Load PowerDNS data to DuckDB
Build a PowerDNS to DuckDB pipeline with your coding agent. One prompt scaffolds it with the dltHub AI harness, plus the PowerDNS API base URL, auth, endpoints, and incremental loading.
PowerDNS is a DNS server software package providing a REST API for managing DNS zones, configuration, and statistics. Everything needed to build a working PowerDNS → DuckDB pipeline is on this page: the API's base URL, authentication, endpoints, pagination and incremental field — plus a prompt that hands the whole job to your coding agent.
Build your PowerDNS to DuckDB pipeline
Paste this prompt into Claude, Codex, or Cursor. The agent does the rest.
PromptRunuvx dlthub-init@latestto build a pipeline from PowerDNS to DuckDB and run it on dltHub
That scaffolds a dltHub workspace and installs the dltHub AI harness — the project rules, the secrets-management skill, and the dlt MCP server your agent needs to work safely. From there it reads the PowerDNS API, proposes the endpoints to load, then writes, runs and validates the pipeline while you review rather than type. Credentials are inspected through MCP tools, so your agent never reads secrets.toml itself. How the LLM-native workflow works →
Prefer to write it yourself? Every fact the agent uses is below.
PowerDNS API at a glance
| Base URL | /api/v1 |
| Example endpoint | GET servers |
| Authentication | requests require a static API key sent via the X-API-Key header — sent in the X-API-Key header |
| Pagination | Not paginated |
| Record id | id |
| API reference | https://docs.powerdns.com/authoritative/http-api/index.html |
These values come from the PowerDNS API reference — the authoritative source if anything here looks out of date.
How do I authenticate with the PowerDNS API?
The API uses a static API key for authentication, which must be provided in the X-API-Key HTTP header.
1. Get your credentials
PowerDNS does not use a web dashboard for API key generation. To configure authentication, edit your PowerDNS configuration file (typically 'pdns.conf' for the Authoritative Server or your recursor configuration file). Enable the API by setting 'api=yes' (Authoritative) or configuring the webserver settings. Define your pre-shared secret by setting 'api-key=your_secret_here'. Optionally, since version 4.6.0, you can use 'pdnsutil hash-password' to generate a hashed version of your API key for enhanced security instead of using plaintext. Restart the service after modifying the configuration to apply the changes.
2. Add them to .dlt/secrets.toml
[sources.powerdns_source] api_key = "your_secret_here"
dlt reads this file automatically at runtime. With the harness, the setup-secrets skill prompts you for the values and never handles the raw credential in chat. For production, see setting up credentials with dlt.
What PowerDNS data can I load into DuckDB?
These are the PowerDNS endpoints dlt can load into DuckDB:
| Resource | Endpoint | Method | Data selector | Description |
|---|---|---|---|---|
| servers | /servers | GET | List all servers | |
| server | /servers/{server_id} | GET | Get a specific server | |
| zones | /servers/{server_id}/zones | GET | List all zones for a server | |
| zone | /servers/{server_id}/zones/{zone_id} | GET | Get a specific zone | |
| zone_export | /servers/{server_id}/zones/{zone_id}/export | GET | Export a zone | |
| statistics | /servers/{server_id}/statistics | GET | Get server statistics |
How do I load only new PowerDNS records?
The PowerDNS API reference does not document a timestamp or sequence field for these endpoints, so there is nothing to advertise here as verified. Pick a field from the endpoints table above that increases with every write, then set it as the cursor_path.
{"name": "servers", "endpoint": { "path": "servers", # Replace with a field that increases on every write. "incremental": {"cursor_path": "REPLACE_ME", "initial_value": "2024-01-01T00:00:00Z"}, }}
On the first run dlt loads everything from initial_value; on every run after that it requests only what changed and appends with write_disposition="merge" if you set a primary key. See incremental loading.
What does the generated PowerDNS pipeline look like?
A standard dlt REST API pipeline — the same code you would write by hand, loading /servers/localhost/zones and /servers/localhost/statistics from the PowerDNS API into DuckDB:
import dlt from dlt.sources.rest_api import RESTAPIConfig, rest_api_resources @dlt.source def powerdns_source(api_key=dlt.secrets.value): config: RESTAPIConfig = { "client": { "base_url": "/api/v1", "auth": {"type": "api_key", "api_key": api_key, "name": "X-API-Key", "location": "header"}, }, "resources": [ {"name": "servers", "endpoint": {"path": "servers"}}, {"name": "zones", "endpoint": {"path": "servers/localhost/zones"}} ], } yield from rest_api_resources(config) def load_powerdns_to_duckdb() -> None: pipeline = dlt.pipeline( pipeline_name="powerdns_pipeline", destination="duckdb", dataset_name="powerdns_data", ) load_info = pipeline.run(powerdns_source()) print(load_info) if __name__ == "__main__": load_powerdns_to_duckdb()
Run it with python powerdns_pipeline.py. The agent iterates on this until it loads cleanly — you review and approve, rather than write it from scratch.
How do I query PowerDNS data in DuckDB?
dlt creates one table per resource. Query the loaded data with Python or SQL — or ask your agent to, through the MCP server's execute_sql_query tool.
Python (pandas DataFrame):
import dlt data = dlt.pipeline("powerdns_pipeline").dataset() df = data.zones.df() print(df.head())
SQL:
SELECT * FROM powerdns_data.zones LIMIT 10;
See querying your data with dataset and exploring it in marimo notebooks.
How do I deploy the PowerDNS to DuckDB pipeline in production?
The pipeline runs locally, which is ideal for prototyping and one-off analysis. When you need it on a schedule, monitored on every load, and shared with your team, deploy the same dlt code on the dltHub platform — no infrastructure to maintain. The prompt above already ends with "run it on dltHub", so your agent can take it there directly.
- Deploy & schedule — run the pipeline as a managed job with automatic retries.
- Monitor — observable job queues, alerting, and load metrics for every run.
- Transform — promote raw PowerDNS loads into governed, documented models.
- Visualize & share — explore data in notebooks and publish live dashboards instead of static screenshots.
What other destinations can I load PowerDNS data to?
dlt loads into any of these — only the destination argument changes:
| Destination | Example value |
|---|---|
| PostgreSQL | "postgres" |
| BigQuery | "bigquery" |
| Snowflake | "snowflake" |
| Redshift | "redshift" |
| Databricks | "databricks" |
| Filesystem (S3, GCS, Azure) | "filesystem" |
Set dlt.pipeline(destination="snowflake") and add credentials in .dlt/secrets.toml. On the dltHub platform the same pipeline runs against a managed Iceberg lakehouse. See the full destinations list.
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