关于在cmd启动spark—shell报错

y_lala 2017-01-17 12:13:29
Hadoop lib下已添加对应版本的winutils
cmd输入D:\peizhi\hadoop\bin\winutils.exe chmod 777 /tmp/hive
不能成功启动spark-shell




C:\windows\system32>spark-shell
log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.li
b.MutableMetricsFactory).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more in
fo.
Using Spark's repl log4j profile: org/apache/spark/log4j-defaults-repl.propertie
s
To adjust logging level use sc.setLogLevel("INFO")
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 1.6.2
/_/

Using Scala version 2.10.5 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_111)
Type in expressions to have them evaluated.
Type :help for more information.
Spark context available as sc.
17/01/16 23:55:31 WARN General: Plugin (Bundle) "org.datanucleus.api.jdo" is alr
eady registered. Ensure you dont have multiple JAR versions of the same plugin i
n the classpath. The URL "file:/D:/peizhi/spark-1.6.2-bin-hadoop2.6/bin/../lib/d
atanucleus-api-jdo-3.2.6.jar" is already registered, and you are trying to regis
ter an identical plugin located at URL "file:/D:/peizhi/spark-1.6.2-bin-hadoop2.
6/lib/datanucleus-api-jdo-3.2.6.jar."
17/01/16 23:55:31 WARN General: Plugin (Bundle) "org.datanucleus.store.rdbms" is
already registered. Ensure you dont have multiple JAR versions of the same plug
in in the classpath. The URL "file:/D:/peizhi/spark-1.6.2-bin-hadoop2.6/bin/../l
ib/datanucleus-rdbms-3.2.9.jar" is already registered, and you are trying to reg
ister an identical plugin located at URL "file:/D:/peizhi/spark-1.6.2-bin-hadoop
2.6/lib/datanucleus-rdbms-3.2.9.jar."
17/01/16 23:55:31 WARN General: Plugin (Bundle) "org.datanucleus" is already reg
istered. Ensure you dont have multiple JAR versions of the same plugin in the cl
asspath. The URL "file:/D:/peizhi/spark-1.6.2-bin-hadoop2.6/bin/../lib/datanucle
us-core-3.2.10.jar" is already registered, and you are trying to register an ide
ntical plugin located at URL "file:/D:/peizhi/spark-1.6.2-bin-hadoop2.6/lib/data
nucleus-core-3.2.10.jar."
17/01/16 23:55:31 WARN Connection: BoneCP specified but not present in CLASSPATH
(or one of dependencies)
Mon Jan 16 23:55:32 CST 2017 Thread[main,5,main] java.io.FileNotFoundException:
derby.log (拒绝访问。)
17/01/16 23:55:32 WARN Connection: BoneCP specified but not present in CLASSPATH
(or one of dependencies)
----------------------------------------------------------------
Mon Jan 16 23:55:32 CST 2017:
Booting Derby version The Apache Software Foundation - Apache Derby - 10.10.1.1
- (1458268): instance a816c00e-0159-a7fd-9a8e-000031c748a8
on database directory C:\Users\yyy\AppData\Local\Temp\spark-7698d10c-d60a-4b97-b
834-f25607bb3b62\metastore with class loader sun.misc.Launcher$AppClassLoader@55
f96302
Loaded from file:/D:/peizhi/spark-1.6.2-bin-hadoop2.6/lib/spark-assembly-1.6.2-h
adoop2.6.0.jar
java.vendor=Oracle Corporation
java.runtime.version=1.8.0_111-b14
user.dir=C:\windows\system32
os.name=Windows 8.1
os.arch=amd64
os.version=6.3
derby.system.home=null
Database Class Loader started - derby.database.classpath=''
17/01/16 23:56:00 WARN ObjectStore: Version information not found in metastore.
hive.metastore.schema.verification is not enabled so recording the schema versio
n 1.2.0
17/01/16 23:56:00 WARN ObjectStore: Failed to get database default, returning No
SuchObjectException
java.lang.RuntimeException: java.lang.NullPointerException
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.jav
a:522)
at org.apache.spark.sql.hive.client.ClientWrapper.<init>(ClientWrapper.s
cala:204)
at org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(Is
olatedClientLoader.scala:238)
at org.apache.spark.sql.hive.HiveContext.executionHive$lzycompute(HiveCo
ntext.scala:218)
at org.apache.spark.sql.hive.HiveContext.executionHive(HiveContext.scala
:208)
at org.apache.spark.sql.hive.HiveContext.functionRegistry$lzycompute(Hiv
eContext.scala:462)
at org.apache.spark.sql.hive.HiveContext.functionRegistry(HiveContext.sc
ala: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(NativeConstruct
orAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingC
onstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:10
28)
at $iwC$$iwC.<init>(<console>:15)
at $iwC.<init>(<console>:24)
at <init>(<console>:26)
at .<init>(<console>:30)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.
java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcces
sorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:
1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:
1346)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840
)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:8
57)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.sca
la:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoopInit$$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(SparkILoop
Init.scala:124)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)

at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$Spark
ILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.s
cala:159)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkIL
oopInit.scala:108)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:
64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$Spark
ILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$Spark
ILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$Spark
ILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClass
Loader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$pr
ocess(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.
java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcces
sorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSub
mit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:18
1)
at org.apache.spark.deploy.SparkSubmit$.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$ShellCommandExecutor.execute(Shell.java:
715)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:808)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:791)
at org.apache.hadoop.fs.FileUtil.execCommand(FileUtil.java:1097)
at org.apache.hadoop.fs.RawLocalFileSystem$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(Sess
ionState.java:599)
at org.apache.hadoop.hive.ql.session.SessionState.createSessionDirs(Sess
ionState.java:554)
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.jav
a:508)
... 62 more

<console>:16: error: not found: value sqlContext
import sqlContext.implicits._
^
<console>:16: error: not found: value sqlContext
import sqlContext.sql
...全文
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k_c_u_f 2017-05-18
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好像是缺少包
clay小哈_ 2017-05-17
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我也是这个问题,就在启动的时候,网上看了说是要在启动spark之前启动hadoop,但我还是报错

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