我的问题是：
我们将Cloudera5.7.0与Java1.8.0结合使用，我们有spark 1.6.0、janusgraph 0.1.1和hbase 1.2.0。
我在gremlin shell中运行以下代码：

:load data/call-janusgraph-schema-groovy
writeGraphPath='conf/my-janusgraph-hbase.properties'
writeGraph=JanusGraphFactory.open(writeGraphPath)
defineCallSchema(writeGraph)
writeGraph.close()

readGraph=GraphFactory.open('conf/hadoop-graph/hadoop-call-script.properties')
gRead=readGraph.traversal()
gRead.V().valueMap()

//so far so good everything works perfectly

blvp=BulkLoaderVertexProgram.build().keepOriginalIds(true).writeGraph(writeGraphPath).create(readGraph)
readGraph.compute(SparkGraphComputer).workers(1).program(blvp).submit().get()

它开始执行spark作业，第一阶段运行平稳，但是在第二阶段我遇到了一个异常：

java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.createStarted()Lcom/google/common/base/Stopwatch;
at org.janusgraph.graphdb.database.idassigner.StandarIdPool.waitForIDBlockGetter(StandartIDPool.java:136).......

我认为这是Guava版本的问题
下面是我如何启动小精灵外壳

# !/bin/bash

export JAVA_HOME=/mnt/hdfs/jdk.1.8.0_74

export HADOOP_HOME=/opt/cloudera/parcels/CDH-5.7.0-1.cdh5.7.0.p0.45/lib/hadoop
export HADOOP_CONF_DIR= /etc/hadoop/conf.cloudera.yarn
export YARN_HOME=/opt/cloudera/parcels/CDH-5.7.0-1.cdh5.7.0.p0.45/lib/hadoop-yarn
export YARN_CONF_DIR=$HADOOP_CONF_DIR
export SPARK_HOME=/opt/cloudera/parcels/CDH-5.7.0-1.cdh5.7.0.p0.45/lib/spark
export SPARK_CONF_DIR=$SPARK_HOME/conf
export HBASE_HOME=/opt/cloudera/parcels/CDH-5.7.0-1.cdh5.7.0.p0.45/lib/hbase
export HBASE_CONF_DIR=$HBASE_HOME/conf

source "$HADOOP_CONF_DIR"/hadoop-env.sh
source "$SPARK_HOME"/bin/load-spark-env.sh
source "$HBASE_CONF_DIR"/hbase-env.sh

export JAVA_OPTIONS="$JAVA_OPTIONS -Djava.library.path=/opt/cloudera/parcels/CDH-5.7.0-1.cdh5.7.0.p0.45/lib/hadoop/lib/native -Dtinkerpop.ext=ext -Dlog4j.configuration=conf/log4j-console.properties -Dgremlin.log4j.level=$GREMLIN_LOG_LEVEL -javaagent:/mnt/hdfs/janusgraph-0.1.1-hadoop2/lib/jamm-0.3.0.jar -Dhdp.version=$HDP_VERSION"

GREMLINHOME=/mnt/hdfs/janusgraph-0.1.1-hadoop2
export HADOOP_GREMLIN_LIBS=$GREMLINHOME/lib

export CLASSPATH=$HADOOP_HOME/etc/hadoop

export CLASSPATH=$CLASSPATH:$HBASE_HOME/conf

export CLASSPATH=$GREMLINHOME/lib/*:$YARN_HOME/*:$YARN_CONF_DIR:$SPARK_HOME/lib/*:$SPARK_CONF_DIR:$CLASSPATH

cd $GREMLINHOME
export GREMLIN_LOG_LEVEL=info
exec $GREMLINHOME/bin/gremlin.sh $*

下面是我的conf/hadoop-graph/hadoop-call-script.properties文件：

gremlin.graph=org.apache.tinkerpop.gremlin.hadoop.structure.HadoopGraph
gremlin.hadoop.GraphInputFormat=org.apache.tinkerpop.gremlin.hadoop.structure.io.script.ScriptInputFormat
gremlin.hadoop.inputLocation=/user/hive/warehouse/tablex/000000_0
gremlin.hadoop.scriptInputFormat.script=/user/me/janus/script-input-call.groovy
gremlin.hadoop.outputLocation=output
gremlin.hadoop.jarsInDistributedCache=true

spark.driver.maxResultSize=8192
spark.yarn.executor.memoryOverhead=5000
spark.executor.cores=1
spark.executor.instances=1000
spark.master=yarn-client
spark.executor.memory=10g
spark.driver.memory=10g
spark.serializer=org.apache.spark.serializer.JavaSerializer

如果我将行“spark.master=yarn client”更改为“spark.master=local[*]”，那么它运行良好并将数据加载到janusgraph，不会引发异常。但是我需要用Yarn，这是我必须的。因此，我将guava-18.0.jar添加到hdfs中，并将行“spark.executor.extraclasspath=hdfs:///user/me/guava-18.0.jar”添加到hadoop-call-script.properties中。它没有解决问题。
目前我的想法和无助，任何帮助是感激的。
不是：我知道mvn着色与这个问题有关，但是在这种情况下，因为我使用janusgraph代码来创建spark作业，所以我无法干预和着色guava包。
提前告诉我，阿里