Question

我想使用pyspark在本地计算机上运行Spark。从here我使用命令：

sbt/sbt assembly
$ ./bin/pyspark

安装完成，但pyspark无法运行，导致以下错误（完整）：

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 <module>
    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.<init>(SparkContext.scala:124)
    at org.apache.spark.api.java.JavaSparkContext.<init>(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

任何想法我做错了什么？我不知道IP地址138.7.100.10的来源。使用（或不使用）MAMP创建localhost时出现此错误。提前谢谢！

Answer 1

正确的解决方案是将SPARK_LOCAL_IP环境变量设置为localhost或您的主机名。

Answer 2

我遇到了与Spark相同的问题，它与您的笔记本电脑IP有关。

我的解决方案：

sudo / etc / hosts

以下

127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4

添加

127.0.0.1 LAPTOPNAME

你的LAPTOPNAME可以在你的终端上找到它 root @LAPTOPNAME（在安装过程中设置的任何一个）

它将与Java1.7一起运行

Answer 3

我发现，我使用的Java版本是1.7。我正在使用Macbook Air，运行10.9.2

$ java -version

给了我：

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)

要降级到1.6：

$ cd /Library/Java/JavaVirtualMachines
$ ls

返回：

jdk1.7.0_25.jdk

要删除该文件（并降级java并修复我的问题）：

$ sudo rm -rf jdk1.7.0_25.jdk

然后我有：

$ java -version

给出了输出：

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)

最后，我能够运行Spark：

$ ./bin/pyspark

一切都很开心：

Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /__ / .__/\_,_/_/ /_/\_\   version 0.9.1
      /_/

无法安装Pyspark

3 个答案: