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 alert_montgomery_statistics table in this repository, by referencing it like:

"montgomerycountymd-gov/alert-montgomery-statistics-encb-ivkj:latest"."alert_montgomery_statistics"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "monthly_percent_change_of_contacts", -- The percent increase or decrease in registered contacts over the course of the reporting month. 
    "contacts_at_month_s_end", -- The number of contacts that are registered in Alert Montgomery at 11:59 pm on the last day or the reporting month. 
    "contacts_at_month_s_start", -- The number of contacts that are registered in Alert Montgomery at midnight on the first of the reporting month. 
    "average_contacts_per_notification", -- The average number of contacts per notification which is derived in Excel by dividing Contacts Notified Column by Number of Notifications Column. 
    "contacts_notified", -- The summation of the number of contacts that are in each notification detailed in Columns Traffic/Mass Transit, Weather, Public Health, Geographic, IPAWS / WEA, Government/School, and Other. 
    "other", -- The total number of notifications that are sent to all other subscribers.  This includes, but is not limited to:  Rec Alerts, All Contact Alerts, Gilchrist Center and District Police Notifications. 
    "government_school", -- The total number of notifications that are sent to any of the Government or School subscribers.  This does include Circuit Court subscribers. 
    "weather", -- The total number of notifications that are sent to any weather subscriber 
    "traffic_mass_transit", -- The total number of notifications that are sent to the Severe Traffic or Mass Transit subscribers. 
    "month_year", -- The reporting month/Year.  EX: 01/2018 
    "number_of_notifications", -- The summation of values from columns Traffic/Mass Transit, Weather, Public Health, Geographic, IPAWS / WEA, Government/School, and Other. 
    "geographic", -- The total number of notifications that are sent using a geographic boundary. EX: 3/4 miles radius from a given address for a gas leak. 
    "public_health", -- The total number of notifications that are sent to Public Health Alert subscribers. 
    "ipaws_wea" -- The total number of public facing Integrated Public Alert and Warning System or Wireless Emergency Alert (IPAWS/ WEA) notifications that are disseminated to the public.  This includes any public facing tests. 
FROM
    "montgomerycountymd-gov/alert-montgomery-statistics-encb-ivkj:latest"."alert_montgomery_statistics"
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 montgomerycountymd-gov/alert-montgomery-statistics-encb-ivkj with SQL in under 60 seconds.

This repository is an "external" repository. That means it's hosted elsewhere, in this case at data.montgomerycountymd.gov. When you querymontgomerycountymd-gov/alert-montgomery-statistics-encb-ivkj: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.montgomerycountymd.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 \
  "montgomerycountymd-gov/alert-montgomery-statistics-encb-ivkj" \
  --handler-options '{
    "domain": "data.montgomerycountymd.gov",
    "tables": {
        "alert_montgomery_statistics": "encb-ivkj"
    }
}'

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, montgomerycountymd-gov/alert-montgomery-statistics-encb-ivkj is just another Postgres schema.