Loading Data from Fivetran
to Google Cloud Storage
with dlt
in Python
Join our Slack community or book a call with our support engineer Violetta.
Loading data from Fivetran
to Google Cloud Storage
using the open-source python library dlt
allows users to create efficient data pipelines. Fivetran
is an ETL tool that helps customers leverage their data for various applications, including AI, ML models, predictive analytics, and operational workloads. On the other hand, the Google Cloud Storage
destination stores data on the Google Cloud Platform, making it easy to create data lakes. With dlt
, you can upload data in formats like JSONL, Parquet, or CSV. This documentation will guide you through the process of setting up and using dlt
to transfer data from Fivetran
to Google Cloud Storage
. For more information about Fivetran
, visit their website.
dlt
Key Features
- Governance Support:
dlt
pipelines offer robust governance support through pipeline metadata utilization, schema enforcement and curation, and schema change alerts. Learn more. - Scalability via Iterators, Chunking, and Parallelization: Efficiently process large datasets by breaking them down into manageable chunks and leveraging parallel processing capabilities. Read more.
- Schema Enforcement and Curation: Ensure data consistency and quality by adhering to predefined schemas that guide the processing and loading of data. Read more.
- Staging Support for Snowflake: Use S3 or GCS as file staging destinations for Snowflake, allowing for efficient data transfer and loading. Learn more.
- Advanced Extraction Techniques: Utilize implicit extraction DAGs to handle dependencies between data sources and transformations automatically. Read more.
Getting started with your pipeline locally
dlt-init-openapi
0. Prerequisites
dlt
and dlt-init-openapi
requires Python 3.9 or higher. Additionally, you need to have the pip
package manager installed, and we recommend using a virtual environment to manage your dependencies. You can learn more about preparing your computer for dlt in our installation reference.
1. Install dlt and dlt-init-openapi
First you need to install the dlt-init-openapi
cli tool.
pip install dlt-init-openapi
The dlt-init-openapi
cli is a powerful generator which you can use to turn any OpenAPI spec into a dlt
source to ingest data from that api. The quality of the generator source is dependent on how well the API is designed and how accurate the OpenAPI spec you are using is. You may need to make tweaks to the generated code, you can learn more about this here.
# generate pipeline
# NOTE: add_limit adds a global limit, you can remove this later
# NOTE: you will need to select which endpoints to render, you
# can just hit Enter and all will be rendered.
dlt-init-openapi fivetran --url https://raw.githubusercontent.com/dlt-hub/openapi-specs/main/open_api_specs/Business/fivetran.yaml --global-limit 2
cd fivetran_pipeline
# install generated requirements
pip install -r requirements.txt
The last command will install the required dependencies for your pipeline. The dependencies are listed in the requirements.txt
:
dlt>=0.4.12
You now have the following folder structure in your project:
fivetran_pipeline/
├── .dlt/
│ ├── config.toml # configs for your pipeline
│ └── secrets.toml # secrets for your pipeline
├── rest_api/ # The rest api verified source
│ └── ...
├── fivetran/
│ └── __init__.py # TODO: possibly tweak this file
├── fivetran_pipeline.py # your main pipeline script
├── requirements.txt # dependencies for your pipeline
└── .gitignore # ignore files for git (not required)
1.1. Tweak fivetran/__init__.py
This file contains the generated configuration of your rest_api. You can continue with the next steps and leave it as is, but you might want to come back here and make adjustments if you need your rest_api
source set up in a different way. The generated file for the fivetran source will look like this:
Click to view full file (885 lines)
from typing import List
import dlt
from dlt.extract.source import DltResource
from rest_api import rest_api_source
from rest_api.typing import RESTAPIConfig
@dlt.source(name="fivetran_source", max_table_nesting=2)
def fivetran_source(
username: str = dlt.secrets.value,
password: str = dlt.secrets.value,
base_url: str = dlt.config.value,
) -> List[DltResource]:
# source configuration
source_config: RESTAPIConfig = {
"client": {
"base_url": base_url,
"auth": {
"type": "http_basic",
"username": username,
"password": password,
},
},
"resources":
[
# Returns the list of approved certificates for specified connector.
{
"name": "get_connector_certificates_list",
"table_name": "certificate",
"endpoint": {
"data_selector": "$",
"path": "/v1/connectors/{connectorId}/certificates",
"params": {
"connectorId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns the list of approved certificates for specified destination.
