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 governors_executive_budget_program_measures_sfy table in this repository, by referencing it like:
"pa-gov/governors-executive-budget-program-measures-sfy-wade-6x6s:latest"."governors_executive_budget_program_measures_sfy"or in a full query, like:
SELECT
":id", -- Socrata column ID
"number_of_best_management", -- Number of Best Management Practices implemented as a result of the Resource Enhancement and Protection program (REAP) and the Conservation Excellence Grant Program (CEG).
"percentage_of_dogs_licensed", -- Percentage of dogs licensed compared to the estimated total dog population in Pennsylvania.
"dollar_value_of_women_infants", -- Dollar value of Women, Infants and Children (WIC) Farmers Market Nutrition Program vouchers redeemed.
"dollar_value_of_senior_farmers", -- Dollar value of Senior Farmers Market Nutrition Program vouchers redeemed.
"annual_percentage_completion", -- Annual percentage completion of required regulatory inspections conducted by the Bureau of Animal Health and Diagnostic Services.
"number_of_training_hours", -- Number of training hours provided to accredited agricultural consultants, agricultural support service personnel and municipal staff.
"dollar_value_of_the_economic", -- Dollar value of the economic impact of the Pennsylvania Farm Show Complex & Expo Center
"percent_increase_in_the_number", -- Percent increase in the number of certified or transitioning to certified organic operations.
"percent_increase_in_the_number_1", -- Percent increase in the number of people participating as gardeners and/or volunteers in the funded programs.
"percent_increase_in_the_number_3", -- Percent increase in the number of members of the Farmer Veterans Coalition Homegrown By Heroes Program who become members of the PA Preferred® Homegrown By Heroes Program as a result of targeted outreach.
"fiscal_year", -- Fiscal year for which the program measure values in this row are applicable. Fiscal Years 2020-21 and 2021-22 are estimated amounts based on agency projections.
"number_of_retail_food_facility", -- Number of retail food facility inspections conducted annually to prevent foodborne illnesses.
"budget_book_budget_year", -- This is the State Fiscal Year when the program measure numbers in this row were submitted for the Governor's Executive Budget Book.
"number_of_permits_issued", -- Number of permits issued to persons wishing to grow hemp.
"pounds_of_food_distributed", -- Pounds of food distributed annually through the Pennsylvania Agriculture Surplus System.
"percentage_of_weighing_and", -- Percentage of weighing and measuring devices inspected within their approved time interval.
"number_of_preserved_farms", -- Number of newly preserved farms with a transition, succession or business plan.
"percent_increase_in_the_number_2", -- Percent increase in the number of youths benefitting from an Ag and Youth Development grant-funded educational opportunity.
"number_of_youth_events_held", -- Number of youth events held at the Pennsylvania Farm Show Complex & Expo Center annually.
"number_of_producers_from", -- Number of producers from whom product is sourced annually for the Pennsylvania Agriculture Surplus System.
"number_of_tests_conducted", -- Number of tests conducted by the Pennsylvania Animal Diagnostic Lab System (PADLS) to support access to markets (domestic and international).
"annual_number_of_farm_acres", -- Annual number of farm acres protected through meeting the goal of preserving 200 or more farms each year.
"number_of_retail_food_safety", -- Number of retail food facility, wholesale, manufactured food, and dairy facility inspections conducted per food inspector.
"dollar_value_of_pennsylvania", -- Dollar value of Pennsylvania food and agricultural exports, excluding hardwoods, due to growth in the department’s international trade related activities.
"percentage_of_plant_industry", -- Percentage of plant industry businesses (excluding apiary) licensed in compliance with the Spotted Lanternfly Quarantine Order through execution and receipt of a quarantine zone travel compliance permit.
"number_of_trained_and", -- Number of trained and accredited agricultural consultants, agricultural support service personnel and municipal staff.
"number_of_farm_acres_covered", -- Number of farm acres covered by approved Nutrient Management Plans.
"number_of_weights_and_measures" -- Number of weights and measures device and system inspections.
FROM
"pa-gov/governors-executive-budget-program-measures-sfy-wade-6x6s:latest"."governors_executive_budget_program_measures_sfy"
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 pa-gov/governors-executive-budget-program-measures-sfy-wade-6x6s 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 pa-gov/governors-executive-budget-program-measures-sfy-wade-6x6s: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 pa-gov/governors-executive-budget-program-measures-sfy-wade-6x6sCheckout 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 pa-gov/governors-executive-budget-program-measures-sfy-wade-6x6s:latestThis will download all the objects for the latest tag of pa-gov/governors-executive-budget-program-measures-sfy-wade-6x6s 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 pa-gov/governors-executive-budget-program-measures-sfy-wade-6x6s: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 pa-gov/governors-executive-budget-program-measures-sfy-wade-6x6s: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, pa-gov/governors-executive-budget-program-measures-sfy-wade-6x6s is just another Postgres schema.