~/arvados/doc/user/cwl/bwa-mem$ arvados-cwl-runner bwa-mem.cwl bwa-mem-input.yml
arvados-cwl-runner 1.0.20160628195002, arvados-python-client 0.1.20160616015107, cwltool 1.0.20160629140624
2016-06-30 14:56:36 arvados.arv-run[27002] INFO: Upload local files: "bwa-mem.cwl"
2016-06-30 14:56:36 arvados.arv-run[27002] INFO: Uploaded to zzzzz-4zz18-h7ljh5u76760ww2
2016-06-30 14:56:40 arvados.cwl-runner[27002] INFO: Submitted job zzzzz-8i9sb-fm2n3b1w0l6bskg
2016-06-30 14:56:41 arvados.cwl-runner[27002] INFO: Job bwa-mem.cwl (zzzzz-8i9sb-fm2n3b1w0l6bskg) is Running
2016-06-30 14:57:12 arvados.cwl-runner[27002] INFO: Job bwa-mem.cwl (zzzzz-8i9sb-fm2n3b1w0l6bskg) is Complete
2016-06-30 14:57:12 arvados.cwl-runner[27002] INFO: Overall process status is success
{
"aligned_sam": {
"location": "keep:54325254b226664960de07b3b9482349+154/HWI-ST1027_129_D0THKACXX.1_1.sam",
"checksum": "sha1$0dc46a3126d0b5d4ce213b5f0e86e2d05a54755a",
"class": "File",
"size": 30738986
}
}
h3. Referencing files
When running a workflow on an Arvados cluster, the input files must be stored in Keep. There are several ways this can happen.
A URI reference to Keep uses the @keep:@ scheme followed by either the portable data hash or UUID of the collection and then the location of the file inside the collection. For example, @keep:2463fa9efeb75e099685528b3b9071e0+438/19.fasta.bwt@ or @keep:zzzzz-4zz18-zzzzzzzzzzzzzzz/19.fasta.bwt@.
If you reference a file in "arv-mount":{{site.baseurl}}/user/tutorials/tutorial-keep-mount-gnu-linux.html, such as @/home/example/keep/by_id/2463fa9efeb75e099685528b3b9071e0+438/19.fasta.bwt@, then @arvados-cwl-runner@ will automatically determine the appropriate Keep URI reference.
If you reference a local file which is not in @arv-mount@, then @arvados-cwl-runner@ will upload the file to Keep and use the Keep URI reference from the upload.
You can also execute CWL files that have been uploaded Keep:
~/arvados/doc/user/cwl/bwa-mem$ arv-put --portable-data-hash --name "bwa-mem.cwl" bwa-mem.cwl
2020-08-20 13:40:02 arvados.arv_put[12976] INFO: Collection saved as 'bwa-mem.cwl'
f141fc27e7cfa7f7b6d208df5e0ee01b+59
~/arvados/doc/user/cwl/bwa-mem$ arvados-cwl-runner keep:f141fc27e7cfa7f7b6d208df5e0ee01b+59/bwa-mem.cwl bwa-mem-input.yml
arvados-cwl-runner 1.0.20160628195002, arvados-python-client 0.1.20160616015107, cwltool 1.0.20160629140624
2016-06-30 14:56:36 arvados.arv-run[27002] INFO: Uploaded to zzzzz-4zz18-h7ljh5u76760ww2
2016-06-30 14:56:40 arvados.cwl-runner[27002] INFO: Submitted job zzzzz-8i9sb-fm2n3b1w0l6bskg
2016-06-30 14:56:41 arvados.cwl-runner[27002] INFO: Job bwa-mem.cwl (zzzzz-8i9sb-fm2n3b1w0l6bskg) is Running
2016-06-30 14:57:12 arvados.cwl-runner[27002] INFO: Job bwa-mem.cwl (zzzzz-8i9sb-fm2n3b1w0l6bskg) is Complete
2016-06-30 14:57:12 arvados.cwl-runner[27002] INFO: Overall process status is success
{
"aligned_sam": {
"location": "keep:54325254b226664960de07b3b9482349+154/HWI-ST1027_129_D0THKACXX.1_1.sam",
"checksum": "sha1$0dc46a3126d0b5d4ce213b5f0e86e2d05a54755a",
"class": "File",
"size": 30738986
}
}
Note: uploading a workflow file to Keep is _not_ the same as registering the workflow for use in Workbench. See "Registering a workflow to use in Workbench":#registering below.
