Query the Data Delivery Network
Query the DDNThe 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 docked_bikeshare_ridership table in this repository, by referencing it like:
"bts-gov/docked-bikeshare-ridership-6cfa-ipzd:latest"."docked_bikeshare_ridership"or in a full query, like:
SELECT
":id", -- Socrata column ID
"total_trips_2019", -- Total trips for sysid for same assigned month in 2019 (sum level = 1), same month and day in 2019 (sum level = 2), or same assigned month and hour in 2019 (sum level = 3)
"total_trips", -- Total trips for sysid for year and assigned_month (sum level = 1), calendar date (sum level = 2), or year, assigned month, and hour (sum level = 3)
"avg_min", -- Average trip time (minutes) for trips greater than or equal to 1 minute and less than or equal to 2 hours.
"hour", -- Hour trip ended in military time (null if sum level not equal to 3)
"num_trip", -- number of trips
"sum_min", -- trip time (minutes)
"num_trips_2019", -- Number of trips for sysid, membership, wkend, and sf_trip for year and assigned_month (sum level = 1), calendar date (sum level = 2), or year, assigned month, and hour (sum level = 3)
"pct_change", -- Percent change in total trips for system and month from same month in 2019 (summed across membership, weekend, and dock type)
"sysname_alt", -- Area served by system
"year", -- Year
"sum_level", -- 1=number of trips for month;;2=number of trips ending on date indicated by yr_mo_d; 3=number of trips for month and hour
"docked", -- 1=trip starting and ending at a docking station; 2=trip starting or ending outside of a docking station (systems that permit these trips); 9999=started and ended outside of docking station
"point_change", -- Percentage point contribution to total percent change for system from 2019 level for same month.
"yr_mo_d", -- Date trip ended
"sysname", -- Name of system
"wkend", -- 1=trip on weekend; 0 = weekday
"assigned_month", -- Month. Months are different from calendar months as the number of days of the week held constant across year
"sf_trip", -- 1=BayWheels trip in San Francisco, CA; 0 = not a BayWheels trip or BayWheels trip occurring outside of San Francisco, CA; 9=BayWheels system total
"membership", -- 1=monthly or annual member; 0=purchased single trip or other kind of pass but not a monthly or annual membership
"sysid" -- System identifier
FROM
"bts-gov/docked-bikeshare-ridership-6cfa-ipzd:latest"."docked_bikeshare_ridership"
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 bts-gov/docked-bikeshare-ridership-6cfa-ipzd with SQL in under 60 seconds.
Query Your Local Engine
bash -c "$(curl -sL https://github.com/splitgraph/splitgraph/releases/latest/download/install.sh)"Read the installation docs.
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, 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 (like this repository), where the author has pushed Splitgraph Images to the repository, you can "clone" and/or "checkout" the data using sgr cloneand sgr checkout.
Cloning Data
Because bts-gov/docked-bikeshare-ridership-6cfa-ipzd:latest is a Splitgraph Image, you can clone the data from Spltgraph Cloud to your local engine, where you can query it like any other Postgres database, using any of your existing tools.
First, install Splitgraph if you haven't already.
Clone the metadata with sgr clone
This will be quick, and does not download the actual data.
sgr clone bts-gov/docked-bikeshare-ridership-6cfa-ipzdCheckout the data
Once you've cloned the data, you need to "checkout" the tag that you want. For example, to checkout the latest tag:
sgr checkout bts-gov/docked-bikeshare-ridership-6cfa-ipzd:latestThis will download all the objects for the latest tag of bts-gov/docked-bikeshare-ridership-6cfa-ipzd and load them into the Splitgraph Engine. Depending on your connection speed and the size of the data, you will need to wait for the checkout to complete. Once it's complete, you will be able to query the data like you would any other Postgres database.
Alternatively, use "layered checkout" to avoid downloading all the data
The data in bts-gov/docked-bikeshare-ridership-6cfa-ipzd:latest is 0 bytes. If this is too big to download all at once, or perhaps you only need to query a subset of it, you can use a layered checkout.:
sgr checkout --layered bts-gov/docked-bikeshare-ridership-6cfa-ipzd:latestThis will not download all the data, but it will create a schema comprised of foreign tables, that you can query as you would any other data. Splitgraph will lazily download the required objects as you query the data. In some cases, this might be faster or more efficient than a regular checkout.
Read the layered querying documentation to learn about when and why you might want to use layered queries.
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, bts-gov/docked-bikeshare-ridership-6cfa-ipzd is just another Postgres schema.