RAM authentication

RAM ID authentication

RAM supports creating and managing RAM user accounts, as well as using these accounts to control access to various resources on the cloud.

The administrator of the master account can create RAM users on the RAM user management page (the user name must comply with Linux username specifications) and download their AccessKey for the corresponding developer. The developer can then configure the AccessKey to pass Kerberos authentication and access the cluster service.

Unlike theMIT Kerberos authentication, RAM identity authentication does not require adding principalsto the Kerberos server in advance.

The following example uses a RAM user account that has already been created to access a gateway.

• Add the RAM user to the E-MapReduce cluster.

  The E-MapReduce security cluster's YARN uses LinuxContainerExecutor. Running the YARN job on a cluster requires all cluster nodes to add the user account that is going to run the job. LinuxContainerExecutor conducts the related permission validation based on the user account during the execution process.

  The E-MapReduce cluster administrator executes the following code on the cluster's master node:

  sudo su hadoop
  sh adduser.sh test 1 2

  The adduser.sh code is attached:

  # Username
   user_name=$1
   # Master node count in the cluster. For example, the HA cluster has two master nodes.
   master_cnt=$2
   # Worker node count in the cluster
   worker_cnt=$3
   for((i=1;i<=$master_cnt;i++))
   do
     ssh -o StrictHostKeyChecking=no emr-header-$i sudo useradd $user_name
   done
   for((i=1;i<=$worker_cnt;i++))
   do
     ssh -o StrictHostKeyChecking=no emr-worker-$i sudo useradd $user_name
  done

• The gateway administrator adds the test user account on the gateway machine.

  useradd test

• The gateway administrator configures the basic Kerberos environment.

  sudo su root
   sh config_gateway_kerberos.sh 10.27.230.10 /pathto/emrheader1_pwd_file
   # Ensures the value of the /etc/ecm/hadoop-conf/core-site.xml file on the Gateway is true
   <property>
      <name>hadoop.security.authentication.use.has</name>
      <value>true</value>
   property

  The config_gateway_kerberos.sh script is attached:

  # IP address of the emr-header-1 in the EMR cluster
   masterip=$1
   # Saves the corresponding root logon password file for masterip
   masterpwdfile=$2
   if ! type sshpass >/dev/null 2>&1; then
      yum install -y sshpass
  fi
    ## Kerberos conf
   sshpass -f $masterpwdfile scp root@$masterip:/etc/krb5.conf /etc/
   mkdir /etc/has
   sshpass -f $masterpwdfile scp root@$masterip:/etc/has/has-client.conf /etc/has
   sshpass -f $masterpwdfile scp root@$masterip:/etc/has/truststore /etc/has/
   sshpass -f $masterpwdfile scp root@$masterip:/etc/has/ssl-client.conf /etc/has/
   # Modifies Kerberos client configuration, changing the default auth_type from EMR to RAM
   # This file can be manually modified
   sed -i 's/EMR/RAM/g' /etc/has/has-client.conf

• The test user logs on to the gateway and configures the AccessKey.

   # Log on the test account of Gateway
   # Run the script
   sh add_accesskey.sh test

  The add_accesskey.sh script is attachedto modify the AccessKey:

  user=$1
   if [[ `cat /home/$user/.bashrc | grep 'export AccessKey'` == "" ]];then
   echo "
   # Change to the test user's AccessKeyId/AccessKeySecret
   export AccessKeyId=YOUR_AccessKeyId
   export AccessKeySecret=YOUR_AccessKeySecret
   " >>~/.bashrc
   else
      echo $user AccessKey has been added to .bashrc
   fi

• The test user executes the command.

  The test user is now able to execute the relevant commands to access the cluster service.

  Execute HDFS commands:

  [test@gateway ~]$ hadoop fs -ls /
    17/11/19 12:32:15 INFO client.HasClient: The plugin type is: RAM
    Found 4 items
    drwxr-x---   - has    hadoop          0 2017-11-18 21:12 /apps
    drwxrwxrwt   - hadoop hadoop          0 2017-11-19 12:32 /spark-history
    drwxrwxrwt   - hadoop hadoop          0 2017-11-18 21:16 /tmp
    drwxrwxrwt   - hadoop hadoop          0 2017-11-18 21:16 /user

  Run the Hadoop job:

  [test@gateway ~]$ hadoop jar /usr/lib/hadoop-current/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.2.jar pi 10 1

  Run the Spark job:

  [test@gateway ~]$ spark-submit --conf spark.ui.view.acls=* --class org.apache.spark.examples.SparkPi --master yarn-client --driver-memory 512m --num-executors 1 --executor-memory 1g --executor-cores 2 /usr/lib/spark-current/examples/jars/spark-examples_2.11-2.1.1.jar 10