{
"name": "get_destination_certificates_list",
"table_name": "certificate",
"endpoint": {
"data_selector": "$",
"path": "/v1/destinations/{destinationId}/certificates",
"params": {
"destinationId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns details of the certificate approved for specified destination with specified hash.
{
"name": "get_destination_certificate_details",
"table_name": "certificate",
"endpoint": {
"data_selector": "$",
"path": "/v1/destinations/{destinationId}/certificates/{hash}",
"params": {
"destinationId": "FILL_ME_IN", # TODO: fill in required path parameter
"hash": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns details of the certificate approved for specified connector with specified hash.
{
"name": "get_connector_certificate_details",
"table_name": "certificate",
"endpoint": {
"data_selector": "$",
"path": "/v1/connectors/{connectorId}/certificates/{hash}",
"params": {
"connectorId": "FILL_ME_IN", # TODO: fill in required path parameter
"hash": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns the source table columns config for an existing connector within your Fivetran account
{
"name": "connector_column_config",
"table_name": "column",
"endpoint": {
"data_selector": "$",
"path": "/v1/connectors/{connectorId}/schemas/{schema}/tables/{table}/columns",
"params": {
"connectorId": "FILL_ME_IN", # TODO: fill in required path parameter
"schema": "FILL_ME_IN", # TODO: fill in required path parameter
"table": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns all connections attached to the proxy agent.
{
"name": "get_proxy_agent_connections",
"table_name": "connection",
"endpoint": {
"data_selector": "$",
"path": "/v1/proxy/{agentId}/connections",
"params": {
"agentId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns connector memberships within a team.
{
"name": "get_team_memberships_in_connectors",
"table_name": "connector",
"endpoint": {
"data_selector": "$",
"path": "/v1/teams/{teamId}/connectors",
"params": {
"teamId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a connector membership object.
{
"name": "get_user_membership_in_connector",
"table_name": "connector",
"endpoint": {
"data_selector": "$",
"path": "/v1/users/{userId}/connectors/{connectorId}",
"params": {
"userId": "FILL_ME_IN", # TODO: fill in required path parameter
"connectorId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a connector object if a valid identifier was provided
{
"name": "connector_details",
"table_name": "connector",
"endpoint": {
"data_selector": "$",
"path": "/v1/connectors/{connectorId}",
"params": {
"connectorId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a connector membership within a team
{
"name": "get_team_membership_in_connector",
"table_name": "connector",
"endpoint": {
"data_selector": "$",
"path": "/v1/teams/{teamId}/connectors/{connectorId}",
"params": {
"teamId": "FILL_ME_IN", # TODO: fill in required path parameter
"connectorId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a list of information about all connectors within a group in your Fivetran account.
{
"name": "list_all_connectors_in_group",
"table_name": "connector",
"endpoint": {
"data_selector": "$",
"path": "/v1/groups/{groupId}/connectors",
"params": {
"groupId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "schema": "OPTIONAL_CONFIG",
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns all connector membership objects for a user within your Fivetran account
{
"name": "get_user_memberships_in_connectors",
"table_name": "connector",
"endpoint": {
"data_selector": "$",
"path": "/v1/users/{userId}/connectors",
"params": {
"userId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns metadata of configuration parameters and authorization parameters for a specified connector type.
{
"name": "metadata_connector_config",
"table_name": "connector_type",
"endpoint": {
"data_selector": "$",
"path": "/v1/metadata/connector-types/{service}",
"params": {
"service": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns all available source types within your Fivetran account. This endpoint makes it easier to display Fivetran connectors within your application because it provides metadata including the proper source name ('Facebook Ads' instead of 'facebook_ads'), the source icon, and links to Fivetran resources. As we update source names and icons, that metadata will automatically update within this endpoint
{
"name": "metadata_connectors",
"table_name": "connector_type",
"endpoint": {
"data_selector": "$",
"path": "/v1/metadata/connector-types",
"params": {
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a destination object if a valid identifier was provided.
