-2
Python 3.5.2 |Anaconda 4.1.1 (x86_64)| (default, Jul 2 2016, 17:52:12)
[GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)] on darwin
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).
17/01/08 15:27:58 WARN SparkContext: Support for Java 7 is deprecated as of Spark 2.0.0
17/01/08 15:28:03 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/01/08 15:28:08 WARN SparkContext: Another SparkContext is being constructed (or threw an exception in its constructor). This may indicate an error, since only one SparkContext may be running in this JVM (see SPARK-2243). The other SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
java.lang.reflect.Constructor.newInstance(Constructor.java:526)
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
py4j.Gateway.invoke(Gateway.java:236)
py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
py4j.GatewayConnection.run(GatewayConnection.java:214)
java.lang.Thread.run(Thread.java:745)
17/01/08 15:28:08 WARN SparkContext: Support for Java 7 is deprecated as of Spark 2.0.0
Traceback (most recent call last):
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/shell.py", line 43, in <module>
spark = SparkSession.builder\
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/sql/session.py", line 169, in getOrCreate
sc = SparkContext.getOrCreate(sparkConf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 307, in getOrCreate
SparkContext(conf=conf or SparkConf())
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 118, in __init__
conf, jsc, profiler_cls)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 179, in _do_init
self._jsc = jsc or self._initialize_context(self._conf._jconf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 246, in _initialize_context
return self._jvm.JavaSparkContext(jconf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1401, in __call__
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/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 None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.ExceptionInInitializerError
at org.apache.spark.SparkContext.<init>(SparkContext.scala:397)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
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:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:236)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.UnknownHostException: Chenhuis-MacBook-Pro.local: Chenhuis-MacBook-Pro.local: nodename nor servname provided, or not known
at java.net.InetAddress.getLocalHost(InetAddress.java:1475)
at org.apache.spark.util.Utils$.findLocalInetAddress(Utils.scala:870)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress$lzycompute(Utils.scala:863)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress(Utils.scala:863)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:920)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:920)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.util.Utils$.localHostName(Utils.scala:920)
at org.apache.spark.internal.config.package$.<init>(package.scala:189)
at org.apache.spark.internal.config.package$.<clinit>(package.scala)
... 13 more
Caused by: java.net.UnknownHostException: Chenhuis-MacBook-Pro.local: nodename nor servname provided, or not known
at java.net.Inet6AddressImpl.lookupAllHostAddr(Native Method)
at java.net.InetAddress$1.lookupAllHostAddr(InetAddress.java:901)
at java.net.InetAddress.getAddressesFromNameService(InetAddress.java:1295)
at java.net.InetAddress.getLocalHost(InetAddress.java:1471)
... 22 more
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/shell.py", line 47, in <module>
spark = SparkSession.builder.getOrCreate()
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/sql/session.py", line 169, in getOrCreate
sc = SparkContext.getOrCreate(sparkConf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 307, in getOrCreate
SparkContext(conf=conf or SparkConf())
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 118, in __init__
conf, jsc, profiler_cls)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 179, in _do_init
self._jsc = jsc or self._initialize_context(self._conf._jconf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 246, in _initialize_context
return self._jvm.JavaSparkContext(jconf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1401, in __call__
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.NoClassDefFoundError: Could not initialize class org.apache.spark.internal.config.package$
at org.apache.spark.SparkContext.<init>(SparkContext.scala:397)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
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:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:236)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:745)
ウェブサイトからSparkをダウンロードしても、コンピュータで正しく処理できませんでした...私は何もせず、/ bin/pysparkを開いています。スパークのインストール時にかなりのエラーが発生する
オンラインで長時間の解決方法を検索し、結果はありません。
"Spark JARをビルドする"必要はありますか？
あなたのコンピュータにはどのOSがありますか？あなたはスパークをインストールするために何をしましたか？あなたが添付したエラーを引き起こす何を実行しましたか？ – Yaron
あなたはMacBookにいるようです。次の手順を試しましたか？ http://genomegeek.blogspot.co.uk/2014/11/how-to-install-apache-spark-on-mac-os-x.html homebrew：_brew install apache-spark_ –
@ Yaron質問の詳細を指摘してくれてありがとう！質問が役に立ちましたら、私のシステムはSierraです。私はただ火花をダウンロードしてインストールし、何もしなかった。 – Cody