Data Exercise 1.2: transfer_input_files, transfer_output_files, and remaps¶
Exercise Goal¶
The objective of this exercise is to refresh yourself on HTCondor file transfer, to implement file compression, and to begin examining the memory and disk space used by your jobs in order to plan larger batches. We will also explore ways to deal with output data.
Setup¶
The executable we'll use in this exercise and later today is the same
blastx
executable from previous exercises. Log in to ap40:
$ ssh <USERNAME>@ap40.uw.osg-htc.org
Then change into the blast-data
folder that you created in the
previous exercise.
Review: HTCondor File Transfer¶
Recall that OSG does NOT have a shared filesystem! Instead,
HTCondor transfers your executable and input files (specified with
the executable
and transfer_input_files
submit file directives,
respectively) to a working directory on the execute node, regardless of
how these files were arranged on the submit node. In this exercise we'll
use the same blastx
example job that we used previously, but modify
the submit file and test how much memory and disk space it uses on the
execute node.
Start with a test submit file¶
We've started a submit file for you, below, which you'll add to in the remaining steps.
executable =
transfer_input_files =
output = test.out
error = test.err
log = test.log
request_memory =
request_disk =
request_cpus = 1
requirements = (OSGVO_OS_STRING == "RHEL 8")
queue
Implement file compression¶
In our first blast job from the Software exercises (1.1), the database files in the pdbaa
directory were all transferred, as is, but we
could instead transfer them as a single, compressed file using tar
.
For this version of the job, let's compress our blast database files to send them to the submit node as a single
tar.gz
file (otherwise known as a tarball), by following the below steps:
-
Change into the
pdbaa
directory and compress the database files into a single file calledpdbaa_files.tar.gz
using thetar
command. Note that this file will be different from thepdbaa.tar.gz
file that you used earlier, because it will only contain thepdbaa
files, and not thepdbaa
directory, itself.)Remember, a typical command for creating a tar file is:
user@ap40 $ tar -cvzf <COMPRESSED FILENAME> <LIST OF FILES OR DIRECTORIES>
Replacing
<COMPRESSED FILENAME>
with the name of the tarball that you would like to create and<LIST OF FILES OR DIRECTORIES>
with a space-separated list of files and/or directories that you want inside pdbaa_files.tar.gz. Move the resulting tarball to theblast-data
directory. -
Create a wrapper script that will first decompress the
pdbaa_files.tar.gz
file, and then run blast.Because this file will now be our
executable
in the submit file, we'll also end up transferring theblastx
executable withtransfer_input_files
. In theblast-data
directory, create a new file, calledblast_wrapper.sh
, with the following contents:#!/bin/bash tar -xzvf pdbaa_files.tar.gz ./blastx -db pdbaa -query mouse.fa -out mouse.fa.result rm pdbaa.*
Also remember to make the script executable:
chmod +x blast_wrapper.sh
Extra Files!
The last line removes the resulting database files that came from
pdbaa_files.tar.gz
, as these files would otherwise be copied back to the submit server as perceived output since they're "new" files that HTCondor didn't transfer over as input.
List the executable and input files¶
Make sure to update the submit file with the following:
- Add the new
executable
(the wrapper script you created above) - In
transfer_input_files
, list theblastx
binary, thepdbaa_files.tar.gz
file, and the input query file.
Commas, commas everywhere!
Remember that transfer_input_files
accepts a comma separated list of files, and that you need to list the full
location of the blastx
executable (blastx
).
There will be no arguments, since the arguments to the blastx
command are now captured in the wrapper script.
Predict memory and disk requests from your data¶
Also, think about how much memory and disk to request for this job. It's good to start with values that are a little higher than you think a test job will need, but think about:
- How much memory
blastx
would use if it loaded all of the database files and the query input file into memory. - How much disk space will be necessary on the execute server for the executable, all input files, and all output files (hint: the log file only exists on the submit node).
- Whether you'd like to request some extra memory or disk space, just in case
Look at the log
file for your blastx
job from Software exercise (1.1), and compare the memory and disk "Usage" to what you predicted
from the files.
Make sure to update the submit file with more accurate memory and disk requests. You may still want to request slightly
more than the job actually used.
Run the test job¶
Once you have finished editing the submit file, go ahead and submit the job.
It should take a few minutes to complete, and then you can check to make sure that no unwanted files (especially the
pdbaa
database files) were copied back at the end of the job.
Run a du -sh
on the directory with this job's input.
How does it compare to the directory from Software exercise (1.1), and why?
transfer_output_files¶
So far, we have used HTCondor's new file detection to transfer back
the newly created files. An alternative is to be explicit, using the
transfer_output_files
attribute in the submit file. The upside to this
approach is that you can pick to only transfer back a subset of the
created files. The downside is that you have to know which files are
created.
The first exercise is to modify the submit file from the previous
example, and add a line like (remember, before the queue
):
transfer_output_files = mouse.fa.result
You may also remove the last line in the blast_wrapper.sh
, the
rm pdbaa.*
as extra files are no longer an issue - those files
will be ignored because we used transfer_output_files
.
Submit the job, and make sure everything works. Did you get
any pdbaa.*
files back?
The next thing we should try is to see what happens if the
file we specify does not exist. Modify your submit file,
and change the transfer_output_files
to:
transfer_output_files = elephant.fa.result
Submit the job and see how it behaves. Did it finish successfully?
transfer_output_remaps¶
Related to transfer_output_files
is transfer_output_remaps
,
which allows us to rename outputs, or map the outputs to
a different storage system (will be explored in the next
module).
The format of the transfer_output_remaps
attribute is a
list of remaps, each remap taking the form of src=dst
.
The destination can be a local path, or a URL. For example:
transfer_output_remaps = "myresults.dat = s3://destination-server.com/myresults.dat"
If you have more than one remap, you can separate them with
;
By now, your blast-data
directory is probably starting
to look messy with a mix of submit files, input data,
log file and output data all intermingled. One improvement
could be to map our outputs to a separate directory. Create
a new directory named science-results
.
Add a transfer_output_remaps
line to the submit file.
It is common to place this line right after the
transfer_output_files
line. Change the
transfer_output_files
back to mouse.fa.result
.
Example:
transfer_output_files = mouse.fa.result
transfer_output_remaps =
Fill out the remap line, mapping mouse.fa.result
to the
destination science-results/mouse.fa.result
. Remember
that the transfer_output_remaps
value requires double
quotes around it.
Submit the job, and wait for it to complete. Was there any errors? Can you find mouse.fa.result?
Conclusions¶
In this exercise, you:
- Used your data requirements knowledge from the previous exercise to write a job.
- Executed the job on a remote worker node and took note of the data usage.
- Used
transfer_input_files
to transfer inputs - Used
transfer_output_files
to transfer outputs - Used
transfer_output_remaps
to map outputs to a different destination
When you've completed the above, continue with the next exercise.