edmonton-ca/2012-budget-consultation-survey-city-goals-and-x2gc-xf9e
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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 2012_budget_consultation_survey_city_goals_and table in this repository, by referencing it like:

"edmonton-ca/2012-budget-consultation-survey-city-goals-and-x2gc-xf9e:latest"."2012_budget_consultation_survey_city_goals_and"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "b7g", -- Good Governance
    "b7e", -- Shift Edmonton’s Transportation Modes
    "b7d", -- Preserve and Sustain Edmonton’s Environment
    "b7a", -- Diversify Edmonton's Economy
    "b6_thecityattractstalentandinvestmentmakingitnationallyandinter", -- 19.	The City attracts talent and investment making it nationally and internationally competitive
    "b6_thecorporationsupportsacompetitivebusinessclimateanddelivers", -- 16.	The Corporation supports a competitive business climate and delivers business friendly services
    "b6_edmontonhassustainableinfrastructurethatfostersandsupportsci", -- 9.	Edmonton has sustainable infrastructure that fosters and supports civic and community needs
    "civic_ward", -- City ward respondent lives in. Note: 99 - does not apply
    "panelistidquestion", -- Survey ID
    "b7b", -- Ensure Edmonton’s Financial Sustainability
    "b6_thetransportationsystemisintegratedsafeandgivescitizenchoice", -- 12.	The transportation system is integrated, safe and gives citizen choice to their mode of movement
    "b6_safeandcleancity", -- 7.	Safe and clean city
    "b6_completecollaborativecommunitiesthatareaccessiblestrongandin", -- 6.	Complete collaborative communities that are accessible, strong, and inclusive with access to a full range of services
    "b6_citizensusecityinfrastructureandparticipateinservicesandprog", -- 5.	Citizens use city infrastructure and participate in services and programs that provide enjoyment and personal health benefits
    "b6_partnershipswithcitizenscommunitiesandorganizationsarelevera", -- 1.	Partnerships with citizens, communities and organizations are leveraged to improve Edmonton’s environmental health
    "b11", -- Total annual household income -  1. Less than $25,000		 2. $25,000 to $50,000		 3. $51,000 to $75,000	 4. $76,000 to $99,000		 5. $100,000 or more		 6. Prefer not to say 
    "d3", -- Area of City of Edmonton respondent lives in -  Postal Code
    "d1", -- Gender -   1. Male 2. Female
    "d2", -- Age Group -   1. Under 18 2. 18-34 3. 35-44 4. 45-60 5. 60+ 
    "b6_theimpactofcityoperationsonairlandandwatersystemsisminimized", -- 2.	The impact of City operations on air, land, and water systems is minimized
    "b6_thecityofedmontondeliversvaluedqualitycosteffectiveservicest", -- 21.	The City of Edmonton delivers valued, quality, cost-effective services to its citizens
    "b6_citizensusepublictransitandactivemodesoftransportation", -- 10.	Citizens use public transit and active modes of transportation
    "b6_thecityhaswellmanagedandsustainableassetsandservices", -- 13.	The City has well managed and sustainable assets and services
    "b6_diverseengagedandinnovativeemployeesinvolvedinservicedeliver", -- 22.	Diverse, engaged and innovative employees involved in service delivery contribute to achieving the City’s vision, goals and outcomes
    "b6_goodsandservicesmoveefficientlythroughthecity", -- 11.	Goods and Services move efficiently through the city
    "b7c", -- Improve Edmonton’s Livability 
    "b6_thecityfacilitatesthedevelopmentofestablishedbusinessesandse", -- 17.	The City facilitates the development of established businesses and sectors
    "b6_thecitysupportsthedevelopmentofhighpotentialsectors", -- 18.	The City supports the development of high potential sectors
    "b7_none_nonecometomind", -- None come to mind 
    "b6_thecityofedmontonembracesitsrelationshipswithpeopleandpartne", -- 23.	The City of Edmonton embraces its relationships with people and partners to deliver services to its citizens
    "b6_noneoftheabove", -- None of the above
    "b6_thecityisaneffectiveparticipantinregionalpartnershipsandcoll", -- 20.	The City is an effective participant in regional partnerships and collaboration 
    "b7f", -- Transform Edmonton’s Urban Form
    "b6_thecityhasbalancedrevenuestreamsthataresustainable", -- 15.	The City has balanced revenue streams that are sustainable
    "b6_thecityhasaresilientfinancialposition", -- 14.	The City has a resilient financial position
    "b6_citizensareconnectedtotheirdiversecommunitiesandhaveprideint", -- 4.	Citizens are connected to their diverse communities and have pride in their city
    "b6_edmontonstrivestobealeaderinenvironmentaladvocacystewardship", -- 3.	Edmonton strives to be a leader in environmental advocacy, stewardship, preservation and conservation
    "b6_attractiveandcompactphysicaldesignwithdiverseneighbourhoodsa" -- 8.	Attractive and compact physical design with diverse neighbourhoods, amenities and public open spaces
FROM
    "edmonton-ca/2012-budget-consultation-survey-city-goals-and-x2gc-xf9e:latest"."2012_budget_consultation_survey_city_goals_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 edmonton-ca/2012-budget-consultation-survey-city-goals-and-x2gc-xf9e with SQL in under 60 seconds.

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, 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 edmonton-ca/2012-budget-consultation-survey-city-goals-and-x2gc-xf9e: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 edmonton-ca/2012-budget-consultation-survey-city-goals-and-x2gc-xf9e

Checkout 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 edmonton-ca/2012-budget-consultation-survey-city-goals-and-x2gc-xf9e:latest

This will download all the objects for the latest tag of edmonton-ca/2012-budget-consultation-survey-city-goals-and-x2gc-xf9e 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 edmonton-ca/2012-budget-consultation-survey-city-goals-and-x2gc-xf9e: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 edmonton-ca/2012-budget-consultation-survey-city-goals-and-x2gc-xf9e:latest

This 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, edmonton-ca/2012-budget-consultation-survey-city-goals-and-x2gc-xf9e is just another Postgres schema.

Related Documentation:

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