错误信息如下:

5/11/03 16:48:15 INFO spark.SparkContext: Running Spark version 1.4.1
15/11/03 16:48:15 WARN spark.SparkConf: In Spark 1.0 and later spark.local.dir will be overridden by the value set by the cluster manager (via SPARK_LOCAL_DIRS in mesos/standalone and LOCAL_DIRS in YARN).
15/11/03 16:48:15 WARN spark.SparkConf:
SPARK_JAVA_OPTS was detected (set to '-verbose:gc -XX:-UseGCOverheadLimit -XX:+UseCompressedOops -XX:-PrintGCDetails -XX:+PrintGCTimeStamps -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/home/xujingwen/ocdc/spark-1.4.1-bin-hadoop2.6/1103164805.hprof').
This is deprecated in Spark 1.0+. Please instead use:
- ./spark-submit with conf/spark-defaults.conf to set defaults for an application
- ./spark-submit with --driver-java-options to set -X options for a driver
- spark.executor.extraJavaOptions to set -X options for executors
- SPARK_DAEMON_JAVA_OPTS to set java options for standalone daemons (master or worker) 15/11/03 16:48:15 WARN spark.SparkConf: Setting 'spark.executor.extraJavaOptions' to '-verbose:gc -XX:-UseGCOverheadLimit -XX:+UseCompressedOops -XX:-PrintGCDetails -XX:+PrintGCTimeStamps -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/home/xujingwen/ocdc/spark-1.4.1-bin-hadoop2.6/1103164805.hprof' as a work-around.
15/11/03 16:48:15 WARN spark.SparkConf: Setting 'spark.driver.extraJavaOptions' to '-verbose:gc -XX:-UseGCOverheadLimit -XX:+UseCompressedOops -XX:-PrintGCDetails -XX:+PrintGCTimeStamps -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/home/xujingwen/ocdc/spark-1.4.1-bin-hadoop2.6/1103164805.hprof' as a work-around.
15/11/03 16:48:15 WARN spark.SparkConf:
SPARK_CLASSPATH was detected (set to ':ls $SPARK_HOME/lib/*.jar').
This is deprecated in Spark 1.0+. Please instead use:
- ./spark-submit with --driver-class-path to augment the driver classpath
- spark.executor.extraClassPath to augment the executor classpath 15/11/03 16:48:15 WARN spark.SparkConf: Setting 'spark.executor.extraClassPath' to ':ls $SPARK_HOME/lib/*.jar' as a work-around.
15/11/03 16:48:15 ERROR spark.SparkContext: Error initializing SparkContext.
org.apache.spark.SparkException: Found both spark.driver.extraClassPath and SPARK_CLASSPATH. Use only the former.
at org.apache.spark.SparkConf$$anonfun$validateSettings$6$$anonfun$apply$8.apply(SparkConf.scala:444)
at org.apache.spark.SparkConf$$anonfun$validateSettings$6$$anonfun$apply$8.apply(SparkConf.scala:442)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.SparkConf$$anonfun$validateSettings$6.apply(SparkConf.scala:442)
at org.apache.spark.SparkConf$$anonfun$validateSettings$6.apply(SparkConf.scala:430)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.SparkConf.validateSettings(SparkConf.scala:430)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:365)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
at $line3.$read$$iwC$$iwC.<init>(<console>:9)
at $line3.$read$$iwC.<init>(<console>:18)
at $line3.$read.<init>(<console>:20)
at $line3.$read$.<init>(<console>:24)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.<init>(<console>:7)
at $line3.$eval$.<clinit>(<console>)

