usaid-gov/data-on-food-consumption-in-zinder-and-maradi-in-uvqr-uffa
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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 data_on_food_consumption_in_zinder_and_maradi_in table in this repository, by referencing it like:

"usaid-gov/data-on-food-consumption-in-zinder-and-maradi-in-uvqr-uffa:latest"."data_on_food_consumption_in_zinder_and_maradi_in"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "pc_gifts_98", -- none
    "pc_produced_42", -- none
    "pc_produced_43", -- none
    "pc_produced_44", -- none
    "pc_produced_41", -- none
    "pc_produced_40", -- none
    "pc_produced_45", -- none
    "pc_produced_46", -- none
    "pc_produced_50", -- none
    "pc_produced_51", -- none
    "pc_produced_59", -- none
    "pc_produced_61", -- none
    "pc_produced_66", -- none
    "pc_produced_77", -- none
    "pc_produced_69", -- none
    "pc_produced_70", -- none
    "pc_produced_35", -- none
    "pc_produced_74", -- none
    "pc_produced_78", -- none
    "pc_produced_85", -- none
    "pc_produced_86", -- none
    "pc_produced_39", -- none
    "id",
    "occasional_20", -- Daily per capita consumption 2013 FCFA Frais de photocopies de document
    "occasional_17", -- Daily per capita consumption 2013 FCFA Frais de communication t l phonique dans une cabine
    "occasional_12", -- Daily per capita consumption 2013 FCFA P te dentifrice
    "occasional_11", -- Daily per capita consumption 2013 FCFA Frais de coiffure homme et femme
    "pc_produced_87", -- none
    "pc_produced_93", -- none
    "occasional_10", -- Daily per capita consumption 2013 FCFA Autres produits de toilettes
    "usual_4_median", -- none
    "usual_10", -- Daily per capita consumption 2013 FCFA AUTRES
    "pc_produced_96", -- none
    "pc_produced_97", -- none
    "pc_produced_102", -- none
    "pc_produced_104", -- none
    "pc_gifts_1", -- none
    "food_total", -- Daily per capita consumption 2013 FCFA Food
    "food_125", -- none
    "food_119", -- none
    "food_117", -- none
    "food_72_median", -- none
    "food_76_median", -- none
    "food_77_median", -- none
    "food_103_median", -- none
    "food_26_median", -- none
    "food_6_median", -- none
    "food_16_median", -- none
    "food_12_median", -- none
    "food_18_median", -- none
    "pc_gifts_2", -- none
    "pc_gifts_4", -- none
    "pc_gifts_5", -- none
    "pc_gifts_15", -- none
    "pc_gifts_17", -- none
    "pc_gifts_18", -- none
    "pc_gifts_20", -- none
    "pc_gifts_27", -- none
    "pc_gifts_29", -- none
    "pc_gifts_30", -- none
    "pc_gifts_32", -- none
    "pc_gifts_35", -- none
    "pc_gifts_37", -- none
    "pc_gifts_40", -- none
    "pc_gifts_41", -- none
    "pc_gifts_42", -- none
    "pc_gifts_45", -- none
    "pc_gifts_46", -- none
    "pc_gifts_48", -- none
    "pc_gifts_57", -- none
    "pc_gifts_66", -- none
    "pc_gifts_69", -- none
    "food_83_median", -- none
    "pc_gifts_34", -- none
    "pc_gifts_22", -- none
    "pc_gifts_70", -- none
    "pc_gifts_74", -- none
    "pc_gifts_78", -- none
    "pc_gifts_80", -- none
    "pc_gifts_83", -- none
    "food_80_median", -- none
    "pc_gifts_100", -- none
    "pc_gifts_94", -- none
    "pc_gifts_82", -- none
    "pc_gifts_73", -- none
    "pc_gifts_64", -- none
    "pc_gifts_63", -- none
    "pc_gifts_53", -- none
    "pc_gifts_52", -- none
    "pc_gifts_50", -- none
    "pc_gifts_47", -- none
    "pc_gifts_43", -- none
    "pc_gifts_31", -- none
    "pc_gifts_14", -- none
    "pc_gifts_11", -- none
    "pc_produced_98", -- none
    "pc_produced_92", -- none
    "pc_produced_89", -- none
    "pc_produced_88", -- none
    "pc_produced_47", -- none
    "pc_produced_38", -- none
    "pc_produced_36", -- none
    "food_92_median", -- none
    "pc_gifts_84", -- none
    "food_107_median", -- none
    "pc_gifts_55", -- none
    "pc_gifts_38", -- none
    "pc_gifts_49", -- none
    "food_41_median", -- none
    "pc_gifts_8", -- none
    "pc_produced_63", -- none
    "pc_produced_57", -- none
    "pc_gifts_104", -- none
    "pc_produced_80", -- none
    "food_100_median", -- none
    "pc_produced_37", -- none
    "usual_7_median", -- none
    "pc_produced_34", -- none
    "pc_gifts_67", -- none
    "pc_produced_71", -- none
    "pc_gifts_16", -- none
    "pc_gifts_36", -- none
    "food_88_median", -- none
    "pc_gifts_106", -- none
    "food_3_median", -- none
    "food_98_median", -- none
    "pc_gifts_101", -- none
    "pc_gifts_56", -- none
    "food_5_median", -- none
    "pc_produced_103", -- none
    "food_10_median", -- none
    "food_90_median", -- none
    "food_49_median", -- none
    "food_28_median", -- none
    "pc_gifts_25", -- none
    "food_73_median", -- none
    "food_29_median", -- none
    "pc_produced_58", -- none
    "pc_produced_105", -- none
    "pc_produced_81", -- none
    "food_65_median", -- none
    "pc_gifts_99", -- none
    "food_59_median", -- none
    "pc_gifts_89", -- none
    "usual_10_median", -- none
    "food_71_median", -- none
    "food_21_median", -- none
    "food_4_median", -- none
    "pc_gifts_13", -- none
    "pc_produced_82", -- none
    "pc_gifts_33", -- none
    "pc_gifts_7", -- none
    "food_54_median", -- none
    "food_27_median", -- none
    "food_52_median", -- none
    "pc_gifts_23", -- none
    "pc_gifts_44", -- none
    "pc_produced_83", -- none
    "usual_8_median", -- none
    "food_58_median", -- none
    "pc_gifts_105", -- none
    "pc_gifts_9", -- none
    "pc_gifts_102", -- none
    "food_14_median", -- none
    "pc_gifts_62", -- none
    "food_42_median", -- none
    "pc_gifts_26", -- none
    "food_31_median", -- none
    "pc_produced_54", -- none
    "pc_gifts_91", -- none
    "pc_produced_100", -- none
    "pc_produced_48", -- none
    "pc_gifts_95", -- none
    "food_17_median", -- none
    "pc_gifts_92", -- none
    "pc_gifts_107", -- none
    "pc_produced_65", -- none
    "occasional_4", -- Daily per capita consumption 2013 FCFA Services de r paration et d entretien
    "pc_gifts_88", -- none
    "pc_produced_79", -- none
    "occasional_18", -- Daily per capita consumption 2013 FCFA frais d utilisation de l Internet dans un cybercaf
    "pc_gifts_60", -- none
    "pc_gifts_79", -- none
    "pc_gifts_59", -- none
    "pc_produced_101", -- none
    "food_19_median", -- none
    "pc_produced_76", -- none
    "food_50_median", -- none
    "pc_produced_56", -- none
    "food_85_median", -- none
    "pc_gifts_12", -- none
    "food_22_median", -- none
    "food_44_median", -- none
    "food_24_median", -- none
    "usual_6_median", -- none
    "food_82_median", -- none
    "pc_produced_62", -- none
    "pc_gifts_68", -- none
    "pc_gifts_54", -- none
    "pc_produced_52", -- none
    "food_87_median", -- none
    "food_8_median", -- none
    "pc_gifts_75", -- none
    "food_53_median", -- none
    "pc_produced_68", -- none
    "food_47_median", -- none
    "pc_gifts_19", -- none
    "pc_produced_95", -- none
    "pc_gifts_77", -- none
    "pc_gifts_65", -- none
    "pc_gifts_61", -- none
    "food_23_median", -- none
    "food_89_median", -- none
    "pc_gifts_3", -- none
    "food_56_median", -- none
    "food_67_median", -- none
    "food_75_median", -- none
    "food_70_median", -- none
    "food_102_median", -- none
    "pc_produced_99", -- none
    "pc_produced_94", -- none
    "pc_gifts_81", -- none
    "food_13_median", -- none
    "pc_produced_67", -- none
    "pc_produced_90", -- none
    "pc_gifts_24", -- none
    "food_96_median", -- none
    "food_84_median", -- none
    "pc_produced_53", -- none
    "pc_gifts_85", -- none
    "food_57_median", -- none
    "food_34_median", -- none
    "pc_gifts_6", -- none
    "food_81_median", -- none
    "food_97_median", -- none
    "food_51_median", -- none
    "usual_3_median", -- none
    "food_61_median", -- none
    "food_69_median", -- none
    "pc_produced_106", -- none
    "food_7_median", -- none
    "pc_gifts_21", -- none
    "usual_5_median", -- none
    "food_36_median", -- none
    "pc_gifts_39", -- none
    "food_101_median", -- none
    "pc_gifts_10", -- none
    "food_48_median", -- none
    "pc_gifts_72", -- none
    "pc_produced_64", -- none
    "pc_produced_60", -- none
    "pc_produced_107", -- none
    "pc_produced_75", -- none
    "pc_gifts_93", -- none
    "food_11_median", -- none
    "food_106_median", -- none
    "food_20_median", -- none
    "pc_produced_73", -- none
    "food_37_median", -- none
    "food_60_median", -- none
    "pc_produced_72", -- none
    "food_99_median", -- none
    "food_62_median", -- none
    "food_38_median", -- none
    "pc_gifts_71", -- none
    "food_25_median", -- none
    "pc_produced_84", -- none
    "pc_produced_49", -- none
    "pc_produced_55", -- none
    "pc_gifts_76", -- none
    "food_64_median", -- none
    "food_105_median", -- none
    "food_63_median", -- none
    "pc_produced_91", -- none
    "pc_gifts_28", -- none
