How to Edit Dataiku Recipes in RStudio
Though Jupyter notebooks are integrated into the Dataiku interface, many R developers use RStudio. From within RStudio, you can:
- Install the
- Connect to an existing Dataiku instance
- Pull code from an R code recipe into RStudio
- Edit the code in RStudio, and then
- Save the code back to the R recipe
This method can edit existing recipes and plugin files on the Dataiku instance, but cannot create new recipes or files.
- You should work through the R in Dataiku tutorial, or otherwise have a project with an available R recipe.
Install the dataiku R Package
Within RStudio, run the following code to install the
dataiku package. Replace
URL_Dataiku_instance with the URL to a Dataiku instance; for example, if the instance is using a secure protocol on localhost and listening on port 11500, then replace
The URL will begin with either http or https, depending on how the instance was set up and whether a secure protocol was used
To install the
dataiku package, you may need to install some dependencies. Follow RStudio’s instructions for managing R packages.
dataiku package provides add-ins for connecting to a Dataiku instance and managing R recipes on the instance.
Connect to a Dataiku Instance
- From the Add-ins menu, choose Dataiku: Setup DSS instance. This opens a dialog where you manage connections to Dataiku instances.
- Click +Connect to Another DSS Instance and fill out the following information:
- Name. Give the connection a descriptive name.
- URL. Provide the URL to your Dataiku instance; e.g. for the instance above–
- API Key This is the secret of your Personal API key.
- Select this as your active connection.
- Click Save.
Edit a Dataiku Recipe
- Open a new R Script.
- From the Add-ins menu, choose Dataiku: download R recipe code.
- Choose the project key of a project with an R recipe; for example, DKU_TUTORIAL_R if you completed the R and Dataiku DSS course.
- Choose the recipe you want to edit from list; for example, compute_orders_by_customer
- Click Download.
The code of the Dataiku R recipe is downloaded into the R Script in RStudio. You can run the code like any other R Script in RStudio. With the
dataiku package installed, the
dkuReadDataset() function causes RStudio to use the Dataiku API to pull the Dataiku dataset from the server and into a local R dataframe. Other
dataiku package functions likewise use the Dataiku API.
The exception is that you cannot write from RStudio to a Dataiku dataset. You need to save any changes you’ve made to the code back to the Dataiku recipe, and then run the recipe within Dataiku DSS.
You cannot create a new Dataiku R recipe through RStudio using these add-ins; the R recipe must already exist.
Save Changes to a Recipe
Changes made in RStudio are made to the recipe in Dataiku when you:
- Choose Dataiku: save R recipe code from the Add-ins menu.
- Click Send to DSS.
This overwrites any edits made in the meantime on the Dataiku instance.