Engine environment variables

The following table lists Cloudera Machine Learning environment variables that you can use to customize your project environments. These can be set either as a site administrator or within the scope of a project or a job.


Environment Variable	Description
`MAX_TEXT_LENGTH`	Maximum number of characters that can be displayed in a single text cell. By default, this value is set to 800,000 and any more characters will be truncated. Default: 800,000
`PROJECT_OWNER`	The name of the Team or user that created the project.
`SESSION_MAXIMUM_MINUTES`	Maximum number of minutes a session can run before it times out. Default: 60247 minutes (7 days) Maximum Value: 35,000 minutes
`JOB_MAXIMUM_MINUTES`	Maximum number of minutes a job can run before it times out. Default: 60247 minutes (7 days) Maximum Value: 35,000 minutes
`IDLE_MAXIMUM_MINUTES`	Maximum number of minutes a session can remain idle before it exits. Default: 60 minutes Maximum Value: 35,000 minutes Idle timeouts for sessions vary by workbench type (runtime). Standard Workbench: Sessions timeout regardless of activity in the browser or terminal. PBJ Workbench: Sessions timeout if there is no browser activity and no terminal window is open. If a terminal window is open, the session will not timeout, regardless of whether there is activity in the terminal window. Jupyterlab: Sessions timeout if there is no browser activity. Terminal window activity is not considered. Custom runtimes: No idle timeout behavior is enforced on custom or third-party workbenches.
`CONDA_DEFAULT_ENV`	Points to the default Conda environment so you can use Conda to install/manage packages in the Workbench. For more details on when to use this variable, see Installing Additional Packages.

Per-Engine Environmental Variables: In addition to the previous table, there are some more built-in environmental variables that are set by the Cloudera Machine Learning application itself and do not need to be modified by users. These variables are set per-engine launched by Cloudera Machine Learning and only apply within the scope of each engine.


Environment Variable	Description
`CDSW_PROJECT`	The project to which this engine belongs.
`CDSW_PROJECT_ID`	The ID of the project to which this engine belongs.
`CDSW_ENGINE_ID`	The ID of this engine. For sessions, this appears in your browser's URL bar.
`CDSW_MASTER_ID`	If this engine is a worker, this is the `CDSW_ENGINE_ID` of its master.
`CDSW_MASTER_IP`	If this engine is a worker, this is the IP address of its master.
`CDSW_PUBLIC_PORT`	note This property is deprecated. See `CDSW_APP_PORT` and `CDSW_READONLY_PORT` for alternatives. A port on which you can expose HTTP services in the engine to browsers. HTTP services that bind `CDSW_PUBLIC_PORT` will be available in browsers at: http(s)://read-only-`<$CDSW_ENGINE_ID`>.`<$CDSW_DOMAIN>`. By default, `CDSW_PUBLIC_PORT` is set to 8080. A direct link to these web services will be available from the grid icon in the upper right corner of the Cloudera Machine Learning web application, as long as the job or session is still running. For more details, see Accessing Web User Interfaces from Cloudera Machine Learning. In Cloudera Machine Learning, setting `CDSW_PUBLIC_PORT` to a non-default port number is not supported.
`CDSW_APP_PORT`	A port on which you can expose HTTP services in the engine to browsers. HTTP services that bind `CDSW_APP_PORT` will be available in browsers at: http(s)://read-only-`<$CDSW_ENGINE_ID`>.`<$CDSW_DOMAIN>`. Use this port for applications that grant some control to the project, such as access to the session or terminal. A direct link to these web services will be available from the grid icon in the upper right corner of the Cloudera Machine Learning web application as long as the job or session runs. Even if the web UI does not have authentication, only Contributors and those with more access to the project can access it. For more details, see Accessing Web User Interfaces from Cloudera Machine Learning. Note that if the Site Administrator has enabled Allow only session creators to run commands on active sessions, then the UI is only available to the session creator. Other users will not be able to access it. Use `127.0.0.1` as the IP.
`CDSW_READONLY_PORT`	A port on which you can expose HTTP services in the engine to browsers. HTTP services that bind `CDSW_READONLY_PORT` will be available in browsers at: http(s)://read-only-`<$CDSW_ENGINE_ID`>.`<$CDSW_DOMAIN>`. Use this port for applications that grant read-only access to project results. A direct link to these web services will be available to users with from the grid icon in the upper right corner of the Cloudera Machine Learning web application as long as the job or session runs. Even if the web UI does not have authentication, Viewers and those with more access to the project can access it. For more details, see Accessing Web User Interfaces from Cloudera Machine Learning. Use `127.0.0.1` as the IP.
`CDSW_DOMAIN`	The domain on which Cloudera Machine Learning is being served. This can be useful for iframing services, as demonstrated in Accessing Web User Interfaces from Cloudera Machine Learning.
`CDSW_CPU_MILLICORES`	The number of CPU cores allocated to this engine, expressed in thousandths of a core.
`CDSW_MEMORY_MB`	The number of megabytes of memory allocated to this engine.
`CDSW_IP_ADDRESS`	Other engines in the Cloudera Machine Learning cluster can contact this engine on this IP address.
`CDSW_APP_POLLING_ENDPOINT`	Specify a custom endpoint that Cloudera Machine Learning uses to check the status of the application. The default value is '`/`'.