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 multimodal_intelligent_traffic_signal_systems table in this repository, by referencing it like:
"datahub-transportation-gov/multimodal-intelligent-traffic-signal-systems-5tsh-j288:latest"."multimodal_intelligent_traffic_signal_systems"or in a full query, like:
SELECT
":id", -- Socrata column ID
"latitude", -- This field contains the current latitude, in degrees, of the vehicle.
"location", -- NA
"longitude", -- This field contains the current longitude, in degrees, of the vehicle.
"source", -- NA
"heading", -- This field contains the vehicle heading/direction, in degrees.
"speed", -- This field contains the vehicle speed in km/hr.
"elev", -- This field contains the current elevation, in feet, of vehicle according to GPS.
"msgid", -- The DSRC Message ID is a data element used in each message to define which type of message follows from the message set defined by this Standard. This data element is always the first value inside the message and is used to tell the receiving application how to interpret the remaining bytes (i.e. what message structure has been used). This value is enumerated and the values and corresponding meaning are as follows: 0 – Reserved, 1 – A La Carte Message (ACM), 2 – Basic Safety Message (BSM – heartbeat message), 3 – Basic Safety Message Verbose (BSM used for testing only), 4 – Common Safety Request (CSR), 5 – Emergency Vehicle Alert (EVA), 6 – Intersection Collision Alert (ICA), 7 – Map Data (MAP, GID, intersections), 8 – nmea Corrections (NMEA), 9 – probe Data Management (PDM), 10 – probe Vehicle Data (PVD), 11 – Roadside Alert (RSA), 12 – rtcm Corrections (RTCM), 13 – Signal Phase And Timing Message (SPAT), 14 – Signal Request Message (SRM), 15 – Signal Status Message (SSM), 16 – Traveler Information (TIM)
"timestamp", -- This field contains the time in deciseconds with an Epoch time format.
"type", -- This field contains the type of the collected data.
"secmark", -- This field SecMark is a simple value consisting of integer values from zero to 59900 representing the milliseconds of a wall clock minute.
"tempid", -- This field contains the ID (number) of the device (or vehicle) that transmits a BSM.
"msgcnt", -- This data element is used to provide a sequence number within a stream of messages from the same sender with the hexadecimal numeral system.
"location_zip",
":@computed_region_28hd_vqqn",
"location_state",
"location_city",
"location_address"
FROM
"datahub-transportation-gov/multimodal-intelligent-traffic-signal-systems-5tsh-j288:latest"."multimodal_intelligent_traffic_signal_systems"
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 datahub-transportation-gov/multimodal-intelligent-traffic-signal-systems-5tsh-j288 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 datahub-transportation-gov/multimodal-intelligent-traffic-signal-systems-5tsh-j288: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 datahub-transportation-gov/multimodal-intelligent-traffic-signal-systems-5tsh-j288Checkout 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 datahub-transportation-gov/multimodal-intelligent-traffic-signal-systems-5tsh-j288:latestThis will download all the objects for the latest tag of datahub-transportation-gov/multimodal-intelligent-traffic-signal-systems-5tsh-j288 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 datahub-transportation-gov/multimodal-intelligent-traffic-signal-systems-5tsh-j288: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 datahub-transportation-gov/multimodal-intelligent-traffic-signal-systems-5tsh-j288: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, datahub-transportation-gov/multimodal-intelligent-traffic-signal-systems-5tsh-j288 is just another Postgres schema.