h3. Work reuse
Workflows submitted with @arvados-cwl-runner@ will take advantage of Arvados job reuse. If you submit a workflow which is identical to one that has run before, it will short cut the execution and return the result of the previous run. This also applies to individual workflow steps. For example, a two step workflow where the first step has run before will reuse results for first step and only execute the new second step. You can disable this behavior with @--disable-reuse@.
h3(#docker). Docker images
Docker images referenced by the workflow must be uploaded to Arvados. This requires @docker@ to be installed and usable by the user running @arvados-cwl-runner@. If the image is not present in the local Docker instance, @arvados-cwl-runner@ will first attempt to pull the image using @docker pull@, then upload it.
If there is already a Docker image in Arvados with the same name, it will use the existing image. In this case, the submitter will not use Docker.
The @--match-submitter-images@ option will check the id of the image in the local Docker instance and compare it to the id of the image already in Arvados with the same name and tag. If they are different, it will choose the image matching the local image id, which will be uploaded it if necessary. This helpful for development, if you locally rebuild the image with the 'latest' tag, the @--match-submitter-images@ will ensure that the newer version is used.
h3(#dependencies). Dependencies
Dependencies include collections and Docker images referenced by the workflow. Dependencies are automatically uploaded by @arvados-cwl-runner@ if they are not present or need to be updated. When running a workflow, dependencies that already exist somewhere on the Arvados instance (from a previous upload) will not be uploaded or copied, regardless of the project they are located in. Sometimes this creates problems when sharing a workflow run with others. In this case, use @--copy-deps@ to indicate that you want all dependencies to be copied into the destination project (specified by @--project-uuid@).
h3. Command line options
See "arvados-cwl-runner options":{{site.baseurl}}/user/cwl/cwl-run-options.html
h2(#registering). Registering a workflow to use in Workbench
Use @--create-workflow@ to register a CWL workflow with Arvados. Use @--project-uuid@ to upload the workflow to a specific project, along with its dependencies. You can share the workflow with other Arvados users by sharing that project. You can run the workflow by clicking the @ to update an existing workflow.
~/arvados/doc/user/cwl/bwa-mem$ arvados-cwl-runner --update-workflow zzzzz-p5p6p-zuniv58hn8d0qd8 bwa-mem.cwl
arvados-cwl-runner 1.0.20160628195002, arvados-python-client 0.1.20160616015107, cwltool 1.0.20160629140624
2016-07-01 12:21:01 arvados.arv-run[15796] INFO: Upload local files: "bwa-mem.cwl"
2016-07-01 12:21:01 arvados.arv-run[15796] INFO: Uploaded to zzzzz-4zz18-7e0hedrmkuyoei3
2016-07-01 12:21:01 arvados.cwl-runner[15796] INFO: Created template zzzzz-p5p6p-zuniv58hn8d0qd8
zzzzz-p5p6p-zuniv58hn8d0qd8
When using @--create-workflow@ or @--update-workflow@, the @--copy-deps@ and @--match-submitter-images@ options are enabled by default.
h3. Running registered workflows at the command line
You can run a registered workflow at the command line by its UUID:
~/arvados/doc/user/cwl/bwa-mem$ arvados-cwl-runner pirca-7fd4e-3nqbw08vtjl8ybz --help
INFO /home/peter/work/scripts/venv3/bin/arvados-cwl-runner 2.1.0.dev20200814195416, arvados-python-client 2.1.0.dev20200814195416, cwltool 3.0.20200807132242
INFO Resolved 'pirca-7fd4e-3nqbw08vtjl8ybz' to 'arvwf:pirca-7fd4e-3nqbw08vtjl8ybz#main'
usage: pirca-7fd4e-3nqbw08vtjl8ybz [-h] [--PL PL] [--group_id GROUP_ID]
[--read_p1 READ_P1] [--read_p2 READ_P2]
[--reference REFERENCE]
[--sample_id SAMPLE_ID]
[job_order]
positional arguments:
job_order Job input json file
optional arguments:
-h, --help show this help message and exit
--PL PL
--group_id GROUP_ID
--read_p1 READ_P1 The reads, in fastq format.
