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This article introduces the relevant knowledge of "installation and use of JupyterLab". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

1. Purpose of document writing

Content Overview

1.JupyterLab installation

Use of basic functions of 2.Jupyter Lab

3. Summary

Test environment description

1.RedHat7.2

2.Jupyter Notebook is 1.0.0

3.Jupyter has been integrated with Livy services

4.Python3.6.5

2.JupyterLab installation

1. Install jupyterlabs in the current Python environment

[root@cdh04 ~] # / opt/cloudera/anaconda3/bin/pip install jupyterlab

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two。 Start the extension in jupyter after installing jupyterlab

[root@cdh04] # / opt/cloudera/anaconda3/bin/jupyter serverextension enable-- sys-prefix jupyterlab

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3. Restart the Jupyter service

[root@cdh04] # / opt/cloudera/anaconda3/bin/jupyter-lab-- allow-root

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4. Access http://cdh04.fayson.com:8888 in a browser

It is the same as the previous Jupyter Notebook access interface.

3.Jupyter Lab usage

1. Enter the password to enter the Jupyter Lab main interface

two。 Create a new Notebook for pysaprk

3. Run pyspark code in an open Notebook

TextFile = spark.read.text ("/ tmp/test.txt")

TextFile.count ()

TextFile.first ()

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Click the Spark UI shown in the run result to see the job running.

The example Pyspark job that runs through the Livy service is the Sessions of the Livy service as follows

4. Summary

1.JupyterLab is an upgraded version of Jupyter Notebook to provide a better user experience

2.JupyterLab has more powerful support for coding, more languages and programming styles, etc.

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