精华内容
下载资源
问答
  • I want to run Spark on a local machine using pyspark. From here I use the commands:sbt/sbt assembly$ ./bin/pysparkThe install completes, but pyspark is unable to run, resulting in the following error ...

    I want to run Spark on a local machine using pyspark. From here I use the commands:

    sbt/sbt assembly

    $ ./bin/pyspark

    The install completes, but pyspark is unable to run, resulting in the following error (in full):

    138:spark-0.9.1 comp_name$ ./bin/pyspark

    Python 2.7.6 |Anaconda 1.9.2 (x86_64)| (default, Jan 10 2014, 11:23:15)

    [GCC 4.0.1 (Apple Inc. build 5493)] on darwin

    Type "help", "copyright", "credits" or "license" for more information.

    Traceback (most recent call last):

    File "/Users/comp_name/Downloads/spark-0.9.1/python/pyspark/shell.py", line 32, in

    sc = SparkContext(os.environ.get("MASTER", "local"), "PySparkShell", pyFiles=add_files)

    File "/Users/comp_name/Downloads/spark-0.9.1/python/pyspark/context.py", line 123, in __init__

    self._jsc = self._jvm.JavaSparkContext(self._conf._jconf)

    File "/Users/comp_name/Downloads/spark-0.9.1/python/lib/py4j-0.8.1-src.zip/py4j/java_gateway.py", line 669, in __call__

    File "/Users/comp_name/Downloads/spark-0.9.1/python/lib/py4j-0.8.1-src.zip/py4j/protocol.py", line 300, in get_return_value

    py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.

    : java.net.UnknownHostException: 138.7.100.10.in-addr.arpa: 138.7.100.10.in-addr.arpa: nodename nor servname provided, or not known

    at java.net.InetAddress.getLocalHost(InetAddress.java:1466)

    at org.apache.spark.util.Utils$.findLocalIpAddress(Utils.scala:355)

    at org.apache.spark.util.Utils$.localIpAddress$lzycompute(Utils.scala:347)

    at org.apache.spark.util.Utils$.localIpAddress(Utils.scala:347)

    at org.apache.spark.util.Utils$.localIpAddressHostname$lzycompute(Utils.scala:348)

    at org.apache.spark.util.Utils$.localIpAddressHostname(Utils.scala:348)

    at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:395)

    at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:395)

    at scala.Option.getOrElse(Option.scala:120)

    at org.apache.spark.util.Utils$.localHostName(Utils.scala:395)

    at org.apache.spark.SparkContext.(SparkContext.scala:124)

    at org.apache.spark.api.java.JavaSparkContext.(JavaSparkContext.scala:47)

    at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)

    at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)

    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)

    at java.lang.reflect.Constructor.newInstance(Constructor.java:526)

    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:234)

    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)

    at py4j.Gateway.invoke(Gateway.java:214)

    at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:79)

    at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:68)

    at py4j.GatewayConnection.run(GatewayConnection.java:207)

    at java.lang.Thread.run(Thread.java:724)

    Caused by: java.net.UnknownHostException: 138.7.100.10.in-addr.arpa: nodename nor servname provided, or not known

    at java.net.Inet6AddressImpl.lookupAllHostAddr(Native Method)

    at java.net.InetAddress$1.lookupAllHostAddr(InetAddress.java:894)

    at java.net.InetAddress.getAddressesFromNameService(InetAddress.java:1286)

    at java.net.InetAddress.getLocalHost(InetAddress.java:1462)

    ... 22 more

    Any ideas what I am doing wrong? I don't know where the IP address 138.7.100.10 comes from.

    I get this error when using (or not) MAMP to create a localhost.

    Thanks in advance!

    解决方案

    I turns out, the Java version I was using was 1.7.

