yarn

关于node.js入门知识

血红的双手。 提交于 2019-12-08 16:36:22
Node.js是一门后端语言 基于Chrome v8引擎的js运行环境 除此之外:还有其他的引擎: 单片机、actionscript Node.js有两大特征 事件驱动 事件的定义(发布) 事件的触发(订阅) 非阻塞式 I/O 模型 非阻塞 : 执行一个任务时,不需要等待这个任务执行完成,就可以去执行其他任务 I/O: 磁盘文件操作 / 数据库数据操作 关于node.js的包管理器: npm 全球最大的开源生态系统( 国外的 ) cnpm 淘宝镜像( 国内的 ) yarn 注意:npm && yarn 全部要配置国内镜像 安装方式有两种: 官网下载镜像直接安装 ( 只能使用一个版本 ) 使用 nvm 来安装 ( nvm可以管理多个Node.js版本 ) nvm安装: https://github.com/coreybutler/nvm-windows/releases (下载第三个 nvm-setup.zip) nvm安装前先卸载本地的Node.js 问题: 如果报错 nvm命令没找到, 就是你的系统环境变量没有自动生成, 所以你要手动配置 https://blog.csdn.net/qq_27626333/article/details/77857223 node.js的全局对象是global 运行node.js的文件是在命令终端种执行以下语句: $ node 文件名 回车

RM job was stuck when running with oozie

♀尐吖头ヾ 提交于 2019-12-08 12:24:56
问题 I'm running a mapreduce wordcount job task on oozie. 2 jobs were submitted to the yarn, and then the monitoring tasks running upto 99% were stuck. Wordcount job has been 0%. When I kill off the monitor job, wordcount job runs smoothly. I use a cluster of 3 virtual machines, configuration is as follows: Profile per VM: cores=2 memory=2048MB reserved=0GB usableMem=0GB disks=1 Num Container=3 Container Ram=640MB Used Ram=1GB Unused Ram=0GB yarn.scheduler.minimum-allocation-mb=640 yarn.scheduler

Error: java.lang.IllegalArgumentException: Comparison method violates its general contract even using workaround

梦想的初衷 提交于 2019-12-08 10:02:48
问题 I have already spent two days to short out this error, even I tried workaround which are suggested in several stackoverflow posts "-Djava.util.Arrays.useLegacyMergeSort=true" but it also doesnt work. this is the details of my command and its returning error: Command: hadoop jar CloudBrush.jar -Djava.awt.headless=true -Djava.util.Arrays.useLegacyMergeSort=true -reads /Ec10k -asm Ec10k_Brush -k 21 -readlen 36 Error: Error: java.lang.IllegalArgumentException: Comparison method violates its

Is CDH4 meant mainly for YARN?

三世轮回 提交于 2019-12-08 09:45:49
问题 I have several questions or rather confusions regarding CDH4. I am posting here since I did not get any concrete information regarding my questions. Is CDH4 meant to promote YARN? I tried setting up MapReduce1 using CDH4.3.0 using tarball. I finally did but it is round about and painful. Whereas YARN set up is strait forward. Is anyone using YARN in production at all? Apache clearly says that YARN is still in alpha version and not meant for production. In such cases why is Cloudera making

Spring Boot YARN doesn't run on Hadoop 2.8.0 client cannot access DataNode

拈花ヽ惹草 提交于 2019-12-08 07:28:55
问题 I'm trying to run Spring Boot YARN sample (https://spring.io/guides/gs/yarn-basic/ on Windows). In application.yml I changed fsUri and resourceManagerHost to point to my VM's host 192.168... . But when I'm trying to run application Exceprion appears: DFSClient: Exception in createBlockOutputStream java.net.ConnectException: Connection timed out: no further information at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl

Error while running Map reduce on Hadoop 2.6.0 on Windows

爷,独闯天下 提交于 2019-12-08 07:24:36
问题 I've setup a single node Hadoop 2.6.0 cluster on my Windows 8.1 using this tutorial - https://wiki.apache.org/hadoop/Hadoop2OnWindows. All daemons are up and running. I'm able to access hdfs using hadoop fs -ls / but I've not loaded anything, so there is nothing to show up as of now. But when I run a simple map reduce program, I get the below erorr : log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory). log4j:WARN Please initialize the log4j

how to submit mapreduce job with yarn api in java

喜欢而已 提交于 2019-12-08 06:38:11
问题 I want submit my MR job using YARN java API, I try to do it like WritingYarnApplications, but I don't know what to add amContainer, below is code I have written: package org.apache.hadoop.examples; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.yarn.api.protocolrecords.GetNewApplicationResponse; import org.apache.hadoop.yarn.api.records.ApplicationId; import org.apache.hadoop.yarn.api.records.ApplicationSubmissionContext; import org.apache.hadoop.yarn.api.records

Spark executor cores not shown in yarn resource manager

自闭症网瘾萝莉.ら 提交于 2019-12-08 04:25:59
问题 Yarn resource manager is not showing the total cores for the spark application. Lets say if submit a spark job with 300 executors and executor-cores as 3. So the total cores the spark job is taking is 900 but in yarn resource manager it only shows as 300. So is this just a display error or is Yarn not seeing the rest of the 600 cores? Environment: HDP2.2 Scheduler : capacity-scheduler Spark : 1.4.1 回答1: Set yarn.scheduler.capacity.resource-calculator=org.apache.hadoop.yarn.util.resource

Setting yarn shuffle for spark makes spark-shell not start

半腔热情 提交于 2019-12-08 04:24:05
问题 I have a 4 ubuntu 14.04 machines cluster where I am setting up spark 2.1.0 prebuilt for hadoop 2.7 to run on top of hadoop 2.7.3 and I am configuring it to work with yarn. Running jps in each node I get: node-1 22546 Master 22260 ResourceManager 22916 Jps 21829 NameNode 22091 SecondaryNameNode node-2 12321 Worker 12485 Jps 11978 DataNode node-3 15938 Jps 15764 Worker 15431 DataNode node-4 12251 Jps 12075 Worker 11742 DataNode Without yarn shuffle configuration ./bin/spark-shell --master yarn

Yarn parsing job logs stored in hdfs

我只是一个虾纸丫 提交于 2019-12-08 03:38:13
问题 Is there any parser, which I can use to parse the json present in yarn job logs(jhist files) which gets stored in hdfs to extract information from it. 回答1: The second line in the .jhist file is the avro schema for the other jsons in the file. Meaning that you can create avro data out of the jhist file. For this you could use avro-tools-1.7.7.jar # schema is the second line sed -n '2p;3q' file.jhist > schema.avsc # removing the first two lines sed '1,2d' file.jhist > pfile.jhist # finally