Dear Experts,

Need help to get this resolved -

What am I doing wrong? Any Help greatly appreciated.

Env -
Windows 7 - 64 bit OS
Spark 1.6.0 With Hadoop 2.6 - Pre Built setup
JAVA_HOME - point to 1.7
SCALA_HOME - 2.11

I have Admin User and Standard User on Windows.

All the setups and running of spark is done using the Standard User Acc.

Have Spark setup on D
drive.- D:\Home\Prod_Inst\BigData\Spark\VER_1_6_0_W_H_2_6
Have set Hadoop_Home to point to winutils.exe (64 bit version) on D drive
- D:\Home\Prod_Inst\BigData\Spark\MySparkSetup\winutils

Standard User Acc -  w7-PC\Shaffu_Knowledge
Using Standard User account - created mkdir D:\tmp\hive
Using Standard User account - winutils.exe chmod -R 777 D:\tmp
Using Standard User account - winutils.exe ls D:\tmp and D:\tmp\hive

*drwxrwxrwx 1 w7-PC\Shaffu_Knowledge w7-PC\None 0 Apr 12 2016 \tmp*
*drwxrwxrwx 1 w7-PC\Shaffu_Knowledge w7-PC\None 0 Apr 12 2016 \tmp\hive*

Running spark-shell results in the following exception

D:\Home\Prod_Inst\BigData\Spark\VER_1_6_0_W_H_2_6>./bin/spark-shell
'.' is not recognized as an internal or external command,
operable program or batch file.

D:\Home\Prod_Inst\BigData\Spark\VER_1_6_0_W_H_2_6>.\bin\spark-shell
16/04/12 14:40:16 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 1.6.0
      /_/

Using Scala version 2.10.5 (Java HotSpot(TM) 64-Bit Server VM, Java
1.7.0_25)
Type in expressions to have them evaluated.
Type :help for more information.
Spark context available as sc.
16/04/12 14:40:22 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:/D:/Home/Prod_Inst/BigData/Spark/VER_1_6_0_W_H_2_6/lib/
16/04/12 14:40:22 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:/D:/Home/Prod_Inst/BigData/Spark/VER_1_6_0_W_H_2_6/bin/../lib/datan
16/04/12 14:40:22 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:/D:/Home/Prod_Inst/BigData/Spark/VER_1_6_0_W_H_2_6/bin/../l
16/04/12 14:40:22 WARN Connection: BoneCP specified but not present in
CLASSPATH (or one of dependencies)
16/04/12 14:40:23 WARN Connection: BoneCP specified but not present in
CLASSPATH (or one of dependencies)
16/04/12 14:40:38 WARN ObjectStore: Version information not found in
metastore. hive.metastore.schema.verification is not enabled so recording
the schema version 1.2.0
16/04/12 14:40:38 WARN ObjectStore: Failed to get database default,
returning NoSuchObjectException
16/04/12 14:40:39 WARN : Your hostname, w7-PC resolves to a
loopback/non-reachable address: fe80:0:0:0:8d4f:1fa9:cf7d:23d0%17, but we
couldn't find any external IP address!
j*ava.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:194)
        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:57)
        at
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
        at
org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1028)
        at $iwC$$iwC.<init>(<console>:15)
        at $iwC.<init>(<console>:24)
        at <init>(<console>:26)
        at .<init>(<console>:30)
        at .<clinit>(<console>)
        at .<init>(<console>:7)
        at .<clinit>(<console>)
        at $print(<console>)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at
org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
        at
org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
        at
org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
        at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
        at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
        at
org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
        at
org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
        at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
        at
org.apache.spark.repl.SparkILoopInit$$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$$process(SparkILoop.scala:945)
        at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
        at org.apache.spark.repl.Main$.main(Main.scala:31)
        at org.apache.spark.repl.Main.main(Main.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$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
                ^
scala>


Thanks in Advance,
Harry

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