Export Catalog
GoodData.UI visual components render data stored in your GoodData platform, GoodData Cloud or GoodData.CN workspaces. Your application specifies what data to render by referencing the Logical Data Model (LDM) objects: attributes, display forms (also known as labels), facts, and measures.
To simplify this task, GoodData.UI offers the @gooddata/catalog-export tool. @gooddata/catalog-export exports a
list of catalog items and date datasets from a GoodData workspace into JavaScript or TypeScript code. The generated code
contains exported constant-per-LDM-object.
Using this generated code, you can create charts and execution definitions in a very efficient and natural way.
Built-in integrations
Accelerator Toolkit applications
The @gooddata/catalog-export tool is installed and integrated into all applications bootstrapped using the @gooddata/create-gooddata-react-app tool. A bootstrapped application's package.json contains the refresh-md script that you can call to start the @gooddata/catalog-export tool with arguments derived from your application configuration.
If you created your application using @gooddata/create-gooddata-react-app, you may be interested in additional
configuration options described further in this document.
Dashboard plugins
The @gooddata/catalog-export tool is installed and integrated into all dashboard plugins bootstrapped using the @gooddata/plugin-toolkit tool.
A bootstrapped plugin project's package.json contains the refresh-md script that you can call to start the @gooddata/catalog-export tool with arguments derived from your plugin configuration.
In addition to that, you may be interested in additional configuration options and recommendations described further in this document.
Installing @gooddata/catalog-export
Include @gooddata/catalog-export as a devDependency of your application. Launching it through npx is not supported. If you start the tool using npx and try to export the catalog into a JavaScript file, you will encounter errors.
To install the stable version, run one of the following commands depending on your package manager:
yarn
yarn add @gooddata/catalog-export --dev
npm
$ npm install @gooddata/catalog-export --save-dev
Using @gooddata/catalog-export
@gooddata/catalog-export is a command-line tool designed to retrieve metadata from a workspace and convert it into TypeScript or JavaScript representation. This tool offers three operational modes - interactive, silent, and hybrid.
This is how it works:
The program searches the
package.jsonfile forgooddataentry. If found, the program reads input parameters from this file.The configuration can contain some, or all, of the parameters that you would typically provide on the command line:
{ ... gooddata: { "hostname": "your.gooddata.hostname.com", "workspaceId": "your_gooddata_workspaceid", "catalogOutput": "desired_file_name.ts|js", "backend": "tiger|bear" }, ... }NOTE: TypeScript or JavaScript output files are generated based on the filename extension specified in the output parameter.
It is not possible to specify credentials (
token,usernameandpasswordparameters) inpackage.jsonfile, as it is typically saved in VCS (e.g. Git). Instead, credentials can be specified through environmental variables. We also load.envfile if it's present in the same folder.TIGER_API_TOKEN=<your_token_for_the_tiger_server> # or GDC_USERNAME=<your_username> GDC_PASSWORD=<your_password>NOTE: Make sure to never commit
.envfile to your version control system.The program also reads input parameters from the command line. To learn more about the available parameters, run the following command:
npx @gooddata/catalog-export --helpParameters provided via the command line take precedence over the corresponding parameters in the config file.
If all required parameters are entered, the program runs and exports the metadata from the workspace. If any parameter is missing, the program will prompt you to enter it.
IMPORTANT! The program does not accept passwords via the command line. You can either put the password into
.envor enter it interactively.
Using @gooddata/catalog-export with GoodData Cloud and GoodData.CN
The @gooddata/catalog-export tool can work on top of either the GoodData Cloud / GoodData.CN, or GoodData platform. By default, the tool assumes it is connecting to the GoodData Cloud / GoodData.CN. To switch to GoodData Platform, use either the backend argument on the command line or the backend parameter in the package.json configuration:
Command line:
--backend bearpackage.json:{ ... gooddata: { "hostname": "your.gooddata.hostname.com", "workspaceId": "your_gooddata_workspaceid", "catalogOutput": "desired_file_name.ts|js", "backend": "bear" }, ... }
The tool uses Bearer token authentication when communicating with your GoodData Cloud instance or your GoodData.CN installation. For more information about how to obtain API tokens, see the GoodData Cloud and GoodData.CN authentication page.
Subsequent catalog exports
The catalog export will overwrite the generated files. If you need to modify the generated constants or add new LDM objects, do so through a layer of indirection: in a different file adjacent to the generated code.
Recommendations
Include
@gooddata/catalog-exportas a devDependency of your application and define an NPM scriptrefresh-mdto run the program.Do not import the constants directly. Instead, wrap the constants into a namespace as follows:
import * as Md from "./md/generatedFile"; export { Md };Never modify the generated files.
