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 poblacin_sistema_del_subsidio_familiar_2020 table in this repository, by referencing it like:

"datos-gov-co/poblacin-sistema-del-subsidio-familiar-2020-swcz-vvdm:latest"."poblacin_sistema_del_subsidio_familiar_2020"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "afiliados_pensionados", -- Personas que reciben una asignación económica por vejez, invalidez o sobrevivencia. Con aporte del 0.6 %, del 2.0 %.o sin aporte (0%). Es el total de afiliados pensionados en un mes. No es un valor que se acumula.
    "afiliados_fidelidad", -- Personas que llevan más de 25 años afiliado a Cajas de Compensación Familiar. Es el total de afiliados por fidelidad en un mes. No es un valor que se acumula.
    "afiliados_facultativos", -- Personas que no tienen vínculo laboral con ningún empleador, y cotizan en una EPS y en un fondo de pensiones y hacen aportes del 0,6% o del 2%. Es el total de afiliados independientes en un mes. No es un valor que se acumula.
    "a_o", -- Año del reporte
    "mes", -- Mes del reprote
    "ccf", -- Nombre dado a la Caja de Compensación Familiar
    "id_ccf", -- CCódigo asignado a la Caja de Compensación Familiar
    "personas_cargo_2", -- Cargo Son los parientes de los afiliados. Son los hijos, hijastros, hermanos huérfanos de padres, padres mayores de 60 años que convivan y dependan económicamente del trabajador. Es el total de personas a cargo en un mes. No es un valor que se acumula.
    "total_poblaci_n_cubierta", -- Es la suma del total de afiliados mas las personas a cargo afiliadas a una Caja de Compensación Familiar. Es el total de la población cubierta en un mes. No es un valor que se acumula.
    "no_afiliados_con_derecho", -- Son personas que ya no están afiliadas a una Caja de Compensación Familiar pero que tenían pendiente el pago del subsidio familiar por la Caja de Compensación Familiar. Son afilados dependientes y que tienen hijos u otros familiares que dependen de él, Es el total de afiliados en un mes. No es un valor que se acumula
    "total_afiliados_cajas", -- Es el total de afiliados a las Cajas de Compensación Familiar bajo cualquier modalidad de afiliación. Es el total de afiliados en un mes. No es un valor que se acumula.
    "empresas_afiliadas", -- Empresas afiliadas a la Caja bajo cualquier condición legal de acuerdo con las normas vigentes. El total de empresas afiliadas en un mes. No es un valor que se acumula
    "trabajadores_afiliados" -- Son aquellas personas que prestan su servicio a otra persona, natural o jurídica, bajo la figura del contrato de trabajo, por ello, existe subordinación y el pago de un salario. Es el total de afiliados dependientes en un mes. No es un valor que se acumula.
FROM
    "datos-gov-co/poblacin-sistema-del-subsidio-familiar-2020-swcz-vvdm:latest"."poblacin_sistema_del_subsidio_familiar_2020"
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 datos-gov-co/poblacin-sistema-del-subsidio-familiar-2020-swcz-vvdm with SQL in under 60 seconds.

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, 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 datos-gov-co/poblacin-sistema-del-subsidio-familiar-2020-swcz-vvdm: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 datos-gov-co/poblacin-sistema-del-subsidio-familiar-2020-swcz-vvdm

• View documentation for sgr clone
• Learn about metadata vs. data

Checkout 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 datos-gov-co/poblacin-sistema-del-subsidio-familiar-2020-swcz-vvdm:latest

This will download all the objects for the latest tag of datos-gov-co/poblacin-sistema-del-subsidio-familiar-2020-swcz-vvdm 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 datos-gov-co/poblacin-sistema-del-subsidio-familiar-2020-swcz-vvdm: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 datos-gov-co/poblacin-sistema-del-subsidio-familiar-2020-swcz-vvdm:latest

This 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, datos-gov-co/poblacin-sistema-del-subsidio-familiar-2020-swcz-vvdm is just another Postgres schema.

Related Documentation:

• Querying data with Python/jupyter
• Configuring DataGrip for Splitgraph
• Configuring Metabase for Splitgraph
• How to connect SQL clients to Splitgraph Engine