propel cloud master

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The story of cloud storage: Multi-copy vs. Master/Slave

at the cost of reliability and availability. When using the master-slave solution, we usually try to improve the reliability of the device, such as using raid to reduce the probability of errors. Sometimes, we have high requirements for reliability, availability, and consistency, and the master-slave mode cannot meet the requirements. Therefore, you can only change the business logic and simplify it into a

MySQL builds master-slave on the cloud host

1: Two cloud hosts have been purchased in advance10.4.14.168 101.69.178.208 [Unicom] Master10.4.5.9 101.69.178.219 [Unicom] Slave2: Install MySQL separately#Yum Install Mysql-server–enablerepo=remi#Yum Install Mysql-devel3: View MySQL installation status[[email protected] ~] # Rpm-qa | grep mysql*MySQL-5.1.73-3.el6_5.x86_64MySQL-libs-5.1.73-3.el6_5.x86_64MySQL-server-5.1.73-3.el6_5.x86_64MySQL-devel-5.1.73-3.el6_5.x86_644: Start MySQLService mysqld St

How to become a master of cloud computing Big Data spark

Spark is a cluster computing platform originating from the University of California, Berkeley, amplab. It is based on memory computing and has hundreds of times better performance than hadoop. It starts from multi-iteration batch processing, it is a rare and versatile player that combines multiple computing paradigms, such as data warehouses, stream processing, and graph computing. Spark uses a unified technology stack to solve all core issues of cloud

Wang Jialin's path to a practical master of cloud computing distributed Big Data hadoop-from scratch Lecture 2: The world's most detailed graphic tutorial on building a hadoop standalone and pseudo-distributed development environment from scratch

tutorial on building a hadoop standalone and a pseudo-distributed development environment from scratch (up to 88 pages of PDF, do not let go of any details), all the free textbooks are:Cloud computing distributed Big Data hadoop hands-on path (three books in total ): 1. Wang Jialin's "Master road to cloud computing distributed Big Data hadoop practice-from scratch" guides you through easy-to-use hadoop an

MySQL database to build master-slave configuration on cloud host

1: Two cloud hosts have been purchased in advance 10.4.14.168 101.69.178.208 [Unicom] Master 10.4.5.9 101.69.178.219 [Unicom] Slave 2: MySQL installed separately The code is as follows Copy Code #yum Install Mysql-server–enablerepo=remi#yum Install Mysql-devel 3: View MySQL Installation The code is as follows Copy Code [Root@10-4-14-16

SME OpenStack Private Cloud Deployment "9.3 Master Controller One-way synchronization glance-image directory"

backupMkdir/usr/scripttouch/usr/script/rsyncd.shchmod +x/usr/script/rsyncd.shvi/usr/script/rsyncd.shrsyncprocess= ' ps aux|grep '/usr/bin/rsync ' |grep-v grep 'if [${#rsyncProcess}-ne 0] Thenecho $ (date +%y-%m-%d_%h:%m:%s) >>/var/log/rsync.logecho "' Date ' Process is already running! Do nothing!! " >>/var/log/rsync.logElse/usr/bin/rsync-rtopglh--progress--delete--bwlimit 90000 [email Protected]::glance/home/local/glance/ima ges/--password-file=/etc/rsyncd.secrets 1>>/var/log/rsync.log 2>1echo

MARIADB Master-Slave replication configuration method in Azure cloud server

' @ ' 42.159.228.231 ' identified by ' Mariadbbak. ' To this end, the main mariadb configuration is completed, restart the MySQL server. For more details, see the status of master database server. From the MARIADB server configuration: Note that Server-id must be not 1, must be greater than 1 of the other number, here is set 12.read-only = on means: Open the relay log, relay_log refers to the log path; The above

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