Query the Data Delivery Network
Query the DDNThe 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_age_group_current table in this repository, by referencing it like:
"pa-gov/covid19-vaccinations-by-age-group-current-xy2e-dqvt:latest"."covid19_vaccinations_by_age_group_current"or in a full query, like:
SELECT
":id", -- Socrata column ID
"fully_covered", -- Quantity of individuals who have received a vaccine that provides full coverage against COVID disease. For 2-shot vaccine 1-shot is partial. For the J&J 1-shot vaccine this will be counted in the full coverage. This is the total current count.
"additional_dose_2", -- Second booster doses administered since March 29, 2022 includes mRNA vaccinations beyond the primary series and one additional COVIDS vaccine as a second booster dose administered on or after 03-29-2022 to individuals ages 50+ at the recommended intervals per CDC guidelines. This category also includes additional doses of mRNA COVID vaccines administered on or after 03-29-2022 to immunocompromised individual at the CDC recommended internal.
"additional_dose", -- First Booster doses administered since August 13, 2021 includes vaccinations beyond the primary series administered to the suggested groups at the recommended intervals on or after 08-13-2021 following CDC guidelines. Such vaccinations are commonly called booster doses. This category also includes additional does of COVID vaccine administered on or after 08-13-2021 to immunocompromised individual at the CDC recommended interval.
"partially_covered", -- Quantity of individuals who have received a vaccine that provides partial coverage against COVID disease. For 2-shot vaccine 1-shot is partial. For the J&J 1-shot vaccine this will be counted in the full coverage. This is the total current count.
"age_group", -- Age groups who have received a vaccine against COVID disease. Ages are grouped as follows: All Ages, 00-04, 05-09, 10-14, 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75-79, 80-84, 85 -89 , 90-94, 95-99, 100-104, 105+
"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.
FROM
"pa-gov/covid19-vaccinations-by-age-group-current-xy2e-dqvt:latest"."covid19_vaccinations_by_age_group_current"
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-age-group-current-xy2e-dqvt with SQL in under 60 seconds.
Query Your Local Engine
bash -c "$(curl -sL https://github.com/splitgraph/splitgraph/releases/latest/download/install.sh)"Read the installation docs.
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, 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 (like this repository), where the author has pushed Splitgraph Images to the repository, you can "clone" and/or "checkout" the data using sgr cloneand sgr checkout.
Cloning Data
Because pa-gov/covid19-vaccinations-by-age-group-current-xy2e-dqvt:latest is a Splitgraph Image, you can clone the data from Spltgraph Cloud to your local engine, where you can query it like any other Postgres database, using any of your existing tools.
First, install Splitgraph if you haven't already.
Clone the metadata with sgr clone
This will be quick, and does not download the actual data.
sgr clone pa-gov/covid19-vaccinations-by-age-group-current-xy2e-dqvtCheckout the data
Once you've cloned the data, you need to "checkout" the tag that you want. For example, to checkout the latest tag:
sgr checkout pa-gov/covid19-vaccinations-by-age-group-current-xy2e-dqvt:latestThis will download all the objects for the latest tag of pa-gov/covid19-vaccinations-by-age-group-current-xy2e-dqvt and load them into the Splitgraph Engine. Depending on your connection speed and the size of the data, you will need to wait for the checkout to complete. Once it's complete, you will be able to query the data like you would any other Postgres database.
Alternatively, use "layered checkout" to avoid downloading all the data
The data in pa-gov/covid19-vaccinations-by-age-group-current-xy2e-dqvt:latest is 0 bytes. If this is too big to download all at once, or perhaps you only need to query a subset of it, you can use a layered checkout.:
sgr checkout --layered pa-gov/covid19-vaccinations-by-age-group-current-xy2e-dqvt:latestThis will not download all the data, but it will create a schema comprised of foreign tables, that you can query as you would any other data. Splitgraph will lazily download the required objects as you query the data. In some cases, this might be faster or more efficient than a regular checkout.
Read the layered querying documentation to learn about when and why you might want to use layered queries.
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-age-group-current-xy2e-dqvt is just another Postgres schema.