Running Environment Options
The Designer Cloud Powered by Trifacta platform can be configured to integrate with a variety of environments for processing transformation jobs. When you run a job through the application, you have the option of selecting the running environment on which you wish to run the job.
Tip
In general, you should accept the default environment that is presented for job execution. The application attempts to match the scope of your job to the most appropriate running environment.
This section applies to execution of transform jobs. For more information on options for profiling jobs, see Profiling Options.
Available Running Environments
For more information, see Overview of Job Execution.
Configure
Configure Running Environments
To apply this configuration change, login as an administrator to the Trifacta node. Then, edit trifacta-conf.json. For more information, see Platform Configuration Methods.
The following parameters define the available running environments:
"webapp.runWithSparkSubmit": true, "webapp.runinEMR": false, "webapp,runInDatabricks' : true, "webapp.runInDataflow": false,
For more information on configuring the running environment for EMR, see Configure for EMR.
Below, you can see the configuration settings required to enable each running environment.
The Spark running environment requires a Hadoop cluster as the backend job execution environment.
In the Run Job page, select Spark.
The Trifacta Photon running environment executes on the Trifacta node and provide processing to the front-end client and at execution time.
In the Run Job page, select Photon.
For more information on disabling the Trifacta Photon running environment, see Configure Photon Running Environment.
Type | Running Environment | Configuration Parameters | Notes |
|---|---|---|---|
Hadoop Backend | Spark |
| The Spark running environment is the default configuration. |
Client Front-end and non-Hadoop Backend | Trifacta Photon | In the Workspace Settings page, set | Trifacta Photon is the default running environment for the front-end of the application. It is enabled by default. For more information, see Workspace Settings Page. |
Note
Do not modify the runInDataflow setting.
Configure Default Running Environment
When you specify a job, the default running environment is pre-configured for you, based on the following parameter:
Note
If your environment has no running environment such as Spark for running large-scale jobs, this parameter is not used. All jobs are run on the Trifacta node.
"webapp.client.maxExecutionBytes.photon": 1000000000,
The default environment presented to you is based on the size of the primary datasource. For the above setting of 1 GB:
Running Environment | Default Condition |
|---|---|
Trifacta Photon | Size of primary datasource is less than or equal to the above value in bytes. |
Spark | Size of primary datasource is greater than the above value in bytes. |
Note
This setting defines only the environment that is recommended to you as a predefined selection. If a second running environment is available, you can choose to select it, although it is not recommended to choose an environment other than the default. See Run Job Page.
Warning
Setting this value too high forces more jobs onto the Trifacta Photon running environment, which may cause slow performance and can potentially overwhelm the server.
Tip
To force the default setting to always be a Hadoop or bulk running environment, set this value to 0. All users are recommended to use the bulk option instead of the Trifacta Photon running environment. However, smaller jobs may take longer than expected to execute.