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 sistema_de_informacin_de_actividades_comunitarias table in this repository, by referencing it like:
"datos-gov-co/sistema-de-informacin-de-actividades-comunitarias-gfh4-ddz7:latest"."sistema_de_informacin_de_actividades_comunitarias"or in a full query, like:
SELECT
":id", -- Socrata column ID
"orden", -- Consecutivo
"sif1", -- Si a la persona participante se le realizón prueba de sifilis 1
"departamento", -- Departamento donde se realizó la actividad
"municipio", -- municipio donde se realizó la actividad
"lugar_actividad", -- lugar donde se realizó la actividad
"hepb", -- Si a la persona participante se le realizón prueba de hepatitis B
"tipo_prueba_hepb", -- Tipo de prueba reactivo hepatitis B
"hepc", -- Si a la persona participante se le realizón prueba de hepatitis C
"tipo_prueba_hepc", -- Tipo de prueba reactivo hepatitis C
"entidad_login", -- Nombre de la institucion que realizó la actividad
"institucion", -- institucion donde se realizó la actividad
"dpto_residencia", -- departamento residencia del participante
"municipio_residencia", -- municipio residencia del participante
"fecha_asesoria_pre", -- fecha asesoria previa a la realización de la prueba (01/01/1900 = Vacios)
"fecha_prueba_rapida", -- fecha de realización de la prueba rapida (01/01/1900 = Vacios)
"acepta_canalizacion_sgto", -- acepta canalizacion sgto
"numero_condones", -- Numero de condones que recibió la persona participante
"motivo_prueba", -- motivo del participante para realizarse la prueba
"observaciones", -- observaciones de quien realiza la actividad (NO DISPONIBLE, Vacios)
"poblacion_clave", -- poblacion clave a la cual pertenece la persona participante
"sexo_al_nacer", -- sexo al nacer de la persona participante
"tipo_prueba_vih1", -- Tipo de prueba reactivo vih1
"tipoinstitucion", -- tipo de institucion donde se realizó la actividad
"fecha_asesoria_post", -- fecha asesoria posterior a la realización de la prueba (01/01/1900 = Vacios)
"institucion_ruta", -- Ruta a la cual se debe dirigir el participante en caso de resultar positiva la prueba (NO DISPONIBLE, Vacios)
"edad", -- edad de la persona participante (-89, Vacios)
"tipo_regimen", -- tipo regimen de cobertura en salud de la persona participante
"aseguradora", -- aseguradora de la persona participante
"recibio_condones", -- informa si el participante recibio condones
"vih1", -- Si a la persona participante se le realizón prueba de vih1
"vih2", -- Si a la persona participante se le realizón prueba de vih2
"tipo_prueba_vih2", -- Tipo de prueba reactivo vih2
"tipo_prueba_sif1", -- Tipo de prueba reactivo sifilis 1
"tipo_financiamiento", -- Tipo de financiamiendo de la actividad
"tipo_lugar", -- Clasificación general del lugar donde se realizó la actividad
"comuna_correg", -- Comuna o corregimiento donde se realizó la actividad
"acepta_prueba", -- Si a la persona participante acepta prueba
"tiene_encuesta_sisben", -- Si la persona participante tiene encuesta sisben
"institucion_atiende", -- institucion atiende a la persona participante
"asegurado_sgsss" -- Si la persona participante está asegurada al sistema de seguridad social en salud
FROM
"datos-gov-co/sistema-de-informacin-de-actividades-comunitarias-gfh4-ddz7:latest"."sistema_de_informacin_de_actividades_comunitarias"
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/sistema-de-informacin-de-actividades-comunitarias-gfh4-ddz7 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 datos-gov-co/sistema-de-informacin-de-actividades-comunitarias-gfh4-ddz7: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/sistema-de-informacin-de-actividades-comunitarias-gfh4-ddz7Checkout 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/sistema-de-informacin-de-actividades-comunitarias-gfh4-ddz7:latestThis will download all the objects for the latest tag of datos-gov-co/sistema-de-informacin-de-actividades-comunitarias-gfh4-ddz7 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/sistema-de-informacin-de-actividades-comunitarias-gfh4-ddz7: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/sistema-de-informacin-de-actividades-comunitarias-gfh4-ddz7: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, datos-gov-co/sistema-de-informacin-de-actividades-comunitarias-gfh4-ddz7 is just another Postgres schema.