Supported Operations¶

The Pachyderm S3 gateway supports the following operations:

Create buckets: Creates a repo and branch.
Delete buckets: Deletes a branch or a repo with all branches.
List buckets: Lists all branches on all repos as S3 buckets.
Write objects: Atomically overwrites a file on a branch.
Remove objects: Atomically removes a file on a branch.
List objects: Lists the files in the HEAD of a branch.
Get objects: Gets file contents on a branch.

List Filesystem Objects¶

If you have configured your S3 client correctly, you should be able to see the list of filesystem objects in your Pachyderm repository by running an S3 client ls command. To list filesystem objects, complete the following steps:

Verify that your S3 client can access all of your Pachyderm repositories:

If you are using MinIO, type:

mc ls local

System Response:

[2019-07-12 15:09:50 PDT]      0B master.train/
[2019-07-12 14:58:50 PDT]      0B master.pre_process/
[2019-07-12 14:58:09 PDT]      0B master.split/
[2019-07-12 14:58:09 PDT]      0B stats.split/
[2019-07-12 14:36:27 PDT]      0B master.raw_data/

If you are using AWS, type:

aws --endpoint-url http://localhost:30600 s3 ls

System Response:

2019-07-12 15:09:50 master.train
2019-07-12 14:58:50 master.pre_process
2019-07-12 14:58:09 master.split
2019-07-12 14:58:09 stats.split
2019-07-12 14:36:27 master.raw_data

List the contents of a repository:

If you are using MinIO, type:

mc ls local/master.raw_data

System Response:

[2019-07-19 12:11:37 PDT]  2.6MiB github_issues_medium.csv

If you are using AWS, type:

aws --endpoint-url http://localhost:30600/ s3 ls s3://master.raw_data

System Response:

2019-07-26 11:22:23    2685061 github_issues_medium.csv

Create an S3 Bucket¶

You can create an S3 bucket in Pachyderm by using the AWS CLI or the MinIO client commands. The S3 bucket that you create is a branch in a repository in Pachyderm.

To create an S3 bucket, complete the following steps:

Use a corresponding command below to create a new S3 bucket, which is a repository with a branch in Pachyderm.
- If you are using MinIO, type:
```
mc mb local/master.test
```
  System Response:
```
Bucket created successfully `local/master.test`.
```
- If you are using AWS, type:
```
aws --endpoint-url http://localhost:30600/ s3 mb s3://master.test
```
  System Response:
```
make_bucket: master.test
```

Verify that the S3 bucket has been successfully created:

If you are using MinIO, type:

mc ls local

System Response:

[2019-07-18 13:32:44 PDT]      0B master.test/
[2019-07-12 15:09:50 PDT]      0B master.train/
[2019-07-12 14:58:50 PDT]      0B master.pre_process/
[2019-07-12 14:58:09 PDT]      0B master.split/
[2019-07-12 14:58:09 PDT]      0B stats.split/
[2019-07-12 14:36:27 PDT]      0B master.raw_data/

If you are using AWS, type:

aws --endpoint-url http://localhost:30600/ s3 ls

System Response:

2019-07-26 11:35:28 master.test
2019-07-12 14:58:50 master.pre_process
2019-07-12 14:58:09 master.split
2019-07-12 14:58:09 stats.split
2019-07-12 14:36:27 master.raw_data

You can also use the pachctl list repo command to view the list of repositories:

pachctl list repo

System Response:

NAME               CREATED                    SIZE (MASTER)
test               About an hour ago          0B
train              6 days ago                 68.57MiB
pre_process        6 days ago                 1.18MiB
split              6 days ago                 1.019MiB
raw_data           6 days ago                 2.561MiB

You should see the newly created repository in this list.

Delete an S3 Bucket¶

You can delete an empty S3 bucket in Pachyderm by running a corresponding command for your S3 client. The bucket must be completely empty.

To remove an S3 bucket, run one of the following commands:

If you are using MinIO, type:

mc rb local/master.test

System Response:

Removed `local/master.test` successfully.

If you are using AWS, type:

aws --endpoint-url http://localhost:30600/ s3 rb s3://master.test

System Response:

remove_bucket: master.test

Upload and Download File Objects¶

For input repositories at the top of your DAG, you can both add files to and download files from the repository.

Not all the repositories that you see in the results of the ls command are input repositories that can be written to. Some of them might be read-only output repos. Check your pipeline specification to verify which repositories are the input repos.

To add a file to a repository, complete the following steps:

Run the cp command for your S3 client:

If you are using MinIO, type:

mc cp test.csv local/master.raw_data/test.csv

System Response:

test.csv:                  62 B / 62 B  ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓  100.00% 206 B/s 0s

If you are using AWS, type:

aws --endpoint-url http://localhost:30600/ s3 cp test.csv s3://master.raw_data

System Response:

upload: ./test.csv to s3://master.raw_data/test.csv

These commands add the test.csv file to the master branch in the raw_data repository. raw_data is an input repository.

Check that the file was added:

If you are using MinIO, type:

mc ls local/master.raw_data

System Response:

[2019-07-19 12:11:37 PDT]  2.6MiB github_issues_medium.csv
[2019-07-19 12:11:37 PDT]     62B test.csv

If you are using AWS, type:

aws --endpoint-url http://localhost:30600/ s3 ls s3://master.raw_data/

System Response:

2019-07-19 12:11:37  2685061 github_issues_medium.csv
2019-07-19 12:11:37       62 test.csv

Download a file from MinIO to the current directory by running the following commands:

If you are using MinIO, type:

mc cp local/master.raw_data/github_issues_medium.csv .

System Response:

...hub_issues_medium.csv:  2.56 MiB / 2.56 MiB  ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 100.00% 1.26 MiB/s 2s

If you are using AWS, type:

aws --endpoint-url http://localhost:30600/ s3 cp s3://master.raw_data/test.csv .

System Response:

download: s3://master.raw_data/test.csv to ./test.csv

Remove a File Object¶

You can delete a file in the HEAD of a Pachyderm branch by using the MinIO command-line interface:

List the files in the input repository:

If you are using MinIO, type:

mc ls local/master.raw_data/

System Response:

[2019-07-19 12:11:37 PDT]  2.6MiB github_issues_medium.csv
[2019-07-19 12:11:37 PDT]     62B test.csv

If you are using AWS, type:

aws --endpoint-url http://localhost:30600/ s3 ls s3://master.raw_data

System Response:

2019-07-19 12:11:37    2685061 github_issues_medium.csv
2019-07-19 12:11:37         62 test.csv

Delete a file from a repository. Example:

If you are using MinIO, type:

mc rm local/master.raw_data/test.csv

System Response:

Removing `local/master.raw_data/test.csv`.

If you are using AWS, type:

aws --endpoint-url http://localhost:30600/ s3 rm s3://master.raw_data/test.csv

System Response:

delete: s3://master.raw_data/test.csv

Last updated: June 22, 2020