Spark1.4启动spark-shell时initializing失败
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
- 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 ...
- 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. ...
- [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 ...
- 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 ...
- 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 ...
- 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 ...
- 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 ...
- 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 ...
- 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
- error when loading the sdk 发现了元素 d:skin 开头无效内容 转自http://blog.csdn.net/yueqinglkong/article/details/46340571
把devices.xml这个文件删除,再把sdk里面tools\lib下的这个文件拷贝到你删除的那个文件夹里,重启eclipse
- php文件删除
<?php $dirname="shangchuan/uploads"; deldir($dirname); function deldir($dirname){ if(fi ...
- HDU-5536 Chip Factory (字典树)
题目大意:给n个数,编号为1~n,取三个编号不同的数,使表达式(a+b)^c的值最大. 题目分析:将这n个数按二进制位建立一棵trie.枚举i.j的和,查询亦或最大值,但在查询之前要把i.j在trie ...
- GDB调试器
/*this project used for gdb debug c programs*//*At first,using compile command turn out the executab ...
- Linux驱动设计——字符设备驱动(一)
Linux字符设别驱动结构 cdev结构体 struct cdev { struct kobject kobj; struct module *owner; const struct file_ope ...
- Java——银行业务调度系统
需求: 模拟实现银行业务调度系统逻辑,具体需求如下: Ø 银行内有6个业务窗口,1 - 4号窗口为普通窗口,5号窗口为快速窗口,6号窗口为VIP窗口. Ø 有三种对应类型的客户:VIP客户,普通 ...
- 怎么用ABBYY将PDF转换为JPEG图像
FineReader Mac版,全称ABBYY FineReader Pro for Mac,是一款流行的OCR图文识别软件,可快速方便地将扫描纸质文档.PDF文件和数码相机的图像转换成可编辑.可搜索 ...
- 用一条UPDATE语句交换两列的值
在SQL UPDATE语句中,"="右侧的值在整个UPDATE语句中都是一致的,所有更新同时发生!因此以下语句将在没有临时变量的情况下交换两列的值: UPDATE table SE ...
- OpenJudge计算概论-字符串最大跨距
/*====================================================================== 字符串最大跨距 总时间限制: 1000ms 内存限制: ...
- apache mesos 安装
安装方式: Mesosphere yum 操作系统:centos7 1. 安装 rpm -Uvh http://repos.mesosphere.io/el/7/noarch/RPMS/mesos ...