Question

我是Pyspark的新手。我安装了＆＃34; bash Anaconda2-4.0.0-Linux-x86_64.sh＆＃34;在ubuntu上。还安装了pyspark。终端一切正常。我想在jupyter上工作。当我在我的ubuntu终端中创建配置文件时，如下所示：

wanderer@wanderer-VirtualBox:~$ ipython profile create pyspark
[ProfileCreate] Generating default config file: u'/home/wanderer/.ipython/profile_pyspark/ipython_config.py'
[ProfileCreate] Generating default config file: u'/home/wanderer/.ipython/profile_pyspark/ipython_kernel_config.py'

wanderer@wanderer-VirtualBox:~$ export ANACONDA_ROOT=~/anaconda2
wanderer@wanderer-VirtualBox:~$ export PYSPARK_DRIVER_PYTHON=$ANACONDA_ROOT/bin/ipython
wanderer@wanderer-VirtualBox:~$ export PYSPARK_PYTHON=$ANACONDA_ROOT/bin/python

wanderer@wanderer-VirtualBox:~$ cd spark-1.5.2-bin-hadoop2.6/
wanderer@wanderer-VirtualBox:~/spark-1.5.2-bin-hadoop2.6$ PYTHON_OPTS=”notebook” ./bin/pyspark
Python 2.7.11 |Anaconda 4.0.0 (64-bit)| (default, Dec  6 2015, 18:08:32) 
Type "copyright", "credits" or "license" for more information.

IPython 4.1.2 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
16/04/24 15:27:42 INFO SparkContext: Running Spark version 1.5.2
16/04/24 15:27:43 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

16/04/24 15:27:53 INFO BlockManagerMasterEndpoint: Registering block manager localhost:33514 with 530.3 MB RAM, BlockManagerId(driver, localhost, 33514)
16/04/24 15:27:53 INFO BlockManagerMaster: Registered BlockManager
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /__ / .__/\_,_/_/ /_/\_\   version 1.5.2
      /_/

Using Python version 2.7.11 (default, Dec  6 2015 18:08:32)
SparkContext available as sc, HiveContext available as sqlContext.

In [1]: sc
Out[1]: <pyspark.context.SparkContext at 0x7fc96cc6fd10>

In [2]: print sc.version
1.5.2

In [3]:

以下是jupyter和ipython的版本

wanderer@wanderer-VirtualBox:~$ jupyter --version
4.1.0

wanderer@wanderer-VirtualBox:~$ ipython --version
4.1.2

我试图整合jupyter笔记本和pyspark，但每件事都失败了。我想在jupyter中锻炼，并且不知道如何整合jupyter笔记本和pyspark。

有人能展示如何整合上述组件吗？

Answer 1

只需运行命令：

PYSPARK_DRIVER_PYTHON="jupyter" PYSPARK_DRIVER_PYTHON_OPTS="notebook" pyspark

Answer 2

使用nano或vim添加到pyspark这两行：

PYSPARK_DRIVER_PYTHON="jupyter"
PYSPARK_DRIVER_PYTHON_OPTS="notebook"

Answer 3

编辑2017年10月

使用Spark 2.2 findspark这很有效，不需要那些env vars

import findspark
findspark.init('/opt/spark')
import pyspark
sc = pyspark.SparkContext()

<强> OLD

我找到的最快的方法是运行：

export PYSPARK_DRIVER=ipython
export PYSPARK_DRIVER_PYTHON_OPTS="notebook"
pyspark

或等同于jupyter。这应该打开启用了pyspark的ipython笔记本。您可能还想查看Beaker notebook。

我应该如何在Ubuntu 12.04上集成Jupyter笔记本和pyspark？

3 个答案: