usaid-gov/guatemala-food-consumption-data-section-6-6b89-9wbv

  • baseline survey
  • ffp
  • food for peace
  • food security
  • guatemala
  • + 3

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 procotol. 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 guatemala_food_consumption_data_section_6 table in this repository, by referencing it like:

"usaid-gov/guatemala-food-consumption-data-section-6-6b89-9wbv:latest"."guatemala_food_consumption_data_section_6"

or in a full query, like:

SELECT 
    ":id", -- Socrata column ID
    "mhwt", -- Household weight for headcount ratios poverty indicators
    "asset_rental_final_4", -- Daily per capita rental equivalent 2013 GTQ piedra de moler
    "asset_rental_final_13", -- Daily per capita rental equivalent 2013 GTQ lavadora de ropa
    "asset_rental_final_23", -- Daily per capita rental equivalent 2013 GTQ Otros art culos de cocina
    "asset_rental_final_7", -- Daily per capita rental equivalent 2013 GTQ impresora
    "asset_rental_final_18", -- Daily per capita rental equivalent 2013 GTQ autom vil pick up camionetilla
    "total_consumption_2010", -- Total consumption Daily per capita constant 2010 US dollars at 2005 PPP adjusted to 2010 US prices
    "asset_rental_final_19", -- Daily per capita rental equivalent 2013 GTQ moto motoneta
    "asset_rental_final_6", -- Daily per capita rental equivalent 2013 GTQ computadora
    "asset_rental_final_25", -- Daily per capita rental equivalent 2013 GTQ Otros art culos del hogar
    "asset_rental_final_14", -- Daily per capita rental equivalent 2013 GTQ ventilador
    "asset_rental_final_10", -- Daily per capita rental equivalent 2013 GTQ televisor
    "assets_total", -- Total expenditures in assets Daily per capita rental equivalent in 2013 GTQ
    "asset_25", -- Asset ownership Otros art culos del hogar
    "asset_rental_final_1", -- Daily per capita rental equivalent 2013 GTQ estufa a gas o el ctrica
    "asset_rental_final_20", -- Daily per capita rental equivalent 2013 GTQ cami n
    "asset_rental_final_22", -- Daily per capita rental equivalent 2013 GTQ Otro
    "asset_rental_final_12", -- Daily per capita rental equivalent 2013 GTQ plancha
    "asset_rental_final_24", -- Daily per capita rental equivalent 2013 GTQ Otros art culos personales y de esparcimiento
    "asset_rental_final_5", -- Daily per capita rental equivalent 2013 GTQ olla a presi n
    "asset_rental_final_2", -- Daily per capita rental equivalent 2013 GTQ refrigeradora
    "poverty", -- Percent of people living on less than 1 25 day
    "total_consumption", -- Total daily consumption per capita 2013 UGX
    "asset_rental_final_17", -- Daily per capita rental equivalent 2013 GTQ silo met lico para guardar granos
    "asset_rental_final_3", -- Daily per capita rental equivalent 2013 GTQ molino manual de nixtamal
    "id",
    "asset_rental_final_15", -- Daily per capita rental equivalent 2013 GTQ m quina de coser
    "asset_rental_final_8", -- Daily per capita rental equivalent 2013 GTQ c mara fotogr fica
    "poverty_gap_index", -- Poverty gap index
    "asset_rental_final_11", -- Daily per capita rental equivalent 2013 GTQ panel solar
    "asset_rental_final_9", -- Daily per capita rental equivalent 2013 GTQ radio transistor
    "housing_total", -- Daily per capita consumption 2013 GTQ Housing rental equivalent
    "asset_rental_final_16", -- Daily per capita rental equivalent 2013 GTQ calentador de agua
    "asset_23", -- Asset ownership Otros art culos de cocina
    "asset_rental_final_21", -- Daily per capita rental equivalent 2013 GTQ bicicleta
    "asset_24" -- Asset ownership Otros art culos personales y de esparcimiento
FROM
    "usaid-gov/guatemala-food-consumption-data-section-6-6b89-9wbv:latest"."guatemala_food_consumption_data_section_6"
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 usaid-gov/guatemala-food-consumption-data-section-6-6b89-9wbv with SQL in under 60 seconds.

This repository is an "external" repository. That means it's hosted elsewhere, in this case at data.usaid.gov. When you queryusaid-gov/guatemala-food-consumption-data-section-6-6b89-9wbv: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)"
 

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.usaid.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 \
  "usaid-gov/guatemala-food-consumption-data-section-6-6b89-9wbv" \
  --handler-options '{
    "domain": "data.usaid.gov",
    "tables": {
        "guatemala_food_consumption_data_section_6": "6b89-9wbv"
    }
}'

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, usaid-gov/guatemala-food-consumption-data-section-6-6b89-9wbv is just another Postgres schema.

Related Documentation: