我已经在 Windows 10 上安装了 Apache Spark 2.1.1,Java 1.8 和 Python 版本 3.6 Anaconda 4.3.1。我还下载了 JAVA_HOME、HADOOP_HOME 和 SPARK_HOME 的 winutils.exe 和设置环境变量,并更新了路径变量。我还运行了 winutils.exe chmod -R 777\tmp\hive。但是在 cmd 提示符下运行 pyspark 时出现以下错误。
请有人帮忙,如果我遗漏了任何重要细节,请告诉我
提前致谢!
c:\Spark>bin\pyspark
Python 3.6.0 |Anaconda 4.3.1 (64-bit)| (default, Dec 23 2016, 11:57:41) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
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).
Traceback (most recent call last):
File "c:\Spark\python\pyspark\sql\utils.py", line 63, in deco
return f(*a, **kw)
File "c:\Spark\python\lib\py4j-0.10.4-src.zip\py4j\protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: **An error occurred while calling o22.sessionState.
: java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveSessionState':**
at org.apache.spark.sql.SparkSession$.org$apache$spark$sql$SparkSession$$reflect(SparkSession.scala:981)
at org.apache.spark.sql.SparkSession.sessionState$lzycompute(SparkSession.scala:110)
at org.apache.spark.sql.SparkSession.sessionState(SparkSession.scala:109)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
我在启动 [spark-shell] 时仍然遇到错误,但自从我收到“欢迎使用 Spark”消息后,看起来 Spark 已启动。我得到的错误是
C:\Spark>bin\spark-shell
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).
17/06/23 12:20:15 WARN General: Plugin (Bundle) "org.datanucleus.api.jdo" is already registered. Ensure you dont have multiple JAR versions of the same plugin in the classpath. The URL "file:/C:/Spark/jars/datanucleus-api-jdo-3.2.6.jar" is already registered, and you are trying to register an identical plugin located at URL "file:/C:/Spark/bin/../jars/datanucleus-api-jdo-3.2.6.jar."
17/06/23 12:20:15 WARN General: Plugin (Bundle) "org.datanucleus.store.rdbms" is already registered. Ensure you dont have multiple JAR versions of the same plugin in the classpath. The URL "file:/C:/Spark/jars/datanucleus-rdbms-3.2.9.jar" is already registered, and you are trying to register an identical plugin located at URL "file:/C:/Spark/bin/../jars/datanucleus-rdbms-3.2.9.jar."
17/06/23 12:20:15 WARN General: Plugin (Bundle) "org.datanucleus" is already registered. Ensure you dont have multiple JAR versions of the same plugin in the classpath. The URL "file:/C:/Spark/bin/../jars/datanucleus-core-3.2.10.jar" is already registered, and you are trying to register an identical plugin located at URL "file:/C:/Spark/jars/datanucleus-core-3.2.10.jar."
java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveSessionState':
at org.apache.spark.sql.SparkSession$.org$apache$spark$sql$SparkSession$$reflect(SparkSession.scala:981)
at org.apache.spark.sql.SparkSession.sessionState$lzycompute(SparkSession.scala:110)
at org.apache.spark.sql.SparkSession.sessionState(SparkSession.scala:109)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$getOrCreate$5.apply(SparkSession.scala:878)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$getOrCreate$5.apply(SparkSession.scala:878)
at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:99)
at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:99)
at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:230)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
at scala.collection.mutable.HashMap.foreach(HashMap.scala:99)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:878)
