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 njsp_traffic_stop_data_2009 table in this repository, by referencing it like:

"nj-gov/njsp-traffic-stop-data-2009-m3fh-4zv4:latest"."njsp_traffic_stop_data_2009"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "month", -- Month when the stop occurred
    "useofforce", -- Whether the stop included a use of force
    "arrest", -- Whether the stop included an arrest
    "totalpersonsinteractedwith", -- Total number of persons the trooper interacted with
    "totalpossession", -- Total number of persons charged with a possession of CDS charge
    "totalweapons", -- Total number of persons charged with a weapons related charge
    "k9", -- Whether the stop included a K-9 deployment
    "movingsummons", -- Whether the stop resulted in a moving summons
    "totalparaphrenalia", -- Total number of persons charged with a paraphernalia charge
    "id", -- Unique ID for each stop
    "troopname", -- Name of the Troop where the stop occurred
    "totaldwi", -- Total number of persons charged with DWI
    "exit", -- Whether the stop included a driver or passenger vehicle exit
    "consentrequest", -- Whether the stop included a request for consent to search
    "totalarrestedcharged", -- Total number of persons arrested and charged with a specific statue or crime
    "personsearch", -- Whether the stop included a search of a person
    "reportingperiod", -- OLEPS reporting period 
    "totalpersonsarrested", -- Total number of persons arrested
    "driverrace", -- Driver Race
    "totalwantedpersons", -- Total number of persons identified as a wanted person, having a charge of 2C: 29-9
    "statutename", -- Name of the statute listed as the reason for the stop
    "statutenumber", -- Statute listed as the reason of the stop
    "totalsummons", -- Total number of summonses
    "stationname", -- Name of the Station where the stop occurred
    "totalobstruction", -- Total number of persons charged with Obstruction
    "evidenceseizure", -- Whether the stop included an evidence seizure
    "nonmovingsummons", -- Whether the stop resulted in a non-moving summons
    "vehiclesearch", -- Whether the stop included a search of a vehicle
    "nonmovingwarning", -- Whether the stop resulted in a non-moving warning
    "movingflag", -- Whether the reason statute is a moving violation
    "year", -- Year when the stop occurred
    "totalarrestednotcharged", -- Total number of persons arrested, but not charged with a specific statute or crime
    "totalothercharges", -- Total number of persons charged with a charge other than those specified
    "movingwarning", -- Whether the stop resulted in a moving warning
    "totalwarnings", -- Total number of warnings
    "stopoutcome", -- Coded Outcome of the stop
    "poststopinteraction", -- Whether the stop included any post-stop interaction or activity
    "frisk" -- Whether the stop included a frisk
FROM
    "nj-gov/njsp-traffic-stop-data-2009-m3fh-4zv4:latest"."njsp_traffic_stop_data_2009"
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 nj-gov/njsp-traffic-stop-data-2009-m3fh-4zv4 with SQL in under 60 seconds.

This repository is an "external" repository. That means it's hosted elsewhere, in this case at data.nj.gov. When you querynj-gov/njsp-traffic-stop-data-2009-m3fh-4zv4: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.nj.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 \
  "nj-gov/njsp-traffic-stop-data-2009-m3fh-4zv4" \
  --handler-options '{
    "domain": "data.nj.gov",
    "tables": {
        "njsp_traffic_stop_data_2009": "m3fh-4zv4"
    }
}'

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, nj-gov/njsp-traffic-stop-data-2009-m3fh-4zv4 is just another Postgres schema.