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A database shard can be placed on separate hardware, and multiple shards can be placed on multiple machines. This enables a distribution of the database over a large number of machines, greatly improving performance. In addition, if the database shard is based on some real-world segmentation of the data (e.g., European customers v.
MySQL Cluster, also known as MySQL Ndb Cluster is a technology providing shared-nothing clustering and auto-sharding for the MySQL database management system.It is designed to provide high availability and high throughput with low latency, while allowing for near linear scalability. [3]
A partition is a division of a logical database or its constituent elements into distinct independent parts. Database partitioning refers to intentionally breaking a large database into smaller ones for scalability purposes, distinct from network partitions which are a type of network fault between nodes. [1]
"if the database shard is based on some real-world segmentation of the data (e.g., European customers v. American customers)" -- From a relational data base view this example is more likely to be a vertical one rather than a horizontal one (unless the data is far from normalized).
Database tables and indexes may be stored on disk in one of a number of forms, including ordered/unordered flat files, ISAM, heap files, hash buckets, or B+ trees. Each form has its own particular advantages and disadvantages. The most commonly used forms are B-trees and ISAM.
For example, Base One describes a database-centric distributed computing architecture for grid and cluster computing, and explains how this design provides enhanced security, fault-tolerance, and scalability. [4] an overall enterprise architecture that favors shared data models [5] over allowing each application to have its own, idiosyncratic ...
Once again high growth rates across really all of our key financial and operating metrics and surpassing our guidance in every single data point where we provided guidance in our Q3 earnings call.
Memcached (pronounced variously /mɛmkæʃˈdiː/ mem-cash-dee or /ˈmɛmkæʃt/ mem-cashed) is a general-purpose distributed memory-caching system. It is often used to speed up dynamic database-driven websites by caching data and objects in RAM to reduce the number of times an external data source (such as a database or API) must be read.