bts-gov/transportation-services-index-and-bw6n-ddqk
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Query the Data Delivery Network

Query the DDN

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 transportation_services_index_and table in this repository, by referencing it like:

"bts-gov/transportation-services-index-and-bw6n-ddqk:latest"."transportation_services_index_and"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "idx_transit_d11",
    "idx_rail_frt_carloads",
    "waterborne_d11", -- Seasonally-Adjusted Tonnage for Internal U.S. Waterways (Millions Of Short Tons)
    "transit", -- Public Transit Ridership (Thousands Of Unlinked Trips)
    "air_rpm_tsi_d11", -- Seasonally-Adjusted Air Revenue Passenger Miles (RPMs) (Thousands)
    "air_rpm_tsi", -- Air Revenue Passenger Miles (RPMs) (Thousands)
    "enplane", -- Enplanements for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (Thousands)
    "load_factor", -- Load Factor for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (Thousands)
    "rpm_d11", -- Seasonally-Adjusted Revenue Passenger Miles (RPMs) for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (Thousands)
    "asm_d_d11", -- Seasonally-Adjusted Available Seat Miles (ASMs) for U.S. Air Carrier Domestic, Scheduled Passenger Flights (Thousands)
    "asm_d11", -- Seasonally-Adjusted Available Seat Miles (ASMs) for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (Thousands)
    "rail_frt_intermodal", -- Rail Freight Intermodal Traffic
    "id", -- Unique row identifier
    "petroleum", -- Pipeline Movement (Thousands Of Barrels)
    "enplane_i", -- Enplanements for U.S. Air Carrier International, Scheduled Passenger Flights (Thousands)
    "obs_date", -- Observation Date ( Month and Year)
    "idx_waterborne_d11",
    "idx_petroleum_d11",
    "idx_air_rpm",
    "tsi_passenger", -- The Transportation Services Passenger Index is a weighted average of monthly data for passenger aviation, transit, and passenger rail.
    "tsi_freight_c", -- The monthly change in value of  the Transportation Services Freight Index. 
    "vmt_d11", -- Seasonally-Adjusted Vehicle Miles Traveled (VMT)
    "truck_d11", -- Seasonally-Adjusted Truck Tonnage (Truck Tonnage Index)
    "waterborne", -- Tonnage for Internal U.S. Waterways (Millions Of Short Tons)
    "natural_gas_d11", -- Seasonally-Adjusted Natural Gas Consumption (Billion Cubic Feet)
    "petroleum_d11", -- Seasonally-Adjusted Pipeline Movement (Thousands Of Barrels)
    "rail_pm", -- Rail Passenger Miles
    "enplane_d11", -- Seasonally-Adjusted Enplanements for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (Thousands)
    "enplane_d", -- Enplanements for U.S. Air Carrier Domestic, Scheduled Passenger Flights (Thousands)
    "enplane_i_d11", -- Seasonally-Adjusted Enplanements for U.S. Air Carrier International, Scheduled Passenger Flights (Thousands)
    "load_factor_i_d11", -- Seasonally-Adjusted Load Factor for U.S. Air Carrier International, Scheduled Passenger Flights (Percent)
    "rpm_i", -- Revenue Passenger Miles (RPMs) for U.S. Air Carrier International, Scheduled Passenger Flights (Thousands)
    "asm_i_d11", -- Seasonally-Adjusted Available Seat Miles (ASMs) for U.S. Air Carrier International, Scheduled Passenger Flights (Thousands)
    "asm_i", -- Available Seat Miles (ASMs) for U.S. Air Carrier International, Scheduled Passenger Flights (Thousands)
    "asm", -- Available Seat Miles (ASMs) for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (Thousands)
    "ind_pro",
    "load_factor_d", -- Load Factor for U.S. Air Carrier Domestic, Scheduled Passenger Flights (Percent)
    "rpm_d_d11", -- Seasonally-Adjusted Revenue Passenger Miles (RPMs) for U.S. Air Carrier Domestic, Scheduled Passenger Flights (Thousands)
    "idx_truck_d11",
    "idx_natural_gas_d11",
    "tsi_total", -- The Transportation Services Combined Index is a weighted average of monthly data for passenger (passenger aviation, transit, and) passenger rail and freight (trucking, freight rail, waterborne, pipeline, and air freight) transportation modes.
    "vmt", -- Vehicle Miles Traveled (VMT)
    "transit_d11", -- Seasonally-Adjusted Public Transit Ridership (Thousands Of Unlinked Trips)
    "rail_frt_intermodal_d11", -- Seasonally-Adjusted Rail Freight Intermodal Traffic
    "air_rtmfm", -- Air Revenue Ton Miles Of Freight And Mail (RTMFM) (Ton Miles)
    "enplane_d_d11", -- Seasonally-Adjusted Enplanements for U.S. Air Carrier Domestic, Scheduled Passenger Flights (Thousands)
    "rpm_d", -- Revenue Passenger Miles (RPMs) for U.S. Air Carrier Domestic, Scheduled Passenger Flights (Thousands)
    "rpm", -- Revenue Passenger Miles (RPMs) for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (Thousands)
    "idx_air_rtmfm",
    "rail_frt_carloads_d11", -- Seasonally-Adjusted Rail Freight Carloads
    "load_factor_i", -- Load Factor for U.S. Air Carrier International, Scheduled Passenger Flights (Percent)
    "inv_to_sales",
    "manuf",
    "tsi_total_c", -- The monthly change in value of  the Transportation Services Combined Index.
    "rail_frt_carloads", -- Rail Freight Carloads
    "air_rtmfm_d11", -- Seasonally-Adjusted Air Revenue Ton Miles Of Freight And Mail (RTMFM) (Ton Miles)
    "asm_d", -- Available Seat Miles (ASMs) for U.S. Air Carrier Domestic, Scheduled Passenger Flights (Thousands)
    "rail_pm_d11", -- Seasonally-Adjusted Rail Passenger Miles
    "load_factor_d11", -- Seasonally-Adjusted Load Factor for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (Thousands)
    "tsi_passenger_c", -- The monthly change in value of  the Transportation Services Passenger Index.
    "tsi_freight", -- The Transportation Services Freight Index is a weighted average of monthly data for trucking, freight rail, waterborne, pipeline, and air freight. 
    "natural_gas", -- Natural Gas Consumption (Billion Cubic Feet)
    "load_factor_d_d11", -- Seasonally-Adjusted Load Factor for U.S. Air Carrier Domestic, Scheduled Passenger Flights (Percent)
    "rpm_i_d11", -- Seasonally-Adjusted Revenue Passenger Miles (RPMs) for U.S. Air Carrier International, Scheduled Passenger Flights (Thousands)
    "idx_rail_pm",
    "idx_rail_frt_intermodal"
FROM
    "bts-gov/transportation-services-index-and-bw6n-ddqk:latest"."transportation_services_index_and"
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/transportation-services-index-and-bw6n-ddqk with SQL in under 60 seconds.

This repository is an "external" repository. That means it's hosted elsewhere, in this case at data.bts.gov. When you querybts-gov/transportation-services-index-and-bw6n-ddqk: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

Install Splitgraph Locally
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 (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.bts.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 \
  "bts-gov/transportation-services-index-and-bw6n-ddqk" \
  --handler-options '{
    "domain": "data.bts.gov",
    "tables": {
        "transportation_services_index_and": "bw6n-ddqk"
    }
}'

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, bts-gov/transportation-services-index-and-bw6n-ddqk is just another Postgres schema.