2016-11-27 53 views
1

我正在使用Nodejs进行Amazon EMR作业我试图更改文件以使用UNIX行尾,但它仍然。不工作以下是错误: -亚马逊EMR - 无法运行程序<path> ./mapper.js“:error = 2,没有这样的文件或目录

2016-11-27 09:16:53,794 INFO [main] org.apache.hadoop.streaming.PipeMapRed: PipeMapRed exec [/mnt1/yarn/usercache/hadoop/appcache/application_1480232881564_0005/container_1480232881564_0005_01_000002/./mapper.js] 
2016-11-27 09:16:53,803 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: mapred.work.output.dir is deprecated. Instead, use mapreduce.task.output.dir 
2016-11-27 09:16:53,804 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: map.input.start is deprecated. Instead, use mapreduce.map.input.start 
2016-11-27 09:16:53,804 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: job.local.dir is deprecated. Instead, use mapreduce.job.local.dir 
2016-11-27 09:16:53,804 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: mapred.task.is.map is deprecated. Instead, use mapreduce.task.ismap 
2016-11-27 09:16:53,805 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: mapred.task.id is deprecated. Instead, use mapreduce.task.attempt.id 
2016-11-27 09:16:53,805 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: mapred.tip.id is deprecated. Instead, use mapreduce.task.id 
2016-11-27 09:16:53,805 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: mapred.local.dir is deprecated. Instead, use mapreduce.cluster.local.dir 
2016-11-27 09:16:53,806 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: map.input.file is deprecated. Instead, use mapreduce.map.input.file 
2016-11-27 09:16:53,806 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords 
2016-11-27 09:16:53,806 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: map.input.length is deprecated. Instead, use mapreduce.map.input.length 
2016-11-27 09:16:53,806 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: mapred.cache.localFiles is deprecated. Instead, use mapreduce.job.cache.local.files 
2016-11-27 09:16:53,807 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: mapred.job.id is deprecated. Instead, use mapreduce.job.id 
2016-11-27 09:16:53,807 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: mapred.task.partition is deprecated. Instead, use mapreduce.task.partition 
2016-11-27 09:16:53,816 ERROR [main] org.apache.hadoop.streaming.PipeMapRed: configuration exception 
java.io.IOException: Cannot run program "/mnt1/yarn/usercache/hadoop/appcache/application_1480232881564_0005/container_1480232881564_0005_01_000002/./mapper.js": error=2, No such file or directory 
    at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048) 
    at org.apache.hadoop.streaming.PipeMapRed.configure(PipeMapRed.java:209) 

这里是我的集群命令: -

aws emr create-cluster 
--auto-scaling-role EMR_AutoScaling_DefaultRole 
--applications Name=Hadoop --bootstrap-actions '[{"Path":"s3://ccvikas/installNode.sh","Name":"Custom action"}]' 
--ec2-attributes '{"InstanceProfile":"EMR_EC2_DefaultRole","SubnetId":"subnet-9db906c6","EmrManagedSlaveSecurityGroup":"sg-d9ee70a4","EmrManagedMasterSecurityGroup":"sg-deee70a3"}' 
--service-role EMR_DefaultRole 
--release-label emr-5.2.0 
--steps '[{"Args":["hadoop-streaming","-files","s3://ccvikas/js/mapper.js","-mapper","mapper.js","-reducer","mapper.js","-input","s3://commoncrawl/crawl-data/CC-MAIN-2016-40/segments/1474738659496.36/warc/CC-MAIN-20160924173739-00000-ip-10-143-35-109.ec2.internal.warc.gz","-output","s3://ccvikas/out8"],"Type":"CUSTOM_JAR","ActionOnFailure":"CANCEL_AND_WAIT","Jar":"command-runner.jar","Properties":"","Name":"Streaming program"}]' 
--name 'My cluster' --instance-groups '[{"InstanceCount":1,"InstanceGroupType":"MASTER","InstanceType":"m1.xlarge","Name":"Master - 1"},{"InstanceCount":1,"InstanceGroupType":"CORE","InstanceType":"m1.xlarge","Name":"Core - 2"}]' 
--scale-down-behavior TERMINATE_AT_INSTANCE_HOUR 
--region us-east-1 

这里是我的步骤的命令: -

hadoop-streaming 
-files s3://ccvikas/js/mapper.js,s3://ccvikas/js/reducer.js 
-mapper mapper.js 
-reducer reducer.js 
-input s3://commoncrawl/crawl-data/CC-MAIN-2016-40/segments/1474738659496.36/warc/CC-MAIN-20160924173739-00000-ip-10-143-35-109.ec2.internal.warc.gz 
-output s3://ccvikas/out 

回答

1

问题是我的引导操作没有正确安装nodejs。所以我按照如下方式修改了我的引导操作以安装最新的nodejs。

#!/bin/bash 
is_aml=`uname -r | grep amzn1.x86_64 | wc -l` 

if [ is_aml=1 ]; then 

    sudo curl --silent --location https://rpm.nodesource.com/setup_7.x | sudo bash - 

    sudo yum -y install nodejs 

else 
    echo "Unsupported OS" 
    exit -1 
fi 

这种错误的另一个原因可能是: -
- 不使用你的映射器和减速机的文件和正确的家当线
- 通过其保存在Windows环境映射器和减速器文件(在Windows行尾) =>使用UNIX行尾来解决问题。

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