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 businesses_registered_with_ebr_parish table in this repository, by referencing it like:

"brla-gov/businesses-registered-with-ebr-parish-xw6s-bcqm:latest"."businesses_registered_with_ebr_parish"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "topendate", -- Date business opened
    "consolidated_filer", -- Indicates whether the business is filing as consolidated (1 = Yes, 0 = No).
    "geolocation_state",
    "taccount", -- Account number of taxpayer
    "tphysicalstate", -- Business physical address state
    "tstatus", -- Status of the business (O - Open or C - Closed)
    "address_id", -- Unique address identification number in the GIS
    "tphysicalcity", -- Business physical address postal city
    "tphysicaladdress1", -- Business physical address first line
    "tmailaddress2", -- Business mailing address second line
    "location", -- Account location description
    "tacctlocation", -- Account location code
    "tlegalname", -- Legal name of business
    "tname", -- Name of the account
    "tphysicaladdress2", -- Business physical address second line
    "geolocation_zip",
    "tmailstate", -- Business mailing address postal state
    "naicname", -- Description of the NAICS code
    "townership", -- Type of business ownership (INC, LLC, NONP, IND, GOVT, etc)
    "typename", -- Account type description
    "tcontactperson", -- Account point of contact
    "geolocation", -- Latitude and Longitude coordinates of the business location
    "tphysicalzipcode5", -- Business physical address ZIP Code
    "tmailaddress1", -- Business mailing address first line
    "geolocation_address",
    "geolocation_city",
    "tmailzipcode5", -- Business mailing address ZIP code
    "tclosedate", -- Date the business closed (only applicable if Business Status = C)
    "tmailcity", -- Business mailing address postal city
    "abcname", -- Alcohol Beverage Control (ABC) status description
    ":@computed_region_jrqt_zu77",
    ":@computed_region_uvg4_nwq8",
    ":@computed_region_i2e6_956r",
    ":@computed_region_8siy_mghw",
    ":@computed_region_idcr_7zcb",
    ":@computed_region_8tu6_j4iw",
    "tabc", -- Alcohol Beverage Control (ABC) status code
    "tfilingstatus", -- Indicates how frequently a taxpayer must file returns with the City-Parish Department of Finance (Q = Quarterly, X = Occasional, A = Annual, H = Hotel/Motel Only, M = Monthly, O = One Time Only, L = License Only)
    "taccttype", -- Code used for the account type
    "naicgroupname", -- General grouping for the NAICS code
    "tquickopen", -- Indicates whether the business is a home occupation (1 = Yes, 0 = No).
    "tnaic" -- North American Industry Classification System code
FROM
    "brla-gov/businesses-registered-with-ebr-parish-xw6s-bcqm:latest"."businesses_registered_with_ebr_parish"
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 brla-gov/businesses-registered-with-ebr-parish-xw6s-bcqm with SQL in under 60 seconds.

This repository is an "external" repository. That means it's hosted elsewhere, in this case at data.brla.gov. When you querybrla-gov/businesses-registered-with-ebr-parish-xw6s-bcqm: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.brla.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 \
  "brla-gov/businesses-registered-with-ebr-parish-xw6s-bcqm" \
  --handler-options '{
    "domain": "data.brla.gov",
    "tables": {
        "businesses_registered_with_ebr_parish": "xw6s-bcqm"
    }
}'

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, brla-gov/businesses-registered-with-ebr-parish-xw6s-bcqm is just another Postgres schema.