Installation of Pyspark under Ubuntu

Source: Internet
Author: User
Tags pyspark

1. Install jkd1.8 (no longer described here)

2. Enter pip install Pyspark directly at the terminal (the simplest installation method available on the website)

The process is as follows:

collecting Pyspark downloading https:files.pythonhosted.org/packages/ee/2f/709df6e8dc00624689aa0a11c7a4c06061a7d00037e370584b9f011df44c/ Pyspark-2.3.1.tar.gz (211. 9MB)100% |████████████████████████████████| 211.9MB 8.3kb/s requirement already satisfied:py4j==0.10.7inch./anaconda3/lib/python3.6/site-packages ( fromPyspark) Building Wheels forcollected Packages:pyspark Running setup.py bdist_wheel forPyspark . Done StoredinchDirectory:/home/tan/.cache/pip/wheels/37/48/54/f1b63f0dbb729e20c92f1bbcf1c53c03b300e0b93ca1781526successfully built pysparkinstalling collected packages: Pysparksuccessfully installed Pyspark-2.3.1

After the installation is complete, the terminal input Pyspark, start Pyspark error ...

[Email protected]:~ is not set

Workaround:

Find the installation path for Pyspark

[Email protected]:~ in./anaconda3/lib/python3.6/site-Packagesrequirement already satisfied: py4j in./anaconda3/lib/python3.6/site-packages ( from Pyspark)

Once the path is found, add the JDK installation path to the load-spark-env.sh file

Export java_home=/home/tan/jdk1.8.0_181

Once saved, enter Pyspark again at the terminal to successfully start the Pyspark

[Email protected]:~$ Pysparkpython3.6.4 | Anaconda, inc.| (Default, Jan 16 2018, 18:10:19) [GCC7.2. 0] on Linuxtype" Help","Copyright","credits" or "License"  forMore information.2018-07-29 12:37:48 WARN utils:66-your hostname, tan-precision-tower-3620 resolves to a loopback address:127.0.1.1; Using 192.168.0.100instead (on interface Enp0s31f6)2018-07-29 12:37:48 WARN Utils:66-set spark_local_ipifYou need to bind to another address2018-07-29 12:37:48 WARN nativecodeloader:62-unable to load Native-hadoop Library forYour platform ... using builtin-Java classes where applicablesetting default log level to"WARN". To adjust logging level use Sc.setloglevel (Newlevel). For Sparkr, use Setloglevel (Newlevel). Welcome to____              __     / __/_____ _____/ /__    _\ \/ _ \/ _ `/ __/'_//__/. __/\_,_/_//_/\_\ Version 2.3.1/_/Using Python Version3.6.4 (Default, Jan 16 2018 18:10:19) Sparksession available as'Spark'.>>>

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Installation of Pyspark under Ubuntu

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