## Changes Add mutex synchronization in cmdio logger Log() method. ## Why Since we issue multiple calls to underlying writer, we should lock the whole method, otherwise we can get broken messages. One that can be easily reproduced today is ``` hyperfine -m 100 --show-output 'go test ./acceptance -run ^TestAccept$/^bundle$/^artifacts$/^whl_multiple$ -count=1' ... -Uploading my_test_code-0.0.1-py3-none-any.whl... -Uploading my_test_code_2-0.0.1-py3-none-any.whl... +Uploading my_test_code-0.0.1-py3-none-any.whl...Uploading my_test_code_2-0.0.1-py3-none-any.whl... Error: Command terminated with non-zero exit code 1 in benchmark iteration 54. Use the '-i'/'--ignore-failure' option if you want to ignore this. Alternatively, use the '--show-output' option to debug what went wrong. ``` An alternative could be to prepare a message fully in a local buffer and write it in one call (I’m assuming underlying writer is still synchronized). However, that’s more complicated and unclear if it’s worth it, perf-wise. ## Tests With this change I’m running the same hyperfine command with 1000 iterations with no failures. |
||
---|---|---|
.codegen | ||
.github | ||
.vscode | ||
acceptance | ||
bundle | ||
cmd | ||
docker | ||
docs | ||
integration | ||
internal | ||
libs | ||
.codegen.json | ||
.git-blame-ignore-revs | ||
.gitattributes | ||
.gitignore | ||
.golangci.yaml | ||
.goreleaser.yaml | ||
.mockery.yaml | ||
CHANGELOG.md | ||
Dockerfile | ||
LICENSE | ||
Makefile | ||
NOTICE | ||
README.md | ||
go.mod | ||
go.sum | ||
main.go | ||
main_test.go | ||
ruff.toml |
README.md
Databricks CLI
This project is in Public Preview.
Documentation is available at https://docs.databricks.com/dev-tools/cli/databricks-cli.html.
Installation
This CLI is packaged as a dependency-free binary executable and may be located in any directory. See https://github.com/databricks/cli/releases for releases and the Databricks documentation for detailed information about installing the CLI.
Homebrew
We maintain a Homebrew tap for installing the Databricks CLI. You can find instructions for how to install, upgrade and downgrade the CLI using Homebrew here.
Docker
You can use the CLI via a Docker image by pulling the image from ghcr.io
. You can find all available versions
at: https://github.com/databricks/cli/pkgs/container/cli.
docker pull ghcr.io/databricks/cli:latest
Example of how to run the CLI using the Docker image. More documentation is available at https://docs.databricks.com/dev-tools/bundles/airgapped-environment.html.
docker run -e DATABRICKS_HOST=$YOUR_HOST_URL -e DATABRICKS_TOKEN=$YOUR_TOKEN ghcr.io/databricks/cli:latest current-user me
Authentication
This CLI follows the Databricks Unified Authentication principles.
You can find a detailed description at https://github.com/databricks/databricks-sdk-go#authentication.
Privacy Notice
Databricks CLI use is subject to the Databricks License and Databricks Privacy Notice, including any Usage Data provisions.