查看spark-env.sh 和spark-default.conf中的配置发现两边都写的有classpath

//spark-default.conf
# Default system properties included when running spark-submit.
# This is useful for setting default environmental settings. # Example:
# spark.master spark://master:7077
# spark.eventLog.enabled true
# spark.eventLog.dir hdfs://namenode:8021/directory
# spark.serializer org.apache.spark.serializer.KryoSerializer
# spark.driver.memory 5g
# spark.executor.extraJavaOptions -XX:+PrintGCDetails -Dkey=value -Dnumbers="one two three"
#
#
spark.serializer org.apache.spark.serializer.KryoSerializer
spark.local.dir /home/xujingwen/data/pseudo-dist/spark/local,/home/xujingwen/data/pseudo-dist/spark/local
spark.io.compression.codec snappy
spark.speculation false
spark.yarn.executor.memoryOverhead 512
#spark.storage.memoryFraction 0.4
spark.eventLog.enabled true
spark.eventLog.dir hdfs://cdh5cluster/eventLog
spark.eventLog.compress true
spark.driver.extraClassPath /home/xujingwen/ocdc/spark-1.4.1-bin-2.6.0-cdh5.4.4/lib/mysql-connector-java-5.1.30-bin.jar:/home/xujingwen/ocdc/spark-1.4.1-bin-2.6.0-cdh5.
4.4/lib/datanucleus-api-jdo-3.2.6.jar:/home/xujingwen/ocdc/spark-1.4.1-bin-2.6.0-cdh5.4.4/lib/datanucleus-core-3.2.10.jar:/home/xujingwen/ocdc/spark-1.4.1-bin-2.6.0-cdh
5.4.4/lib/datanucleus-rdbms-3.2.9.jar
//spark-env.sh
# Generic options for the daemons used in the standalone deploy mode
# - SPARK_CONF_DIR Alternate conf dir. (Default: ${SPARK_HOME}/conf)
# - SPARK_LOG_DIR Where log files are stored. (Default: ${SPARK_HOME}/logs)
# - SPARK_PID_DIR Where the pid file is stored. (Default: /tmp)
# - SPARK_IDENT_STRING A string representing this instance of spark. (Default: $USER)
# - SPARK_NICENESS The scheduling priority for daemons. (Default: 0) MASTER=yarn-client
SPARK_HOME=/home/xujingwen/ocdc/spark-1.4.1-bin-2.6.0-cdh5.4.4
SCALA_HOME=/home/xujingwen/ocdc/scala
JAVA_HOME=/home/xujingwen/ocdc/jdk1.7.0_21
HADOOP_HOME=/home/xujingwen/ocdc/hadoop-2.6.0-cdh5.4.4 export SPARK_MASTER_IP=192.168.0.4 HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop SPARK_EXECUTOR_INSTANCES=50
SPARK_EXECUTOR_CORES=2
SPARK_EXECUTOR_MEMORY=4G
SPARK_DRIVER_MEMORY=3G
SPARK_YARN_APP_NAME="Spark-1.1.0"
#export SPARK_YARN_QUEUE="default" SPARK_SUBMIT_LIBRARY_PATH=$SPARK_LIBRARY_PATH:$HADOOP_HOME/lib/native
SPARK_JAVA_OPTS="-verbose:gc -XX:-UseGCOverheadLimit -XX:+UseCompressedOops -XX:-PrintGCDetails -XX:+PrintGCTimeStamps $SPARK_JAVA_OPTS -XX:+HeapDumpOnOutOfMemoryEr
ror -XX:HeapDumpPath=/home/xujingwen/ocdc/spark-1.4.1-bin-hadoop2.6/`date +%m%d%H%M%S`.hprof"
export SPARK_HISTORY_OPTS="-Dspark.history.ui.port=18080 -Dspark.history.retainedApplications=1000 -Dspark.history.retainedApplications=1000 -Dspark.history.fs.logD
irectory=hdfs://cdh5cluster/eventLog" #export SPARK_CLASSPATH=$SPARK_CLASSPATH:/home/xujingwen/ocdc/apache-hive-1.2.1-bin/lib/mysql-connector-java-5.1.30-bin.jar for libjar in 'ls $SPARK_HOME/lib/*.jar'
do
SPARK_CLASSPATH=$SPARK_CLASSPATH:$libjar
done

spark1.4版本以后 应统一将classpath配置到spark-default.conf文件中 如下:

Spark1.4启动spark-shell时initializing失败的更多相关文章

  1. Spark Standalone Mode 单机启动Spark -- 分布式计算系统spark学习(一)

    spark是个啥? Spark是一个通用的并行计算框架,由UCBerkeley的AMP实验室开发. Spark和Hadoop有什么不同呢? Spark是基于map reduce算法实现的分布式计算,拥 ...

  2. Spark学习进度-Spark环境搭建&Spark shell

    Spark环境搭建 下载包 所需Spark包:我选择的是2.2.0的对应Hadoop2.7版本的,下载地址:https://archive.apache.org/dist/spark/spark-2. ...

