StyleBook configuration

Manage data sources

January 8, 2024

Contributed by:

Defining a data source in NetScaler Console helps you to use data from external sources as an input while creating or updating StyleBook configurations. Otherwise, you have to explicitly supply each input required by the StyleBook. In NetScaler Console, you can use any managed NetScaler instance as a data source for the input to a StyleBook configuration. You can also define custom data sources which can serve as input when creating or updating configurations.

Collections: Like how a database can have multiple tables, a data source can contain multiple collections. Each collection has a name and contains a list of similar tuples, where each tuple is a set of key-value pairs. For example, a collection can be made up of tuples where each tuple has (<name>: <value>, <virtualip>:<value>).

Data source type: A data source type distinguishes the type of source from which the data is retrieved. NetScaler Console supports two data source types.

managed-adc - It is a built-in data source. And, it is used for retrieving data from any existing NetScaler managed by ADM. For more information, see Use a NetScaler instance as the data source.

You can also use the target NetScaler instance as a data source. For more information, see Use target NetScaler instances as data sources.
Custom data source type - You can define custom data source types where data is locally populated on ADM.

Example:

Consider a data source type Environment. This data source type has two data sources Production and Staging. While creating a StyleBook configuration, the StyleBook user can select any data source of type Environment. Depending on the selection the data values from either Production or Staging are used as input to the StyleBook.

For more information, see Use custom data sources

Collection type: It describes what type of data that can be stored in a collection tuple. The collection type describes the name of each key in the tuple and its expected type. In a database analogy, a collection type is similar to a database schema for a table where each column has a well-defined name and supporting type.

The following diagram is a general representation of the various components of data sources and how they relate to each other:

Data Source diagram

The official version of this content is in English. Some of the Cloud Software Group documentation content is machine translated for your convenience only. Cloud Software Group has no control over machine-translated content, which may contain errors, inaccuracies or unsuitable language. No warranty of any kind, either expressed or implied, is made as to the accuracy, reliability, suitability, or correctness of any translations made from the English original into any other language, or that your Cloud Software Group product or service conforms to any machine translated content, and any warranty provided under the applicable end user license agreement or terms of service, or any other agreement with Cloud Software Group, that the product or service conforms with any documentation shall not apply to the extent that such documentation has been machine translated. Cloud Software Group will not be held responsible for any damage or issues that may arise from using machine-translated content.

Was this helpful

Manage data sources

January 8, 2024

Contributed by:

January 8, 2024

Contributed by:

Manage data sources

In this article