Outline: SQL DDL - creating schemas - modifying schemas DML - select-from-where clause
CenitHub Presentations | 2- Libraries, Schemas & Data Types
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CenitHub Chapter 2 Libraries, Schemas & Data Types
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Transcript of CenitHub Presentations | 2- Libraries, Schemas & Data Types
CenitHubChapter 2
Libraries, Schemas & Data Types
Libraries, Schemas & Data Types
Libraries are collections of schemas and data types.
Schemas define data types.
File data types can be validated against a schema.
Library
Schema
Data Type
File Data Type
Schemas
Define a data type is as simple as a JSON Schema.
http://json-schema.org
Basic JSON Schema
Title defines a title for the data type, use is optional.
Type object is mandatory for enhanced data types interaction.
Properties is mandatory for enhanced data types interaction.
Required properties definition is optional.
Basic JSON Schema
Title defines a title for the data type, use is optional.
Type object is mandatory for enhanced data types interaction.
Properties is mandatory for enhanced data types interaction.
Required properties definition is optional.
Basic JSON Schema
Title defines a title for the data type, use is optional.
Type object is mandatory for enhanced data types interaction.
Properties is mandatory for enhanced data types interaction.
Required properties definition is optional.
Basic JSON Schema
Title defines a title for the data type, use is optional.
Type object is mandatory for enhanced data types interaction.
Properties is mandatory for enhanced data types interaction.
Required properties definition is optional.
The new schema action
Every schema have an URI and must be included in a library.
Loading Data types
When loading a data type Cenit creates a class model on the fly that can be used as any other model in the administration view.
Loading Data types
List of Data types
List of Costumers
Enhancing Schemas
Enhancing Schemas
Reusing Schemas
costumer.json address.json
XML Schemas
Defining data types from XML Schemas is supported.
This example defines a data type element:Costumer with an embedded definition of Address.
XML Schemas
Cenit defines a data type for every top level type or element, so a single XML Schema may define multiple data types.
This example defines two data types, type:Address and element:Costumer
Reusing XML Schemasaddress.xsd
costumer.xsd
Cenit automatically links data types when referencing XML Schemas.
Versioning SchemasURIs and data type names must be unique in the same library but data types versions with the same URI or name can be defined in different libraries.
Data Type StorageData type records derived from schemas are stored as JSONs structured documents.
Limitations:- Mapping XML documents to JSON is not always feasible.- What about data structured in other formats?- What about data non structured at all?
File Data Types
File data types allow to store files as records.
Files content can be validated against a validator.
If no validator is selected then the file content can have any structure.
File Data Types & Validators
By default every schema is also a validator.
Every file records can be fully validated against a XML Schema or a JSON Schema.
File Data Types & Validators
Cenit prevents to store invalid data so every file content is validated when uploading and before storing.
Custom Validators: EDI
Cenit allows to customize file validators.
EDI Validators use schemas as grammars for EDI formats based on model storage by segments containing record fields:
Costumer*Jhon*Stark*[email protected]_addres*1*Street*Cityshipping_addres*2*Street*City
Custom Validators: EDI
Several formats can be described by using JSON Schemas as grammars:
₋ ASCX12₋ EDIFACT₋ TRADACOM₋ CATAIR₋ …
Grammar of X12 IEA Segment
CenitHubChapter 2
Libraries, Schemas & Data Types
