Engage the next level database speed, designing your custom index
Every data set needs an index to unlock fast access time to an specific entry.
NodeMaps gives you the tools you need to design the fastest index scheme for your data.
When you know how your queries should exactly travel through your data. It is time to switch to the fastest query mechanism, NodeMaps.
NodeMaps is a framework to interact with an node-indexed data file.
NodeMaps will treat every data field as a node.
Being a node, you can directly link to other nodes gaining direct reference
from the actual data, without traveling several automatically created external indexes.
This way, you not only design your database structure, at the same time you design its index connectivity for optimal seek route.
NodeMaps cannot be used as your primary database, as it is just a file format. Means that it lacks server functionality.
It must be used alongside your primary database to enable light speed to certain queries.
Ideally, this database is intended for huge time based data sets. Like stock market data.
If your data size is small, it is better to go for a memory based db like redis.
What was the temperature in ten different cities yesterday at 6 o'clock?
In a common database you will have to get the last entry for every city at six o'clock.
But with NodeMaps you can design a tree index that goes all the way down from years to minutes, and entries are separated in tracks for each city, being them placed between the hours. So getting the last temperature in a given time becomes a blazing FAST task.
Simply clone and link this class library to your project.