Database Management Services: Improve MySQL Scalability with New Sharding

There has been a lot happening over MySQL lately. It appears as the scalability of the most scalable database management system-MySQL-is put to question. This is so obvious that when we talk about technology, the evolution continues. Nothing stays forever; however, the tits and bits of a strong technology always stay. There is a possibility of enhancement in every technology. The enhancements keep mounting; however, the base stays. Similar things are about to happen with MySQL database management services.

Already, there are many clustering systems or techniques available for MySQL. The purpose of clustering is to provide high availability of the database management system. Cluster environment allows data replication across all nodes of the cluster, and the changes needed propagation through the nodes. However, this slows down the response time; the bigger the cluster, it builds more latency on to the database response.

Till now, users used the method of Sharding to get rid of this problem. What is Sharding? Database Sharding is a technique to break a database into multiple-tier to let it handle requests individually. Sharding is a method of horizontal partitioning in a database. The rise to the Sharding technique is due to the enormous growth in transaction volume and size of business application databases.

Soon, Sharding was being looked upon as a means to achieve new levels of database performance and scalability. In simple terms, Sharding is better explained with the concept of a broken glass. Each piece is assumed as a separate database. Sharding improves the throughput and overall performance of high transactions.

Further supporting the Sharding method, recent news reveals that a startup made a system that can scale up MySQL databases management system so that they can cope with traffic irrespective of how steep the incline is. The idea to scale up MySQL database management services emerged upon realizing that MySQL is frequently used in many websites and is frequently subject to wide swings in user demand.

Azure is a perfect solution for the organizations seeking comfort, relying on professionals for database administration services. In Azure, database administration experts work behind the scenes for the organizations that seek a quick start in serving its customers without spending a huge amount on traditional server and software.

Sharding, in most cases, requires a change in the applications so that the application is aware of the technique applied to some segment and not the whole database. To relieve the programmer from constantly changing the application code, ScaleBase initiates query intelligence into the front-end system that recognizes from the query as to which database part it needs to access.

The idea behind the methodology is to perform query processing in a distributed fashion, close to the data. MySQL could use ScaleBase 1.0. Inclusive of other methods, ScaleBase creates primary shard to accept write or data updates from MySQL database management system; on the other hand, the slave or the secondary shard satisfies the read request. In this way, splitting the shards into read and write is an easy way to scale reads and improve the performance.

While the company has scaled the database management services creating 100 shards, they are confident that, with this method, a database can be scaled up to unlimited. This step towards database management services should make it easy for organizations to adopt MySQL on a large scale. Also, according to the ScaleBase, scaling Oracle is their next target.

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