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
dataiku
package. -
Connect to an existing Dataiku instance.
-
Pull code from an R code recipe into RStudio.
-
Edit the code in RStudio.
-
Save the code back to the R recipe.
Note
This method can edit existing recipes and plugin files on the Dataiku instance, but cannot create new recipes or files.
Prerequisites #
-
You should work through the R in Dataiku tutorial, or otherwise have a project with an available R recipe.
-
Access to a Dataiku instance with the R integration installed.
-
Access to RStudio .
-
A personal API key to the Dataiku instance.
Install the Dataiku R package #
-
Within RStudio, run the following code to install the
dataiku
package.install.packages("<URL_Dataiku_instance>/public/packages/dataiku_current.tar.gz", repos=NULL)
-
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 replaceURL_Dataiku_instance
withhttps://localhost:11500
.Warning
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 (Posit’s) instructions for managing R packages.
The
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–
https://localhost:11500
. -
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 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.
Note
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.