#+HTML_HEAD: </style>
* Vision / goal
-Provide versioned, clustered, flexible, object-relational database
-functionality for the [[http://www2.svjatoslav.eu/gitbrowse/sixth/doc/index.html][Sixth computation engine]].
-
-+ I hate object-relational impedance mismatch.
-
-+ I don't like to convert data between persistent database and runtime
- objects for every transaction. How about creating united
- database/computation engine instead to:
- + Eliminate constant moving and converting of data between 2 systems.
- + Abstract away difference between RAM VS persistent storage. Let
- the system decide at runtime which data to keep in what kind of
- memory.
+ :PROPERTIES:
+ :ID: f6764282-a6f6-44e6-8716-b428074dd093
+ :END:
+Provide versioned, clustered, flexible, distributed, multi-dimensional
+data storage engine for the [[http://www2.svjatoslav.eu/gitbrowse/sixth/doc/index.html][Sixth computation engine]].
+
++ Speaking of traditional relational database and object oriented
+ business applications:
+ + I hate object-relational impedance mismatch.
+
+ + I don't like to convert data between persistent database and
+ runtime objects for every transaction. How about creating united
+ database/computation engine instead to:
+ + Eliminate constant moving and converting of data between 2 systems.
+ + Abstract away difference between RAM VS persistent storage. Let
+ the system decide at runtime which data to keep in what kind of
+ memory.
** Inspiration
+ Relational databases:
+ (Git as a database:
https://www.kenneth-truyers.net/2016/10/13/git-nosql-database/ )
-** Solution (the big idea)
-I see 4D data structure.
-
-[[file:data model.png]]
-
-Dimensions:
-+ List of all the objecs in the system (rows).
-+ List of all declared unique object fields (columns).
-+ List of all historical transactions/commits/versions (think of
- sheets of paper).
-+ List of all concurrently running branches/threads. Branches can
- appear and merge over time as needed.
-+ (Every cell is concrete field value within an object)
-
-Partitioning/clustering:
-+ Why not to partition/(load balance) as required across networked
- physical computers along arbitrary dimension(s) declared above ?
-
-Indexing (for fast searching):
-+ Why not to index along arbitrary dimensions (as required) ?
-
-Further optimizations:
-+ In current early stage, trying to focus on minimum possible set of
- features that would provide maximum possible set of power/benefit :)
-+ Once featres are locked. Anything can be optimised. Optimization for
- size (deduplication) can be solved using Git style content
- addressible storage mechanism.
++ Brain (appears to have more than 3D dimensional design. Food for
+ thought...)
+ + https://singularityhub.com/2017/06/21/is-there-a-multidimensional-mathematical-world-hidden-in-the-brains-computation/
+ + From there comes following idea: Maybe every problem can be
+ translated to geometry (use any shapes and as many dimensions as
+ you need). Solution(s) to such problems would then appear as
+ relatively simple search/comparison/lookup results. As a bonus,
+ such geometrical *data storage* AND *computation* can be
+ naturally made in *parallel* and *distributed*. That's what
+ neurons in the brain appear to be doing ! :) . Learning means
+ building/updating the model (the hard part). Question answering
+ is making (relatively simple) lookups (geometrical queries)
+ against the model.
+
* Current status
-- Implemented very simple persistent key-value map.
+- More or less defined [[id:f6764282-a6f6-44e6-8716-b428074dd093][Vision / goal]].
-Long term goal is to implement more advanced features on top of this.
+- Implemented very simple persistent key-value map.
+ - Long term goal is to use it as a backing storage engine and
+ implement more advanced features on top of this.
* TODO
-** check out Magma
++ check out Magma
+ http://wiki.squeak.org/squeak/2665