at org.apache.spark.repl.Main$.createSparkSession(Main.scala:96)
... 47 elided
Caused by: java.lang.reflect.InvocationTargetException:
java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveExternalCatalog':
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.spark.sql.SparkSession$.org$apache$spark$sql$SparkSession$$reflect(SparkSession.scala:978)
... 58 more
Caused by: java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveExternalCatalog':
at org.apache.spark.sql.internal.SharedState$.org$apache$spark$sql$internal$SharedState$$reflect(SharedState.scala:169)
at org.apache.spark.sql.internal.SharedState.<init>(SharedState.scala:86)
at org.apache.spark.sql.SparkSession$$anonfun$sharedState$1.apply(SparkSession.scala:101)
at org.apache.spark.sql.SparkSession$$anonfun$sharedState$1.apply(SparkSession.scala:101)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.SparkSession.sharedState$lzycompute(SparkSession.scala:101)
at org.apache.spark.sql.SparkSession.sharedState(SparkSession.scala:100)
at org.apache.spark.sql.internal.SessionState.<init>(SessionState.scala:157)
at org.apache.spark.sql.hive.HiveSessionState.<init>(HiveSessionState.scala:32)
... 63 more
Caused by: java.lang.reflect.InvocationTargetException: java.lang.reflect.InvocationTargetException: java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.createDirectoryWithMode0(Ljava/lang/String;I)V
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.spark.sql.internal.SharedState$.org$apache$spark$sql$internal$SharedState$$reflect(SharedState.scala:166)
... 71 more
Caused by: java.lang.reflect.InvocationTargetException:
java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.createDirectoryWithMode0(Ljava/lang/String;I)V
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:264)
at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:358)
at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:262)
at org.apache.spark.sql.hive.HiveExternalCatalog.<init>(HiveExternalCatalog.scala:66)
... 76 more
Caused by: java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.createDirectoryWithMode0(Ljava/lang/String;I)V
at org.apache.hadoop.io.nativeio.NativeIO$Windows.createDirectoryWithMode0(Native Method)
at org.apache.hadoop.io.nativeio.NativeIO$Windows.createDirectoryWithMode(NativeIO.java:524)
at org.apache.hadoop.fs.RawLocalFileSystem.mkOneDirWithMode(RawLocalFileSystem.java:478)
at org.apache.hadoop.fs.RawLocalFileSystem.mkdirsWithOptionalPermission(RawLocalFileSystem.java:532)
at org.apache.hadoop.fs.RawLocalFileSystem.mkdirs(RawLocalFileSystem.java:509)
at org.apache.hadoop.fs.FilterFileSystem.mkdirs(FilterFileSystem.java:305)
at org.apache.hadoop.hive.ql.session.SessionState.createPath(SessionState.java:639)
at org.apache.hadoop.hive.ql.session.SessionState.createSessionDirs(SessionState.java:561)
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:508)
at org.apache.spark.sql.hive.client.HiveClientImpl.<init>(HiveClientImpl.scala:188)
... 84 more
14: error: not found: value spark
import spark.implicits._
^
14: error: not found: value spark
import spark.sql
^
Welcome to
最佳答案
对我有用的设置如下“我没有使用 winutils.exe”:- 使用“Anaconda 命令提示符”安装 pyspark 和 findspark
pip3 install pyspark
和
pip3 install findspark