    I'm using a Macbook Air, running 10.9.2

    $ java -version

    gave me:

    java version "1.7.0_25"

    Java(TM) SE Runtime Environment (build 1.7.0_25-b15)

    Java HotSpot(TM) 64-Bit Server VM (build 23.25-b01, mixed mode)

    To downgrade to 1.6:

    $ cd /Library/Java/JavaVirtualMachines

    $ ls

    returned:

    jdk1.7.0_25.jdk

    To delete that file (and downgrade java and fix my issue):

    $ sudo rm -rf jdk1.7.0_25.jdk

    Then I had:

    $ java -version

    Which gave the output:

    java version "1.6.0_65"

    Java(TM) SE Runtime Environment (build 1.6.0_65-b14-462-11M4609)

    Java HotSpot(TM) 64-Bit Server VM (build 20.65-b04-462, mixed mode)

    And finally, I am able to run Spark:

    $ ./bin/pyspark

    And all is happy:

    Welcome to

    ____ __

    / __/__ ___ _____/ /__

    _\ \/ _ \/ _ `/ __/ '_/

    /__ / .__/\_,_/_/ /_/\_\ version 0.9.1

    /_/

    展开全文
  • copy file /Path_spark/python/pyspark to /your_python_Lib_path/site-packages 4) maybe should install py4j as usual method: run ' pip install py4j ' in cmd 5) now we can import ...

    1) downloads spark-x.x.x-bin-hadoopx.x.tgz from offical website

    and untgz to your path :

    such as D:\google_downloads\spark-2.0.0-bin-hadoop2.7

    here we call \Path_spark for short

    2.1) install environment_path: append '/Path_spark/bin' to 'Path' environment_path var

    2.2) add SPARK_HOME : set /Path_spark as new environment_var SPARK_HOME

    3) copy file /Path_spark/python/pyspark to /your_python_Lib_path/site-packages

    4) maybe should install py4j as usual method: run ' pip install py4j ' in cmd

    5) now we can import pyspark in python_shell or relate python_IDE

    ---

    success in python 3.5.1 ,spark 2.0.0 ,jdk 1.8.0_45

    展开全文
  • I have installed pyspark recently. It was installed ... When I am using following simple program in python, I am getting an error.>>from pyspark import SparkContext>>sc = SparkConte...

    I have installed pyspark recently. It was installed correctly. When I am using following simple program in python, I am getting an error.

    >>from pyspark import SparkContext

    >>sc = SparkContext()

    >>data = range(1,1000)

    >>rdd = sc.parallelize(data)

    >>rdd.collect()

    while running the last line I am getting error whose key line seems to be

    [Stage 0:> (0 + 0) / 4]18/01/15 14:36:32 ERROR Executor: Exception in task 1.0 in stage 0.0 (TID 1)

    org.apache.spark.api.python.PythonException: Traceback (most recent call last):

    File "/usr/local/lib/python3.5/dist-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 123, in main

    ("%d.%d" % sys.version_info[:2], version))

    Exception: Python in worker has different version 2.7 than that in driver 3.5, PySpark cannot run with different minor versions.Please check environment variables PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON are correctly set.

    I have the following variables in .bashrc

    export SPARK_HOME=/opt/spark

    export PYTHONPATH=$SPARK_HOME/python3

    I am using Python 3.

    解决方案

    By the way, if you use PyCharm, you could add PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON to run/debug configurations per image below

    1042f2862d89aac38d7b3f8f24f1496c.png

    展开全文
  • 在mac上安装pySpark,并且在pyCharm中python调用pyspark。目前用python比较多,所以想安装pySpark,并且在pyCharm中调用。 Windows安装pySpark,并且在pyCharm中调用例子参见网址 ython 利用pyspark 直接在本地...

    在mac上安装下pySpark,并且在pyCharm中python调用pyspark。目前用python比较多,所以想安装下pySpark,并且在pyCharm中调用。 

    ython 利用pyspark 直接在本地操作spark,运行spark程序
    本文将从软件下载,安装,第一部分配置,编程,初次运行,第二部分配置,最终正确运行,这几个方面进行,下面,闲话不说,码上呈现过程。

    1、下载软件包:

    jdk-8u131-macosx-x64.dmg
    spark-2.1.0-bin-hadoop2.6.tgz

    2、安装spark环境

    1)jdk默认安装 
    (2)spark-2.1.0-bin-hadoop2.6.tgz先进行解压,并进行相关配置。假设目录为/Users/a6/Applications/spark-2.1.0-bin-hadoop2.6 
    (3)这时,切换到 /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/bin,输入pySpark。如果你安装成功的话,可看到下图 


    3、配置在PyCharm中调用pySpark的加载包

    如何抛开mac权限问题,强行安装python第三方包。
    要想在PyCharm中调用pySpark,需要加载包。将/Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/文件夹下pySpark文件夹拷贝到/Library/Python/2.7/site-packages/(注:我的python安装目录是这个路径,可能有的读者是C:\Anaconda2\Lib\site-packages**或者C:\Python27\Lib\site-packages)

    (1)首选找到找到/Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/这个目录,然后将pyspark这个文件夹整个拷贝到/Library/Python/2.7/site-packages/这个目录下:
    localhost:python a6$ pwd
    /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python
    localhost:python a6$ cd pyspark/
    localhost:pyspark a6$ ls
    __init__.py        broadcast.pyc        context.py        find_spark_home.py    java_gateway.pyc    profiler.py        rddsampler.pyc        shell.py        statcounter.pyc        streaming        version.pyc
    __init__.pyc        cloudpickle.py        context.pyc        find_spark_home.pyc    join.py            profiler.pyc        resultiterable.py    shuffle.py        status.py        tests.py        worker.py
    accumulators.py        cloudpickle.pyc        daemon.py        heapq3.py        join.pyc        rdd.py            resultiterable.pyc    shuffle.pyc        status.pyc        traceback_utils.py
    accumulators.pyc    conf.py            files.py        heapq3.pyc        ml            rdd.pyc            serializers.py        sql            storagelevel.py        traceback_utils.pyc
    broadcast.py        conf.pyc        files.pyc        java_gateway.py        mllib            rddsampler.py        serializers.pyc        statcounter.py        storagelevel.pyc    version.py


    (2)找到python的包目录:/Library/Python/2.7/site-packages/
    localhost:python a6$ python
    Python 2.7.10 (default, Feb  7 2017, 00:08:15)
    [GCC 4.2.1 Compatible Apple LLVM 8.0.0 (clang-800.0.34)] on darwin
    Type "help", "copyright", "credits" or "license" for more information.
    >>> import sys
    >>> print sys.path
    ['', '/Library/Python/2.7/site-packages/pip-9.0.1-py2.7.egg', '/Library/Python/2.7/site-packages/py4j-0.10.6-py2.7.egg', '/Library/Python/2.7/site-packages/redis-2.10.6-py2.7.egg', '/Library/Python/2.7/site-packages/MySQL_python-1.2.4-py2.7-macosx-10.12-intel.egg', '/Library/Python/2.7/site-packages/thrift-0.10.0-py2.7-macosx-10.12-intel.egg', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python27.zip', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-darwin', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac/lib-scriptpackages', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-tk', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-old', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload', '/Library/Python/2.7/site-packages', '/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python', '/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/PyObjC']
    >>> exit()

    从而确定包目录为:/Library/Python/2.7/site-packages/

    (3)进行pyspark的拷贝,发现没有权限,从而进行变相拷贝,如下:
    localhost:site-packages a6$ pwd
    /Library/Python/2.7/site-packages
    localhost:site-packages a6$ mkdir pyspark
    mkdir: pyspark: Permission denied
    localhost:site-packages a6$ sudo mkdir pyspark
    Password:
    localhost:pyspark a6$ pwd
    /Library/Python/2.7/site-packages/pyspark
    localhost:pyspark a6$ cp /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/pyspark/* ./
    cp: ./__init__.py: Permission denied
    cp: ./__init__.pyc: Permission denied
    cp: ./accumulators.py: Permission denied
    cp: ./accumulators.pyc: Permission denied
    cp: ./broadcast.py: Permission denied
    cp: ./broadcast.pyc: Permission denied
    …………
    cp: ./join.pyc: Permission denied
    cp: /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/pyspark/ml is a directory (not copied).
    cp: /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/pyspark/mllib is a directory (not copied).
    cp: ./profiler.py: Permission denied
    cp: ./profiler.pyc: Permission denied
    cp: ./rdd.py: Permission denied
    cp: ./rdd.pyc: Permission denied
    cp: ./rddsampler.py: Permission denied
    cp: ./rddsampler.pyc: Permission denied
    cp: ./resultiterable.py: Permission denied
    cp: ./resultiterable.pyc: Permission denied
    cp: ./serializers.py: Permission denied
    cp: ./serializers.pyc: Permission denied
    localhost:pyspark a6$ sudo cp /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/pyspark/* ./
    cp: /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/pyspark/ml is a directory (not copied).
    cp: /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/pyspark/mllib is a directory (not copied).
    cp: /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/pyspark/sql is a directory (not copied).
    cp: /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/pyspark/streaming is a directory (not copied).
    localhost:pyspark a6$ sudo cp -rf  /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/pyspark/* ./
    localhost:pyspark a6$ ls
    __init__.py        broadcast.pyc        context.py        find_spark_home.py    java_gateway.pyc    profiler.py        rddsampler.pyc        shell.py        statcounter.pyc        streaming        version.pyc
    __init__.pyc        cloudpickle.py        context.pyc        find_spark_home.pyc    join.py            profiler.pyc        resultiterable.py    shuffle.py        status.py        tests.py        worker.py
    accumulators.py        cloudpickle.pyc        daemon.py        heapq3.py        join.pyc        rdd.py            resultiterable.pyc    shuffle.pyc        status.pyc        traceback_utils.py
    accumulators.pyc    conf.py            files.py        heapq3.pyc        ml            rdd.pyc            serializers.py        sql            storagelevel.py        traceback_utils.pyc
    broadcast.py        conf.pyc        files.pyc        java_gateway.py        mllib            rddsampler.py        serializers.pyc        statcounter.py        storagelevel.pyc    version.py
    localhost:pyspark a6$

    4、python操作pyspark的编码
    代码如下:
    from operator import add
    from pyspark import SparkContext
    if __name__ == "__main__":
        sc = SparkContext(appName="PythonWordCount")
        lines = sc.textFile('words.txt')
        counts = lines.flatMap(lambda x: x.split(' ')) \
                      .map(lambda x: (x, 1)) \
                      .reduceByKey(add)
        output = counts.collect()
        for (word, count) in output:
            print "%s: %i" % (word, count)
        sc.stop()
    


    代码中words.txt内容如下
    good bad cool 
    hadoop spark mlib 
    good spark mlib 
    cool spark bad


    4、初步运行

    (1)初步运行,然后报错,哈哈哈 ,补充配置。
    /System/Library/Frameworks/Python.framework/Versions/2.7/bin/python2.7 /Users/a6/Downloads/PycharmProjects/test_use_hbase_by_thrift/test_python_local_use_spark.py
    Could not find valid SPARK_HOME while searching ['/Users/a6/Downloads/PycharmProjects', '/Library/Python/2.7/site-packages/pyspark', '/Library/Python/2.7/site-packages/pyspark', '/Library/Python/2.7']
    
    Process finished with exit code 255


    (2)其实是还有一个地方没有配置 
    在pyCharm的菜单栏里找到Run => Edit Configurations,点击下面红色标记的地方,添加环境变量。 
    添加spark的按照目录,如红色框部分所示:




    (3)再次运行
    得到如下正确结果 
    /System/Library/Frameworks/Python.framework/Versions/2.7/bin/python2.7 /Users/a6/Downloads/PycharmProjects/test_use_hbase_by_thrift/test_python_local_use_spark.py
    Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
    Setting default log level to "WARN".
    To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
    17/10/13 16:30:48 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
    17/10/13 16:30:48 WARN Utils: Your hostname, localhost resolves to a loopback address: 127.0.0.1; using 10.2.32.96 instead (on interface en0)
    17/10/13 16:30:48 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
    /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/shuffle.py:58: UserWarning: Please install psutil to have better support with spilling
    /Users/a6/Applications/spark-2.1.0-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/shuffle.py:58: UserWarning: Please install psutil to have better support with spilling
    bad: 2
    spark: 3
    mlib: 2
    good: 2
    hadoop: 1
    cool: 2
    Process finished with exit code 0


