yarn

flink实战--开发中常见的错误

由 自古美人都是妖i 提交于 2019-12-21 06:22:04
1.Checkpoint失败：Checkpoint expired before completing env.enableCheckpointing(1000L) val checkpointConf = env.getCheckpointConfig checkpointConf.setMinPauseBetweenCheckpoints(30000L) checkpointConf.setCheckpointTimeout(8000L) 原因是因为 checkpointConf.setCheckpointTimeout(8000L) 设置的太小了，默认是10min，这里只设置了8sec。当一个Flink App背压的时候（例如由外部组件异常引起），Barrier会流动的非常缓慢，导致Checkpoint时长飙升。 2.在Flink中，资源的隔离是通过Slot进行的，也就是说多个Slot会运行在同一个JVM中，这种隔离很弱，尤其对于生产环境。Flink App上线之前要在一个单独的Flink集群上进行测试，否则一个不稳定、存在问题的Flink App上线，很可能影响整个Flink集群上的App。 3 .Flink App抛出 The assigned slot container_e08_1539148828017_15937_01_003564_0 was removed .

解决：error delete ·CR· (prettier/prettier)

由 无人久伴 提交于 2019-12-21 06:17:27
这次用vue 搭建 ssr项目。 使用的是nuxtJS。 在使用了eslint+prettier时。总是遇到这样一个问题。 error delete ·CR· (prettier/prettier) 查阅了很多办法，都无法解决。无意中看到的一条。没想到竟然有用！！！ 解决办法： yarn run lint --fix 我用的是yarn ，如果使用的是npm则是 npm run lint --fix 即可，希望可以帮到你们。谢谢。 来源： CSDN 作者： 鹿歪歪酱 链接： https://blog.csdn.net/qq_40207505/article/details/103610754

Exception: java.lang.Exception: When running with master 'yarn' either HADOOP_CONF_DIR or YARN_CONF_DIR must be set in the environment. in spark

由 依然范特西╮ 提交于 2019-12-21 03:55:23
问题 I am new apache-spark. I have tested some application in spark standalone mode.but I want to run application yarn mode.I am running apache-spark 2.1.0 in windows.Here is My code c:\spark>spark-submit2 --master yarn --deploy-mode client --executor-cores 4 --jars C:\DependencyJars\spark-streaming-eventhubs_2.11-2.0.3.jar,C:\DependencyJars\scalaj-http_2.11-2.3.0.jar,C:\DependencyJars\config-1.3.1.jar,C:\DependencyJars\commons-lang3-3.3.2.jar --conf spark.driver.userClasspathFirst=true --conf

How to specify which java version to use in spark-submit command?

由 和自甴很熟 提交于 2019-12-21 03:47:16
问题 I want to run a spark streaming application on a yarn cluster on a remote server. The default java version is 1.7 but i want to use 1.8 for my application which is also there in the server but is not the default. Is there a way to specify through spark-submit the location of java 1.8 so that i do not get major.minor error ? 回答1: JAVA_HOME was not enough in our case, the driver was running in java 8, but I discovered later that Spark workers in YARN were launched using java 7 (hadoop nodes

Apache Spark running spark-shell on YARN error

由 こ雲淡風輕ζ 提交于 2019-12-21 02:43:08
问题 I downloaded: spark-2.1.0-bin-hadoop2.7.tgz from http://spark.apache.org/downloads.html. I have Hadoop HDFS and YARN started with $ start-dfs.sh and $ start-yarn.sh . But running $ spark-shell --master yarn --deploy-mode client gives me the error below: $ spark-shell --master yarn --deploy-mode client Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). 17/04/08 23:04:54 WARN util.NativeCodeLoader: Unable to load

How to set the VCORES in hadoop mapreduce/yarn?

由 倾然丶 夕夏残阳落幕 提交于 2019-12-21 02:42:27
问题 The following are my configuration : **mapred-site.xml** map-mb : 4096 opts:-Xmx3072m reduce-mb : 8192 opts:-Xmx6144m **yarn-site.xml** resource memory-mb : 40GB min allocation-mb : 1GB the Vcores in hadoop cluster displayed 8GB but i dont know how the computation or where to configure it. hope someone could help me. 回答1: Short Answer It most probably doesn't matter, if you are just running hadoop out of the box on your single-node-cluster or even a small personal distributed cluster. You

How to set up Zeppelin to work with remote EMR Yarn cluster

由 …衆ロ難τιáo~ 提交于 2019-12-21 02:01:07
问题 I have Amazon EMR Hadoop v2.6 cluster with Spark 1.4.1, with Yarn resource manager. I want to deploy Zeppelin on separate machine to allow turning off EMR cluster when there is no jobs running. I tried following instruction from here https://zeppelin.incubator.apache.org/docs/install/yarn_install.html with not much of success. Can somebody demystify steps how Zeppelin should connect to existing Yarn cluster from different machine? 回答1: [1] install Zeppelin with proper params: git clone https:

Hadoop运行环境搭建

由 情到浓时终转凉″ 提交于 2019-12-20 20:16:16
Hadoop运行环境搭建 更改为阿里的 Centos7的yum源 # 下载 wget yum -y install wget #echo 下载阿里云的 yum 源配置 Centos-7.repo wget -O /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo yum clean all yum makecache 环境配置 关闭防火墙 关闭防火墙：systemctl stop firewalld.service 禁用防火墙：systemctl disable firewalld.service 查看防火墙：systemctl status firewalld.service 关闭 Selinux：vi /etc/selinux/config 将 SELINUX=enforcing改为SELINUX=disabled 修改 IP 善用 Tab键 vi /etc/sysconfig/network-scripts/ifcfg-ens33 BOOTPROTO=static ONBOOT=yes IPADDR=192.168.X.51 GATEWAY=192.168.X.2 DNS1=8.8.8.8 NETMASK=255.255.255.0 vi /etc/resolv.conf

YARN: What is the difference between number-of-executors and executor-cores in Spark?

由 ∥☆過路亽．° 提交于 2019-12-20 20:11:32
问题 I am learning Spark on AWS EMR. In the process I am trying to understand the difference between number of executors(--num-executors) and executor cores (--executor-cores). Can any one please tell me here? Also when I am trying to submit the following job, I am getting error: spark-submit --deploy-mode cluster --master yarn --num-executors 1 --executor-cores 5 --executor-memory 1g -–conf spark.yarn.submit.waitAppCompletion=false wordcount.py s3://test/spark-example/input/input.txt s3://test

Apache Spark YARN mode startup takes too long (10+ secs)

由 冷暖自知 提交于 2019-12-20 12:03:11
问题 I’m running a spark application with YARN-client or YARN-cluster mode. But it seems to take too long to startup. It takes 10+ seconds to initialize the spark context. Is this normal? Or can it be optimized? The environment is as follows: Hadoop: Hortonworks HDP 2.2 (Hadoop 2.6) (Tiny test cluster with 3 data nodes) Spark: 1.3.1 Client: Windows 7, but similar result on CentOS 6.6 The following is the startup part of the application log. (Some private information was edited) ‘Main: Initializing
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