• dnrec
  • energy
  • energy efficiency
  • environment

Query the Data Delivery Network

Query the DDN

The easiest way to query any data on Splitgraph is via the "Data Delivery Network" (DDN). The DDN is a single endpoint that speaks the PostgreSQL wire procotol. Any Splitgraph user can connect to it at and query any version of over 40,000 datasets that are hosted or proxied by Splitgraph.

For example, you can query the energy_efficiency_investment_fund_eeif_grants_fy table in this repository, by referencing it like:


or in a full query, like:

    ":id", -- Socrata column ID
    "propane_fuel_oil_provider", -- Propane gas provider for grant award recipient.
    "proposed_fuel_oil_propane", -- Estimated annual fuel oil/propane usage reduction from grant award recipient's energy efficiency project. Measured in kilo British Thermal Units per year.
    "representative_district", -- State representative district of grant award recipient.
    "site_description", -- Grant award recipient facility type (non-profit, commercial, industrial, government agency/municipality).
    "state", -- State of grant award recipient.
    "location", -- Latitude and longitude of grant award recipient.
    "control_number", -- Unique identifier for each grant award.
    "proposed_natural_gas_savings", -- Estimated annual natural gas usage reduction from grant award recipient's energy efficiency project. Measured in kilo British Thermal Units per year.
    "street_address", -- Street address of grant award recipient.
    "county", -- County of grant award recipient.
    "natural_gas_provider", -- Natural gas provider for grant award recipient.
    "year_built_presc_custom", -- Year that grant award recipient's building was constructed.
    "electricity_provider", -- Electricity provider for grant award recipient.
    "greenhouse_gas_emission", -- Estimated annual greenhouse gas emissions reduction from grant award recipient's energy efficiency project. Measured in metric tons of CO2 per year.
    "proposed_electricity_savings", -- Estimated annual electricity usage reduction from grant award recipient's energy efficiency project. Measured in kilowatt hours per year.
    "individual_savings_kwh_yr", -- Estimated annual monetary savings from grant award recipient's energy efficiency project. Measured in US Dollars per year.
    "award_of_total_project_cost", -- Percentage of total project cost that grant award offsets, not to exceed 30% for energy efficiency installments and not to exceed 50% of energy assessment cost (not to exceed $10,000.00 per facility).
    "total_project_cost", -- Total project cost of grant award recipient's energy efficiency project.
    "final_award_amount", -- Amount paid to grant recipient for energy efficiency project. Measured in US Dollars.
    "appropriation", -- Funding source for grant award recipient: Merger (Eligible for non-residential entities that are Delmarva Power and Light customers), DESEU (Eligible for local governments and non-profits), DNREC (Eligible for all non-residential entities), or PUT (Eligible for non-residential entities that pay the Public Utility Tax).
    "senatorial_district", -- State senatorial district of grant award recipient.
    "building_square_footage_presc", -- Estimated square footage of grant award recipient's building.
    "project_description", -- Type of energy efficiency measure installed or assessment completed at facility.
    "latitude", -- Latitude of grant award recipient.
    "zip_code", -- Zip Code of grant award recipient.
    "city", -- City of grant award recipient.
    "app_completed_to_fiscal_date", -- Date grant award is approved for payment.
    "name_of_grantee", -- Name of commercial, non-profit, industrial, or government agency/municipality grant award recipient.
    "longitude" -- Longitude of grant award recipient.
LIMIT 100;

Connecting to the DDN is easy. All you need is an existing SQL client that can connect to Postgres. As long as you have a SQL client ready, you'll be able to query delaware-gov/energy-efficiency-investment-fund-eeif-grants-fy-vukm-g6g5 with SQL in under 60 seconds.

This repository is an "external" repository. That means it's hosted elsewhere, in this case at When you querydelaware-gov/energy-efficiency-investment-fund-eeif-grants-fy-vukm-g6g5:latest on the DDN, we "mount" the repository using the socrata mount handler. The mount handler proxies your SQL query to the upstream data source, translating it from SQL to the relevant language (in this case SoQL).

We also cache query responses on the DDN, but we run the DDN on multiple nodes so a CACHE_HIT is only guaranteed for subsequent queries that land on the same node.

Query Your Local Engine

Install Splitgraph Locally

bash -c "$(curl -sL"

Splitgraph Cloud is built around Splitgraph Core (GitHub), which includes a local Splitgraph Engine packaged as a Docker image. Splitgraph Cloud is basically a scaled-up version of that local Engine. When you query the Data Delivery Network or the REST API, we mount the relevant datasets in an Engine on our servers and execute your query on it.

It's possible to run this engine locally. You'll need a Mac, Windows or Linux system to install sgr, and a Docker installation to run the engine. You don't need to know how to actually use Docker; sgrcan manage the image, container and volume for you.

There are a few ways to ingest data into the local engine.

For external repositories (like this repository), the Splitgraph Engine can "mount" upstream data sources by using sgr mount. This feature is built around Postgres Foreign Data Wrappers (FDW). You can write custom "mount handlers" for any upstream data source. For an example, we blogged about making a custom mount handler for HackerNews stories.

For hosted datasets, where the author has pushed Splitgraph Images to the repository, you can "clone" and/or "checkout" the data using sgr cloneand sgr checkout.

Mounting Data

This repository is an external repository. It's not hosted by Splitgraph. It is hosted by, and Splitgraph indexes it. This means it is not an actual Splitgraph image, so you cannot use sgr clone to get the data. Instead, you can use the socrata adapter with the sgr mount command. Then, if you want, you can import the data and turn it into a Splitgraph image that others can clone.

First, install Splitgraph if you haven't already.

Mount the table with sgr mount

sgr mount socrata \
  "delaware-gov/energy-efficiency-investment-fund-eeif-grants-fy-vukm-g6g5" \
  --handler-options '{
    "domain": "",
    "tables": {
        "energy_efficiency_investment_fund_eeif_grants_fy": "vukm-g6g5"

That's it! Now you can query the data in the mounted table like any other Postgres table.

Query the data with your existing tools

Once you've loaded the data into your local Splitgraph engine, you can query it with any of your existing tools. As far as they're concerned, delaware-gov/energy-efficiency-investment-fund-eeif-grants-fy-vukm-g6g5 is just another Postgres schema.

Related Documentation: