calgary-ca/official-results-general-election-2013-ibk8-8j45
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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 official_results_general_election_2013 table in this repository, by referencing it like:

"calgary-ca/official-results-general-election-2013-ibk8-8j45:latest"."official_results_general_election_2013"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "percentage_of_votes", -- Of the votes cast this shows the percentage cast for the candidate.
    "candidate_name",
    "incumbent", -- The candidate is the incumbent in the position.
    "ward", -- A ward of zero denotes the city wide ward. Regular wards are 1-14. Public and Separate School wards are 1-7 and are in format like 1(1,2).
    "time", -- Timestamp for these results
    "leading_by", -- The amount the leading candidate is leading by. Only the highest candidate has leading by value. All other candidates will have blank value.
    "acclaimed", -- The candidate was acclaimed to the position.
    "office",
    "ward_stations_reporting", -- Number of ward stations that have reported the results.
    "total_votes", -- Total votes cast for the candidate
    "total_city_wide_stations", -- Number of total city wide stations includes Hospital, Mail-in (Special) Ballot, Travelling and Advance Voting stations.
    "city_wide_stations_reporting", -- Number of city wide stations that have reported the results.
    "office_type", -- Mayor = 1. Councillor = 2. Public School Trustees = 3. Separate School Trustees = 4.
    "total_ward_stations" -- 1.	The number of voting stations listed in the Mayor results is the number of regular and special voting stations in that council ward.  2.	The number of voting stations listed in the Councillor results is the number of regular and special voting stations in that council ward.  3.	The number of voting stations listed in the results for Public School Trustees includes the number of regular and special voting stations for the applicable council wards.  4.	The number of voting stations listed in the results for Separate School Trustees includes the number of regular and special voting stations for the applicable council wards plus any voting stations in districts outside of Calgary governed by the Separate School Board.
FROM
    "calgary-ca/official-results-general-election-2013-ibk8-8j45:latest"."official_results_general_election_2013"
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 calgary-ca/official-results-general-election-2013-ibk8-8j45 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 calgary-ca/official-results-general-election-2013-ibk8-8j45: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 calgary-ca/official-results-general-election-2013-ibk8-8j45

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 calgary-ca/official-results-general-election-2013-ibk8-8j45:latest

This will download all the objects for the latest tag of calgary-ca/official-results-general-election-2013-ibk8-8j45 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 calgary-ca/official-results-general-election-2013-ibk8-8j45: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 calgary-ca/official-results-general-election-2013-ibk8-8j45: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, calgary-ca/official-results-general-election-2013-ibk8-8j45 is just another Postgres schema.

Related Documentation:

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