    "pc_gifts_51", -- none
    "pc_gifts_58", -- none
    "food_93_median", -- none
    "food_30_median", -- none
    "food_39_median", -- none
    "food_79_median", -- none
    "food_86_median", -- none
    "food_68_median", -- none
    "food_43_median", -- none
    "food_66_median", -- none
    "food_94_median", -- none
    "food_74_median", -- none
    "food_91_median", -- none
    "food_15_median", -- none
    "food_9_median", -- none
    "food_1_median", -- none
    "food_46_median", -- none
    "food_40_median", -- none
    "food_32_median", -- none
    "food_95_median", -- none
    "food_35_median", -- none
    "food_2_median", -- none
    "food_45_median", -- none
    "pc_gifts_103", -- none
    "food_33_median", -- none
    "food_55_median", -- none
    "pc_gifts_97", -- none
    "pc_gifts_96", -- none
    "pc_gifts_90", -- none
    "food_104_median", -- none
    "food_78_median", -- none
    "food_108", -- none
    "food_109", -- none
    "food_110", -- none
    "food_111", -- none
    "food_112", -- none
    "food_113", -- none
    "food_114", -- none
    "food_115", -- none
    "food_116", -- none
    "food_118", -- none
    "food_120", -- none
    "food_121", -- none
    "food_122", -- none
    "food_123", -- none
    "food_124", -- none
    "usual_1", -- Daily per capita consumption 2013 FCFA Allumettes
    "usual_2", -- Daily per capita consumption 2013 FCFA Bois de chauffe
    "usual_3", -- Daily per capita consumption 2013 FCFA Charbon de bois Charbon mineral
    "usual_4", -- Daily per capita consumption 2013 FCFA Piles electriques bougies
    "usual_5", -- Daily per capita consumption 2013 FCFA Petrole lampant
    "usual_6", -- Daily per capita consumption 2013 FCFA Transport urbain en taxi bus moto
    "usual_7", -- Daily per capita consumption 2013 FCFA Cartes prepayees shap shap de telephone mobile
    "usual_8", -- Daily per capita consumption 2013 FCFA Journaux et revues
    "usual_9", -- Daily per capita consumption 2013 FCFA Frais de moulure des cereales
    "usual_1_median", -- none
    "usual_2_median", -- none
    "usual_9_median", -- none
    "usual_total", -- Total usual expenditures Daily per capita in 2013 FCFA
    "occasional_1", -- Daily per capita consumption 2013 FCFA Gaz domestique
    "occasional_2", -- Daily per capita consumption 2013 FCFA Carburant pour v hicules
    "occasional_3", -- Daily per capita consumption 2013 FCFA Lubrifiants
    "occasional_5", -- Daily per capita consumption 2013 FCFA Savon de m nage lessive en poudre d tergents
    "occasional_6", -- Daily per capita consumption 2013 FCFA Insecticide tortillon anti moustique
    "occasional_7", -- Daily per capita consumption 2013 FCFA Savon de toilette
    "occasional_8", -- Daily per capita consumption 2013 FCFA Lait lotion de toilette corporelle
    "occasional_9", -- Daily per capita consumption 2013 FCFA Serviettes hygi niques couches jetables pour b b etc
    "pc_gifts_87", -- none
    "occasional_22", -- Daily per capita consumption 2013 FCFA 222 CODE for Frais de blanchiment des v tements linge etc
    "pc_gifts_86", -- none
    "occasional_21", -- Daily per capita consumption 2013 FCFA Frais de ramassage des ordures m nag res
    "occasional_19", -- Daily per capita consumption 2013 FCFA Frais de l galisation confection de documents administratifs
    "occasional_16", -- Daily per capita consumption 2013 FCFA Frais de timbre postaux etc
    "occasional_15", -- Daily per capita consumption 2013 FCFA Amploules lectriques
    "occasional_14", -- Daily per capita consumption 2013 FCFA Papier toilette
    "occasional_13" -- Daily per capita consumption 2013 FCFA Brosse dents
FROM
    "usaid-gov/data-on-food-consumption-in-zinder-and-maradi-in-uvqr-uffa:latest"."data_on_food_consumption_in_zinder_and_maradi_in"
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/data-on-food-consumption-in-zinder-and-maradi-in-uvqr-uffa 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/data-on-food-consumption-in-zinder-and-maradi-in-uvqr-uffa: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.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/data-on-food-consumption-in-zinder-and-maradi-in-uvqr-uffa" \
  --handler-options '{
    "domain": "data.usaid.gov",
    "tables": {
        "data_on_food_consumption_in_zinder_and_maradi_in": "uvqr-uffa"
    }
}'

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/data-on-food-consumption-in-zinder-and-maradi-in-uvqr-uffa is just another Postgres schema.