Upload
Introduction
mu2e has several forms of disk space available and large aggregated data disk systems are available in dCache. But we also write a large part of the files we produce to tape, which is less expensive, and can hold much more data. We usually write data to tape for one or more of the following reasons
- to make room for new activity
- to keep it safe for longer than a few months
- to make a permanent record
The tape system is called enstore and consists of several tape libraries and many tape drives with good connections to dCache. We write to tape by copying files into tape-backed dCache and they are copied automatically to tape. The files will, on the scale of weeks if they are unused, be deleted off disk so they are only on tape. We can get them copied from tape to disk again by prestaging them.
All data written to tape must follow conventions and must be written through production scripts. Please familiarize yourself with the links in this list.
- all files are named by mu2e name conventions
- all files will have a SAM record with SAM metadata, including file location in dCache
- all files are uploaded using standard tools, see especially jsonMaker.
The following are the common workflow cases.
Upload steps
Generally there are the following steps:
- choose the appropriate tape file family
- rename the files by the standard convention
- use jsonMaker to generate a json file containing the SAM metadata for each data file.
- declare the files to SAM using
mu2eFileDeclare
- copy the files to tape-backed dCache using
mu2eFileUpload
- include the final tape location into the SAM record, using
mu2eDatasetLocation
Please also see the comments about file sizes in the job planning page.
In the standard MC workflow, the first 3 steps are done for you by the scripts. Please skip down to that specific workflow for the remainder.
For uploading the log files in the standard MC workflow, the first 3 steps are done for you by the scripts. Please skip down to that specific workflow for the remainder.
For uploading random files, please see that workflow
Random files
- Please see file family documentation to choose a file family. The result should be a string like "usr-sim".
- Please see file names documentation. You should end up with a 5-dot dataset name like these examples sim.batman.beam-mytarget.v0.art bck.batman.node123.2014-06-04.tgz Here "batman" represents your username.
- Generate the metadata file for the data file. Setup:
- Declare files to SAM ls *.json | mu2eFileDeclare
- move the files to tape-backed dCache: ls *.art | mu2eFileUpload --tape
- After a day or two, come back to the project. By this time, the files will have migrated to tape, and you can record the final tape location: mu2eDatasetLocation --add=tape <dataset> Since it is hard to predict exactly when all files will go to tape, you may need to re-run this command occasionally until you get the message "Nothing to do".
(setup an appropriate Offline version) setup dhtools
and generate the json files
jsonMaker -f <file family> -v 5 -e -x -r <dataset name with 6 fields> <list of datafiles>
You can control the verbosity with the number following the -v
. Without the -x
, the program will read the file and print results, but not make any changes. The meaning of "dataset name with 6 fields" means take your dataset name like "sim.batman.beam-mytarget.v0.art" and write with an extra dot, like: "sim.batman.beam-mytarget.v0..art" which indicates the missing sequencer. (This quirk in writing a dataset name be changed to the normal dataset name in the future.)
The result for an art file will be like:
> ls -1 mysim_000.art mysim_001.art jsonMaker -f usr-sim -v 0 -e -x -r sim.batman.beam-mytarget.v0..art *.art ... > ls -1 sim.batman.beam-mytarget.v0.00001002_000005.art sim.batman.beam-mytarget.v0.00001002_000005.art.json sim.batman.beam-mytarget.v0.00001002_000016.art sim.batman.beam-mytarget.v0.00001002_000016.art.json
The files have been renamed and the json files produced. The sequencer
field has been filled appropriately according to the conventions.
The command for a different type of file, like a backup tarball might look like:
> ls -1 my* my_backup_disk0.tgz my_backup_disk2.tgz > jsonMaker -f usr-etc -v 5 -e -r bck.batman.node123.2014-06-04..tgz -x my* ... > ls -1 bck* bck.batman.node123.2014-06-04.0000.tgz bck.batman.node123.2014-06-04.0000.tgz.json bck.batman.node123.2014-06-04.0001.tgz bck.batman.node123.2014-06-04.0001.tgz.json
MC workflow, art files
In the standard MC workflow, there are three times you might upload files:
- after generating the fcl, uploading the fcl files is part of that procedure
- after producing art files (including concatenation if needed), this is described in this section
- upload log files are archive, which is handled here
After the jobs have completed, the output datasets will be below a directory like the following, where you will be working:
cd /pnfs/mu2e/persistent/users/mu2epro/workflow/project_name/good
Below this directory, there are directories for each cluster, and below that directories for each job. Each output art file named "a.b.c.d.e.f" should have a associated json file called "a.b.c.d.e.f.json" produced as part of the grid job and containing the SAM record metadata.
