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 esquema_de_publicacin_de_informacin_de_la_ese table in this repository, by referencing it like:
"datos-gov-co/esquema-de-publicacin-de-informacin-de-la-ese-dvgz-dyn8:latest"."esquema_de_publicacin_de_informacin_de_la_ese"or in a full query, like:
SELECT
":id", -- Socrata column ID
"subcategoria", -- Se refiere a las subcategorías en las que se puede dividir cada una de las categorías de información
"lugar_de_consulta", -- En este campo se establece la URL en donde se puede consultar el documento o información
"medio_de_conservacion", -- Hace referencia a si el documento esta publicado en formato electrónico, esta disponible de manera física o en ambos formatos
"categoria", -- Hace referencia a las categorías de información que deben ser publicadas según la ley 1712 de 2014
"formato", -- Hace referencia al formato electrónico en el cual esta publicado el documento o información. Los formatos disponibles son: EXCEL, HTML, PDF
"responsable_produccion", -- Corresponde al nombre del área, dependencia o unidad interna, o al nombre de la entidad externa que creó la información. Ver Decreto 103 de 2015 Artículo 40 numeral 6
"responsable_custodia", -- Corresponde al nombre del área, dependencia o unidad encargada de la custodia o control de la información para efectos de permitir su acceso. Ver Decreto 103 de 2015 Artículo 40 numeral 7
"idioma", -- Idioma en le que esta publicado el documento o información
"titulo_informacion", -- Nombre o titulo con el que se identifica el archivo o información publicada
"frecuencia_actualizacion", -- Hace referencia al periodo de tiempo entre cada modificación o actualización
"fecha_de_generacion" -- Fecha en la cual el archivo fue generado. En caso de no se tenga la fecha o no aplique se establece 1845/01/01
FROM
"datos-gov-co/esquema-de-publicacin-de-informacin-de-la-ese-dvgz-dyn8:latest"."esquema_de_publicacin_de_informacin_de_la_ese"
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/esquema-de-publicacin-de-informacin-de-la-ese-dvgz-dyn8 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/esquema-de-publicacin-de-informacin-de-la-ese-dvgz-dyn8: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/esquema-de-publicacin-de-informacin-de-la-ese-dvgz-dyn8Checkout 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/esquema-de-publicacin-de-informacin-de-la-ese-dvgz-dyn8:latestThis will download all the objects for the latest tag of datos-gov-co/esquema-de-publicacin-de-informacin-de-la-ese-dvgz-dyn8 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/esquema-de-publicacin-de-informacin-de-la-ese-dvgz-dyn8: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/esquema-de-publicacin-de-informacin-de-la-ese-dvgz-dyn8: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/esquema-de-publicacin-de-informacin-de-la-ese-dvgz-dyn8 is just another Postgres schema.