Codes/46.Spark Python开发环境的搭建方法.ipynb

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   "source": [
    "# 46.Spark Python开发环境的搭建过程"
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   "source": [
    "## 46.1 安装Anaconda"
   ]
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   "outputs": [],
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Anaconda官网](anaconda.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
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   "source": [
    "![勾选两个系统路径](install_anaconda.jpg)"
   ]
  },
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   "execution_count": 4,
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   "source": [
    "* 测试Python：python\n",
    "![测试Python](cmd_python.jpg)\n",
    "* 测试conda：conda -h\n",
    "![测试conda](cmd_conda.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 46.2 安装配置Java"
   ]
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   "execution_count": 5,
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    "collapsed": true
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   "outputs": [],
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![下载jdk8](java.jpg)"
   ]
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   "execution_count": 6,
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   "execution_count": 8,
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   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![配置JAVA_HOME](java_home.jpg)"
   ]
  },
  {
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   "execution_count": 9,
   "metadata": {
    "collapsed": true
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   "outputs": [],
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![配置CLASSPATH](classpath.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
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   "outputs": [],
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![查看java版本信息](cmd_java.jpg)"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 46.3 安装配置Spark"
   ]
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  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Spark官网](spark.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![spark存放路径](dir_spark.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![配置SPARK_HOME](spark_home.jpg)\n",
    "    "
   ]
  },
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   "cell_type": "code",
   "execution_count": 14,
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   "outputs": [],
   "source": [
    " "
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![加入PATH](path_spark.jpg)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 15,
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   "outputs": [],
   "source": [
    " "
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   "metadata": {},
   "source": [
    "![修改命令行日志级别](warn_spark.jpg)"
   ]
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   "metadata": {},
   "source": [
    "## 46.4 安装与配置hadoop依赖"
   ]
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   "cell_type": "code",
   "execution_count": 16,
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   "metadata": {},
   "source": [
    "![hadoop_home](dir_hadoop.jpg)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
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   "outputs": [],
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![配置hadoop home](hadoop_home.jpg)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
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   "source": [
    "![加入PATH](path_hadoop.jpg)"
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   "metadata": {},
   "source": [
    "## 46.5测试Spark"
   ]
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  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
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   "outputs": [],
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![测试spark shell](spark_shell.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![测试pyspark](pyspark.jpg)"
   ]
  }
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