> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-science-lab-4/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-pyspark-environment/notebook/notebook-page/file-options/register.md). # Register {% hint style="success" %} *Check out the given illustration on how to register a DSL Notebook as a Job.* {% endhint %} {% embed url="" %} ***Registering an .ipynb file as a Job*** {% endembed %} ## Registering an .ipynb File The user can register a Notebook script as a Job by using this functionality. * Navigate to the Notebook tab of a Repo Sync Project. * Click the ellipsis icon for a .ipynb file.
* Click the ***Register*** option for the selected .ipynb file.
* The ***Register as Job*** page opens. * Select script by using the checkbox. * Click the ***Next*** option.
* The next page opens to Validate the Script. Click the ***Validate*** icon. * A notification message appears to ensure that the script is valid. * Once the script gets validated, the ***Next*** option gets enabled. Click the ***Next*** option.
* Provide the following information: * Enter scheduler name: Provide a name for the Registered Job. * Scheduler description: Provide description for the scheduler. * Start function: Select a function from the drop-down menu. * Job basinfo: Select an option from the drop-down menu. * Docker Config * Choose an option for Limit out of Low, Medium, and High * Request - CPU and Memory limit are displayed. * Click the ***Save*** option to register the selected .ipynb file as a Job.
* A notification message appears.
* Navigate to the ***List Jobs*** page within the Data Pipeline module. * The recently registered DS Notebook gets listed with the same name that was chosen as the Scheduler name for it.
## Re-Registering an .ipynb File This option appears for a .ipynb file that has been registered before. * Select Register option for a .ipynb file that has been registered before.
* The ***Register as Job*** page opens displaying the ***Re-Register*** and ***Register*** as New options. * Select the ***Re-Register*** option by using the checkbox. * Select a version by using a checkbox. * Click the ***Next*** option.
* Select script by using the checkbox. * Click the ***Next*** option.
* The next page opens to Validate the Script. Click the ***Validate*** icon. * A notification message appears to ensure that the script is valid. * Once the script gets validated, the ***Next*** option gets enabled. Click the ***Next*** option.
* The following information appears pre-selected except the Start function and Spark Configuration: * Enter scheduler name * Scheduler description * Start function: Select a function from the drop-down menu. * Job basinfo: Select an option from the drop-down menu. * Spark Config * Driver: Provide Core and Memory details. Minimum memory is 512. * Executor: Provide Core, Memory, and Instance details. Minimum memory is 512. * Concurrency Policy: Select an option out of Allow, Forbit and Replace from the drop-down. * Scheduler time: Set scheduler time using the crone generator. The default time is 1 min. * Alert: Choose a scenario out of ***Success*** or ***Failure*** to send alert notification. * Click the ***Save*** option to register the selected .ipynb file as a Job.
* A notification message appears.
* Navigate to the ***List Jobs*** page within the Data Pipeline module. * The recently registered DS Notebook gets listed with the same name that was chosen as the Scheduler name for it.
{% hint style="info" %} *Please Note:* * Select Register as New option for a .ipynb file if you wish to register it once again to the Data Pipeline module. In this case, the same file will be listed twice to the **Job List** page. * The user can provide a **Scheduler Name** and **Description** to the file while registering as Job, they won't be pre-selected. ![](https://4082649235-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1QeOywZjV1cHo55cMW8u%2Fuploads%2FzZJ4x338B06Ku9KWo4xG%2Fimage.png?alt=media\&token=98f08388-f96b-4a83-b40c-cd9cb36735fd) * *Refer the* [***Data Science Lab Quick Start Flow***](https://docs.bdb.ai/data-science-lab-4/data-science-lab-quick-start-flow) *page to get an overview of the **Data Science Lab** module in nutshell.* {% endhint %}