    5、pySpark学习地址

    (2)在上面解压的文件夹/spark-2.1.0-bin-hadoop2.6/examples/src/main/python中有很多示例代码,可以进行学习,本文中的wordCount就是用的上面的代码小修改版本。

    6、查看Python安装目录及 第三方模块(modules)的安装位置
    因为只要知道python home路径就好办了。


    示例如下:
    
    localhost:python a6$ python
    Python 2.7.10 (default, Feb  7 2017, 00:08:15)
    [GCC 4.2.1 Compatible Apple LLVM 8.0.0 (clang-800.0.34)] on darwin
    Type "help", "copyright", "credits" or "license" for more information.
    >>> import sys
    >>> print sys.path
    ['', '/Library/Python/2.7/site-packages/pip-9.0.1-py2.7.egg', '/Library/Python/2.7/site-packages/py4j-0.10.6-py2.7.egg', '/Library/Python/2.7/site-packages/redis-2.10.6-py2.7.egg', '/Library/Python/2.7/site-packages/MySQL_python-1.2.4-py2.7-macosx-10.12-intel.egg', '/Library/Python/2.7/site-packages/thrift-0.10.0-py2.7-macosx-10.12-intel.egg', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python27.zip', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-darwin', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac/lib-scriptpackages', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-tk', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-old', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload', '/Library/Python/2.7/site-packages', '/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python', '/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/PyObjC’]

    7、Windows安装pySpark,并且在pyCharm中调用例子参见网址:


    展开全文
  • 我已按照包括this、this、this和this在内的各种博客文章中的说明在笔记本电脑上安装pyspark.但是,当我尝试从终端或jupyter笔记本电脑使用pyspark时,我一直收到以下错误.我已经安装了所有必要的软件,如问题底部所示....
  • I wanted to install pyspark on my home machine. I didpip install pysparkpip install jupyterBoth seemed to work well.But when I try to run pyspark I getpysparkCould not find valid SPARK_HOME while sear...
  • Pythonpysparkpyspark的简介、安装、使用方法之详细攻略 目录 pyspark的简介 pyspark安装 pyspark的使用方法 pyspark的简介 Spark是一个用于大规模数据处理的统一分析引擎。它提供Scala、...
  • PythonPySpark安装

    千次阅读 2019-12-13 19:56:36
    小白试了很多方法,直接pip install pyspark失败了,应该是安装包太大了,在anaconda主页上,点击下载安装,界面没有反应,因此就使用了离线下载的方式。 首先pip install时,你可以记录下自己需要下载的版本,然后...
  • Python(pyspark)和Scala连接MongoDB 最近在使用spark读取MongoDB的数据,处理后再存回MongoDB,这里把存取的方式做个小总结。 准备工作 首先需要去Maven库下载连接MongoDB的jar包 Python(pyspark)连接MongoDB 读取...
  • pythonpyspark环境的引入(Mac OS) 1 前提条件 一台Mac OS,安装Pycharm开发软件 2 安装本地python环境 安装本地python环境可以通过2种方式进行安装python包进行安装 anaconda环境进行安装 ...
  • 本文主要向大家介绍了Linux运维知识之PyCharm 远程连接linux中Python ...PySpark in PyCharm on a remote server1、确保remote端Python、spark安装正确2、remote端安装、设置vi /etc/profile添加一行:PYTHONPATH=$S...
  • This is an open repo of all the best practices of writing PySpark that I have learnt from working with the Framework.
  • Python Programming GuideThe Spark Python API (PySpark) exposes the Spark programming model to Python. To learn the basics of Spark, we recommend reading through theScala programming guide first; it sh...
  • PythonPySpark Overview

