Typos and englishify user-guide
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@@ -54,7 +54,7 @@ job-banana.yaml
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job-cherry.yaml
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```
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Here, we used `sed` to replace the string `$ITEM` with the the loop variable.
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Here, we used `sed` to replace the string `$ITEM` with the loop variable.
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You could use any type of template language (jinja2, erb) or write a program
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to generate the Job objects.
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@@ -122,8 +122,7 @@ root@temp-loe07:/#
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```
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In the last command, the `amqp-consume` tool takes one message (`-c 1`)
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from the queue, and passes that message to the standard input of an
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an arbitrary command. In this case, the program `cat` is just printing
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from the queue, and passes that message to the standard input of an arbitrary command. In this case, the program `cat` is just printing
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out what it gets on the standard input, and the echo is just to add a carriage
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return so the example is readable.
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@@ -169,7 +168,7 @@ example program:
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{% include code.html language="python" file="worker.py" ghlink="/docs/user-guide/job/work-queue-1/worker.py" %}
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Now, build an an image. If you are working in the source
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Now, build an image. If you are working in the source
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tree, then change directory to `examples/job/work-queue-1`.
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Otherwise, make a temporary directory, change to it,
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download the [Dockerfile](Dockerfile?raw=true),
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@@ -275,7 +274,7 @@ not all items will be processed.
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If the number of completions is set to more than the number of items in the queue,
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then the Job will not appear to be completed, even though all items in the queue
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have been processed. It will start additional pods which will block waiting
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for a mesage.
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for a message.
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There is an unlikely race with this pattern. If the container is killed in between the time
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that the message is acknowledged by the amqp-consume command and the time that the container
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@@ -31,7 +31,7 @@ Here is an overview of the steps in this example:
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For this example, for simplicitly, we will start a single instance of Redis.
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See the [Redis Example](https://github.com/kubernetes/kubernetes/tree/{{page.githubbranch}}/examples/redis/README.md) for an example
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of deploying Redis scaleably and redundantly.
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of deploying Redis scalably and redundantly.
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Start a temporary Pod running Redis and a service so we can find it.
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