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Many bioinformatics workflows run the same command on multiple files. When the file sizes are small, the command could only take a few seconds to finish.If you submit the processing of each file as a job often causes the job scheduler to complain of short-running jobs.
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From Windows, use MobaXterm or PuTTY to connect to o2.hms.harvard.edu and make sure the port is set to the default value of 22.
From a Mac Terminal, use the ssh command, inserting your eCommons HMS ID instead of user123:
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ssh user123@o2.hms.harvard.edu |
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Create a working directory on scratch3 scratch and change into the newly-created directory. For example, for user abc123, the working directory will be
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srun --pty -p interactive -t 0-12:0:0 --mem 2000M -n 1 /bin/bash mkdir /n/scratch3scratch/users/a/abc123/testBatchJob cd /n/scratch3scratch/users/a/abc123/testBatchJob |
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# We want to convert each of them into fasta format, the command is available in module fastx
# you can run the command on the files one by one as shown below:
module load fastx/0.0.13
for fq in *fq; do
echo submitting job for $fq
sbatch -p short -t 0-0:10:0 --mem 20M --mail-type=END --wrap "fastq_to_fasta -Q33 -i $fq -o ${fq%.fq}.fa"
done
# you should see output:
submitting job for t1_s1_1.fq
Submitted batch job 34710674
submitting job for t1_s1_2.fq
Submitted batch job 34710675
submitting job for t1_s2_1.fq
Submitted batch job 34710676
submitting job for t1_s2_2.fq
Submitted batch job 34710677
# After a few minutes, if you check the job reports, the jobs only ran a few seconds to finish.
O2sacctO2_jobs_report -j 34710674
# Output
JobID Partition State NodeList Start Timelimit Elapsed CPUTime TotalCPU AllocTRES MaxRSS
------------ ---------- -------------- ---------------------- -------------------- -------------- -------------- ---------- ---------- ------------------------- ----------
34710674 COMPLETED compute-a-16-166 2019-02-22T07:36:51 00:00:00 00:00:00 00:02.829
34710674.ba+ COMPLETED compute-a-16-166 2019-02-22T07:36:44 00:00:07 00:00:07 00:02.829 cpu=1,mem=0.02G,node=1 0.00G
# The jobs only run a few seconds. It is not efficient for the scheduler, so it is better to run all of them 4 files in same job.
# Or if you prefer to use Slurm script to submit jobs:
module load fastx/0.0.13
for fq in *fq; do
echo submitting job for $fq
sbatch job.sh $fq
done
# In job.sh:
#!/bin/bash
#SBATCH -p short
#SBATCH -t 0-00:10:00
#SBATCH --mem=20M
#SBATCH --mail-type=END
fastq_to_fasta -Q33 -i $1 -o ${1%.fq}.fa
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