火花安装

时间：2016-06-28 21:24:02

标签： scala apache-spark

我是新手，试图在Windows 7 Enterprise系统上安装spark。我已经完成了所有步骤，比如环境变量，也安装了scala。我采用了最新的spark-1.6.2-bin-hadoop2.6版火花。安装后，当我运行bin \ spark-shell时。我觉得它运行良好，但我看到一些警告是这样的。我也安装了java。

我为这里的长异常错误道歉。任何有关这方面的帮助都会非常有帮助。

C：\ windows \ system32＆gt; java -version java版“1.8.0_92” Java（TM）SE运行时环境（版本1.8.0_92-b14） Java HotSpot（TM）64位服务器VM（版本25.92-b14，混合模式）

16/06/28 17:18:53 WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 1.2.0
16/06/28 17:18:53 WARN ObjectStore: Failed to get database default, returning NoSuchObjectException
java.lang.RuntimeException: java.lang.NullPointerException
        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:423)
        at org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1028)
        at $iwC$$iwC.<init>(<console>:15)
        at $iwC.<init>(<console>:24)
        at <init>(<console>:26)
        at .<init>(<console>:30)
        at .<clinit>(<console>)
        at .<init>(<console>:7)
        at .<clinit>(<console>)
        at $print(<console>)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
        at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
        at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
        at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
        at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
        at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
        at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
        at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
        at org.apache.spark.repl.SparkILoopInit$$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$$process(SparkILoop.scala:945)
        at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
        at org.apache.spark.repl.Main$.main(Main.scala:31)
        at org.apache.spark.repl.Main.main(Main.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$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$.main(SparkSubmit.scala:121)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.NullPointerException
        at java.lang.ProcessBuilder.start(ProcessBuilder.java:1012)
        at org.apache.hadoop.util.Shell.runCommand(Shell.java:482)
        at org.apache.hadoop.util.Shell.run(Shell.java:455)
        at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715)
        at org.apache.hadoop.util.Shell.execCommand(Shell.java:808)
        at org.apache.hadoop.util.Shell.execCommand(Shell.java:791)
        at org.apache.hadoop.fs.FileUtil.execCommand(FileUtil.java:1097)
        at org.apache.hadoop.fs.RawLocalFileSystem$DeprecatedRawLocalFileStatus.loadPermissionInfo(RawLocalFileSystem.java:582)
        at org.apache.hadoop.fs.RawLocalFileSystem$DeprecatedRawLocalFileStatus.getPermission(RawLocalFileSystem.java:557)
        at org.apache.hadoop.hive.ql.session.SessionState.createRootHDFSDir(SessionState.java:599)
        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

4 个答案:

答案 0 :(得分：2)

Spark重用hive的元存储。因此Spark需要hive站点配置。如果找不到hive站点配置，将报告该错误。

复制配置hive-site.xml并重新启动spark-shell。

在CDH中

可以使用以下命令完成。 

cp /etc/hive/conf/hive-site.xml /etc/spark/conf/

答案 1 :(得分：0)

除了上面下载winutils.exe并将其复制到％HADOOP_HOME％/ Bin 并设置权限：

  winutils.exe chmod 777 "C:\tmp\hive

如果您要使用Jupiter Notebook（pyspark的漂亮工具），这将有所帮助。

答案 2 :(得分：0)

我在窗户上运行火花时经历了很多痛苦。最后它工作正常，我不需要上述任何一个 - winutils，全局变量或C：\ tmp \ hive。我甚至不能在Windows上拥有管理员权限。

Windows上的Spark通常会抛出异常bc它无法找到hive和hadoop，但是取决于你的任务，你需要导入相应的库。启动后立即导入sqlContext 

    val sqlContext = new org.apache.spark.sql.SQLContext(sc)
    import sqlContext.implicits._
    import sqlContext.sql

顺便说一句，我在没有winutils的木星中使用pyspark，只是在本地告诉python里面有火花。

答案 3 :(得分：0)

我相信您正在尝试使用SQLContext访问配置单元。它爆炸了，因为SQLContext未成功初始化。这些是常见的Metastore问题。

你需要，

1）在hive-site.xml路径创建SPARK_HOME/conf/文件并启用它以使用MySql作为其Metastore而不是Derby。

2）使用SQLContext对象，而不是使用HiveContext来访问配置单元表。

毋庸置疑，这是Spark 1.x.x的旧帖子。在Spark 2.x.x中，已经进行了大量的API改进，并且SparkSql和Hive操作只有一个入口点，称为SparkSession。这就像是，

val ss = SparkSession
      .builder()
      .appName("test")
      .master("local[2]")
      .enableHiveSupport()
      .getOrCreate()

如果这有帮助，请告诉我。欢呼声。

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