That's not good for a better user experience, but It's acceptable. Your application requirements should decide what to do, whether to provide highly available system or to focus on consistency in your data, In a shopping cart application, you may get duplicate items, sometime items you added to the cart may not be there, What happens to data consistency & availability when you distribute your data within multiple regions, You cant't achieve high level of data availability & consistency in same time
![globaltis db structure globaltis db structure](https://ars.els-cdn.com/content/image/1-s2.0-S0022519311005315-gr1.jpg)
You can order your data read regions as you want. You can see write region & read regionĬonfiguration, I selected East Asia as a write region and Central US & West US as read regions, primary read region is Central US in this scenario. click on a region and you can replicate your data into different regions, i have replicated data to Central US & West US regions. Go to region configuration in Cosmos DB, you can see 'Replicate data globally' screen.
#Globaltis db structure how to#
Let's see how we can host our database service in multiple regions and how to configure In above picture I have hosted cosmos db in East Asia region, since i haven't hosted this cosmos db in multiple regions, read & write location will be East Asia region. you can order fail over regions, If East Asia goes down, read from Central US, If East Asia & Central US both goes down, You can configure multiple read/write regions, one region can act as a write region and all the other regions can act as read regions.
![globaltis db structure globaltis db structure](http://www.car-auto-repair.com/wp-content/uploads/2018/03/Install-Original-Benz-EPCWISASRA-net-38.jpg)
You can host copy of your data along with the partitions into another region and make data synchronize with each other If we takeĮast Asia region, products has been locally distributed according to the product category id, (product category A, B & C) products has distributed globally for different regions like East Asia, Central US and West US Let's say we have products and product categories, you can define product category as the partition key and split products into different sections, partitions as above picture. We can scale out and improve latency in both database servicesĪzure SQL databases and Azure Cosmos DB both has different level of service agreements.Ĥ Data Partitioning & Global Distributionĭata in Azure Cosmos DB can be partitioned into different sections. SQL databases supports for relational database systems.īoth database services can be replicated to many data centres and achieve high data availability. Let's see what is the difference between Azure SQL database and Azure Cosmos DB, Both databases are database servicesĪzure Cosmos DB supports for document store, Graph DBMS, key value store and column store. If you want to distribute your data into multiple regions, closer to your users, when you want to scale out your application, when application grows and at the same time you need to achieve low latency, high data availability & consistency, you can go for It is a global distributed database service, with a single button click you can replicate your data into different regions, You can scale out your database runs in Azure Cosmos DB service, when the no of users increases and same time you can achieve lowĪzure Cosmos DB service offers no of service level agreements, which vary with amount of availability of your data and consistency of your data, you can select according to your business requirements It supports for key-value storage, document db and graph db
![globaltis db structure globaltis db structure](https://ae01.alicdn.com/kf/H2c7b217012154f94b32eba1987cda503l.jpg)
If its not performing up to the expected level, you can remodel your database until itĪzure Cosmos DB is a database service that offers variety of data models and data APIs It describes how you can design your cosmos db with different collections and relationships, You can run queries top of that design and analyse throughput of the query. This article provide an introduction to Azure Cosmos DB and its extensive features including data partitioning, global distribution, elastic scaling, latency, throughput and different service level agreements.