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 educational_program_report_2017_current_education table in this repository, by referencing it like:

"pa-gov/educational-program-report-2017-current-education-izb3-j3ae:latest"."educational_program_report_2017_current_education"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "program_name", -- The name of the Major or Program of study. 
    "school_branch", -- Code for the School Branch supplied by PDE. Usually a 4-digit code commonly called the school code. Could be leading zeroes. The number '0' means the main campus.
    "administrative_unit_number", -- Administrative Unit Number (AUN) - A 9-digit number assigned by the Pennsylvania Department of Education (PDE) to uniquely identify entities such as school districts, intermediate units, career and technical centers, charter schools, non-public and private schools, higher education institutions, state juvenile correctional institutions, dioceses, private residential rehabilitation institutions, private driver training schools, and libraries
    "awards", -- The type of credentialed award the student received upon successful completion within the program of study. 
    "classification_instruction_code", -- The Classification of Instructional Programs (CIP) provides a taxonomic scheme that supports the accurate tracking and reporting of fields of study and program completions activity. CIP was originally developed by the U.S. Department of Education's National Center for Education Statistics (NCES) in 1980, with revisions occurring in 1985, 1990, and 2000. For information about these early revisions to the CIP, click here or access specific links to historical versions from the resources page. For information about versions after CIP 2000, click the 'change year' link on this site to see the available versions.
    "school_year", -- School Year
    "instructiontype" -- The major mode of instruction for this program. 
FROM
    "pa-gov/educational-program-report-2017-current-education-izb3-j3ae:latest"."educational_program_report_2017_current_education"
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/educational-program-report-2017-current-education-izb3-j3ae 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/educational-program-report-2017-current-education-izb3-j3ae: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)"

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/educational-program-report-2017-current-education-izb3-j3ae" \
  --handler-options '{
    "domain": "data.pa.gov",
    "tables": {
        "educational_program_report_2017_current_education": "izb3-j3ae"
    }
}'

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/educational-program-report-2017-current-education-izb3-j3ae is just another Postgres schema.