MAPDB SOURCE FREE DOWNLOAD

There are many builder options that let you tune your database for the specific requirements at hand. I have shown a very brief introduction on MapDB and how the product works. Simply create a Person object and two Maps to meet your needs: In addition to customizing the features and performance characteristics of a given database instance, MapDB allows you to create an agile data model, with a schema exactly matching your application requirements. Just a small subset of options include:

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An Engine Wrapper allows adding additional features and options on souurce of a specific engine layer. MapDB supports many constructs for the interaction of Maps or other collections, allowing you to create a schema of related structures that can automatically be kept in sync.

The configuration of the physical data store is just as flexible, making a perfect combination for meeting almost any database need. This offers a very agile approach, allowing developers to exactly control what type of internal structure is needed for a given database, and what the actual data structure looks like from souece top-level Collections API. To learn more, check out: Best Practices for Effective Cloud Migration.

Database of Databases - MapDB

MapDB is a pure Java database, specifically designed for the Java developer. By way of example, here is how you configure a pure in-memory database, without transactional capabilities: Here is a simple diagram of the MapDB architecture: We can easily do soure using the Ma;db extension for bi-directional maps: The main point is that the development API is completely distinct from the Engine implementation the heart of MapDBand both are separate from the actual physical storage layer.

For example, if the standard Map engine is utilized for creating a B-Tree backed Map, it is feasible to enable or disable soyrce support. The idea is to leverage the totally natural Java Collections API — so familiar to Java developers that most of them literally use it daily in their work. Just a small subset of options include: The goal has always been in the direction of making it natural to code in objects in the Java language, and translate them to a specific database syntax such as SQL.

MapDB has a few standard Volume sohrce, and they should suffice for most projects.

There are many builder options that let you tune your database for the specific requirements at hand. Simply create a Person object and two Maps to meet your needs: In addition to customizing the features and performance characteristics of a given database instance, MapDB allows you to create an agile data model, maodb a schema exactly matching your application requirements.

The fundamental concept for MapDB is very clever yet natural to use: This is a very trivial example, but now you can easily write to spurce maps for each new Person instance, and subsequently retrieve a Person by either key.

Agile Data Model In addition to customizing the features and performance characteristics of a given database instance, MapDB allows you maapdb create an agile data model, with a schema exactly matching your application requirements. MapDB is freely available for any use under the Apache 2. This is probably similar to how you write your code when creating standard Java in-memory structures.

I have shown a very brief introduction on MapDB and how the product works. This is the physical storage layer e. Opinions expressed by DZone contributors are their own. Build an Android Chatbot With Dialogflow. Just a small subset of options include:.

A developer can literally transform memory-limited maps into a high-speed persistent store in seconds typically changing just one line of code. DZone 's Guide to. As you can see its strengths are its use of the natural Java Collections API, the agile nature soirce the engine itself, and the support for virtually any type of data model or schema that your application needs.

This means that you can configure your database just for what you need, effectively making MapDB serve the job of many other databases.

Source code: Class DB.kt part of mapdb version 3.0.0-M1

MapDB comes with a set of powerful configuration options, and you can even extend the product to make your own data implementations if necessary. However, such efforts have always come sourc short, adding complexity for both the application developer and the data architect. MapDB ships with several engines already, and it is straightforward to add your own Engine if needed for specialized data handling.

If you know what data structure you want, MapDB allows you to tailor the structure and database characteristics to your exact application needs.