Spark Windows安装Java错误

我继续从这个问题 – winutils的火花窗口安装 – 我知道这个线程 – 如何启动在Windows上的Spark应用程序（又名为什么火花失败，NullPointerException）？ – ，但我还没有find任何解决我的问题呢。

我也知道，已经build议使用maven或sbt从源代码构buildspark。 我不想这样做，因为很多人不会从源头上build立火花，对他们来说工作得很好。

到目前为止，我已经设置了以下环境variables…

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 

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：更改winutils的path后，更新错误消息是叶目录“bin”之外。

有没有人有什么build议？

 winutils.exe chmod 777 \tmp\hive 

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