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Windows 上的单机版安装

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本文以 Spark 2.3.0 为例

>>> 下载下来的文件是 tgz 格式的压缩文件，直接利用压缩软件将其打开，可以看见里面有一个 tar 格式的压缩文件，继续用压缩软件打开，最终如下图所示：

>>> 将其中的 spark-2.3.0-bin-hadoop2.7 文件夹解压，新增 SPARK_HOME 环境变量，设置为解压路径，并将其追加到 PATH 环境变量；

>>> 此时在 cmd 窗口中执行 "spark-shell" 命令可得到如下提示：

C:\Users\Memento>spark-shell2018-06-06 23:39:36 ERROR Shell:397 - Failed to locate the winutils binary in the hadoop binary pathjava.io.IOException: Could not locate executable null\bin\winutils.exe in the Hadoop binaries.        at org.apache.hadoop.util.Shell.getQualifiedBinPath(Shell.java:379)        at org.apache.hadoop.util.Shell.getWinUtilsPath(Shell.java:394)        at org.apache.hadoop.util.Shell.
   
    (Shell.java:387)        at org.apache.hadoop.util.StringUtils.
    
     (StringUtils.java:80)        at org.apache.hadoop.security.SecurityUtil.getAuthenticationMethod(SecurityUtil.java:611)        at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:273)        at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:261)        at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:791)        at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:761)        at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:634)        at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2464)        at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2464)        at scala.Option.getOrElse(Option.scala:121)        at org.apache.spark.util.Utils$.getCurrentUserName(Utils.scala:2464)        at org.apache.spark.SecurityManager.
     
      (SecurityManager.scala:222)        at org.apache.spark.deploy.SparkSubmit$.secMgr$lzycompute$1(SparkSubmit.scala:393)        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$secMgr$1(SparkSubmit.scala:393)        at org.apache.spark.deploy.SparkSubmit$$anonfun$prepareSubmitEnvironment$7.apply(SparkSubmit.scala:401)        at org.apache.spark.deploy.SparkSubmit$$anonfun$prepareSubmitEnvironment$7.apply(SparkSubmit.scala:401)        at scala.Option.map(Option.scala:146)        at org.apache.spark.deploy.SparkSubmit$.prepareSubmitEnvironment(SparkSubmit.scala:400)        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:170)        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:136)        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)2018-06-06 23:39:36 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your 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).Spark context Web UI available at http://Memento-PC:4040Spark context available as 'sc' (master = local[*], app id = local-1528299586814).Spark session available as 'spark'.Welcome to      ____              __     / __/__  ___ _____/ /__    _\ \/ _ \/ _ `/ __/  '_/   /___/ .__/\_,_/_/ /_/\_\   version 2.3.0      /_/Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_151)Type in expressions to have them evaluated.Type :help for more information.
     
    
   

提示说在 hadoop 路径下无法定位到 winutils，所以接下来需要配置 Hadoop；

>>> 详见：

>>> 随后再重新执行 "spark-shell" 命令即可；

By. Memento