Apache developed an open source data collection and analysis system, Chhuwa, to process Hadoop cluster data. Chukwa has several very attractive features: it has a clear architecture and is easy to deploy; it has a wide range of data types to be collected and is scalable; and ...

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 ...

After more than eight years of practice, from Taobao's collection business to today to support all of Alipay's core business, and in the annual "Double Eleven Singles Day" continue to create a world record for the transaction database peak processing capacity.

Overview 2.1.1 Why a Workflow Dispatching System A complete data analysis system is usually composed of a large number of task units: shell scripts, java programs, mapreduce programs, hive scripts, etc. There is a time-dependent contextual dependency between task units In order to organize such a complex execution plan well, a workflow scheduling system is needed to schedule execution; for example, we might have a requirement that a business system produce 20G raw data a day and we process it every day, Processing steps are as follows: ...

With the explosion of information, micro-blogging website Twitter was born. It is no exaggeration to describe Twitter's growth with the word "born". Twitter has grown from 0 to 66,000 since May 2006, when the number of Twitter users rose to 1.5 in December 2007. Another year, December 2008, Twitter's number of users reached 5 million. [1] The success of Twitter is a prerequisite for the ability to provide services to tens of millions of users at the same time and to deliver services faster. [2,3,4 ...

The storage system is the core infrastructure of the IT environment in the data center, and it is the final carrier of data access. Storage in cloud computing, virtualization, large data and other related technologies have undergone a huge change, block storage, file storage, object storage support for a variety of data types of reading; Centralized storage is no longer the mainstream storage architecture of data center, storage access of massive data, need extensibility, 　　Highly scalable distributed storage architecture. In the new IT development process, data center construction has entered the era of cloud computing, enterprise IT storage environment can not be simple ...