Command line interface

The Elyra command line interface (CLI) allows you to manage metadata and work with pipelines.

The CLI is part of the Elyra installation and can be used without a running JupyterLab instance.

Managing metadata

In Elyra, information such as a runtime configuration or a runtime image is considered metadata. elyra-metadata is used to list, create, update, export, import or delete metadata.

Getting help

To display the list of commands that elyra-metadata supports, run

$ elyra-metadata --help

To learn more about a specific command, e.g. list, run

$ elyra-metadata list --help

Formatting list output

By default the list command displays the results in a user-friendly format.

$ elyra-metadata list runtime-images
Available metadata instances for runtime-images:

Schema          Instance    Resource
------          --------    --------
runtime-image   anaconda    .../runtime-images/anaconda.json

Specify the --json parameter to return the results in JSON to allow for programmatic processing, e.g. using jq.

$ elyra-metadata list runtime-images --json | jq ".[].display_name"
"R Script"
"Anaconda (2021.11) with Python 3.x"
"Tensorflow 2.8.0"
"Pandas 1.4.1"
"Pytorch 1.4 with CUDA-devel"
"Tensorflow 2.8.0 with GPU"
"Pytorch 1.4 with CUDA-runtime"
"Pandas on"

List, create, update, export, import and delete metadata

Refer to the topics below for detailed information on how to use elyra-metadata to

Creating and updating metadata with complex properties

The elyra-metadata application derives its command-line options (aside from a handful of system options) directly from the schema associated with the referenced schemaspace. In most cases, the schema properties are straightforward and easily determined. However, JSON schemas can also contain complex properties and references that are not within the scope of elyra-metadata. This section presents ways to create and update instances built from complex schemas.

Application-level properties within a schema reside as top-level properties within the schema’s metadata stanza. For example, here’s the code-snippet schema for the code-snippets schemaspace:

  "metadata": {
    "description": "Additional data specific to this Code Snippet",
    "type": "object",
    "properties": {
      "description": {
        "title": "Description",
        "description": "Code snippet description",
        "type": "string"
      "tags": {
        "title": "Tags",
        "description": "Tags for categorizing snippets",
        "type": "array",
        "items": {
          "type": "string"
        "uihints": {
          "ui:field": "tags"
      "language": {
        "title": "Language",
        "description": "Code snippet implementation language",
        "type": "string",
        "uihints": {
          "ui:field": "dropdown",
          "default_choices": [
          "category": "Source"
        "minLength": 1
      "code": {
        "title": "Code",
        "description": "Code snippet code lines",
        "type": "array",
        "uihints": {
          "ui:field": "code",
          "category": "Source"
    "required": [

and elyra-metadata generates options corresponding to each of the metadata properties and including helpful tips like whether the property is required and a hint as to how its value should be entered:

--description=<string> (Format: sequence of characters) 
	Code snippet description
--tags=<array> (Format: "['item1', 'item2']" or "item1,item2") 
	Tags for categorizing snippets
--language=<string> (Required. Format: sequence of characters) 
	Code snippet implementation language
--code=<array> (Required. Format: "['item1', 'item2']" or "item1,item2") 
	Code snippet code lines

Tip: You can omit the = separator character. For example, --description <string>.

When complex properties are present, the complexity of interpreting their semantics into CLI options is not sustainable. To address this, two options can be used that bypass the per-property processing and allow you to create or update the instance directly.

The --file option takes a filepath to a JSON-formatted file. The file can contain the entire JSON including the higher-level system properties that reside outside the metadata stanza. Or, it may contain only the JSON that comprises the metadata stanza.

The --json option works similar to --file but allows the specification of the bulk JSON to be referenced as a string. Its behavior is the same as --file relative to what is expected in the data. This option may be used in situations where file creation is not available or the metadata is small.

The other, top-level properties can be specified directly on the command line and will act as overrides to whatever properties and values are referenced within the bulk JSON data.

It should also be noted that individual object-valued properties can optionally take a filepath as their value. If the value exists as a file, that file will be read and used to populate the object-valued property’s value.

Should a failure be encountered relative to a complex schema, the properties identified as complex will be identified in the tool’s usage statement. They will refer to a note at the bottom of the usage statement indicating that these approaches should be used.

Finally, when updating instances using the update command, you are not required to include unchanged values on the command line. Instead, the existing object is read and any properties provided on the command line, or included in the bulk JSON data, are applied to the existing properties.

Working with pipelines

In Elyra, a pipeline is a representation of a workflow that you run locally or remotely on Kubeflow Pipelines or Apache Airflow. The elyra-pipeline CLI is used to run pipelines, validate pipelines, describe pipelines, or export pipelines.

Getting help

To display the list of commands that elyra-pipeline supports, run

$ elyra-pipeline --help

To learn more about a specific command, e.g. submit, run

$ elyra-pipeline submit --help

Refer to the topics below for detailed information on how to use elyra-pipeline to