Consolidate YAML files [part-7] (#9262)

* Consolidate YAML files [part-7]

This PR relocates YAML files used by Job/CronJob examples.

* Update examples_test.go

content/en/docs/tasks/job/automated-tasks-with-cron-jobs.md

@@ -43,7 +43,7 @@ component.
 Cron jobs require a config file.
 This example cron job config `.spec` file prints the current time and a hello message every minute:
 
-{{< code file="cronjob.yaml" >}}
+{{< codenew file="application/job/cronjob.yaml" >}}
 
 Run the example cron job by downloading the example file and then running this command:
 

content/en/docs/tasks/job/coarse-parallel-processing-work-queue.md

@@ -181,13 +181,13 @@ We will use the `amqp-consume` utility to read the message
 from the queue and run our actual program.  Here is a very simple
 example program:
 
-{{< code language="python" file="coarse-parallel-processing-work-queue/worker.py" >}}
+{{< codenew language="python" file="application/job/rabbitmq/worker.py" >}}
 
 Now, build an image.  If you are working in the source
 tree, then change directory to `examples/job/work-queue-1`.
 Otherwise, make a temporary directory, change to it,
-download the [Dockerfile](Dockerfile?raw=true),
-and [worker.py](worker.py?raw=true).  In either case,
+download the [Dockerfile](/examples/application/job/rabbitmq/Dockerfile),
+and [worker.py](/examples/application/job/rabbitmq/worker.py).  In either case,
 build the image with this command:
 
 ```shell
@@ -219,7 +219,7 @@ Here is a job definition.  You'll need to make a copy of the Job and edit the
 image to match the name you used, and call it `./job.yaml`.
 
 
-{{< code file="coarse-parallel-processing-work-queue/job.yaml" >}}
+{{< codenew file="application/job/rabbitmq/job.yaml" >}}
 
 In this example, each pod works on one item from the queue and then exits.
 So, the completion count of the Job corresponds to the number of work items

content/en/docs/tasks/job/fine-parallel-processing-work-queue.md

@@ -12,7 +12,6 @@ worker processes in a given pod.
 In this example, as each pod is created, it picks up one unit of work
 from a task queue, processes it, and repeats until the end of the queue is reached.
 
-
 Here is an overview of the steps in this example:
 
 1. **Start a storage service to hold the work queue.**  In this example, we use Redis to store
@@ -50,16 +49,27 @@ For this example, for simplicity, we will start a single instance of Redis.
 See the [Redis Example](https://github.com/kubernetes/examples/tree/master/guestbook) for an example
 of deploying Redis scalably and redundantly.
 
-Start a temporary Pod running Redis and a service so we can find it.
+If you are working from the website source tree, you can go to the following
+directory and start a temporary Pod running Redis and a service so we can find it.
 