  3. [Spark内核] 第36课:TaskScheduler内幕天机解密:Spark shell案例运行日志详解、TaskScheduler和SchedulerBackend、FIFO与FAIR、Task运行时本地性算法详解等

    本課主題 通过 Spark-shell 窥探程序运行时的状况 TaskScheduler 与 SchedulerBackend 之间的关系 FIFO 与 FAIR 两种调度模式彻底解密 Task 数据 ...

  4. TaskScheduler内幕天机解密:Spark shell案例运行日志详解、TaskScheduler和SchedulerBackend、FIFO与FAIR、Task运行时本地性算法详解等

    本课主题 通过 Spark-shell 窥探程序运行时的状况 TaskScheduler 与 SchedulerBackend 之间的关系 FIFO 与 FAIR 两种调度模式彻底解密 Task 数据 ...

  5. haproxy启动时提示失败

    haproxy启动时提示失败:[ALERT] 164/110030 (11606) : Starting proxy linuxyw.com: cannot bind socket 这个问题,其实就是 ...

  6. Spark shell的原理

    Spark shell是一个特别适合快速开发Spark原型程序的工具,可以帮助我们熟悉Scala语言.即使你对Scala不熟悉,仍然可以使用这个工具.Spark shell使得用户可以和Spark集群 ...

  7. Spark源码分析之Spark Shell(下)

    继上次的Spark-shell脚本源码分析,还剩下后面半段.由于上次涉及了不少shell的基本内容,因此就把trap和stty放在这篇来讲述. 上篇回顾:Spark源码分析之Spark Shell(上 ...

  8. spark-shell启动spark报错

    前言 离线安装好CDH.Coudera Manager之后,通过Coudera Manager安装所有自带的应用,包括hdfs.hive.yarn.spark.hbase等应用,过程很是波折,此处就不 ...

  9. Spark源码分析之Spark Shell(上)

    终于开始看Spark源码了,先从最常用的spark-shell脚本开始吧.不要觉得一个启动脚本有什么东东,其实里面还是有很多知识点的.另外,从启动脚本入手,是寻找代码入口最简单的方法,很多开源框架,其 ...

随机推荐

  1. spark共享变量

    boradcast例子代码: scala版本 spark共享变量之Accumulator 例子代码: scala版本

  2. 奇怪的电梯(HDU1548) (Dijkstra)或者(BFS)

    问题 E: 奇怪的电梯 时间限制: 1 Sec  内存限制: 64 MB提交: 35  解决: 16[提交][状态][讨论版] 题目描述 有一天桐桐做了一个梦,梦见了一种很奇怪的电梯.大楼的每一层楼都 ...

  3. poj1733 带权并查集

    题意:有一个 0/1 数列,现在有n组询问和回答,表示某个区间内有奇数或者偶数个1,问到前多少个都没有逻辑错误,而下一个就不满足 可以定奇数为 1 偶数为 0作为每个元素的权值,表示它与它的祖先元素的 ...

  4. img元素底部有空白间距的问题

    <div style="width:100px;height:100px"><img src="./1.jpg"></div> ...

  5. Bootloader的原理以及实现(转载)

    BootLoader工作原理 BootLoader工作原理 BootLoader指系统启动后,在操作系统内核运行之前运行的一段小程序.通过BootLoader,我们可以初始化硬件设备.建立内存空间的映 ...

  6. spring beans源码解读之--Bean的定义及包装

    bean的定义,包装是java bean的基础.再怎么强调它的重要性都不为过,因此深入 了解这块的代码对以后的代码研究可以起到事半功倍的功效. 1. Bean的定义BeanDefinition 1.1 ...

  7. 采用PHP函数uniqid生成一个唯一的ID

    http://www.daimajiayuan.com/sitejs-17815-1.html

  8. CLR thread pool

    Thread Pooling https://msdn.microsoft.com/en-us/library/windows/desktop/ms686756(v=vs.85).aspx Threa ...

  9. C++多继承

    1.继承的三种方式: 公有继承(public),私有继承(private),保护继承(protected)三种继承方式的说明,如下表所示: 特征 公有继承 保护继承 私有继承 公有成员变成 派生类的公 ...

  10. WCF Data Service 使用小结 —— 了解OData(一)

    最近做了一个小项目,其中用到了 WCF Data Service,之前是叫 ADO.NET Data Service 的.关于WCF Data Service,博客园里的介绍并不多,但它确实是个很好的 ...