RUN AND ANALYSE DATA IN VIRTUALMACHINE CODE

Right-click the Run icon in the gutter and select Restart Interpreter. For your convenience, IntelliJ IDEA provides several options to do this:

RUN AND ANALYSE DATA IN VIRTUALMACHINE CODE

When you execute code of your notebook, you might want to restart an interpreter on the target Zeppelin server. The specified file with the extracted job appears in a separate editor tab. Specify the Scala filename and its location in your file system, then confirm your choice. Right-click the selected code and select Refactor | Extract Spark Job from the context menu. Select a Spark job code fragment in the notebook. You can select a Spark job code in a notebook and extract it into a Scala file for further usage. Click this link to open the Spark Monitoring tool window and preview the completion status, event timeline, and DAG visualization. The Spark job link appears in the preview area when the paragraph contains any RDD operation that starts a Spark job, for example, count or saveAsTextFile methods. In case of the successful execution, preview the output that is shown below the paragraph code.

You can enable notifications for the cases when the execution time exceeds the specified limit. You can click this icon to execute the paragraph again. : execution has been successfully finished Once the execution completes, the execution status is shown in the toolbar and in the gutter: The progress of the execution will be shown on the toolbar.Ĭlick icon in the gutter to execute a particular paragraph of the notebook. If, for example, the current paragraph relies on the variables that are initialized in the previous paragraph, it needs to be executed first.Ĭlick on the notebook editor toolbar to execute all paragraphs of the notebook, all paragraphs above or below the current one. When executing any paragraph, mind code dependencies. You can run paragraphs one by one or all at once. To preview and analyze data sets, you need to run the executable paragraphs of your notebook.

Run and analyse data in virtualmachine