# Run a single node job in AWS PCS To run a job using Slurm, you prepare a submission script specifying job requirements and submit it to a queue with the `sbatch` command. Typically, this is done from a shared directory so the login and compute nodes have a common space for accessing files. Connect to the login node of your cluster and run the following commands at its shell prompt. + Become the default user. Change to the shared directory. ``` sudo su - ec2-user cd /shared ``` + Use the following commands to create an example job script: ``` cat << EOF > job.sh #!/bin/bash #SBATCH -J single #SBATCH -o single.%j.out #SBATCH -e single.%j.err echo "This is job \${SLURM_JOB_NAME} [\${SLURM_JOB_ID}] running on \${SLURMD_NODENAME}, submitted from \${SLURM_SUBMIT_HOST}" && sleep 60 && echo "Job complete" EOF ``` + Submit the job script to the Slurm scheduler: ``` sbatch -p demo job.sh ``` + When the job is submitted, it will return a job ID as a number. Use that ID to check the job status. Replace *job-id* in the following command with the number returned from `sbatch`. ``` squeue --job job-id ``` **Example** ``` squeue --job 1 ``` The `squeue` command returns output similar to the following: ``` JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON) 1 demo test ec2-user CF 0:47 1 compute-1 ``` + Continue to check the status of the job until it reaches the `R` (running) status. The job is done when `squeue` doesn't return anything. + Inspect the contents of the `/shared` directory. ``` ls -alth /shared ``` The command output is similar to the following: ``` -rw-rw-r- 1 ec2-user ec2-user 107 Mar 19 18:33 single.1.out -rw-rw-r- 1 ec2-user ec2-user 0 Mar 19 18:32 single.1.err -rw-rw-r- 1 ec2-user ec2-user 381 Mar 19 18:29 job.sh ``` The files named `single.1.out` and `single.1.err` were written by one of your cluster's compute nodes. Because the job was run in a shared directory (`/shared`), they are also available on your login node. This is why you configured an FSx for Lustre file system for this cluster. + Inspect the contents of the `single.1.out` file. ``` cat /shared/single.1.out ``` The output is similar to the following: ``` This is job test [1] running on compute-1, submitted from ip-10-3-13-181 Job complete ```