{
"name": "destination_details",
"table_name": "destination",
"endpoint": {
"data_selector": "$",
"path": "/v1/destinations/{destinationId}",
"params": {
"destinationId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a logging service object if a valid identifier was provided.
{
"name": "get_log_service_details",
"table_name": "external_logging",
"endpoint": {
"data_selector": "$",
"path": "/v1/external-logging/{logId}",
"params": {
"logId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns SSH fingerprint details approved for specified destination with specified hash
{
"name": "get_destination_fingerprint_details",
"table_name": "fingerprint",
"endpoint": {
"data_selector": "$",
"path": "/v1/destinations/{destinationId}/fingerprints/{hash}",
"params": {
"destinationId": "FILL_ME_IN", # TODO: fill in required path parameter
"hash": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns SSH fingerprint details approved for specified connector with specified hash
{
"name": "get_connector_fingerprint_details",
"table_name": "fingerprint",
"endpoint": {
"data_selector": "$",
"path": "/v1/connectors/{connectorId}/fingerprints/{hash}",
"params": {
"connectorId": "FILL_ME_IN", # TODO: fill in required path parameter
"hash": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns the list of approved SSH fingerprints for specified destination
{
"name": "get_destination_fingerprints_list",
"table_name": "fingerprint",
"endpoint": {
"data_selector": "$",
"path": "/v1/destinations/{destinationId}/fingerprints",
"params": {
"destinationId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns the list of approved SSH fingerprints for specified connector
{
"name": "get_connector_fingerprints_list",
"table_name": "fingerprint",
"endpoint": {
"data_selector": "$",
"path": "/v1/connectors/{connectorId}/fingerprints",
"params": {
"connectorId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns all group membership objects for a user within your Fivetran account.
{
"name": "get_user_memberships_in_groups",
"table_name": "group",
"endpoint": {
"data_selector": "$",
"path": "/v1/users/{userId}/groups",
"params": {
"userId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a group membership within a team
{
"name": "get_team_memberships_in_groups",
"table_name": "group",
"endpoint": {
"data_selector": "$",
"path": "/v1/teams/{teamId}/groups",
"params": {
"teamId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a group object if a valid identifier was provided.
{
"name": "group_details",
"table_name": "group",
"endpoint": {
"data_selector": "$",
"path": "/v1/groups/{groupId}",
"params": {
"groupId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a group membership within a team.
{
"name": "get_team_membership_in_group",
"table_name": "group",
"endpoint": {
"data_selector": "$",
"path": "/v1/teams/{teamId}/groups/{groupId}",
"params": {
"teamId": "FILL_ME_IN", # TODO: fill in required path parameter
"groupId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a list of all groups within your Fivetran account.
{
"name": "list_all_groups",
"table_name": "group",
"endpoint": {
"data_selector": "$",
"path": "/v1/groups",
"params": {
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a group membership object.
{
"name": "get_user_membership_in_group",
"table_name": "group",
"endpoint": {
"data_selector": "$",
"path": "/v1/users/{userId}/groups/{groupId}",
"params": {
"userId": "FILL_ME_IN", # TODO: fill in required path parameter
"groupId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns information about current account from API key.
{
"name": "get_account_info",
"table_name": "info",
"endpoint": {
"data_selector": "$",
"path": "/v1/account/info",
"paginator": "auto",
}
},
# Returns Local Processing Agent Details.
{
"name": "get_local_processing_agent",
"table_name": "local_processing_agent",
"endpoint": {
"data_selector": "$",
"path": "/v1/local-processing-agents/{agentId}",
"params": {
"agentId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns list of all Local Processing Agents within your Fivetran account, along with usage. Optionally filtered to a single group.
{
"name": "get_local_processing_agent_list",
"table_name": "local_processing_agent",
"endpoint": {
"data_selector": "$",
"path": "/v1/local-processing-agents",
"params": {
# the parameters below can optionally be configured
# "groupId": "OPTIONAL_CONFIG",
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of all dbt Models within dbt Project.
