Opasnet base structure
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This page is about the structure of Opasnet Base. For a general description, see Opasnet base.
Scope
Opasnet base is a storage and retrieval system for results of variable and data from studies. What is the structure of Opasnet base such that it enables the following functionalities?
- Storage of results of variables with uncertainties when necessary, and as multidimensional arrays when necessary.R↻
- Automatic retrieval of results when called from Opasnet wiki or other platforms or modelling systems.
- Description and handling of the dimensions that a variable may take.
- It is possible to protect some results and data from reading by unauthorised persons.
- If is possible to build user interfaces for easily entering observations into the Base.
Definition
Data
Software
Because Opasnet base will contain very large amounts of mostly numerical information, the state-of-the-art structure is a SQL database. Because of its flexibility, ease of use, and cost, MySQL is an optimal choice among SQL software. In addition to the database software, a variable transfer protocol is needed on top of that so that the results of variables can be retrieved and new results stored either automatically by a calculating software, or manually by the user. Fancy presenting software can be built on top of the database, but that is not the topic of this page.
Storage and retrieval of results of variables
The most important functionality is to store and retrieve the results of variables. Because variables may take very different forms (from a single value such as natural constant to an uncertain spatio-temporal concentration field over the whole Europe), the database must be very flexible. The basic solution is described in the variable page, and it is only briefly summarised here. The result is described as
P(R|x1,x2,...)
where P(R) is the probability distribution of the result and x1 and x2 are defining locations of a dimension where a particular P(R) applies. Typically locations are operationalised as discrete indices. A variable must have at least one dimension. Uncertainty about the true value of the variable is operationalised as a random sample from the probability distribution, in such a way that the samples are located along an index Sample, which is a list of integers 1,2,3...n, where n=number of samples.
Dependencies
Result
Opasnet base is a MySQL database located at http://base.opasnet.org.
Table structure
- We need Ressec (Result secure) and Resinfosec (Result info secure) tables for secure information. All other tables are openly readable except these two. They have the same structure as Res and Resinfo tables, respectively.
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See also
Some useful syntax
- http://www.baycongroup.com/sql_join.htm
- Opasnet base connection.ANA for Analytica: for writing and reading variable results into and from the database. Writing requires a password. For SQL used in the model, see the model page.
- Some historical queries
<sql-query display=1> SELECT Obj.id, Obj.Ident, Obj.Name, Obj.Typ_id, Sty_id, Itemm.Ident as Iident, Itemm.Name as Iname FROM Obj LEFT JOIN Sett ON Obj.id = Sett.Obj_id LEFT JOIN Item ON Sett.id = Item.Sett_id LEFT JOIN Obj AS Itemm ON Item.Obj_id = Itemm.id </sql-query>
NOTE! The queries below work in the new database "opasnet_base", not "resultdb" as the old versions.
{{#sql-query: SELECT Var.Ident, Var.Name, Var.Unit, Run.Ident, Begin, Who, Run.Name as Method FROM Obj as Var, Obj as Run, Cell, Objinfo WHERE Var.Ident = "Op_en1913" AND Var.id = Cell.Obj_id_v AND Run.id = Cell.Obj_id_r AND Run.id = Objinfo.id GROUP BY Var.id, Run.id |Runs}}
{{#sql-query: SELECT Var.Ident, Var.Name, Cell.id, N, Begin, Mean, Var.Unit FROM Obj as Var, Obj as Run, Cell, Objinfo WHERE Var.Ident = "Op_en1913" AND Var.id = Cell.Obj_id_v AND Run.id = Cell.Obj_id_r AND Run.id = Objinfo.id GROUP BY Cell.id ORDER BY Run.id DESC, Var.Ident |Means and samplesizes (N)}}
{{#sql-query: SELECT Var.Ident, Cell.id, Cell.Obj_id_r as Run, Obs, Result, Var.Unit FROM Obj as Var, Cell, Res WHERE Var.Ident = "Op_en1913" AND Var.id = Cell.Obj_id_v AND Cell.id = Res.Cell_id ORDER BY Cell.Obj_id_r, Var.Ident, Cell.id |Full sample}}
List all dimensions that have indices, and the indices concatenated:
<sql-query display="1"> SELECT Dim.Ident, Dim.Name, Dim.Unit, Group_concat(Ind.Ident ORDER BY Ind.Name SEPARATOR ', ') as Indices FROM Obj AS Dim, Obj as Ind, Sett, Item WHERE Dim.id = Sett.Obj_id AND Sett.Settype_id=1 AND Sett.id = Item.Sett_id AND Item.Obj_id = Ind.id GROUP BY Dim.Name ORDER BY Dim.id </sql-query>
List all indices, and their locations concatenated:
<sql-query display="1"> SELECT Ident, Name, Unit, GROUP_CONCAT(Location ORDER BY Roww SEPARATOR ', ') AS Locations FROM Obj AS Ind, Loc WHERE Ind.id = Loc.Obj_id_i GROUP BY Name ORDER BY Name </sql-query>
List all variables and their runs, and also list all indices (concatenated) used for each variable for each run.
<sql-query display="1"> SELECT Var_id, Run_id, Ident, Name, GROUP_CONCAT(Indic SEPARATOR ', ') AS Indices, N, Method FROM
(SELECT Var.id as Var_id, Run.id as Run_id, Var.Ident AS Ident, Var.Name as Name, Ind.Ident AS Indic, N, Run.Name AS Method FROM Obj AS Var, Obj AS Run, Obj AS Ind, Loccell, Loc, Cell WHERE Var.id = Cell.Obj_id_v AND Run.id = Cell.Obj_id_r AND Cell.id = Loccell.Cell_id AND Loc.id = Loccell.Loc_id AND Ind.id = Loc.Obj_id_i GROUP BY Var_id, Run_id, Ind.Ident ) AS Temp1
GROUP BY Var_id, Run_id </sql-query>