If you need to modify the generated constants or add new LDM objects, do so through a layer of indirection: in a different file adjacent to the generated code. For examples, look at our reference-workspace LDM and package.
Limitations
@gooddata/catalog-export exports only data from a workspace (production data).
If you uploaded data to your workspace from a file, the data from the file is added as a separate dataset (non-production data), and @gooddata/catalog-export cannot retrieve it. This also includes any measures that were created using the data from that separate dataset.
Example
Attributes with multiple display forms (labels) are generated into a constant such as this:
export const City = {
/**
* Display Form Title: city
* Display Form ID: label.uscities.city
*/
Default: newAttribute("label.uscities.city"),
/**
* Display Form Title: location
* Display Form ID: label.uscities.city.location
*/
Location: newAttribute("label.uscities.city.location"),
};
Attributes with a single display form (label) are generated into a constant such as this:
/**
* Attribute Title: Location Resort
* Display Form ID: attr.restaurantlocation.locationresort
*/
export const LocationResort = newAttribute("label.restaurantlocation.locationresort");
MAQL metrics are generated into a constant such as this:
/**
* Metric Title: $ Total Sales
* Metric ID: aa7ulGyKhIE5
* Metric Type: MAQL Metric
*/
export const $TotalSales = newMeasure("aa7ulGyKhIE5");
/**
* Metric Title: $ Franchise Fees
* Metric ID: aaEGaXAEgB7U
* Metric Type: MAQL Metric
*/
export const $FranchiseFees = newMeasure("aaEGaXAEgB7U");
/**
* Metric Title: $ Franchise Fees (Ad Royalty)
* Metric ID: aabHeqImaK0d
* Metric Type: MAQL Metric
*/
export const $FranchiseFeesAdRoyalty = newMeasure("aabHeqImaK0d");
/**
* Metric Title: $ Franchise Fees (Ongoing Royalty)
* Metric ID: aaWGcgnsfxIg
* Metric Type: MAQL Metric
*/
export const $FranchiseFeesOngoingRoyalty = newMeasure("aaWGcgnsfxIg");
For facts, @gooddata/catalog-export generates an object with keys for each supported aggregation:
/**
* Fact Title: Cost
* Fact ID: fact.restaurantcostsfact.cost
*/
export const Cost = {
/**
* Fact Title: Cost
* Fact ID: fact.restaurantcostsfact.cost
* Fact Aggregation: sum
*/
Sum: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("sum")),
/**
* Fact Title: Cost
* Fact ID: fact.restaurantcostsfact.cost
* Fact Aggregation: count
*/
Count: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("count")),
/**
* Fact Title: Cost
* Fact ID: fact.restaurantcostsfact.cost
* Fact Aggregation: avg
*/
Avg: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("avg")),
/**
* Fact Title: Cost
* Fact ID: fact.restaurantcostsfact.cost
* Fact Aggregation: min
*/
Min: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("min")),
/**
* Fact Title: Cost
* Fact ID: fact.restaurantcostsfact.cost
* Fact Aggregation: max
*/
Max: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("max")),
/**
* Fact Title: Cost
* Fact ID: fact.restaurantcostsfact.cost
* Fact Aggregation: median
*/
Median: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("median")),
/**
* Fact Title: Cost
* Fact ID: fact.restaurantcostsfact.cost
* Fact Aggregation: runsum
*/
Runsum: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("runsum")),
};
For date datasets, @gooddata/catalog-export includes one constant per attribute. The date dimension name is the prefix of the constant name. Attributes with multiple display forms are generated as follows:
export const TimelineMonth = {
/**
* Display Form Title: Short (Jan) (Timeline)
* Display Form ID: timeline.abm81lMifn6q
*/
Short: newAttribute("timeline.abm81lMifn6q"),
/**
* Display Form Title: Long (January) (Timeline)
* Display Form ID: timeline.abs81lMifn6q
*/
Long: newAttribute("timeline.abs81lMifn6q"),
/**
* Display Form Title: Number (M1) (Timeline)
* Display Form ID: timeline.abq81lMifn6q
*/
Number: newAttribute("timeline.abq81lMifn6q"),
/**
* Display Form Title: M/Q (M1/Q1) (Timeline)
* Display Form ID: timeline.abo81lMifn6q
*/
MQ: newAttribute("timeline.abo81lMifn6q"),
};
Date dataset attributes that do not have multiple display forms are generated as follows:
export const TimelineQuarterYear = newAttribute("timeline.aci81lMifn6q");