* @"repository"@, @"script_version"@, and @"script"@ indicate that we intend to use the external @"run-command"@ tool wrapper that is part of the Arvados. These parameters are described in more detail in "Writing a script":tutorial-firstscript.html.
* @"runtime_constraints"@ describes runtime resource requirements for the component.
** @"docker_image"@ specifies the "Docker":https://www.docker.com/ runtime environment in which to run the job. The Docker image @"bcosc/arv-base-java"@ supplied here has the Java runtime environment, bwa, and samtools installed.
-** @"arvados_sdk_version"@ specifies a version of the Arvados SDK to load alongside the job's script.
+** @"arvados_sdk_version"@ specifies a version of the Arvados SDK to load alongside the job's script. The example uses 'master'. If you would like to use a specific version of the sdk, you can find it in the "Arvados Python sdk repository":https://dev.arvados.org/projects/arvados/repository/revisions/master/show/sdk/python under *Latest revisions*.
* @"script_parameters"@ describes the component parameters.
** @"command"@ is the actual command line to invoke the @bwa@ and then @SortSam@. The notation @$()@ denotes macro substitution commands evaluated by the run-command tool wrapper.
** @"task.stdout"@ indicates that the output of this command should be captured to a file.
See the "run-command reference":{{site.baseurl}}/user/topics/run-command.html for more information about using @run-command@.
+*Note:* When trying to get job reproducibility without re-computation, you need to set these parameters to their specific hashes. Using a version such as master in @"arvados_sdk_version"@ will grab the latest version hash, which will allow Arvados to re-compute your job if the sdk gets updated.
+* @"arvados_sdk_version"@ : The latest version can be found on the "Arvados Python sdk repository":https://dev.arvados.org/projects/arvados/repository/revisions/master/show/sdk/python under *Latest revisions*.
+* @"script_version"@ : The current version of your script in your git repository can be found by using the following command:
+
+<notextile>
+<pre><code>~$ <span class="userinput">git rev-parse HEAD</span></code></pre>
+</notextile>
+
+* @"docker_image"@ : The docker image hash used is found on the "Collection page":https://cloud.curoverse.com/collections/qr1hi-4zz18-dov6im679g3jr1n as the *Content address*.
+
h2. Running your pipeline
Your new pipeline template should appear at the top of the Workbench "pipeline templates":{{site.arvados_workbench_host}}/pipeline_templates page. You can run your pipeline "using Workbench":tutorial-pipeline-workbench.html or the "command line.":{{site.baseurl}}/user/topics/running-pipeline-command-line.html
* Choose <i class="fa fa-fw fa-archive"></i> "Tutorial sample exome (3229739b505d2b878b62aed09895a55a+142)":{{site.arvados_workbench_host}}/collections/3229739b505d2b878b62aed09895a55a+142 for the "sample" parameter
For more information and examples for writing pipelines, see the "pipeline template reference":{{site.baseurl}}/api/schema/PipelineTemplate.html
+
+h2. Re-using your pipeline run
+
+Arvados allows users to re-use jobs that have the same inputs in order to save computing time and resources. Users are able to change a job downstream without re-computing earlier jobs. This section shows which version control parameters should be tuned to make sure Arvados will not re-compute your jobs.
+
+Note: Job reuse can only happen if all input collections do not change.
+
+* @"arvados_sdk_version"@ : The arvados_sdk_version parameter is used to download the specific version of the Arvados sdk into the docker image. The latest version can be found in the "Arvados Python sdk repository":https://dev.arvados.org/projects/arvados/repository/revisions/master/show/sdk/python under *Latest revisions*. Make sure you set this to the same version as the previous run that you are trying to reuse.
+* @"script_version"@ : The script_version is the commit hash of the git branch that the crunch script resides in. This information can be found in your git repository by using the following command:
+
+<notextile>
+<pre><code>~$ <span class="userinput">git rev-parse HEAD</span></code></pre>
+</notextile>
+
+* @"docker_image"@ : This specifies the "Docker":https://www.docker.com/ runtime environment where jobs run their scripts. Docker version control is similar to git, and you can commit and push changes to your images. You must re-use the docker image hash from the previous run to use the same image. It can be found on the "Collection page":https://cloud.curoverse.com/collections/qr1hi-4zz18-dov6im679g3jr1n as the *Content address* or the *docker_image_locator* in a job's metadata.
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