{
"name": "list_dbt_project_models",
"table_name": "model",
"endpoint": {
"data_selector": "$",
"path": "/v1/dbt/models",
"params": {
"project_id": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of all dbt Models within dbt Project. (Deprecated)
{
"name": "list_dbt_project_models_deprecated",
"table_name": "model",
"endpoint": {
"data_selector": "$",
"path": "/v1/dbt/projects/{projectId}/models",
"params": {
"projectId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a dbt Model details if a valid identifier was provided.
{
"name": "dbt_model_details",
"table_name": "model",
"endpoint": {
"data_selector": "$",
"path": "/v1/dbt/models/{modelId}",
"params": {
"modelId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a list of all private links.
{
"name": "get_private_links",
"table_name": "private_link",
"endpoint": {
"data_selector": "$",
"path": "/v1/groups/{groupId}/private-links",
"params": {
"groupId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a private link object if a valid identifier was provided.
{
"name": "get_private_link_details",
"table_name": "private_link",
"endpoint": {
"data_selector": "$",
"path": "/v1/private-links/{privateLinkId}",
"params": {
"privateLinkId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a dbt Project details if a valid identifier was provided.
{
"name": "dbt_project_details",
"table_name": "project",
"endpoint": {
"data_selector": "$",
"path": "/v1/dbt/projects/{projectId}",
"params": {
"projectId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a list of all dbt Projects within your Fivetran account.
{
"name": "list_dbt_projects",
"table_name": "project",
"endpoint": {
"data_selector": "$",
"path": "/v1/dbt/projects",
"params": {
# the parameters below can optionally be configured
# "group_id": "OPTIONAL_CONFIG",
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of all proxy agents.
{
"name": "get_proxy_agent",
"table_name": "proxy",
"endpoint": {
"data_selector": "$",
"path": "/v1/proxy",
"params": {
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a proxy agent object if a valid identifier was provided.
{
"name": "get_proxy_agent_details",
"table_name": "proxy_agent_response",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "$",
"path": "/v1/proxy/{agentId}",
"params": {
"agentId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns public key from SSH key pair associated with the group.
{
"name": "group_ssh_public_key",
"table_name": "public_key",
"endpoint": {
"data_selector": "$",
"path": "/v1/groups/{groupId}/public-key",
"params": {
"groupId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a list of all predefined and custom roles within your Fivetran account.
{
"name": "list_all_roles",
"table_name": "role",
"endpoint": {
"data_selector": "$",
"path": "/v1/roles",
"params": {
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns the connector schema config for an existing connector within your Fivetran account
{
"name": "connector_schema_config",
"table_name": "schema",
"endpoint": {
"data_selector": "$",
"path": "/v1/connectors/{connectorId}/schemas",
"params": {
"connectorId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns Fivetran service account associated with the group.
{
"name": "group_service_account",
"table_name": "service_account",
"endpoint": {
"data_selector": "$",
"path": "/v1/groups/{groupId}/service-account",
"params": {
"groupId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns the connector state. This endpoint is only supported for function connectors.
{
"name": "connector_state",
"table_name": "state",
"endpoint": {
"data_selector": "$",
"path": "/v1/connectors/{connectorId}/state",
"params": {
"connectorId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns information for a given team within your Fivetran account
{
"name": "team_details",
"table_name": "team",
"endpoint": {
"data_selector": "$",
"path": "/v1/teams/{teamId}",
"params": {
"teamId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a list of all teams within your Fivetran account
{
"name": "list_all_teams",
"table_name": "team",
"endpoint": {
"data_selector": "$",
"path": "/v1/teams",
"params": {
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a dbt Transformation details if a valid identifier was provided.
{
"name": "dbt_transformation_details",
"table_name": "transformation",
"endpoint": {
"data_selector": "$",
"path": "/v1/dbt/transformations/{transformationId}",
"params": {
"transformationId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a list of all dbt Transformations within dbt Project.
