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_zip_code_by_age_group table in this repository, by referencing it like:
"pa-gov/covid19-vaccinations-by-zip-code-by-age-group-23vq-vzvj:latest"."covid19_vaccinations_by_zip_code_by_age_group"or in a full query, like:
SELECT
":id", -- Socrata column ID
"georeferenced_latitude_longitude",
"fullycovered_105_plus", -- Quantity of individuals aged 105 and older years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_100_104", -- Quantity of individuals aged 100 to 104 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_95_99", -- Quantity of individuals aged 95 to 99 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_90_94", -- Quantity of individuals aged 90 to 94 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_80_84", -- Quantity of individuals aged 80 to 84 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_75_79", -- Quantity of individuals aged 75 to 79 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_45_49", -- Quantity of individuals aged 45 to 49 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_40_44", -- Quantity of individuals aged 40 to 44 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_35_39", -- Quantity of individuals aged 35 to 39 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_30_34", -- Quantity of individuals aged 30 to 34 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_20_24", -- Quantity of individuals aged 20 to 24 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_15_19", -- Quantity of individuals aged 15 to 19 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_10_14", -- Quantity of individuals aged 10 to 14 years old who have received a vaccine that provides full coverage against COVID disease
"partiallycovered_105_plus", -- Quantity of individuals aged 105 and older years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_95_99", -- Quantity of individuals aged 95 to 99 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_90_94", -- Quantity of individuals aged 90 to 94 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_85_89", -- Quantity of individuals aged 85 to 89 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_80_84", -- Quantity of individuals aged 80 to 84 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_70_74", -- Quantity of individuals aged 70 to 74 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_65_69", -- Quantity of individuals aged 65 to 69 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_60_64", -- Quantity of individuals aged 60 to 64 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_55_59", -- Quantity of individuals aged 55 to 59 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_50_54", -- Quantity of individuals aged 50 to 54 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_45_49", -- Quantity of individuals aged 45 to 49 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_40_44", -- Quantity of individuals aged 40 to 44 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_30_34", -- Quantity of individuals aged 30 to 34 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_25_29", -- Quantity of individuals aged 25 to 29 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_20_24", -- Quantity of individuals aged 20 to 24 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_15_19", -- Quantity of individuals aged 15 to 19 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_10_14", -- Quantity of individuals aged 10 to 14 years old who have received a vaccine that provides partial coverage against COVID disease
"patient_zip_code", -- Zip code where patient resides
"fullycovered_85_89", -- Quantity of individuals aged 85 to 89 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_50_54", -- Quantity of individuals aged 50 to 54 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_70_74", -- Quantity of individuals aged 70 to 74 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_25_29", -- Quantity of individuals aged 25 to 29 years old who have received a vaccine that provides full coverage against COVID disease
"partiallycovered_75_79", -- Quantity of individuals aged 75 to 79 years old who have received a vaccine that provides partial coverage against COVID disease
"partiallycovered_35_39", -- Quantity of individuals aged 35 to 39 years old who have received a vaccine that provides partial coverage against COVID disease
"fullycovered_60_64", -- Quantity of individuals aged 60 to 64 years old who have received a vaccine that provides full coverage against COVID disease
"partiallycovered_100_104", -- Quantity of individuals aged 100 to 104 years old who have received a vaccine that provides partial coverage against COVID disease
"fullycovered_55_59", -- Quantity of individuals aged 55 to 59 years old who have received a vaccine that provides full coverage against COVID disease
"fullycovered_65_69", -- Quantity of individuals aged 65 to 69 years old who have received a vaccine that provides full coverage against COVID disease
":@computed_region_pe6w_7d2d",
":@computed_region_nmsq_hqvv" -- This column was automatically created in order to record in what polygon from the dataset 'Pennsylvania County Boundaries' (nmsq-hqvv) the point in column 'georeferenced_latitude_longitude' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.
FROM
"pa-gov/covid19-vaccinations-by-zip-code-by-age-group-23vq-vzvj:latest"."covid19_vaccinations_by_zip_code_by_age_group"
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-zip-code-by-age-group-23vq-vzvj 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-zip-code-by-age-group-23vq-vzvj: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)"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 (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-zip-code-by-age-group-23vq-vzvj" \
--handler-options '{
"domain": "data.pa.gov",
"tables": {
"covid19_vaccinations_by_zip_code_by_age_group": "23vq-vzvj"
}
}'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-zip-code-by-age-group-23vq-vzvj is just another Postgres schema.