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 world_bank_program_budget_and_all_funds table in this repository, by referencing it like:
"finances-worldbank/world-bank-program-budget-and-all-funds-9g9y-b7rs:latest"."world_bank_program_budget_and_all_funds"or in a full query, like:
SELECT
":id", -- Socrata column ID
"notes", -- Footnotes or additional clarifications for a specific line item.
"all_funds", -- Represents the sum of Bank Budget (BB), Trust Funds, and Reimbursable Funds. Trust Funds are a financing arrangement set up with contributions from one or more donors and in some cases, from the World Bank Group to support development-related activities. Reimbursable Funds represent revenues generated by the World Bank (WB) when costs incurred by the WB are reimbursed by clients, donors, or others for operational and administrative services provided to clients and/or for sharing administrative costs based on negotiated cost-sharing arrangements.
"work_program", -- Represents the Bank’s units at an aggregate level clustered by major business processes, including: (i) The Country Engagement (CE) envelope: This includes funding for preparation and supervision work with respect to financial services (such as lending, grants and guarantees), knowledge services (advisory, technical assistance, economic and sector work) and convening services (country strategy and partner coordination/mobilization). (ii) The Global Engagement (GE) envelope: This includes funding for global engagement activities, without a specific country identification, including work on global public goods, global knowledge services, global convening services, and global programs administrative services. (iii) Program and Practice Management (PPM): This envelope funds the cost of running the operational work program, and includes funding for management, administrative support services, space and IT costs, extended assignment benefits plus knowledge management, innovation and staff training/learning. (iv) Institutional, Governance and Administration (IG&A): This envelope funds the cost of running the institutional, governance and administrative services that support operational delivery. Total unit trajectories are the sum of operational and IG&A unit trajectories.
"fiscal_year", -- Identifies the World Bank Group fiscal year, which is July 1 - June 30 (e.g., fiscal year 2009 represents July 1, 2008 to June 30, 2009).
"bank_budget", -- Represents the World Bank's administrative expenses funded from IBRD and IDA revenue and is approved annually by the Board of Executive Directors.
"unit", -- Represents individual vice presidential units or organizational units that are responsible for undertaking operational activities, and providing institutional, governance and administrative services under the leadership and direction of the senior management team.
"work_program_group" -- Presents the World Bank’s units at an aggregate level clustered by major work programs, including: (i) Client Engagement (i.e., grouping of Country Engagement and Global Engagement); (ii) Program and Practice Management; (iii) Operational Grant Making Facilities; (iv) Institutional, Governance and Administrative services; (v) Centrally Managed Accounts; and (vi) External Funds.
FROM
"finances-worldbank/world-bank-program-budget-and-all-funds-9g9y-b7rs:latest"."world_bank_program_budget_and_all_funds"
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 finances-worldbank/world-bank-program-budget-and-all-funds-9g9y-b7rs 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 finances-worldbank/world-bank-program-budget-and-all-funds-9g9y-b7rs: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 finances-worldbank/world-bank-program-budget-and-all-funds-9g9y-b7rsCheckout 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 finances-worldbank/world-bank-program-budget-and-all-funds-9g9y-b7rs:latestThis will download all the objects for the latest tag of finances-worldbank/world-bank-program-budget-and-all-funds-9g9y-b7rs 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 finances-worldbank/world-bank-program-budget-and-all-funds-9g9y-b7rs: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 finances-worldbank/world-bank-program-budget-and-all-funds-9g9y-b7rs: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, finances-worldbank/world-bank-program-budget-and-all-funds-9g9y-b7rs is just another Postgres schema.