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Data Insertion and Data Persistence in a Vector Database.
In the previous post in the Deep Dive series, we have introduced how data is processed in Milvus, the world’s most advanced vector database. This article will examine the components of data insertion, illustrate the data model in detail, and explain how data persistence is achieved in Milvus.
One of the most crucial features of apps today is data persistence. If you don’t quite understand why, a fundamental definition of the concept will help. Data persistence refers to the mechanism of storage of data, irrelevant of its type, to a disk. The point is to make sure that this data can then be retrieved later whenever users open the app and allow them to continue from precisely where they left off.
This guide, however, will focus on techniques and methods exclusively in the context of storing data locally in an iOS app. And before we get started with that, it is essential to understand that local storage in iOS apps is not the default setting. Instead, what happens is that all the constants and variables assigned in Swift are stored in memory by default.
Over the past few weeks I've worked on an example application that demonstrates how Java EE developers can get started with microservices. The application is a full end-to-end sample which includes a web application, business logic, authentication, and now also persistence. It runs on Kubernetes and Istio and there are scripts to easily deploy it.
Get the cloud-native-starter code from GitHub.