我继续上一个问题的问题 - winutils spark windows installation - 我知道这个线程 - How to start Spark applications on Windows (aka Why Spark fails with NullPointerException)? -，但我还没有找到任何可以解决我的问题的方法。

我也知道有人建议使用 maven 或 sbt 从源代码构建 spark。我还不想这样做，因为很多人不会从源代码构建 spark 并且它对他们来说很好用。

到目前为止，我已经设置了以下环境变量...

set _JAVA_OPTIONS=-Xmx512M -Xms512M
set _JAVA_OPTION=-Xmx512M -Xms512M
set SPARK_HOME=C:\spark\spark161binhadoop26\bin
set JAVA_HOME=C:\Program Files\Java\jdk1.8.0_51

::this used to be C:\winutils, but I moved it based on a suggestion
set HADOOP_HOME=C:\spark\spark161binhadoop26\bin

::the scala version here is 2.11.8
set SCALA_HOME=C:\scala\bin

::trying to get through the last warning. The one regarding no IP address
set SPARK_LOCAL_HOSTNAME=localhost

并且我已经运行了命令(从 winutils 的目录)

>winutils.exe chmod 777 /tmp/hive

我得到的错误是

Picked up _JAVA_OPTIONS: -Xmx512M -Xms512M
Picked up _JAVA_OPTIONS: -Xmx512M -Xms512M
log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Using Spark's repl log4j profile: org/apache/spark/log4j-defaults-repl.properties
To adjust logging level use sc.setLogLevel("INFO")
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 1.6.1
      /_/

Using Scala version 2.10.5 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_51)
Type in expressions to have them evaluated.
Type :help for more information.
Spark context available as sc.
16/05/19 17:30:21 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/spark161binhadoop26/bin/../lib/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/spark161binhadoop26/lib/datanucleus-api-jdo-3.2.6.jar."
16/05/19 17:30:21 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/spark161binhadoop26/bin/../lib/datanucleus-rdbms-3.2.9.jar" is already registered, and you are trying to register an identical plugin located at URL "file:/C:/spark/spark161binhadoop26/lib/datanucleus-rdbms-3.2.9.jar."
16/05/19 17:30:21 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/spark161binhadoop26/lib/datanucleus-core-3.2.10.jar" is already registered, and you are trying to register an identical plugin located at URL "file:/C:/spark/spark161binhadoop26/bin/../lib/datanucleus-core-3.2.10.jar."
16/05/19 17:30:21 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
16/05/19 17:30:21 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
16/05/19 17:31:17 WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 1.2.0
16/05/19 17:31:17 WARN ObjectStore: Failed to get database default, returning NoSuchObjectException
16/05/19 17:31:18 WARN : Your hostname, DELE5450-16 resolves to a loopback/non-reachable address: fe80:0:0:0:4c1a:cec3:2cd3:a90a%eth13, but we couldn't find any external IP address!
java.lang.RuntimeException: java.lang.RuntimeException: The root scratch dir: /tmp/hive on HDFS should be writable. Current permissions are: rw-rw-rw-
        at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522)
        at org.apache.spark.sql.hive.client.ClientWrapper.<init>(ClientWrapper.scala:204)
        at org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:238)
        at org.apache.spark.sql.hive.HiveContext.executionHive$lzycompute(HiveContext.scala:218)
        at org.apache.spark.sql.hive.HiveContext.executionHive(HiveContext.scala:208)
        at org.apache.spark.sql.hive.HiveContext.functionRegistry$lzycompute(HiveContext.scala:462)
        at org.apache.spark.sql.hive.HiveContext.functionRegistry(HiveContext.scala:461)
        at org.apache.spark.sql.UDFRegistration.<init>(UDFRegistration.scala:40)
        at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:330)
        at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:90)
        at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:101)
        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:422)
        at org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1028)
        at $iwC$$iwC.<init>(<console>:15)
        at $iwC.<init>(<console>:24)
        at <init>(<console>:26)
        at .<init>(<console>:30)
        at .<clinit>(<console>)
        at .<init>(<console>:7)
        at .<clinit>(<console>)
        at $print(<console>)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:497)
        at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
        at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
        at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
        at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
        at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
        at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
        at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
        at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
        at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:132)
        at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
        at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
        at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
        at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
        at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
        at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
        at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
        at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
        at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
        at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991)
        at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
        at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
        at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
        at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
        at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
        at org.apache.spark.repl.Main$.main(Main.scala:31)
        at org.apache.spark.repl.Main.main(Main.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:497)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.RuntimeException: The root scratch dir: /tmp/hive on HDFS should be writable. Current permissions are: rw-rw-rw-
        at org.apache.hadoop.hive.ql.session.SessionState.createRootHDFSDir(SessionState.java:612)
        at org.apache.hadoop.hive.ql.session.SessionState.createSessionDirs(SessionState.java:554)
        at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:508)
        ... 62 more

<console>:16: error: not found: value sqlContext
         import sqlContext.implicits._
                ^
<console>:16: error: not found: value sqlContext
         import sqlContext.sql

编辑:我在将 winutils 的路径更改为叶目录“bin”之外后更新了错误消息。

有人有什么建议吗？

最佳答案

正如 Psidom 在评论中提到的:

winutils.exe chmod 777 \tmp\hive

是纠正/tmp/hive 上的权限问题的正确方法，它会触发初始错误:

java.lang.RuntimeException: java.lang.RuntimeException: The root scratch dir: /tmp/hive on HDFS should be writable. Current permissions are: rw-rw-rw-

(假设路径中有 winutils.exe)

关于windows - Spark Windows 安装 Java 报错，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/37334757/