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 nystar_regional_technology_development_centers table in this repository, by referencing it like:
"ny-gov/nystar-regional-technology-development-centers-eza2-df93:latest"."nystar_regional_technology_development_centers"or in a full query, like:
SELECT
":id", -- Socrata column ID
"information_systems", -- Companies report on investments made in Information Systems as a result of the services provided.
"other_non_specific_areas", -- Companies report on investments made in other areas as a result of the services provided
"jobs_retained", -- Jobs may be at risk because of high operating costs, incentives offered by another location, production contractions, etc.
"name", -- Full name of Regional Technology Development Center
"cost_savings", -- Cost savings that typically realized after services are provided include: labor, materials, energy, overhead, etc.
"region", -- ESD Region
"jobs_created", -- Credited jobs are permanent, full-time positions. Credited job creation is the result of services provided that create new markets, new product line(s), business expansion, etc.
"increased_sales", -- Increased sales are the result of introduction of new products, improved products, new markets, etc. realized through services provided.
"nys_funding", -- NYS provides $3,773,000 in funding for the RTDC program. This funding is allocated in the same manner as the federal funding – through a formula taking into account number of small & medium sized manufacturers in the region, number of employees at these companies and economic impacts – on a three year rolling average.
"abbreviation", -- Name of Center (abbreviated)
"investment_savings", -- Companies report on investments savings or cost avoidance as a result of the services provided
"federal_funding", -- National Iinstiture of Standards and Technology Manufacturing Extension Partnership (NIST MEP) provides $5,468,093 to NYS for the RTDC (NYMEP) program. This funding is allocated to the 10 centers through a formula taking into account number of small & medium sized manufacturers in the region, number of employees at these companies and economic impacts – on a three year rolling average.
"plant_equipment", -- Companies report on investments made in Plant Equipment as a result of the services provided.
"year", -- Year of Data
"workforce_practices", -- Companies report on investments made in Workforce Practices as a result of the services provided
"retained_sales" -- Retained sales realized by services provided. that would are the result of introduction of new products, improved products, new markets, etc.
FROM
"ny-gov/nystar-regional-technology-development-centers-eza2-df93:latest"."nystar_regional_technology_development_centers"
LIMIT 100;Connecting to the DDN is easy. All you need is an existing SQL client that can connect to Postgres. As long as you have a SQL client ready, you'll be able to query ny-gov/nystar-regional-technology-development-centers-eza2-df93 with SQL in under 60 seconds.
Query Your Local Engine
bash -c "$(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 ny-gov/nystar-regional-technology-development-centers-eza2-df93: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 ny-gov/nystar-regional-technology-development-centers-eza2-df93Checkout 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 ny-gov/nystar-regional-technology-development-centers-eza2-df93:latestThis will download all the objects for the latest tag of ny-gov/nystar-regional-technology-development-centers-eza2-df93 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 ny-gov/nystar-regional-technology-development-centers-eza2-df93: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 ny-gov/nystar-regional-technology-development-centers-eza2-df93: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, ny-gov/nystar-regional-technology-development-centers-eza2-df93 is just another Postgres schema.