dbschema-parser
v1.2.3
Published
Parses DBSchema document into JavaScript. Exports to JSON.
Downloads
33
Maintainers
Readme
dbschema-parser
Parses .dbs
files from the DbSchema Diagram Designer and Query Tool from Wise Coders Solutions.
Installation
npm install dbschema-parser
Usage
Initializing the Parser
var dbSchema = require('dbschema-parser');
var parser = new dbSchema.Parser(filePath);
Rendered Objects
Parser
Single instance. Top-most object.
Properties
databases
:array[Database]
: Array of Database objects.path
:string
: Path to supplied.dbs
file.xml
:string
: Contents of.dbs
file in raw XML format.object
:object
: Parsed.dbs
file in JSON object format.json
:string
: Parsed.dbs
file in pretty-printed JSON format (non-object).
Database
Extrapolation of the DbSchema Project
object. Assumes all schemas are contained within a single database.
Properties
parser
:Parser
: Reference to parent Parser object.project
:object
: Reference to raw DbSchema object in JSON object format.name
:string
: Name of database.id
:string
: ID of Project, as supplied by DbSchema.template
:string
: Template of Project, as supplied by DbSchema.type
:string
: Database type (ie, MySql, MariaDb, MongoDb, etc.).schemas
:array[Schema]
: Array of Schema objects contained within Database
Schema
Properties
database
:Database
: Reference to parent Database object.schema
:object
: Reference to raw DbSchema object in JSON object format.name
:string
: Name of schema.tables
:array[Table]
: Array of Table objects contained within Database.views
:array[Table]
: Array of Table objects contained within Database.
Table
Note: Due to the near-identical structure of both, the Table object is used for both tables and views.
Properties
schema
:Schema
: Reference to parent Schema object.table
:object
: Reference to raw DbSchema object in JSON object format.name
:string
: Name of table or view.keyColumns
:array[Column]
: Array of Column objects within this primary key Table Index.isView
:boolean
: Indicates whether the table is actually a view.columns
:array[Column]
: Array of Column objects contained within the Table.indices
:array[TableIndex]
: Array of Table Index objects contained within the Table.
Column
Properties
table
:Table
: Reference to parent Table object.column
:object
: Reference to raw DbSchema object in JSON object format.name
:string
: Name of column.type
:string
: Type of column.length
:number
: If supplied, the length of the column.jt
:number
: (See DbSchema documentation.)isPrimary
:boolean
: Column a member of the primary key index.mandatory
:boolean
: Column is required orNOT NULL
relationships
:array[Column]
: (not required) Any columns referencing this column in a foreign key.parent
:object
: (not required) The target PK column if a foreign key exists:
parent: {
schema: {
name: '',
item:
},
table: {
name: '',
item:
},
column: {
name: '',
item:
}
}
Table Index
Properties
table
:Table
: Reference to parent Table object.index
:object
: Reference to raw DbSchema object in JSON object format.name
:string
: Name of index (usually generated by database or DbSchema).columns
:array[Column]
: Array of Column objects within this index.type
:string
: Type name, as supplied by DbSchema (ie,NORMAL
,PRIMARY_KEY
,UNIQUE
, etc.).isUnique
:boolean
: Indicates if the column combination must be unique (also true for the primary key).isPrimary
:boolean
: Table Index is the primary key.
Operations
Generally speaking, the Parser is meant to be used for navigating, or "walking", the DbSchema-generated hierarchy. However, for convenience, one operation is available:
print(spacing)
Prints the hierarchy in a human-readable YML-like indented structure:
Database: resources
Schema: geography
Table: city
Column: id
Relationships:
resources.geography.postal_code.city_id
Column: state_id
Primary:
Schema: geography
Table: state
Column: id
Column: name
Index: idx_city (UNIQUE)
Column: state_id
Primary:
Schema: geography
Table: state
Column: id
Column: name
Index: idx_city_0 (NORMAL)
Column: state_id
Primary:
Schema: geography
Table: state
Column: id
Index: pk_city (PRIMARY_KEY)
Column: id
Table: country
Column: id
Relationships:
resources.geography.postal_code.country_id
resources.geography.state.country_id
Column: name
Index: idx_country (UNIQUE)
Column: name
Index: pk_country (UNIQUE)
Column: id
Table: postal_code
Column: id
Column: country_id
Primary:
Schema: geography
Table: country
Column: id
Column: state_id
Primary:
Schema: geography
Table: state
Column: id
Column: city_id
Primary:
Schema: geography
Table: city
Column: id
Column: value
Index: pk_postal_code (PRIMARY_KEY)
Column: id
Index: idx_postal_code (UNIQUE)
Column: country_id
Primary:
Schema: geography
Table: country
Column: id
Column: state_id
Primary:
Schema: geography
Table: state
Column: id
Column: city_id
Primary:
Schema: geography
Table: city
Column: id
Column: value
Index: idx_postal_code_0 (NORMAL)
Column: country_id
Primary:
Schema: geography
Table: country
Column: id
Index: idx_postal_code_1 (NORMAL)
Column: state_id
Primary:
Schema: geography
Table: state
Column: id
Index: idx_postal_code_2 (NORMAL)
Column: city_id
Primary:
Schema: geography
Table: city
Column: id
Table: state
Column: id
Relationships:
resources.geography.city.state_id
resources.geography.postal_code.state_id
Column: country_id
Primary:
Schema: geography
Table: country
Column: id
Column: name
Index: idx_state (UNIQUE)
Column: country_id
Primary:
Schema: geography
Table: country
Column: id
Column: name
Index: idx_state_0 (NORMAL)
Column: country_id
Primary:
Schema: geography
Table: country
Column: id
Index: pk_state_0 (PRIMARY_KEY)
Column: id
About MEAN Factory
MEAN Factory is an initiative to help teach software development focusing on the MEAN Stack (Mongo, ExpressJS, AngularJS, NodeJS). For more information, visit our web site or email us: