Managing Schema Evolution in NoSQL Data Stores

TL;DR

This paper presents a declarative schema evolution language and a holistic programming approach for managing schema changes in NoSQL data stores without modifying the underlying systems.

Contribution

It introduces a simple, declarative language for schema evolution and a holistic programming language to define its semantics, addressing schema management in NoSQL systems.

Findings

Enables systematic schema evolution management

Does not require modifications to NoSQL data stores

Provides a holistic programming language for semantics

Abstract

NoSQL data stores are commonly schema-less, providing no means for globally defining or managing the schema. While this offers great flexibility in early stages of application development, developers soon can experience the heavy burden of dealing with increasingly heterogeneous data. This paper targets schema evolution for NoSQL data stores, the complex task of adapting and changing the implicit structure of the data stored. We discuss the recommendations of the developer community on handling schema changes, and introduce a simple, declarative schema evolution language. With our language, software developers and architects can systematically manage the evolution of their production data and perform typical schema maintenance tasks. We further provide a holistic NoSQL database programming language to define the semantics of our schema evolution language. Our solution does not require any modifications to the NoSQL data store, treating the data store as a black box. Thus, we want to address application developers that use NoSQL systems