因为您已经下载了 spark 安装程序。解压缩并将其保存在“C”驱动器中,即“C:\spark-2.2.0-bin-hadoop2.7”并创建新的环境变量“SPARK_HOME”并将其设置为“C:\spark-2.2.0-bin” -hadoop2.7\bin”并在系统变量中打开“path”变量并在那里添加相同的内容。 现在打开命令提示符,通过执行 cd.. 两次从“C:\User*”转到“C:\”,然后运行以下命令
set SPARK_HOME='spark-2.2.0-bin-hadoop2.7'
然后你就可以开始了。 现在,您只需在 jupyter notebook 中导入 pyspark 之前导入文件位置。使用以下代码:-
import findspark
findspark.init('C:\spark-2.2.0-bin-hadoop2.7')
import pyspark
关于java - 无法在 Windows 10 上设置 Apache Spark 2.1.1,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/44702673/
我有一个Ruby程序,它使用rubyzip压缩XML文件的目录树。gem。我的问题是文件开始变得很重,我想提高压缩级别,因为压缩时间不是问题。我在rubyzipdocumentation中找不到一种为创建的ZIP文件指定压缩级别的方法。有人知道如何更改此设置吗?是否有另一个允许指定压缩级别的Ruby库? 最佳答案 这是我通过查看rubyzip内部创建的代码。level=Zlib::BEST_COMPRESSIONZip::ZipOutputStream.open(zip_file)do|zip|Dir.glob("**/*")d
我需要在客户计算机上运行Ruby应用程序。通常需要几天才能完成(复制大备份文件)。问题是如果启用sleep,它会中断应用程序。否则,计算机将持续运行数周,直到我下次访问为止。有什么方法可以防止执行期间休眠并让Windows在执行后休眠吗?欢迎任何疯狂的想法;-) 最佳答案 Here建议使用SetThreadExecutionStateWinAPI函数,使应用程序能够通知系统它正在使用中,从而防止系统在应用程序运行时进入休眠状态或关闭显示。像这样的东西:require'Win32API'ES_AWAYMODE_REQUIRED=0x0
我在从html页面生成PDF时遇到问题。我正在使用PDFkit。在安装它的过程中,我注意到我需要wkhtmltopdf。所以我也安装了它。我做了PDFkit的文档所说的一切......现在我在尝试加载PDF时遇到了这个错误。这里是错误:commandfailed:"/usr/local/bin/wkhtmltopdf""--margin-right""0.75in""--page-size""Letter""--margin-top""0.75in""--margin-bottom""0.75in""--encoding""UTF-8""--margin-left""0.75in""-
我在使用omniauth/openid时遇到了一些麻烦。在尝试进行身份验证时,我在日志中发现了这一点:OpenID::FetchingError:Errorfetchinghttps://www.google.com/accounts/o8/.well-known/host-meta?hd=profiles.google.com%2Fmy_username:undefinedmethod`io'fornil:NilClass重要的是undefinedmethodio'fornil:NilClass来自openid/fetchers.rb,在下面的代码片段中:moduleNetclass
我对最新版本的Rails有疑问。我创建了一个新应用程序(railsnewMyProject),但我没有脚本/生成,只有脚本/rails,当我输入ruby./script/railsgeneratepluginmy_plugin"Couldnotfindgeneratorplugin.".你知道如何生成插件模板吗?没有这个命令可以创建插件吗?PS:我正在使用Rails3.2.1和ruby1.8.7[universal-darwin11.0] 最佳答案 随着Rails3.2.0的发布,插件生成器已经被移除。查看变更日志here.现在
我尝试运行2.x应用程序。我使用rvm并为此应用程序设置其他版本的ruby:$rvmuseree-1.8.7-head我尝试运行服务器,然后出现很多错误:$script/serverNOTE:Gem.source_indexisdeprecated,useSpecification.Itwillberemovedonorafter2011-11-01.Gem.source_indexcalledfrom/Users/serg/rails_projects_terminal/work_proj/spohelp/config/../vendor/rails/railties/lib/r
我正在查看instance_variable_set的文档并看到给出的示例代码是这样做的:obj.instance_variable_set(:@instnc_var,"valuefortheinstancevariable")然后允许您在类的任何实例方法中以@instnc_var的形式访问该变量。我想知道为什么在@instnc_var之前需要一个冒号:。冒号有什么作用? 最佳答案 我的第一直觉是告诉你不要使用instance_variable_set除非你真的知道你用它做什么。它本质上是一种元编程工具或绕过实例变量可见性的黑客攻击
我正在尝试在我的centos服务器上安装therubyracer,但遇到了麻烦。$geminstalltherubyracerBuildingnativeextensions.Thiscouldtakeawhile...ERROR:Errorinstallingtherubyracer:ERROR:Failedtobuildgemnativeextension./usr/local/rvm/rubies/ruby-1.9.3-p125/bin/rubyextconf.rbcheckingformain()in-lpthread...yescheckingforv8.h...no***e
我花了三天的时间用头撞墙,试图弄清楚为什么简单的“rake”不能通过我的规范文件。如果您遇到这种情况:任何文件夹路径中都不要有空格!。严重地。事实上,从现在开始,您命名的任何内容都没有空格。这是我的控制台输出:(在/Users/*****/Desktop/LearningRuby/learn_ruby)$rake/Users/*******/Desktop/LearningRuby/learn_ruby/00_hello/hello_spec.rb:116:in`require':cannotloadsuchfile--hello(LoadError) 最佳
我真的很习惯使用Ruby编写以下代码:my_hash={}my_hash['test']=1Java中对应的数据结构是什么? 最佳答案 HashMapmap=newHashMap();map.put("test",1);我假设? 关于java-等价于Java中的RubyHash,我们在StackOverflow上找到一个类似的问题: https://stackoverflow.com/questions/22737685/