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Add examples of prune by label 

Signed-off-by: Misty Stanley-Jones <misty@docker.com>
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Misty Stanley-Jones 2018-01-30 11:25:53 -08:00
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docs/reference/commandline/image_prune.md
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@ -95,6 +95,19 @@ which removes images with the specified labels. The other
format is the `label!=...` (`label!=<key>` or `label!=<key>=<value>`), which removes
images without the specified labels.
> **Predicting what will be removed**
>
> If you are using positive filtering (testing for the existence of a label or
> that a label has a specific value), you can use `docker image ls` with the
> same filtering syntax to see which images match your filter.
>
> However, if you are using negative filtering (testing for the absence of a
> label or that a label does *not* have a specific value), this type of filter
> does not work with `docker image ls` so you cannot easily predict which images
> will be removed. In addition, the confirmation prompt for `docker image prune`
> always warns that *all* dangling images will be removed, even if you are using
> `--filter`.
The following removes images created before `2017-01-04T00:00:00`:
```bash
@ -162,6 +175,35 @@ alpine latest 88e169ea8f46 8 days ago
busybox latest e02e811dd08f 2 months ago 1.09 MB
```
The following example removes images with the label `deprecated`:
```bash
$ docker image prune --filter="label=deprecated"
```
The following example removes images with the label `maintainer` set to `john`:
```bash
$ docker image prune --filter="label=maintainer=john"
```
This example removes images which have no `maintainer` label:
```bash
$ docker image prune --filter="label!=maintainer"
```
This example removes images which have a maintainer label not set to `john`:
```bash
$ docker image prune --filter="label!=maintainer=john"
```
> **Note**: You are prompted for confirmation before the `prune` removes
> anything, but you are not shown a list of what will potentially be removed.
> In addition, `docker image ls` does not support negative filtering, so it
> difficult to predict what images will actually be removed.
## Related commands
* [system df](system_df.md)