Skip to main content
Version: devel

dlt._workspace.mcp.tools.pipeline

available_pipelines

def available_pipelines() -> list[str]

View source on GitHub

List all available dlt pipelines. Each pipeline has several tables.

available_tables

def available_tables(pipeline_name: str) -> dict[str, Any]

View source on GitHub

List all available tables in the specified pipeline.

table_preview

def table_preview(pipeline_name: str, table_name: str) -> dict[str, Any]

View source on GitHub

Get the first row from the specified table.

table_schema

def table_schema(pipeline_name: str, table_name: str) -> dict[str, Any]

View source on GitHub

Get the schema of the specified table.

execute_sql_query

def execute_sql_query(pipeline_name: str, sql_select_query: str) -> str

View source on GitHub

Executes SELECT SQL statement for simple data analysis.

Use the table_schema() tool to get the available columns and use their fully qualified name in the SQL query.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

DHelp

Ask a question

Welcome to "Codex Central", your next-gen help center, driven by OpenAI's GPT-4 model. It's more than just a forum or a FAQ hub – it's a dynamic knowledge base where coders can find AI-assisted solutions to their pressing problems. With GPT-4's powerful comprehension and predictive abilities, Codex Central provides instantaneous issue resolution, insightful debugging, and personalized guidance. Get your code running smoothly with the unparalleled support at Codex Central - coding help reimagined with AI prowess.