Dataset Files
Sometimes your plugin/applet will need to include specialized data in order to operate. Some examples of data which a plugin might rely on are:
New Concepts and ReferenceTerms for standardized vocabulary
New Materials and ManufacturedMaterials which are used/distributed by the application
New Places or Organizations which support a particular plugin.
Dataset Files
All data in SanteDB's datastore can be distributed in the form of a data set. A data set file is a special file which contains a series of RIM objects (serialized in HDSI XML format) and instructions on how the RIM object should be treated.
Dataset files should be placed in the data/ folder of your applet (if you're distributing via applet) or should be copied into the data/ folder of the SanteDB server on installation (if you're distributing via .NET installer).
The structure of a dataset file is as follows:
The two options for dataset manipulation are:
insert - Used to perform an insert on the database. Installation of the data is considered "FAILED" if the object already exists or is detected to be a duplicate. The @updateIfExists key is only used if an insertion was attempted and a duplicate primary key was detected. It does not check classifiers.
update - Used to perform a lookup by classifier / key and update the object. If an object does not exist, or a classifier key does not exist and @insertIfNotExists is true, then an insert is done. Typically this operation is safer than insert, but is slower.
The following objects are supported on the dataset:
Concept
ConceptClass
ConceptSet
ReferenceTerm
CodeSystem
Place
Organization
Material
ManufacturedMaterial
ExtensionType
IdentifierType
AssigningAuthority
Generating a Dataset File
You can generate a dataset from existing data in the SanteDB server by using the SanteDB Administration Console (sdbac) application. To do this you will use the cdr.query
command, which is illustrated below to produce a dataset of all concepts in the FamilyMember concept set:
You can now easily modify the existing concepts from within the dataset.
You can use the user interfaces setup your data and then run the above CDR query to generate a related dataset. This makes your data portable to other SanteDB instances.
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