Using Zeppelin

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Available in VPC

In Cloud Hadoop of NAVER Cloud Platform, Zeppelin Notebook is installed.
This guide explains how to access Zeppelin Notebook UI and how to execute a simple example.
For more information on Zeppelin, see Apache Zeppelin Official Homepage.

Access Zeppelin Notebook UI

The following describes how to access Zeppelin Notebook UI.

• Connect via the console's web UI list
• Direct access via web browser
• Access via Ambari Web UI

Connect via the console's web UI list

You can access the Zeppelin Notebook UI through [View by application] on the Cloud Hadoop console. For more information, see View by application.

Direct access via web browser

Open a web browser, and enter the following in the address field to access. Use the domain address assigned to the cluster.

https://{domain address}:9996

Access via Ambari Web UI

The following describes how to access via the Ambari Web UI.

1. Access the Ambari UI.
   • For more information on accessing Ambari UI, see Ambari UI Guide.
2. On the Ambari UI screen, click Zeppelin Notebook > Quick Links > Zeppelin UI in order.
   • For how to access Zeppelin UI, see the guide on Accessing Web UI using tunneling.
3. Once the login page is displayed in the browser, enter the admin account and password set upon cluster creation to log in.
   • If the connection succeeds, a green dot appears next to [Login] at the top right of the Zeppelin page.

Getting started with Zeppelin Notebook

You can create Zeppelin Notebook to enter data and view the results in a graph.
This guide is written based on Zeppelin Tutorial (Basic Features) Notebook provided on Zeppelin Notebook.

Create Notebook

The following describes how to create a Notebook.

1. Click [Notebook] > Create new note at the top of the Zeppelin page.
   

2. Set the note name and information of the Notebook, and then click [Create].

   • The Default Interpreter can be changed after creating a note.
     

Load data to table

The following shows a sample code that loads data from bank.csv into the bank table.

%spark.spark
 import org.apache.commons.io.IOUtils
 import java.net.URL
 import java.nio.charset.Charset

 // Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)
 // So you don't need create them manually

 // load bank data
 val bankText = sc.parallelize(
     IOUtils.toString(
         new URL("https://cdn.document360.io/6998976f-9d95-4df8-b847-d375892b92c2/Images/Documentation/bank.csv?sv=2022-11-02&spr=https&st=2026-02-26T07%3A24%3A54Z&se=2026-02-26T07%3A37%3A54Z&sr=c&sp=r&sig=e3dZ95sUykYbnrvAzpr7XiMRclXa%2BDkUnagbkYdYBEY%3D"),
         Charset.forName("utf8")).split("\n"))


 case class Bank(age: Integer, job: String, marital: String, education: String)

 val bank = bankText.map(s => s.split(",")).filter(s => s(0) != "age").map(
     s => Bank(s(0).toInt,
             s(1).replaceAll("\"", ""),
             s(2).replaceAll("\"", ""),
             s(3).replaceAll("\"", "")
         )

 ).toDF()
 bank.registerTempTable("bank")

Run code and view results

The following describes how to run a Zeppelin Notebook code and check the result.

1. Run the code by pressing [Shift] + [Enter] keys or clicking .

   • You can check that the code has run normally with the FINISHED status and Took 4 sec phrase.
     

2. Write a Spark SQL statement to search table data in a new paragraph, and then press [Shift] + [Enter] keys or click to run the code.

   • Search result is displayed on the screen. You can use the Graph button to check the SQL results in various types of graph.

   %spark.sql
   select age, count(1) value
   from bank
   where age < 30
   group by age
   order by age
   

   

Backup Zeppelin Notebook

Zeppelin Notebook is stored on Server 1 of the cluster's master node. Therefore, if you delete a cluster, the notebook is also deleted.
To use the same notebook in another cluster, you must export the Notebook after completing the task.

The following describes how to backup Zeppelin Notebook.

1. Click the button at the upper left on the Notebook screen.
2. Specify the file name and path on the local PC and save.
   • The exported file is saved in JSON format.