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 information_technology_project_schedule_and_budget table in this repository, by referencing it like:

"citydata-mesaaz-gov/information-technology-project-schedule-and-budget-24pf-5hpg:latest"."information_technology_project_schedule_and_budget"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "issues_status", -- Ontrack, caution or at risk.    The PM determination of the project’s issue status based on current or potential issues.
    "start_date", -- Date project was initiated 
    "budget_goods_services", -- Projects Budget 
    "schedule_status", -- Ontrack, caution or at risk.    The PM determination of the project’s schedule status based on current issues and risks.
    "rowid", -- Unique Row Identifier
    "project_name", -- Name of the project 
    "project_status", -- Status could be from the initiating (development) phase to underway (implementing) to Live.  Projects in initial phases are not counted in budget and schedule metrics as the data (budget, dates) is being developed. 0= not started   1= In Progress   3= System Live   4= Completed   5= Canceled    9 = On hold  
    "actual_project_go_live", -- The actual date a project goes Live 
    "implementation_status", -- Ontrack, caution or at risk.    The PM determination of the project’s implementation status based on current issues and risks
    "project_description", -- Simple explanation of project objective 
    "budget_status", -- Ontrack, caution or at risk.    The PM determination of the project’s budget status based on current issues and risks.
    "project_manager_contact", -- Name of project manager/contact
    "quarter_start_date", -- The date the reported quarter started  
    "risks_status", -- Ontrack, caution or at risk.    The PM determination of the project’s risk status based on current issues or potential risks.
    "within_budget", -- Project manager reporting on current project spending and whether it is at or under the original budgeted amount 
    "project_current_status", -- Overall Status comments from SharePoint.  PM notes on where the project is currently, usually includes anticipated start date for projects not started. 
    "planned_go_live", -- Estimated date the project will go live  
    "on_schedule", -- Is the schedule variance within 10 percent of zero – the industry standard for acceptable variance from estimated schedule  
    "overall_status" -- Ontrack, caution or at risk.    The PM determination of project status based on current issues and risks -including budget and schedule.
FROM
    "citydata-mesaaz-gov/information-technology-project-schedule-and-budget-24pf-5hpg:latest"."information_technology_project_schedule_and_budget"
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 citydata-mesaaz-gov/information-technology-project-schedule-and-budget-24pf-5hpg with SQL in under 60 seconds.

This repository is an "external" repository. That means it's hosted elsewhere, in this case at citydata.mesaaz.gov. When you querycitydata-mesaaz-gov/information-technology-project-schedule-and-budget-24pf-5hpg: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 citydata.mesaaz.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 \
  "citydata-mesaaz-gov/information-technology-project-schedule-and-budget-24pf-5hpg" \
  --handler-options '{
    "domain": "citydata.mesaaz.gov",
    "tables": {
        "information_technology_project_schedule_and_budget": "24pf-5hpg"
    }
}'

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, citydata-mesaaz-gov/information-technology-project-schedule-and-budget-24pf-5hpg is just another Postgres schema.