    2018-09-10 22:07:36
    Backto Python Index
  • pythonpyspark详解

    千次阅读 2020-02-06 17:07:46
    为了更好地进行大数据分析与处理,最近在学习PySpark,整理了一下笔记 ,加深印象。 1 Resilient Distributed Datasets(RDD) 弹性分布式数据集(RDD)是一个不可变的JVM对象的分布式集合,是Spark的基本抽象。 1.1...
  • python调用pyspark的环境配置

    千次阅读 2018-10-09 14:37:36
    1.安装jdk并配置JAVA_HOME以及添加到环境变量中。 2.首先在本地安装spark的运行环境,如果是纯粹使用spark,那么本地可以不配置hadoop_home。...3.使用pyspark之前首先安装python,这里安装python,...
  • 以前在进行搜索引擎rank-svm排序模型训练时,直接使用python读取的HDFS日志文件、统计计算等预处理操作再进行svm...pyspark安装折腾了一上午,这篇文章简述一下unbuntu下如何安装pyspak。 主要过程:1) 安装jd...
  • from pyspark import SparkContext, SparkConf from pyspark.sql import SparkSession import json def getSqlAndSpark(): """ 获取SQL和Spark的对象, SQL的没写,暂时不用 :return: """ spark_conf = ...
  • python连接时需要安装oracle客户端文件,pip安装cx_Oracle。 pyspark需要配置jdbc信息。 1.安装客户端 以下两个安装命令,需要获取服务器的root权限或sudo权限 rpm -ivh oracle-instantclient11.2-basic-11.2.0.4.0-...
  • 一、数据准备 主要用到两个数据文件: action.txt , document.txt 。 下表为 action.txt ,数据格式: userid docid behaivor time ip ,即: 用户编码 文档编码 行为 日期IP地址 下表为 document.txt ,数据格式...
  • spark-py-notebooks:作为IPython Jupyter笔记本的大数据分析和机器学习的Apache Spark&PythonpySpark)教程
  • 推荐在Spark中定义UDF时首选Scala或Java,即使UDFs是用Scala/Java编写的,不用担心,我们依然可以在python(pyspark)中使用它们,简单示例如下: //My_Upper UDF package com.test.spark.udf import org.apache.sp.....
  • Could not find a version that satisfies the requirement matplotlib (from versions: none),尝试无数次后发现是因为服务器无法连接外网,必须手动安装第三方库。 1.查看服务器python版本 输入python ,我这里...
  • 1、确保remote端Python、spark安装正确 2、remote端安装、设置 vi /etc/profile 添加一行:PYTHONPATH=SPARKHOME/python/: SPARK_HOME/python/lib/py4j-0.8.2.1-src.zip source /etc/profile
  • 默认电脑已经安装JAVA1.8和python3.6以上。 (没有安装的搜一下,网上搜一下即可) 下载地址 官网下载: hadoop: spark: 下载最新版(当前最新版本hadoop-3.2.1和spark-3.1.1-bin-hadoop3.2) 添加环境变量 ...
  • 特征量选区:age,enducation,race,sex。...from pyspark.mllib.linalg import Vectors,Vector from pyspark import SparkContext from pyspark.ml.regression import LinearRegression from pyspark.ml.feature i...
  • Spark入门(Python版) Spark1.0.0 多语言编程之python实现 Spark编程指南(python版)进入到spark目录, 然后采用默认的设置运行pyspark ./bin/pyspark 配置master参数,使用4个Worker线程本地化运行Spark...
  • python语言 pyspark中dataframe修改列名

    千次阅读 2017-10-11 11:18:57
    这里给出在spark中对dataframe修改列名。 ... ##########df数据实例 ...有任何问题想跟我交流,请加qq群636866908(Python&大数据)与我联系,或者加qq群456726635(R语言&大数据分析)也可。

空空如也

空空如也

1 2 3 4 5 ... 20
收藏数 17,504
精华内容 7,001
关键字:

python安装pyspark

python 订阅