Loading Data from Fivetran
to Azure Cosmos DB
using dlt
in Python
We will be using the dlt PostgreSQL destination to connect to Azure Cosmos DB. You can get the connection string for your Azure Cosmos DB database as described in the Azure Cosmos DB Docs.
Join our Slack community or book a call with our support engineer Violetta.
Loading data from Fivetran
to Azure Cosmos DB
using the open-source python library dlt
simplifies the ETL process for modern app development. Fivetran
is an ETL tool that helps customers utilize their data for AI applications, ML models, predictive analytics, and operational workloads. Azure Cosmos DB
is a fully managed NoSQL and relational database designed for contemporary app development, offering a free trial to get started. By leveraging dlt
, you can efficiently load data from Fivetran
to Azure Cosmos DB
, ensuring seamless data integration and management. For more information on Fivetran
, visit their website.
dlt
Key Features
- Pipeline Metadata:
dlt
pipelines leverage metadata to provide governance capabilities, including load IDs for tracking data loads and facilitating data lineage and traceability. Read more. - Schema Enforcement and Curation:
dlt
empowers users to enforce and curate schemas, ensuring data consistency and quality by defining the structure of normalized data and guiding the processing and loading of data. Read more. - Scalability via Iterators, Chunking, and Parallelization:
dlt
offers scalable data extraction by leveraging iterators, chunking, and parallelization techniques, enabling efficient processing of large datasets. Read more. - Using dbt for Transformations:
dlt
integrates with dbt to structure transformations into DAGs, providing cross-database compatibility and various features such as templating, backfills, testing, and troubleshooting. Read more. - Using the
dlt
SQL Client: Leverage thedlt
SQL client to query loaded data and perform transformations using SQL statements, allowing for schema changes or data manipulation within tables. 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 postgres and supply the credentials as outlined in the destination doc linked below.
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 Azure Cosmos DB
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: Follow this guide to learn how to use GitHub Actions for deploying your
dlt
pipeline, including setting up a cron schedule and customizing the deployment process. - Deploy with Airflow and Google Composer: This tutorial walks you through deploying a
dlt
pipeline using Airflow and Google Composer, from initial setup to creating and customizing Airflow DAGs. - Deploy with Google Cloud Functions: Learn how to deploy your
dlt
pipeline using Google Cloud Functions by following this step-by-step guide, which covers everything from initial setup to deployment. - Explore Other Deployment Options: For additional deployment methods and detailed guides, visit the comprehensive deployment walkthroughs on the
dlt
documentation site.
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 and reliable data processing. Read more - Set up alerts: Set up alerts to get notified about any issues or anomalies in your
dlt
pipeline, ensuring you can take immediate action. Read more - And set up tracing: Implement tracing to track the execution flow and performance of your
dlt
pipeline, providing valuable insights for debugging and optimization. Read more
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 Oracle Database to Snowflake in python with dlt
- Load data from PostgreSQL to AWS S3 in python with dlt
- Load data from Qualtrics to Neon Serverless Postgres in python with dlt
- Load data from GitHub to Neon Serverless Postgres in python with dlt
- Load data from Spotify to MotherDuck in python with dlt
- Load data from IFTTT to Timescale in python with dlt
- Load data from ClickHouse Cloud to PostgreSQL in python with dlt
- Load data from Klarna to Neon Serverless Postgres in python with dlt
- Load data from The Local Filesystem to Azure Cloud Storage in python with dlt
- Load data from Harvest to ClickHouse in python with dlt