There are two steps. First, declare the files to the SAM database
mu2eClusterFileList --dsname <dataset> --json <cluster_number> | mu2eFileDeclare
where dataset
is the dataset name of the files to find and upload and
the cluster_directory
is one of the cluster subdirectories.
The second step is to move the files to the final location in tape-backed dCache:
mu2eClusterFileList --dsname <dataset> <cluster_directory> | mu2eFileUpload --tape
The third step is to tell SAM where the files are in the tape system, to add their "location" to the SAM record.
mu2eDatasetLocation --add=tape <dataset>
Since it takes about a day, or sometimes more, for a file to migrate to tape and establish its tape location, after being copied to tape-backed Cache, it makes sense to wait a day before running this command
This command should be as many times as needed in order to get the "Nothing to do" message, which means all the files in the dataset now have their location recorded:
> mu2eDatasetLocation --add=tape sim.mu2e.cd3-pions-cs1.v563.art No virtual files in dataset sim.mu2e.cd3-pions-cs1.v563.art. Nothing to do on Mon Nov 21 18:11:29 2016. SAMWeb times: query metadata = 0.00 s, update location = 0.00 s Summary1: out of 0 virtual dataset files 0 were not found on tape. Summary2: successfully verified 0 files, added locations for 0 files. Summary3: found 0 corrupted files and 0 files without tape labels.
MC workflow, log files
After the desired datasets have been extracted from job outputs in
a good
area the mu2eClusterArchive
can be
used to save the rest of the files, usually logs and histograms, to tape.
The mu2eClusterArchive
script by default archives job logs. "Non-interesting" files, such as the TFileService file with names like "nts.*.root"
can either be deleted with e.g.
mu2eClusterFileList --dsname <nts dataset name> <cluster directory> | xargs rm -f mu2eClusterFileList --dsname <nts dataset name> --json <cluster directory> | xargs rm -f
or archived together with the logs (the recommended production procedure):
> mu2eClusterArchive --allow nts.gandr.cd3-pions-g4s1.v567.root <cluster directory> 1 Mon Nov 21 17:59:05 2016 Working on /pnfs/mu2e/scratch/users/gandr/workflow/pion-test/archiving/20161121-1759-bwOu/11986465 Mon Nov 21 17:59:06 2016 Try 1: archiving /pnfs/mu2e/scratch/users/gandr/workflow/pion-test/archiving/20161121-1759-bwOu/11986465 Mon Nov 21 17:59:06 2016 Archiving /pnfs/mu2e/scratch/users/gandr/workflow/pion-test/archiving/20161121-1759-bwOu/11986465 Mon Nov 21 17:59:06 2016 Registering /pnfs/mu2e/tape/usr-etc/bck/gandr/my-test-s1/v567/tbz/f4/9e/bck.gandr.my-test-s1.v567.002700_00000001.tbz in SAM Creating a dataset definition for bck.gandr.my-test-s1.v567.tbz Mon Nov 21 17:59:07 2016 Removing /pnfs/mu2e/scratch/users/gandr/workflow/pion-test/archiving/20161121-1759-bwOu/11986465 Done archiving 1 directories. Encountered 0 tar errors.
Note that the directory to be archived is moved
from good
into a parallel subdirectory
of archiving
before any processing is
done. This is to prevent race conditions with other scripts that
can be working on the same files. If you get an error from
mu2eClusterArchive
, you can recover by moving directory
back into "good" before trying to archive it again.
To record tape label information for a recently archived dataset:
mu2eDatasetLocation --add=tape bck.gandr.my-test-s1.v567.tbz
If there is no tape label, re-run the command later. You may need to wait a day before a new file acquires a tape label.