CLI Commands for TSE
This page provides documentation for the command-line interface (CLI) for the TSE project. The CLI is built using Click, a Python package for creating beautiful command line interfaces.
This is the section that I want to link to.
tse
High level solution to work with big data systems
tse [OPTIONS] COMMAND [ARGS]...
deploy
Databricks api interaction
tse deploy [OPTIONS] COMMAND [ARGS]...
databricks
This is a command group for interacting with Databricks.
It includes commands for working with jobs and secrets in Databricks.
tse deploy databricks [OPTIONS] COMMAND [ARGS]...
secrets
Clone secrets from devops libraries to Databricks
tse deploy databricks secrets [OPTIONS]
Options
- --adb_token <adb_token>
Databricks Token
- --environment <environment>
Client environment
- --adb_domain <adb_domain>
Databricks Domain
- --jobs_path <jobs_path>
Path to update/create jobs
- --client_name <client_name>
Client Name
- --az_project <az_project>
Azure devops project name
- --az_pat <az_pat>
Azure devops pat
- --az_organization <az_organization>
Azure devops Organization name
- --az_user <az_user>
Azure devops user name
workflows
Write databricks jobs
tse deploy databricks workflows [OPTIONS]
Options
- --client_name <client_name>
Client Name
- --environment <environment>
Client environment
- --adb_domain <adb_domain>
Databricks Domain
- --adb_token <adb_token>
Databricks Token
- --jobs_path <jobs_path>
Path to update/create jobs
init
Initialize a new big data project.
tse init [OPTIONS] COMMAND [ARGS]...
dve
Initialize a new DVE project.
tse init dve [OPTIONS]
Options
- --override-project
Override the project structure
tse
Initialize a new tse project.
tse init tse [OPTIONS]
Options
- --include-tse-ml
Include TSE ML pipelines and templates
- --override-project
Override the project structure
My Section
This is the section that I want to link to.