starcode README

Features

• Domain / Jobs / Types validation
• Dry Run of YAML Jobs / SQL scripts on BigQuery
• Preview Prettyfied Queries
• Run Jobs

Installation

• Download https://github.com/starlake-ai/starlake/blob/master/distrib/starlake.sh
• Start starlake in server mode starlake.sh serve —port 7070 to listen to this extension requests.

Useful extensions to install

• Log Output Colorizer: https://marketplace.visualstudio.com/items?itemName=IBM.output-colorizer
• GraphViz (dot) language support: https://marketplace.visualstudio.com/items?itemName=joaompinto.vscode-graphviz
• Syntax highlighting for jinja(2) / SQL: https://marketplace.visualstudio.com/items?itemName=samuelcolvin.jinjahtml

Features

This extension adds the following features:

• Preview et edit tables and tasks in tabular mode
• Preview data lineage
• Preview table access control rules
• Preview table relationships
• Run and Dry-run SQL queries (BigQuery only)
• SQL auto-complete based on table schemas
• Run starlake tasks
• Validate configuration

About Google Cloud Setup

Make sure that the gcloud command is present in your PATH: This is a requirement for the GCloud API to work.

To list your Google Cloud projects, you first need to set your default application credentials

$ gcloud auth application-default login

Then set a default project

$ gcloud config set core/project MY_PROJECT_ID

Extension Settings

• starlake.location: BigQuery Datasete Location
• starlake.host: The server hosting your starlake binary. Defaults to http://127.0.0.1
• starlake.port: Port the starlake server is listening on. Defaults to 7070
• starlake.metadataDir: Metadata folder name. "metadata" by default

Release Notes

1.0.0