Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Updated performance docs for setting dlt data dir #2247

Open
wants to merge 1 commit into
base: devel
Choose a base branch
from
Open

Updated performance docs for setting dlt data dir #2247

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
23 changes: 23 additions & 0 deletions docs/website/docs/reference/performance.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -319,3 +319,26 @@ volumes {
}
}
```
## Handling storage limits

If your storage reaches its limit, you are likely running dlt in a cloud environment with restricted disk space. To prevent issues, mount an external cloud storage location and set the `DLT_DATA_DIR` environment variable to point to it. This ensures that dlt uses the mounted storage as its data directory instead of local disk space.


### Setting `DLT_DATA_DIR`

You can configure `DLT_DATA_DIR` in your environment setup as follows:

```py
import os
from dlt.common.known_env import DLT_DATA_DIR


# Define the path to your mounted external storage
data_dir = "/path/to/mounted/bucket/dlt_pipeline_data"

# Set the DLT_DATA_DIR environment variable
os.environ[DLT_DATA_DIR] = data_dir

# Rest of your pipeline code
```
This directs dlt to use the specified external storage for all data operations, preventing local storage constraints.