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What is sql2asciidoc?

SQL ⇒ Asciidoc

sql2asciidoc is a node package for lazy people who need to write documentation and want to do it quick but right.

It connects to your database, discovers the schemas and tables then generates an asciidoc document listing all the schemas, tables, their columns and type, size, etc…

The output using the Asciidoctor Live Preview Chrome Extension for one table looks like:

Of course you can include this asciidoc text into your documents and render that as HTML, PDF, ePub, etc…

Note

You do not have to run this on a Windows machine as long as you can connect to your DB remotely.

Installation

This is a regular npm package.

npm install sql2asciidoc

Usage

chevdor-imac:sql2asciidoc will$ node index.js --help
USAGE: node index.js [OPTION1] [OPTION2]... arg1 arg2...
  -s, --server <ARG1>           Server\Instance ("localhost" by default)
  -l, --login <ARG1>            Login ("sa" by default)
  -p, --pass <ARG1>             Password ("sa" by default)
  -d, --database <ARG1>         Database name (mandatory)
  -c, --schema <ARG1>           Comma separated list of schemas. All if null.

Examples

No filtering, all schemas, all tables.

node index.js -d <DB Name>

One schema only.

node index.js -s "myserver\MyInstance" -d MYDB -c dbo

Sample asciidoc output.

== dbo

=== SomeConfig
[width="80%",frame="topbot",options="header,footer"]
|====
| Column name | Nullable | Type | Size
| id| NO| uniqueidentifier| null
| paramKey| YES| varchar| 50
| paramValue| YES| varchar| 255
| valueType| YES| varchar| 50
| defaultValue| YES| varchar| 255
| description| YES| text| 2147483647
|====

== MySchema

=== SomeFolks
[width="80%",frame="topbot",options="header,footer"]
|====
| Column name | Nullable | Type | Size
| EmployeeCode| NO| varchar| 10
| EmployeeName| YES| nvarchar| 100
| EmployeeEmail| YES| varchar| 100
| EmployeeLocation| YES| varchar| 40
|====

=== BrandName
[width="80%",frame="topbot",options="header,footer"]
|====
| Column name | Nullable | Type | Size
| ID| NO| uniqueidentifier| null
| BrandNameID| YES| varchar| 50
| BrandNameName| YES| nvarchar| 100
|====

Limitations & knownn issues

See the issue tracker.

License

MIT