Running Older Versions of DXJupyterLab
Learn how to run an older version of DXJupyterLab via the user interface or command-line interface.
Why Run an Older Version of DXJupyterLab?
The primary reason to run an older version of DXJupyterLab is to access snapshots containing tools that cannot be run in the current version's execution environment.
Launching an Older Version via the User Interface (UI)
From the main Platform menu, select Tools, then Tools Library.
Locate and select, from the list of tools, either DXJupyterLab with Python, R, Stata, ML, Image Processing or DXJupyterLab with Spark Cluster.
From the tool detail page, click on the Versions tab.
Select the version you'd like to run. Click the Run button.
Launching an Older Version via the Command-Line Interface (CLI)
Select the project in which you want to run DXJupyterLab.
Launch the version of DXJupyterLab you want to run, substituting the version number for
x.y.z
in the following commands:For DXJupyterLab without Spark cluster capability, run the command
dx run app-dxjupyterlab/x.y.z --priority high
.For DXJupyterLab with Spark cluster capability, run the command
dx run app-dxjupyterlab_spark_cluster/x.y.z --priority high
Accessing DXJupyterLab
After launching DXJupyterLab, access the DXJupyterLab environment using your browser. To do this:
Open the URL
https://job-xxxx.dnanexus.cloud
, substituting the job's ID forjob-xxxx
.You will see an error message "502 Bad Gateway" if DXJupyterLab is not yet accessible. If this happens, wait a few minutes, then try again.
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