# How do I get the remote url of my local files?
**URL:** https://discuss.dvc.org/t/how-do-i-get-the-remote-url-of-my-local-files/1707
**Category:** Questions
**Created:** [June 22, 2023, 3:51pm UTC](https://discuss.dvc.org/t/how-do-i-get-the-remote-url-of-my-local-files/1707 "2023-06-22T15:51:53Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@Kristen9](https://discuss.dvc.org/u/Kristen9)
#### Post date: [June 22, 2023, 3:51pm UTC](https://discuss.dvc.org/t/how-do-i-get-the-remote-url-of-my-local-files/1707/1 "2023-06-22T15:51:53Z")
Hi everyone.
I set up two remote storage locations (one for data storage and another for model storage) and examining them today, I managed to dvc push all my files to both locations. My intention was to specify for each file the remote location it should go to, not have all of them in both.
1. How can I check the remote storage location of a file? Since each file is saved in two locations, I am assuming the dvc file is connected to only one location, but I have been unable to confirm which one.
2. How can I properly clean up my remote storage so each file is stored only once in one of the two remote storage locations.
I am new to dvc so would appreciate any input. Thanks!
---
### Author:  [@pmrowla](https://discuss.dvc.org/u/pmrowla)
#### Post date: [June 23, 2023, 3:54am UTC](https://discuss.dvc.org/t/how-do-i-get-the-remote-url-of-my-local-files/1707/2 "2023-06-23T03:54:39Z")
> How can I check the remote storage location of a file?
You can use `dvc get --show-url` from the command line and `dvc.api.get_url` from the Python API to get the remote URL for files. Note that `dvc get --show-url` will only show the URL for your default remote, but the path for other remotes will be the same.
So if `get --show-url path/to/repo path/to/file` returns something like:
```auto
s3://models-remote/c8/d307aa005d6974a8525550956d5fb3
```
You can replace the first part of the URL with other remotes as needed, i.e. that file would also be stored in:
```auto
s3://data-remote/c8/d307aa005d6974a8525550956d5fb3
```
Please refer to the docs for more details:
> **[get](https://dvc.org/doc/command-reference/get#example-getting-the-storage-url-of-a-dvc-tracked-file)**
>
> Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
> **[get\_url()](https://dvc.org/doc/api-reference/get_url)**
>
> Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
> Since each file is saved in two locations, I am assuming the dvc file is connected to only one location, but I have been unable to confirm which one.
The .dvc file does not associate data with any specific remote by default. Data can be pushed and pulled to any remote, but commands like `dvc push` and `dvc pull` will use whichever remote you have configured as the default unless you specify a specific remote to use with the `-r/--remote` flags.
If you would like to specify a particular remote that should be used when pushing/pulling a particular file, you can manually set the `remote` field in the `.dvc` file. So you could have something like
model.dvc:
```auto
outs:
- md5: a304afb96060aad90176268345e10355
path: mymodel
remote: models-remote
```
data.dvc
```auto
outs:
- md5: a304afb96060aad90176268345e10355
path: mydata
remote: data-remote
```
> **[.dvc Files](https://dvc.org/doc/user-guide/project-structure/dvc-files#output-entries)**
>
> Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
> How can I properly clean up my remote storage so each file is stored only once in one of the two remote storage locations.
Regarding cleaning up your remote storage, `dvc gc -c` is what you normally use to clean up a remote, but in this case it may be easier for you to just manually remove the files you don’t want in each specific remote.
> **[gc](https://dvc.org/doc/command-reference/gc#removing-data-in-remote-storage)**
>
> Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.