Skip to main content
Version: 1.30.0 (latest)

dlt.pipeline.configuration

PipelineRuntimeConfiguration Objects​

@configspec
class PipelineRuntimeConfiguration(BaseConfiguration)

View source on GitHub

pluggable_run_context​

Pluggable run context with current run context

intercept_signals​

Enable/disable signal handlers in normalize and load steps

PipelineConfiguration Objects​

@configspec
class PipelineConfiguration(BaseConfiguration)

View source on GitHub

dataset_name_layout​

Layout for dataset_name, where %s is replaced with dataset_name. For example: 'prefix_%s'

restore_from_destination​

Enables the run method of the Pipeline object to restore the pipeline state and schemas from the destination

enable_runtime_trace​

Enables the tracing. Tracing saves the execution trace locally and is required by dlt deploy.

use_single_dataset​

Stores all schemas in single dataset. When False, each schema will get a separate dataset with `{dataset_name}_{schema_name}

full_refresh​

Deprecated. Use dev_mode instead. When set to True, each instance of the pipeline with the pipeline_name starts from scratch when run and loads the data to a separate dataset.

dev_mode​

When set to True, each instance of the pipeline with the pipeline_name starts from scratch when run and loads the data to a separate dataset.

refresh​

Refresh mode for the pipeline to fully or partially reset a source during run. See docstring of dlt.pipeline for more details.

get_default_pipeline_name​

def get_default_pipeline_name(entry_point_file: str) -> str

View source on GitHub

Generates default pipeline name based on an entry point of the current Python script prefixed with "dlt_"

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.