colorado-gov/census-county-subdivisions-sf1-in-colorado-2000-85u5-cuz2
Icon for Socrata external plugin

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 census_county_subdivisions_sf1_in_colorado_2000 table in this repository, by referencing it like:

"colorado-gov/census-county-subdivisions-sf1-in-colorado-2000-85u5-cuz2:latest"."census_county_subdivisions_sf1_in_colorado_2000"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "v_rs_n_occ", -- The number of vacant, rented, but not occupied housing units
    "pop2000", -- The number of people in the designated area
    "pct_own", -- The percentage of houses that are owned by their occupants in the designated area
    "pct_other", -- The percentage of people self designated as none of the above.
    "pct_male", -- The percentage of people self designated as males
    "pct_hawpi", -- The percentage of people self designated as hawaiian.
    "pct_black", -- The percentage of people self designated as black (not hispanic)
    "owner", -- The number of houses that are owned by their occupants in the designated area
    "oth_family", -- The number of family households designated as not having a husband and wife.
    "mult_nh", -- The number of people self designated as multi-ethnic
    "med_age", -- Median age of the population for the area
    "male", -- Estimate for the total male population
    "husb_wife", -- The number of family households designated as having a husband and wife.
    "hh_w_nonr", -- The number of households with non-relatives living together
    "gq_o_noni", -- The number living in any non-institutional facility not mentioned above
    "gq_inst", -- The number in group quarters living in an institutional facility
    "gq_correc", -- The number in group quarters living in an adult correctional facility
    "gq_college", -- The number living in college housing
    "geoid", -- Comma delimited list (no quotes, leading zeros are necessary) of geoid examples: '08' is Colorado, '08031' is Denver County , '08031000701' is a Census Tract in Denver County, and '080010078011' is a block group in Adams County, and '0668154' is the city of San Luis Obispo, CA. You can also use the integer format for geoid called geonum by prefixing the geoid with ‘1’. San Luis Obispo would then be 10668154.
    "county", -- The FIPS County code that the designated area is in (eg 071).
    "black_nh", -- Estimate for the Black, Non-Hispanic Population
    "awater00", -- The amount of land in the designated area, in ft2.
    "asian_nh", -- Estimate for the Asian, Non-Hispanic Population
    "ageunder18", -- The number of people younger than 18
    "ageunder10", -- The number of people younger than 10
    "other_nh", -- Estimate for the population of those identifying with any other race (Non-Hispanic)
    "v_other", -- The number of vacant housing units that are vacant for any reason not mentioned above
    "v_migrant", -- The number of vacant housing units for migrant workers
    "v_seasonal", -- The number of vacant housing units that are for seasonal use
    "v_forsale", -- The number of vacant housing units for sale in the designated area
    "v_forrent", -- The number of vacant houses for rent in the designated area
    "renter", -- The number of houses that are rented by their occupants in the designated area
    "pct_vac", -- The percentage of houses vacant in the designated area
    "vacant", -- The number of houses vacant in the designated area
    "occupied", -- The number of houses occupied in the designated area
    "housing_un", -- Estimated total number of housing units
    "gq_noninst", -- The number in group quarters living in a non-institutional facility
    "gq_ot_inst", -- The number living in an institutional facility not mentioned above
    "gq_pop", -- The number in group quarters
    "avg_fam", -- The average number of people in a family
    "hh_n_nonr", -- The number of households with no non-relatives living together
    "avg_hh", -- The average number of people in a household
    "non_fam", -- The number of households self designated as not family
    "households", -- Estimate for the total number of household
    "med_female", -- The median age of all self designated females in the designated area
    "pct_u18", -- The percentage of people younger than 18
    "pct_65plus", -- The percentage of people age 65 and older
    "age65plus", -- Estimate for the total population 65 years of age or older
    "pct_fem", -- The percentage of people self designated as females
    "female", -- Estimate for the total female population
    "pct_mult", -- The percentage of people self designated as multi-ethnic
    "hawpac_nh", -- The number of people self designated as hawaiian.
    "pct_asian", -- The percentage of people self designated as asian
    "pct_amind", -- The percentage of people self designated as native american (not hispanic).
    "white_nh", -- Estimate for the White, Non-Hispanic Population
    "pct_hisp", -- The percentage of people self designated as hispanic (not white).
    "hispanic", -- Estimate for the Hispanic Population
    "namesf1", -- The name of the designated area (eg Block 1081)
    "state", -- The state id number that the designated area is in (Colorado is 08).
    "aland00", -- The amount of water in the designated area, in ft2.
    "name00", -- The name of the designated area
    "pct_rent", -- The percentage of houses that are rented by their occupants in the designated area
    "pct_occ", -- The percentage of houses occupied in the designated area
    "gq_nurs", -- The number living in nursing homes
    "gq_miltry", -- The number living in military quarters
    "hh_alone", -- The number of households where the resident is living alone
    "family_hh", -- The number of households self designated as family
    "pct_u10", -- The percentage of people younger than 10
    "pct_white", -- The percentage of people self designated as white (not hispanic).
    "cousub", -- The county sub code (eg 90285)
    "med_male", -- The median age of all self designated males in the designated area
    "amerind_nh", -- The number of people self designated as native american (not hispanic).
    "the_geom" -- GeoJSON field describing the boundaries of the area
FROM
    "colorado-gov/census-county-subdivisions-sf1-in-colorado-2000-85u5-cuz2:latest"."census_county_subdivisions_sf1_in_colorado_2000"
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 colorado-gov/census-county-subdivisions-sf1-in-colorado-2000-85u5-cuz2 with SQL in under 60 seconds.

This repository is an "external" repository. That means it's hosted elsewhere, in this case at data.colorado.gov. When you querycolorado-gov/census-county-subdivisions-sf1-in-colorado-2000-85u5-cuz2: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.colorado.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 \
  "colorado-gov/census-county-subdivisions-sf1-in-colorado-2000-85u5-cuz2" \
  --handler-options '{
    "domain": "data.colorado.gov",
    "tables": {
        "census_county_subdivisions_sf1_in_colorado_2000": "85u5-cuz2"
    }
}'

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, colorado-gov/census-county-subdivisions-sf1-in-colorado-2000-85u5-cuz2 is just another Postgres schema.