- Machine Learning With Go
- Daniel Whitenack
- 201字
- 2021-07-08 10:37:30
Putting data into data repositories
Let's say that we have a simple text file:
$ cat blah.txt
This is an example file.
If this file is part of the data we are utilizing in our ML workflow, we should version it. To version this file in our repository, myrepo, we just need to commit it into that repository:
$ pachctl put-file myrepo master -c -f blah.txt
The -c flag specifies that we want Pachyderm to open a new commit, insert the file we are referencing, and close the commit all in one shot. The -f flag specifies that we are providing a file.
Note that we are committing a single file to the master branch of a single repository here. However, the Pachyderm API is incredibly flexible. We can commit, delete, or otherwise modify many versioned files in a single commit or over multiple commits. Further, these files could be versioned via a URL, object store link, database dump, and so on.
As a sanity check, we can confirm that our file was versioned in the repository:
$ pachctl list-repo
NAME CREATED SIZE
myrepo 10 minutes ago 25 B
$ pachctl list-file myrepo master
NAME TYPE SIZE
blah.txt file 25 B
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