{
"name": "list_dbt_project_transformations",
"table_name": "transformation",
"endpoint": {
"data_selector": "$",
"path": "/v1/dbt/transformations",
"params": {
"project_id": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of all dbt Transformations within dbt Project. (Deprecated)
{
"name": "list_dbt_project_transformations_deprecated",
"table_name": "transformation",
"endpoint": {
"data_selector": "$",
"path": "/v1/dbt/projects/{projectId}/transformations",
"params": {
"projectId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns the user role a user has within a team
{
"name": "get_user_in_team",
"table_name": "user",
"endpoint": {
"data_selector": "$",
"path": "/v1/teams/{teamId}/users/{userId}",
"params": {
"teamId": "FILL_ME_IN", # TODO: fill in required path parameter
"userId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a list of all users within your Fivetran account.
{
"name": "list_all_users",
"table_name": "user",
"endpoint": {
"data_selector": "$",
"path": "/v1/users",
"params": {
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a user object if a valid identifier was provided.
{
"name": "user_details",
"table_name": "user",
"endpoint": {
"data_selector": "$",
"path": "/v1/users/{userId}",
"params": {
"userId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# Returns a list of information about all users within a group in your Fivetran account.
{
"name": "list_all_users_in_group",
"table_name": "user",
"endpoint": {
"data_selector": "$",
"path": "/v1/groups/{groupId}/users",
"params": {
"groupId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of users and their roles within a team in your Fivetran account
{
"name": "list_users_in_team",
"table_name": "user",
"endpoint": {
"data_selector": "$",
"path": "/v1/teams/{teamId}/users",
"params": {
"teamId": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# This endpoint allows you to retrieve details of the existing webhook for a given identifier
{
"name": "webhook_details",
"table_name": "webhook",
"endpoint": {
"data_selector": "$",
"path": "/v1/webhooks/{webhookId}",
"params": {
"webhookId": "FILL_ME_IN", # TODO: fill in required path parameter
},
"paginator": "auto",
}
},
# The endpoint allows you to retrieve the list of existing webhooks available for the current account
{
"name": "list_all_webhooks",
"table_name": "webhook",
"endpoint": {
"data_selector": "$",
"path": "/v1/webhooks",
"params": {
# the parameters below can optionally be configured
# "cursor": "OPTIONAL_CONFIG",
# "limit": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
]
}
return rest_api_source(source_config)
2. Configuring your source and destination credentials
dlt-init-openapi
will try to detect which authentication mechanism (if any) is used by the API in question and add a placeholder in your secrets.toml
.
The dlt
cli will have created a .dlt
directory in your project folder. This directory contains a config.toml
file and a secrets.toml
file that you can use to configure your pipeline. The automatically created version of these files look like this:
generated config.toml
[runtime]
log_level="INFO"
[sources.fivetran]
# Base URL for the API
base_url = "https://api.fivetran.com"
generated secrets.toml
[sources.fivetran]
# secrets for your fivetran source
username = "FILL ME OUT" # TODO: fill in your credentials
password = "FILL ME OUT" # TODO: fill in your credentials
2.1. Adjust the generated code to your usecase
At this time, the dlt-init-openapi
cli tool will always create pipelines that load to a local duckdb
instance. Switching to a different destination is trivial, all you need to do is change the destination
parameter in fivetran_pipeline.py
to filesystem and supply the credentials as outlined in the destination doc linked below.
The default filesystem destination is configured to connect to AWS S3. To load to Google Cloud Storage, update the [destination.filesystem.credentials]
section in your secrets.toml
.
[destination.filesystem.credentials]
client_email="Please set me up!"
private_key="Please set me up!"
project_id="Please set me up!"
By default, the filesystem destination will store your files as JSONL
. You can tell your pipeline to choose a different format with the loader_file_format
property that you can set directly on the pipeline or via your config.toml
. Available values are jsonl
, parquet
and csv
:
[pipeline] # in ./dlt/config.toml
loader_file_format="parquet"
3. Running your pipeline for the first time
The dlt
cli has also created a main pipeline script for you at fivetran_pipeline.py
, as well as a folder fivetran
that contains additional python files for your source. These files are your local copies which you can modify to fit your needs. In some cases you may find that you only need to do small changes to your pipelines or add some configurations, in other cases these files can serve as a working starting point for your code, but will need to be adjusted to do what you need them to do.