 ```shell
-$ kubectl create -f docs/tasks/job/fine-parallel-processing-work-queue/redis-pod.yaml
+$ cd content/en/examples/application/job/redis
+$ kubectl create -f ./redis-pod.yaml
 pod "redis-master" created
-$ kubectl create -f docs/tasks/job/fine-parallel-processing-work-queue/redis-service.yaml
+$ kubectl create -f ./redis-service.yaml
 service "redis" created
 ```
 
-If you're not working from the source tree, you could also download [`redis-pod.yaml`](redis-pod.yaml?raw=true) and [`redis-service.yaml`](redis-service.yaml?raw=true) directly.
+If you're not working from the source tree, you could also download the following
+files directly:
+
+- [`redis-pod.yaml`](/examples/application/job/redis/redis-pod.yaml)
+- [`redis-service.yaml`](/examples/application/job/redis/redis-service.yaml)
+- [`Dockerfile`](/examples/application/job/redis/Dockerfile)
+- [`job.yaml`](/examples/application/job/redis/job.yaml)
+- [`rediswq.py`](/examples/application/job/redis/rediswq.py)
+- [`worker.py`](/examples/application/job/redis/worker.py)
+
 
 ## Filling the Queue with tasks
 
@@ -122,17 +132,19 @@ We will use a python worker program with a redis client to read
 the messages from the message queue.
 
 A simple Redis work queue client library is provided,
-called rediswq.py ([Download](rediswq.py?raw=true)).
+called rediswq.py ([Download](/examples/application/job/redis/rediswq.py)).
 
 The "worker" program in each Pod of the Job uses the work queue
 client library to get work.  Here it is:
 
-{{< code language="python" file="fine-parallel-processing-work-queue/worker.py" >}}
+{{< codenew language="python" file="application/job/redis/worker.py" >}}
 
-If you are working from the source tree,
-change directory to the `docs/tasks/job/fine-parallel-processing-work-queue/` directory.
-Otherwise, download [`worker.py`](worker.py?raw=true), [`rediswq.py`](rediswq.py?raw=true), and [`Dockerfile`](Dockerfile?raw=true)
-using above links. Then build the image:
+If you are working from the source tree, change directory to the
+`content/en/examples/application/job/redis/` directory.
+Otherwise, download [`worker.py`](/examples/application/job/redis/worker.py),
+[`rediswq.py`](/examples/application/job/redis/rediswq.py), and
+[`Dockerfile`](/examples/application/job/redis/Dockerfile) files, then build
+the image:
 
 ```shell
 docker build -t job-wq-2 .
@@ -166,7 +178,7 @@ gcloud docker -- push gcr.io/<project>/job-wq-2
 
 Here is the job definition:
 
-{{< code file="fine-parallel-processing-work-queue/job.yaml" >}}
+{{< codenew file="application/job/redis/job.yaml" >}}
 
 Be sure to edit the job template to
 change `gcr.io/myproject` to your own path.

content/en/docs/tasks/job/parallel-processing-expansion.md

@@ -18,9 +18,9 @@ non-parallel, use of [Jobs](/docs/concepts/jobs/run-to-completion-finite-workloa
 
 ## Basic Template Expansion
 
-First, download the following template of a job to a file called `job.yaml`
+First, download the following template of a job to a file called `job-tmpl.yaml`
 
-{{< code file="job.yaml" >}}
+{{< codenew file="application/job/job-tmpl.yaml" >}}
 
 Unlike a *pod template*, our *job template* is not a Kubernetes API type.  It is just
 a yaml representation of a Job object that has some placeholders that need to be filled
@@ -47,7 +47,7 @@ Next, expand the template into multiple files, one for each item to be processed
 $ mkdir ./jobs
 $ for i in apple banana cherry
 do
-  cat job.yaml | sed "s/\$ITEM/$i/" > ./jobs/job-$i.yaml
+  cat job-tmpl.yaml | sed "s/\$ITEM/$i/" > ./jobs/job-$i.yaml
 done
 ```
 
@@ -195,4 +195,4 @@ If you have a large number of job objects, you may find that:
 In this case, you can consider one of the
 other [job patterns](/docs/concepts/jobs/run-to-completion-finite-workloads/#job-patterns).
 
-{{% /capture %}}
+{{% /capture %}}

test/examples_test.go

@@ -443,14 +443,14 @@ func TestExampleObjectSchemas(t *testing.T) {
 			"secret-envars-pod":           {&api.Pod{}},
 			"secret-pod":                  {&api.Pod{}},
 		},
-		"docs/tasks/job": {
-			"cronjob": {&batch.CronJob{}},
-			"job":     {&batch.Job{}},
+		"examples/application/job": {
+			"job-tmpl":     {&batch.Job{}},
+			"cronjob":     {&batch.CronJob{}},
 		},
-		"docs/tasks/job/coarse-parallel-processing-work-queue": {
-			"job": {&batch.Job{}},
+		"examples/application/job/rabbitmq": {
+			"job":   {&batch.Job{}},
 		},
-		"docs/tasks/job/fine-parallel-processing-work-queue": {
+		"examples/application/job/redis": {
 			"job":           {&batch.Job{}},
 			"redis-pod":     {&api.Pod{}},
 			"redis-service": {&api.Service{}},