4 title: "Running a pipeline on the command line"
7 This tutorial demonstrates how to use the command line to run the same pipeline as described in "running a pipeline using Workbench.":{{site.baseurl}}/user/tutorials/tutorial-pipeline-workbench.html
9 {% include 'tutorial_expectations' %}
11 When you use the command line, you must use Arvados unique identifiers to refer to objects. The identifiers in this example correspond to the following Arvados objects:
13 * <i class="fa fa-fw fa-gear"></i> "Tutorial align using bwa mem (qr1hi-p5p6p-itzkwxblfermlwv)":https://{{ site.arvados_workbench_host }}/pipeline_templates/qr1hi-p5p6p-itzkwxblfermlwv
14 * <i class="fa fa-fw fa-archive"></i> "Tutorial chromosome 19 reference (2463fa9efeb75e099685528b3b9071e0+438)":https://{{ site.arvados_workbench_host }}/collections/2463fa9efeb75e099685528b3b9071e0+438
15 * <i class="fa fa-fw fa-archive"></i> "Tutorial sample exome (3229739b505d2b878b62aed09895a55a+142)":https://{{ site.arvados_workbench_host }}/collections/3229739b505d2b878b62aed09895a55a+142
17 Use @arv pipeline run@ to run the pipeline, supplying the inputs to the bwa-mem component on the command line:
20 <pre><code>~$ <span class="userinput">arv pipeline run --run-pipeline-here --template qr1hi-p5p6p-itzkwxblfermlwv bwa-mem::reference_collection=2463fa9efeb75e099685528b3b9071e0+438 bwa-mem::sample=3229739b505d2b878b62aed09895a55a+142</span>
22 2014-07-25 18:05:26 +0000 -- pipeline_instance qr1hi-d1hrv-d14trje19pna7f2
23 bwa-mem qr1hi-8i9sb-67n1qvsronmd2z6 queued 2014-07-25T18:05:25Z
25 2014-07-25 18:05:36 +0000 -- pipeline_instance qr1hi-d1hrv-d14trje19pna7f2
26 bwa-mem qr1hi-8i9sb-67n1qvsronmd2z6 {:done=>0, :running=>1, :failed=>0, :todo=>0}
28 2014-07-25 18:05:46 +0000 -- pipeline_instance qr1hi-d1hrv-d14trje19pna7f2
29 bwa-mem qr1hi-8i9sb-67n1qvsronmd2z6 49bae1066f4ebce72e2587a3efa61c7d+88
33 This instantiates your pipeline and displays periodic status reports in your terminal window. The new pipeline instance will also show up on the Workbench Dashboard.
35 @arv pipeline run@ submits a job for each pipeline component as soon as the component's inputs are known (i.e., any dependencies are satsified). It terminates when there is no work left to do: this means either all components are satisfied and all jobs have completed successfully, _or_ one or more jobs have failed and it is therefore unproductive to submit any further jobs.
37 The Keep locators of the output of of the @bwa-mem@ components are available from the last status report shown above:
40 <pre><code>~$ <span class="userinput">arv keep ls -s 49bae1066f4ebce72e2587a3efa61c7d+88</span>
41 29226 ./HWI-ST1027_129_D0THKACXX.1_1.sam
45 h2. Re-using existing jobs and outputs
47 When satisfying a pipeline component that is not marked as nondeterministic in the pipeline template, @arv pipeline run@ checks for a previously submitted job that satisfies the component's requirements. If such a job is found, @arv pipeline run@ uses the existing job rather than submitting a new one. Usually this is a safe way to conserve time and compute resources. In some cases it's desirable to re-run jobs with identical specifications (e.g., to demonstrate that a job or entire pipeline thought to be repeatable is in fact repeatable). For such cases, job re-use features can be disabled entirely by passing the @--no-reuse@ flag to the @arv pipeline run@ command.