--read_p2 READ_P2 For mate paired reads, the second file (optional).
--reference REFERENCE
The index files produced by `bwa index`
--sample_id SAMPLE_ID
h2(#executable). Make a workflow file directly executable
You can make a workflow file directly executable (@cwl-runner@ should be an alias to @arvados-cwl-runner@) by adding the following line to the top of the file:
#!/usr/bin/env cwl-runner
~/arvados/doc/user/cwl/bwa-mem$ ./bwa-mem.cwl bwa-mem-input.yml
arvados-cwl-runner 1.0.20160628195002, arvados-python-client 0.1.20160616015107, cwltool 1.0.20160629140624
2016-06-30 14:56:36 arvados.arv-run[27002] INFO: Upload local files: "bwa-mem.cwl"
2016-06-30 14:56:36 arvados.arv-run[27002] INFO: Uploaded to zzzzz-4zz18-h7ljh5u76760ww2
2016-06-30 14:56:40 arvados.cwl-runner[27002] INFO: Submitted job zzzzz-8i9sb-fm2n3b1w0l6bskg
2016-06-30 14:56:41 arvados.cwl-runner[27002] INFO: Job bwa-mem.cwl (zzzzz-8i9sb-fm2n3b1w0l6bskg) is Running
2016-06-30 14:57:12 arvados.cwl-runner[27002] INFO: Job bwa-mem.cwl (zzzzz-8i9sb-fm2n3b1w0l6bskg) is Complete
2016-06-30 14:57:12 arvados.cwl-runner[27002] INFO: Overall process status is success
{
"aligned_sam": {
"path": "keep:54325254b226664960de07b3b9482349+154/HWI-ST1027_129_D0THKACXX.1_1.sam",
"checksum": "sha1$0dc46a3126d0b5d4ce213b5f0e86e2d05a54755a",
"class": "File",
"size": 30738986
}
}
You can even make an input file directly executable the same way with the following two lines at the top:
#!/usr/bin/env cwl-runner
cwl:tool: bwa-mem.cwl
~/arvados/doc/user/cwl/bwa-mem$ ./bwa-mem-input.yml
arvados-cwl-runner 1.0.20160628195002, arvados-python-client 0.1.20160616015107, cwltool 1.0.20160629140624
2016-06-30 14:56:36 arvados.arv-run[27002] INFO: Upload local files: "bwa-mem.cwl"
2016-06-30 14:56:36 arvados.arv-run[27002] INFO: Uploaded to zzzzz-4zz18-h7ljh5u76760ww2
2016-06-30 14:56:40 arvados.cwl-runner[27002] INFO: Submitted job zzzzz-8i9sb-fm2n3b1w0l6bskg
2016-06-30 14:56:41 arvados.cwl-runner[27002] INFO: Job bwa-mem.cwl (zzzzz-8i9sb-fm2n3b1w0l6bskg) is Running
2016-06-30 14:57:12 arvados.cwl-runner[27002] INFO: Job bwa-mem.cwl (zzzzz-8i9sb-fm2n3b1w0l6bskg) is Complete
2016-06-30 14:57:12 arvados.cwl-runner[27002] INFO: Overall process status is success
{
"aligned_sam": {
"path": "keep:54325254b226664960de07b3b9482349+154/HWI-ST1027_129_D0THKACXX.1_1.sam",
"checksum": "sha1$0dc46a3126d0b5d4ce213b5f0e86e2d05a54755a",
"class": "File",
"size": 30738986
}
}
h2(#setup). Setting up arvados-cwl-runner
See "Arvados CWL Runner":{{site.baseurl}}/sdk/python/arvados-cwl-runner.html