The main pipeline script will look something like this:
import dlt
from fivetran import fivetran_source
if __name__ == "__main__":
pipeline = dlt.pipeline(
pipeline_name="fivetran_pipeline",
destination='duckdb',
dataset_name="fivetran_data",
progress="log",
export_schema_path="schemas/export"
)
source = fivetran_source()
info = pipeline.run(source)
print(info)
Provided you have set up your credentials, you can run your pipeline like a regular python script with the following command:
python fivetran_pipeline.py
4. Inspecting your load result
You can now inspect the state of your pipeline with the dlt
cli:
dlt pipeline fivetran_pipeline info
You can also use streamlit to inspect the contents of your Google Cloud Storage
destination for this:
# install streamlit
pip install streamlit
# run the streamlit app for your pipeline with the dlt cli:
dlt pipeline fivetran_pipeline show
5. Next steps to get your pipeline running in production
One of the beauties of dlt
is, that we are just a plain Python library, so you can run your pipeline in any environment that supports Python >= 3.8. We have a couple of helpers and guides in our docs to get you there:
The Deploy section will show you how to deploy your pipeline to
- Deploy with GitHub Actions: Learn how to deploy a pipeline using GitHub Actions, a CI/CD runner that you can use for free. Follow the guide here.
- Deploy with Airflow and Google Composer: Discover how to deploy your pipeline with Airflow and Google Composer, a managed Airflow environment provided by Google. Detailed instructions can be found here.
- Deploy with Google Cloud Functions: Explore how to deploy a pipeline using Google Cloud Functions for a serverless deployment. Find out more here.
- Other Deployment Methods: Check out other methods for deploying your pipeline, including various cloud services and CI/CD tools. More information is available here.
The running in production section will teach you about:
- How to Monitor your pipeline: Learn how to effectively monitor your
dlt
pipeline in production to ensure smooth operation and quick identification of issues. How to Monitor your pipeline - Set up alerts: Set up alerts to get notified of any issues or important events in your
dlt
pipeline, allowing for prompt action and minimal downtime. Set up alerts - Set up tracing: Implement tracing to gain insights into the performance and operation of your
dlt
pipeline, making debugging and optimization easier. And set up tracing
Available Sources and Resources
For this verified source the following sources and resources are available
Source Fivetran
Fivetran source for syncing connectors, configurations, and user data efficiently.
Resource Name | Write Disposition | Description |
---|---|---|
state | append | Represents the state of a Fivetran connector. |
connector | append | Contains data about the connectors used in Fivetran. |
column | append | Details about the columns in the tables managed by Fivetran. |
webhook | append | Information on webhooks configured in Fivetran. |
proxy_agent_response | append | Responses from proxy agents used in Fivetran. |
proxy | append | Data regarding the proxies configured in Fivetran. |
model | append | Information about the models used in Fivetran transformations. |
connector_type | append | Types of connectors available in Fivetran. |
transformation | append | Data about the transformations applied to the data in Fivetran. |
service_account | append | Details about the service accounts used in Fivetran. |
connection | append | Information on the connections established in Fivetran. |
local_processing_agent | append | Data about local processing agents in Fivetran. |
private_link | append | Information on private links configured in Fivetran. |
project | append | Data regarding the projects managed within Fivetran. |
team | append | Information about the teams using Fivetran. |
destination | append | Details about the data destinations configured in Fivetran. |
info | append | General information about the Fivetran setup. |
user | append | Data about the users in the Fivetran system. |
certificate | append | Information on the certificates used in Fivetran. |
schema | append | Details about the schemas used in Fivetran. |
group | append | Information on the groups configured in Fivetran. |
role | append | Data about the roles assigned to users in Fivetran. |
public_key | append | Details about the public keys used in Fivetran. |
external_logging | append | Information on external logging configurations in Fivetran. |
fingerprint | append | Data about the fingerprints used for security and authentication in Fivetran. |
Additional pipeline guides
- Load data from Vimeo to Redshift in python with dlt
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- Load data from Capsule CRM to AWS Athena in python with dlt
- Load data from Fivetran to Google Cloud Storage in python with dlt
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- Load data from Imgur to The Local Filesystem in python with dlt
- Load data from Spotify to Google Cloud Storage in python with dlt
- Load data from The Local Filesystem to PostgreSQL in python with dlt
- Load data from MongoDB to Snowflake in python with dlt
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