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 advanced_messaging_concept_development_basic table in this repository, by referencing it like:
"datahub-transportation-gov/advanced-messaging-concept-development-basic-wqch-9e2e:latest"."advanced_messaging_concept_development_basic"or in a full query, like:
SELECT
":id", -- Socrata column ID
"event_triggering", -- The requested event trigger type. Bit0 = Unused Bit1 = Unused Bit2 = ABS Activated Bit3 = Traction Control Loss Bit4 = Stability Control Activated Bit5 = Unused Bit6 = Unused Bit7 = Hard Braking Bit8 = Lights Changed Bit9 = Wipers Changed Bit10 = Unused Bit11 = Unused Bit12 = Unused Bit13 = Unused Bit14 = Unused Bit15 = Unused
"time_received", -- The time at which the message was received by the OBU in milliseconds UTC time. Empty
"test_no", -- The AMCD test number the data was collected during
"triggering_status", -- The status of the requested triggering control parameter. 0 = None 1 = Start Only 2 = Stop Only 3 = Start and Stop
"triggering_latitude", -- The latitude of the center of the triggering geo area in degrees.
"periodic_triggering", -- The requested rate of trigger evaluation frequency. 0 = 0 sec (off) 1 = 300 sec 2 = 120 sec 3 = 90 sec 4 = 60 sec 5 = 30 sec 6 = 15 sec 10 = 1 sec (1Hz) 11 = 0.5 sec (2Hz) 12 = 0.2 sec (5Hz) 13 = 0.1 sec (10Hz) 14 = 0.01 sec (100Hz)
"message_id", -- : BMMs are sent from the OBU packed into a container message that can contain up to four separate data snapshots. This is the ID of the container message that contained the BMM as it was transmitted to the server.
"time_sent", -- The time at which the message was sent from the VCC Cloud server to the OBU in milliseconds UTC time.
"obu_id", -- The ID of the OBU that received the message for the current communication sequence.
"requested_bmm_data", -- The status of all possible BMM data element request flags. This data item is a 24-bit field where, if a bit is set equal to one, the data element will be returned in BMMs generated by the receiving OBE. Bit0 = Lights Status Bit1 = Unused Bit2 = Wiper Status Bit3 = Braking System, Traction Control System, and Stability Control System Status Bit4 = Unused Bit5 = Unused Bit6 = Unused Bit7 = Precipitation Sensor Status Bit8 = Ambient Air Temperature Bit9 = Atmospheric Pressure Bit10 = Unused Bit11 = Unused Bit12 = Unused Bit13 = Unused Bit14 = Unused Bit15 = Unused Bit16 = Unused Bit17 = Unused Bit18 = Unused Bit19 = Unused Bit20 = Unused Bit21 = Unused Bit22 = Unused Bit23 = Unused
"bmcm_timeout", -- The number of seconds the BMCM request shall remain active.
"triggering_longitude", -- The longitude of the center of the triggering geo area in degrees.
"requested_transmission_mode", -- The type of data transmission mode requested. 0 = None 1 = DSRC 2 = Cellular 3 = DSRC and Cellular
"bmm_pack", -- The number of BMMs per packet (valid values are 1–4).
"triggering_range", -- The range from the center (radius) of the trigger geo area in which the trigger will fire in centimeters.
"mode_of_transmission" -- An indication of which mode of transmission was used to transmit the message (DSRC or Cellular). If received via DSRC: 1 through 114 = The ID of the RSU used to forward the message to the server If received via cellular: 999999 = Cellular
FROM
"datahub-transportation-gov/advanced-messaging-concept-development-basic-wqch-9e2e:latest"."advanced_messaging_concept_development_basic"
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/advanced-messaging-concept-development-basic-wqch-9e2e 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/advanced-messaging-concept-development-basic-wqch-9e2e: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/advanced-messaging-concept-development-basic-wqch-9e2eCheckout 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/advanced-messaging-concept-development-basic-wqch-9e2e:latestThis will download all the objects for the latest tag of datahub-transportation-gov/advanced-messaging-concept-development-basic-wqch-9e2e 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/advanced-messaging-concept-development-basic-wqch-9e2e: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/advanced-messaging-concept-development-basic-wqch-9e2e: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/advanced-messaging-concept-development-basic-wqch-9e2e is just another Postgres schema.