Manage and distribute your plant design files and components across global projects without the need for database replication.
无需数据库复制即可跨全球项目管理和分发工厂设计文件和组件。
A project on the periodicity of updates to the consolidated database and on database replication will be launched.
Online database replication services
Use public folder database replication schedule
使用公用文件夹数据库复制日程安排:
Messages generated by our logging system are treated exactly the same as messages generated from database replication or from a service event.
我们对日志系统生成的消息的处理方式是与对数据库复制或服务事件的处理方式完全一样的。
With our real-time database replication solution, you can ensureaccess to always in-sync data, on-premises and in the cloud.
我们的实时数据库复制方案可以帮你保证您的数据库是最近的, 并且是同步的。
Now, all the nodes are online, it's time to test database replication across the Galera Cluster. Let's start by creating a database on Node1 and check whether it is replicated on all the nodes.
现在, 所有节点都在线, 它的时间跨越加莱拉集群测试的数据库复制. 让我们通过创建节点1数据库启动,并检查它是否在所有节点上复制.
Other setup decisions may require to open more ports (for example, for DRBD or database replication).
可能需要做出其他有关打开更多端口的设置决策(例如,为 DRBD 或数据库复制打开端口 ) 。
In this tutorial, we will explain how to setup MariaDB Galera Cluster 10.1 with 3 nodes running on Ubuntu 16.04 server. We will also test database replication between all the nodes.
在本教程中, 我们将解释如何安装MariaDB的加莱拉集群 10.1 与 3 在Ubuntu上运行的节点 16.04 服务器. 我们还将测试所有节点之间的数据库复制.
Verify Version ID Consistency... Performs a consistency check on the database replication version numbers.
验证版本 ID 的一致性... 对数据库复制版本号作一致性检查。
State of the art redundant facilities, including air conditioning, fire suppression, diesel power generator and communication network Disaster Recovery Services require the use of Database Replication Services.
现代化的设备包括空调、灭火器、柴油发电机和通信网络灾难恢复服务需要使用数据库复制服务。
Before we talk about bootstrapping, let us see what the actual database replication topology looks like.
在讨论具体的初始化过程之前,先看看数据复制拓朴架构。
As to the system performance, the author studied the multi-threaded programming and database replication, which are the two key factors to the I/O based system.
在系统性能方面,作者对多线程技术以及数据库的同步复制技术这两个能够提高I/O密集型系统性能的技术作了深入的研究。