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https://issues.apache.org/jira/browse/SPARK-6171?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14347899#comment-14347899
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Andrew Or commented on SPARK-6171:
----------------------------------
Closing as cannot reproduced. It must have been something wrong with my
environment...
> No class def found for HiveConf in Spark shell
> ----------------------------------------------
>
> Key: SPARK-6171
> URL: https://issues.apache.org/jira/browse/SPARK-6171
> Project: Spark
> Issue Type: Bug
> Components: Spark Shell, SQL
> Affects Versions: 1.3.0
> Reporter: Andrew Or
> Assignee: Michael Armbrust
> Priority: Blocker
>
> I ran `build/sbt clean assembly` and then started the Spark shell, then I hit
> this huge stack trace. I didn't enable hive in my build, but I wasn't
> planning on using SQL either. I can still run Spark jobs no problem, but we
> probably shouldn't be throwing this on a clean build.
> {code}
> 15/03/04 14:09:15 INFO SparkILoop: Created spark context..
> Spark context available as sc.
> java.lang.NoClassDefFoundError: org/apache/hadoop/hive/conf/HiveConf
> at java.lang.Class.getDeclaredConstructors0(Native Method)
> at java.lang.Class.privateGetDeclaredConstructors(Class.java:2493)
> at java.lang.Class.getConstructor0(Class.java:2803)
> at java.lang.Class.getConstructor(Class.java:1718)
> at
> org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1026)
> at $iwC$$iwC.<init>(<console>:9)
> at $iwC.<init>(<console>:18)
> at <init>(<console>:20)
> at .<init>(<console>:24)
> 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(SparkI
> {code}
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