Query the Data Delivery Network

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 protocol. Any Splitgraph user can connect to it at data.splitgraph.com:5432 and query any version of over 40,000 datasets that are hosted or proxied by Splitgraph.

For example, you can query the covid19_vaccinations_by_residence_current_county table in this repository, by referencing it like:

"pa-gov/covid19-vaccinations-by-residence-current-county-gcnb-epac:latest"."covid19_vaccinations_by_residence_current_county"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "rate_bivalent_booster_1", -- Vaccination rate per 100,000 Pennsylvania residents that received the Bivalent Booster 1. Bivalent booster doses include vaccinations using the bivalent formulation of Moderna and Pfizer vaccines beyond the primary series administered to the recommended age groups on or after September 2, 2022 following CDC guidelines. The updated (bivalent) boosters are called “bivalent” because they protect against both the original virus that causes COVID-19 and the Omicron variant BA.4 and BA.5.  Bivalent Booster doses for children under 12 years old are not authorized at this time.
    "additional_dose_2", -- Quantity of individuals who have received an additional vaccine dose #2 against COVID disease since March 29, 2022
    "partially_covered", -- Quantity of individuals who have received a vaccine that provides partial coverage against COVID disease
    "county", -- County name
    "bivalent_booster_1", -- Bivalent booster doses include vaccinations using the bivalent formulation of Moderna and Pfizer vaccines beyond the primary series administered to the recommended age groups on or after September 2, 2022 following CDC guidelines. The updated (bivalent) boosters are called “bivalent” because they protect against both the original virus that causes COVID-19 and the Omicron variant BA.4 and BA.5.  Bivalent Booster doses for children under 12 years old are not authorized at this time.
    "fully_covered", -- Quantity of individuals who have received a vaccine that provides full coverage against COVID disease
    "county_population", -- 2019 population data used from the Pennsylvania State Data Center at Penn State Harrisburg.
    "rate_additional_dose_2", -- Vaccination rate per 100,000 Pennsylvania residents that received an additional dose #2 against COVID disease since March 29, 2022
    "additional_dose1", -- Quantity of individuals who have received an additional vaccine dose #1against COVID disease since August 13, 2021.
    "rate_partially_covered", -- Vaccination rate per 100,000 Pennsylvania residents that are partially covered against COVID disease
    "rate_additional_dose1", -- Vaccination rate per 100,000 Pennsylvania residents that received an additional dose #1 against COVID disease since August 13, 2021.
    "rate_fully_covered" -- Vaccination rate per 100,000 Pennsylvania residents that are fully covered against COVID disease
FROM
    "pa-gov/covid19-vaccinations-by-residence-current-county-gcnb-epac:latest"."covid19_vaccinations_by_residence_current_county"
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 pa-gov/covid19-vaccinations-by-residence-current-county-gcnb-epac with SQL in under 60 seconds.

This repository is an "external" repository. That means it's hosted elsewhere, in this case at data.pa.gov. When you querypa-gov/covid19-vaccinations-by-residence-current-county-gcnb-epac: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

bash -c "$(curl -sL https://github.com/splitgraph/splitgraph/releases/latest/download/install.sh)"

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 data.pa.gov, 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 \
  "pa-gov/covid19-vaccinations-by-residence-current-county-gcnb-epac" \
  --handler-options '{
    "domain": "data.pa.gov",
    "tables": {
        "covid19_vaccinations_by_residence_current_county": "gcnb-epac"
    }
}'

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, pa-gov/covid19-vaccinations-by-residence-current-county-gcnb-epac is just another Postgres schema.