The Import Notebooks dialog works with Git URLs for public repositories only. Copy the full URL from your web browser’s address bar over into the Import Notebooks dialog. In the Repos pane, click the name of your repo, click the drop-down arrow next to the notebooks folder, and then click Import.Įnter the URL to the raw contents of the covid_eda_raw notebook in the databricks/notebook-best-practices repo in GitHub.In the New Folder Name dialog, enter notebooks, and then click Create Folder.In the Repos pane for your repo, click the drop-down arrow next to your repo’s name, and then click Create > Folder.To create a notebook in this branch or move an existing notebook into this branch instead of importing a notebook, see Workspace files basic usage. While you could create your own notebook in your repo here, importing an existing notebook here instead helps to speed up this walkthrough. Writes the Pandas API on Spark DataFrame as a Delta table in your workspace.Performs data cleansing on the Pandas API on Spark DataFrame.Saves the pandas DataFrame as a Pandas API on Spark DataFrame. Filters the data to contain metrics from only the United States.Reads the CSV file’s contents into a pandas DataFrame.This CSV file contains public data about COVID-19 hospitalizations and intensive care metrics from around the world. Copies a CSV file from the owid/covid-19-data GitHub repository onto a cluster in your workspace.In this substep, you import an existing notebook from another repo into your repo. Step 2.2: Import the notebook into the repo If your repo has a name other than best-notebooks, this dialog’s title will be different, here and throughout this walkthrough. (You can give your branch a different name.) This branch enables you to work on files and code independently from your repo’s main branch, which is a software engineering best practice. In this substep, you create a branch named eda in your repo. Step 2.1: Create a working branch in the repo You could create your own notebooks for this walkthrough, but to speed things up we provide them for you here. In this step, you import an existing external notebook into your repo. Leave Repo name set to the name of your repo, for example best-notebooks.In the drop-down list next to Git repository URL, select GitHub.This article assumes that your URL ends with best-notebooks.git, for example. For Git repository URL, enter the GitHub Clone with HTTPS URL for your GitHub repo.On the sidebar in the Data Science & Engineering or Databricks Machine Learning environment, click Repos.This personal access token (classic) must have the repo and workflow permissions. For Token, enter your GitHub personal access token (classic).For Git provider username or email, enter your GitHub username.On the Git integration tab, for Git provider, select GitHub.On the User Settings page, click Git integration.Click your username at the top right of the workspace, and then click User Settings in the dropdown list.Step 1.1: Provide your GitHub credentials To enable your workspace to connect to your GitHub repo, you must first provide your workspace with your GitHub credentials, if you have not done so already. In this step, you connect your existing GitHub repo to Azure Databricks Repos in your existing Azure Databricks workspace. Databricks recommends that these clusters have the latest Long Term Support (LTS) version installed, which is Databricks Runtime 10.4 LTS. To work with files in Databricks Repos, participating clusters must have Databricks Runtime 8.4 or higher installed. If you do, replace best-notebooks with your repo’s name throughout this walkthrough.) Create a GitHub repo if you do not already have one. (You can give your repository a different name. This walkthrough assumes that you have a GitHub repository named best-notebooks available. To complete this walkthrough, you must provide the following resources:Ī remote repository with a Git provider that Databricks supports.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |