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Airbyte (dagster-airbyte)

This library provides a Dagster integration with Airbyte.

For more information on getting started, see the Airbyte integration guide.

Assets (Airbyte API)

class dagster_airbyte.AirbyteCloudWorkspace
beta

This API is currently in beta, and may have breaking changes in minor version releases, with behavior changes in patch releases.

This class represents a Airbyte Cloud workspace and provides utilities to interact with Airbyte APIs.

sync_and_poll
beta

This API is currently in beta, and may have breaking changes in minor version releases, with behavior changes in patch releases.

Executes a sync and poll process to materialize Airbyte Cloud assets. This method can only be used in the context of an asset execution.

Parameters: context (AssetExecutionContext) – The execution context from within @airbyte_assets.Returns: An iterator of MaterializeResult or AssetMaterialization.

Return type: Iterator[Union[AssetMaterialization, MaterializeResult]]

class dagster_airbyte.DagsterAirbyteTranslator
beta

This API is currently in beta, and may have breaking changes in minor version releases, with behavior changes in patch releases.

Translator class which converts a AirbyteConnectionTableProps object into AssetSpecs. Subclass this class to implement custom logic how to translate Airbyte content into asset spec.

dagster_airbyte.load_airbyte_cloud_asset_specs
beta

This API is currently in beta, and may have breaking changes in minor version releases, with behavior changes in patch releases.

Returns a list of AssetSpecs representing the Airbyte content in the workspace.

Parameters:

Returns: The set of assets representing the Airbyte content in the workspace.Return type: List[AssetSpec] Examples:

Loading the asset specs for a given Airbyte Cloud workspace:

from dagster_airbyte import AirbyteCloudWorkspace, load_airbyte_cloud_asset_specs

import dagster as dg

airbyte_cloud_workspace = AirbyteCloudWorkspace(
workspace_id=dg.EnvVar("AIRBYTE_CLOUD_WORKSPACE_ID"),
client_id=dg.EnvVar("AIRBYTE_CLOUD_CLIENT_ID"),
client_secret=dg.EnvVar("AIRBYTE_CLOUD_CLIENT_SECRET"),
)


airbyte_cloud_specs = load_airbyte_cloud_asset_specs(airbyte_cloud_workspace)
defs = dg.Definitions(assets=airbyte_cloud_specs)
@dagster_airbyte.airbyte_assets
beta

This API is currently in beta, and may have breaking changes in minor version releases, with behavior changes in patch releases.

Create a definition for how to sync the tables of a given Airbyte connection.

Parameters:

  • connection_id (str) – The Airbyte Connection ID.
  • workspace (AirbyteCloudWorkspace) – The Airbyte workspace to fetch assets from.
  • name (Optional[str], optional) – The name of the op.
  • group_name (Optional[str], optional) – The name of the asset group.
  • dagster_airbyte_translator (Optional[DagsterAirbyteTranslator], optional) – The translator to use to convert Airbyte content into dagster.AssetSpec. Defaults to DagsterAirbyteTranslator.

Examples:

Sync the tables of an Airbyte connection:

from dagster_airbyte import AirbyteCloudWorkspace, airbyte_assets

import dagster as dg

airbyte_workspace = AirbyteCloudWorkspace(
workspace_id=dg.EnvVar("AIRBYTE_CLOUD_WORKSPACE_ID"),
client_id=dg.EnvVar("AIRBYTE_CLOUD_CLIENT_ID"),
client_secret=dg.EnvVar("AIRBYTE_CLOUD_CLIENT_SECRET"),
)


@airbyte_assets(
connection_id="airbyte_connection_id",
workspace=airbyte_workspace,
)
def airbyte_connection_assets(context: dg.AssetExecutionContext, airbyte: AirbyteCloudWorkspace):
yield from airbyte.sync_and_poll(context=context)


defs = dg.Definitions(
assets=[airbyte_connection_assets],
resources={"airbyte": airbyte_workspace},
)

Sync the tables of an Airbyte connection with a custom translator:

from dagster_airbyte import (
DagsterAirbyteTranslator,
AirbyteConnectionTableProps,
AirbyteCloudWorkspace,
airbyte_assets
)

import dagster as dg

class CustomDagsterAirbyteTranslator(DagsterAirbyteTranslator):
def get_asset_spec(self, props: AirbyteConnectionTableProps) -> dg.AssetSpec:
default_spec = super().get_asset_spec(props)
return default_spec.merge_attributes(
metadata={"custom": "metadata"},
)

airbyte_workspace = AirbyteCloudWorkspace(
workspace_id=dg.EnvVar("AIRBYTE_CLOUD_WORKSPACE_ID"),
client_id=dg.EnvVar("AIRBYTE_CLOUD_CLIENT_ID"),
client_secret=dg.EnvVar("AIRBYTE_CLOUD_CLIENT_SECRET"),
)


@airbyte_assets(
connection_id="airbyte_connection_id",
workspace=airbyte_workspace,
dagster_airbyte_translator=CustomDagsterAirbyteTranslator()
)
def airbyte_connection_assets(context: dg.AssetExecutionContext, airbyte: AirbyteCloudWorkspace):
yield from airbyte.sync_and_poll(context=context)


defs = dg.Definitions(
assets=[airbyte_connection_assets],
resources={"airbyte": airbyte_workspace},
)
dagster_airbyte.build_airbyte_assets_definitions
beta

This API is currently in beta, and may have breaking changes in minor version releases, with behavior changes in patch releases.

The list of AssetsDefinition for all connections in the Airbyte workspace.

Parameters:

Returns: The list of AssetsDefinition for all connections in the Airbyte workspace.Return type: List[AssetsDefinition] Examples:

Sync the tables of a Airbyte connection:

from dagster_airbyte import AirbyteCloudWorkspace, build_airbyte_assets_definitions

import dagster as dg

airbyte_workspace = AirbyteCloudWorkspace(
workspace_id=dg.EnvVar("AIRBYTE_CLOUD_WORKSPACE_ID"),
client_id=dg.EnvVar("AIRBYTE_CLOUD_CLIENT_ID"),
client_secret=dg.EnvVar("AIRBYTE_CLOUD_CLIENT_SECRET"),
)


airbyte_assets = build_airbyte_assets_definitions(workspace=workspace)

defs = dg.Definitions(
assets=airbyte_assets,
resources={"airbyte": airbyte_workspace},
)

Sync the tables of a Airbyte connection with a custom translator:

from dagster_airbyte import (
DagsterAirbyteTranslator,
AirbyteConnectionTableProps,
AirbyteCloudWorkspace,
build_airbyte_assets_definitions
)

import dagster as dg

class CustomDagsterAirbyteTranslator(DagsterAirbyteTranslator):
def get_asset_spec(self, props: AirbyteConnectionTableProps) -> dg.AssetSpec:
default_spec = super().get_asset_spec(props)
return default_spec.merge_attributes(
metadata={"custom": "metadata"},
)

airbyte_workspace = AirbyteCloudWorkspace(
workspace_id=dg.EnvVar("AIRBYTE_CLOUD_WORKSPACE_ID"),
client_id=dg.EnvVar("AIRBYTE_CLOUD_CLIENT_ID"),
client_secret=dg.EnvVar("AIRBYTE_CLOUD_CLIENT_SECRET"),
)


airbyte_assets = build_airbyte_assets_definitions(
workspace=workspace,
dagster_airbyte_translator=CustomDagsterAirbyteTranslator()
)

defs = dg.Definitions(
assets=airbyte_assets,
resources={"airbyte": airbyte_workspace},
)

Legacy

dagster_airbyte.AirbyteResource ResourceDefinition

This resource allows users to programatically interface with the Airbyte REST API to launch syncs and monitor their progress.

Examples:
from dagster import job, EnvVar
from dagster_airbyte import AirbyteResource

my_airbyte_resource = AirbyteResource(
host=EnvVar("AIRBYTE_HOST"),
port=EnvVar("AIRBYTE_PORT"),
# If using basic auth
username=EnvVar("AIRBYTE_USERNAME"),
password=EnvVar("AIRBYTE_PASSWORD"),
)

airbyte_assets = build_airbyte_assets(
connection_id="87b7fe85-a22c-420e-8d74-b30e7ede77df",
destination_tables=["releases", "tags", "teams"],
)

defs = Definitions(
assets=[airbyte_assets],
resources={"airbyte": my_airbyte_resource},
)
dagster_airbyte.load_assets_from_airbyte_instance

Loads Airbyte connection assets from a configured AirbyteResource instance. This fetches information about defined connections at initialization time, and will error on workspace load if the Airbyte instance is not reachable.

Parameters:

  • airbyte (ResourceDefinition) – An AirbyteResource configured with the appropriate connection details.
  • workspace_id (Optional[str]) – The ID of the Airbyte workspace to load connections from. Only required if multiple workspaces exist in your instance.
  • key_prefix (Optional[CoercibleToAssetKeyPrefix]) – A prefix for the asset keys created.
  • create_assets_for_normalization_tables (bool) – If True, assets will be created for tables created by Airbyte’s normalization feature. If False, only the destination tables will be created. Defaults to True.
  • connection_to_group_fn (Optional[Callable[[str], Optional[str]]]) – Function which returns an asset group name for a given Airbyte connection name. If None, no groups will be created. Defaults to a basic sanitization function.
  • connection_meta_to_group_fn (Optional[Callable[[AirbyteConnectionMetadata], Optional[str]]]) – Function which returns an asset group name for a given Airbyte connection metadata. If None and connection_to_group_fn is None, no groups will be created
  • io_manager_key (Optional[str]) – The I/O manager key to use for all assets. Defaults to “io_manager”. Use this if all assets should be loaded from the same source, otherwise use connection_to_io_manager_key_fn.
  • connection_to_io_manager_key_fn (Optional[Callable[[str], Optional[str]]]) – Function which returns an I/O manager key for a given Airbyte connection name. When other ops are downstream of the loaded assets, the IOManager specified determines how the inputs to those ops are loaded. Defaults to “io_manager”.
  • connection_filter (Optional[Callable[[AirbyteConnectionMetadata], bool]]) – Optional function which takes in connection metadata and returns False if the connection should be excluded from the output assets.
  • connection_to_asset_key_fn (Optional[Callable[[AirbyteConnectionMetadata, str], AssetKey]]) – Optional function which takes in connection metadata and table name and returns an asset key for the table. If None, the default asset key is based on the table name. Any asset key prefix will be applied to the output of this function.
  • connection_to_freshness_policy_fn (Optional[Callable[[AirbyteConnectionMetadata], Optional[FreshnessPolicy]]]) – Optional function which takes in connection metadata and returns a freshness policy for the connection’s assets. If None, no freshness policies will be applied to the assets.
  • connection_to_auto_materialize_policy_fn (Optional[Callable[[AirbyteConnectionMetadata], Optional[AutoMaterializePolicy]]]) – Optional function which takes in connection metadata and returns an auto materialization policy for the connection’s assets. If None, no auto materialization policies will be applied to the assets.
Examples:

Loading all Airbyte connections as assets:

from dagster_airbyte import airbyte_resource, load_assets_from_airbyte_instance

airbyte_instance = airbyte_resource.configured(
{
"host": "localhost",
"port": "8000",
}
)
airbyte_assets = load_assets_from_airbyte_instance(airbyte_instance)

Filtering the set of loaded connections:

from dagster_airbyte import airbyte_resource, load_assets_from_airbyte_instance

airbyte_instance = airbyte_resource.configured(
{
"host": "localhost",
"port": "8000",
}
)
airbyte_assets = load_assets_from_airbyte_instance(
airbyte_instance,
connection_filter=lambda meta: "snowflake" in meta.name,
)
dagster_airbyte.build_airbyte_assets

Builds a set of assets representing the tables created by an Airbyte sync operation.

Parameters:

  • connection_id (str) – The Airbyte Connection ID that this op will sync. You can retrieve this value from the “Connections” tab of a given connector in the Airbyte UI.
  • destination_tables (List[str]) – The names of the tables that you want to be represented in the Dagster asset graph for this sync. This will generally map to the name of the stream in Airbyte, unless a stream prefix has been specified in Airbyte.
  • destination_database (Optional[str]) – The name of the destination database.
  • destination_schema (Optional[str]) – The name of the destination schema.
  • normalization_tables (Optional[Mapping[str, List[str]]]) – If you are using Airbyte’s normalization feature, you may specify a mapping of destination table to a list of derived tables that will be created by the normalization process.
  • asset_key_prefix (Optional[List[str]]) – A prefix for the asset keys inside this asset. If left blank, assets will have a key of AssetKey([table_name]).
  • deps (Optional[Sequence[Union[AssetsDefinition, SourceAsset, str, AssetKey]]]) – A list of assets to add as sources.
  • upstream_assets (Optional[Set[AssetKey]]) – Deprecated, use deps instead. A list of assets to add as sources.
  • freshness_policy (Optional[FreshnessPolicy]) – A freshness policy to apply to the assets
  • stream_to_asset_map (Optional[Mapping[str, str]]) – A mapping of an Airbyte stream name to a Dagster asset. This allows the use of the “prefix” setting in Airbyte with special characters that aren’t valid asset names.
  • auto_materialize_policy (Optional[AutoMaterializePolicy]) – An auto materialization policy to apply to the assets.
dagster_airbyte.airbyte_sync_op = <dagster._core.definitions.op_definition.OpDefinition object>

Executes a Airbyte job sync for a given connection_id, and polls until that sync completes, raising an error if it is unsuccessful. It outputs a AirbyteOutput which contains the job details for a given connection_id.

It requires the use of the airbyte_resource, which allows it to communicate with the Airbyte API.

Examples:

from dagster import job
from dagster_airbyte import airbyte_resource, airbyte_sync_op

my_airbyte_resource = airbyte_resource.configured(
{
"host": {"env": "AIRBYTE_HOST"},
"port": {"env": "AIRBYTE_PORT"},
}
)

sync_foobar = airbyte_sync_op.configured({"connection_id": "foobar"}, name="sync_foobar")

@job(resource_defs={"airbyte": my_airbyte_resource})
def my_simple_airbyte_job():
sync_foobar()

@job(resource_defs={"airbyte": my_airbyte_resource})
def my_composed_airbyte_job():
final_foobar_state = sync_foobar(start_after=some_op())
other_op(final_foobar_state)