texas-gov/summer-meal-programs-seamless-summer-option-sso-93u6-myq9
Loading...

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 summer_meal_programs_seamless_summer_option_sso table in this repository, by referencing it like:

"texas-gov/summer-meal-programs-seamless-summer-option-sso-93u6-myq9:latest"."summer_meal_programs_seamless_summer_option_sso"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "suppertime", -- Time supper service starts and ends. Data displayed as: H:MM – H:MM
    "pmsnacktime", -- Time afternoon snack service starts and ends. Data displayed as: H:MM – H:MM
    "breakfastdaysserved", -- Days of the week breakfast served at the site during operation Data displayed as: S/M/T/W/TH/F/SA; multiple entries separated by commas
    "days_of_operation", -- Days of the week meals served at the site during operation. Data displayed as: S/M/T/W/TH/F/SA; multiple entries separated by commas
    "siteenddate", -- Operational end date for the site
    "seamlesssummercontacttit", -- Summer program contact title or position
    "seamlesssummercontactfirstname", -- Summer program contact first name
    "sitecounty", -- County in which the site is located
    "childnutdirphone", -- Child Nutrition Director (CND) phone number
    "superintendentemail", -- CE administrator/superintendent email address
    "cemailingaddressstate", -- Contracting Entity (CE) mailing address, state
    "cemailingaddressline2", -- Contracting Entity (CE) mailing address, line 2 (if applicable)
    "pmsnackdaysserved", -- Days of the week afternoon snacks served at the site during operation Data displayed as: S/M/T/W/TH/F/SA; multiple days separated by commas
    "childnutdirsalutation", -- Honorific salutation for Child Nutrition Director (CND). Optional entry for CE. Format: Mr., Ms. Dr., etc.
    "typeofsnporg", -- Type of organization the sponsored site operates as. Data displayed as: Charter/Private/Public/RCCI (Residential Child Care Institution)
    "seamlesssummercontactsal", -- Honorific salutation for summer program contact. Optional entry. Format: Mr., Ms. Dr., etc.
    "cestreetaddressstate", -- Contracting Entity (CE) street address, state
    "countydistrictcode", -- County District Code for county in which Contracting Entity (CE) in located
    "cestreetaddresszipcode", -- Contracting Entity (CE) street address, zip code
    "sitestreetaddressline1", -- Site street address, line 1
    "cestreetaddressline2", -- Contracting Entity (CE) street address, line 2 (if applicable)
    "sitename", -- Site name
    "cename", -- Contracting Entity (CE) name
    "childnutdirtitleposition", -- Child Nutrition Director (CND) title or position
    "childnutdirfirstname", -- Child Nutrition Director (CND) first name
    "superintendentlastname", -- CE administrator/superintendent last name
    "cestreetaddresscity", -- Contracting Entity (CE) street address, city 
    "geocoded_column", -- Geo-location of site based on site street address for map visualization. Null values in geolocation data is most likely due to a P.O. Box address listed for a site address.
    "lunchdaysserved", -- Days of the week lunch served at the site during operation Data displayed as: S/M/T/W/TH/F/SA; multiple entries separated by commas
    "breakfasttime", -- Time breakfast service starts and ends. Data displayed as: H:MM – H:MM
    "lunchtime", -- Time lunch service starts and ends. Data displayed as: H:MM – H:MM
    "sitestartdate", -- Operational start date for the site
    "seamlesssummercontactemail", -- Summer program contact email address
    "seamlesssummercontactlastname", -- Summer program contact last name
    "sitestreetcity", -- Site street address, city
    "sitestreetaddressline2", -- Site street address, line 2 (if applicable)
    "siteid", -- Identification number assigned to site within CE
    "childnutdiremail", -- Child Nutrition Director (CND) email address
    "superintendentphone", -- CE administrator/superintendent phone number
    "childnutdirlastname", -- Child Nutrition Director (CND) last name
    "superintendenttitleposition", -- CE administrator/superintendent title or position
    "cemailingaddresszipcode", -- Contracting Entity (CE) mailing address, zip code
    "cemailingaddresscity", -- Contracting Entity (CE) mailing address, city
    "cemailingaddressline1", -- Contracting Entity (CE) mailing address, line 1
    "cestreetaddressline1", -- Contracting Entity (CE) street address, line 1
    "esc", -- Educational Service Center (ESC) region
    "seamlesssummercontactphone", -- Summer program contact phone number
    "sitestreetstate", -- Site street address, state
    "meal_types_served", -- Type of meals served at the site during operation. Data displayed as: Breakfast/Lunch/Dinner/AM Snack/PM Snack; multiple entries separated by commas
    "superintendentfirstname", -- CE administrator/superintendent first name
    "typeofagency", -- Type of agency the Contracting Entity (CE) operates as. Data displayed as: Educational Institution/Government Agency/Indian Tribe/Military Installation/Private Non Profit Organization
    "cecounty", -- County in which the Contracting Entity (CE) is located
    "ceid", -- Unique number assigned to Contracting Entity (CE) to identify organization as a program sponsor
    "sitetype", -- Site type description. Data displayed as: Camp/Closed/Open/Open Restricted
    "tdaregion", -- Texas Department of Agriculture (TDA) service region
    "amsnackdaysserved", -- Days of the week morning snacks served at the site during operation Data displayed as: S/M/T/W/TH/F/SA; multiple entries separated by commas
    "supperdaysserved", -- Days of the week supper served at the site during operation Data displayed as: S/M/T/W/TH/F/SA; multiple days separated by commas
    "superintendentsalutation", -- Honorific salutation for CE administrator/superintendent. Optional entry for CE. Format: Mr., Ms., Dr., etc.
    "programyear", -- A program period for summer feeding programs is defined as mid-May through the end of August for the same calendar year. 
    "reporttype", -- Type of information being reported in the dataset 
    ":@computed_region_hy99_5a2i",
    ":@computed_region_ywmh_rrwq",
    "sitestreetzipcode", -- Site street address, zip code
    ":@computed_region_fd5q_j34z",
    ":@computed_region_346f_s9gh",
    "amsnacktime", -- Time morning snack service starts and ends. Data displayed as: H:MM – H:MM
    ":@computed_region_9y59_55ru"
FROM
    "texas-gov/summer-meal-programs-seamless-summer-option-sso-93u6-myq9:latest"."summer_meal_programs_seamless_summer_option_sso"
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 texas-gov/summer-meal-programs-seamless-summer-option-sso-93u6-myq9 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 texas-gov/summer-meal-programs-seamless-summer-option-sso-93u6-myq9: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 texas-gov/summer-meal-programs-seamless-summer-option-sso-93u6-myq9

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 texas-gov/summer-meal-programs-seamless-summer-option-sso-93u6-myq9:latest

This will download all the objects for the latest tag of texas-gov/summer-meal-programs-seamless-summer-option-sso-93u6-myq9 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 texas-gov/summer-meal-programs-seamless-summer-option-sso-93u6-myq9: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 texas-gov/summer-meal-programs-seamless-summer-option-sso-93u6-myq9: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, texas-gov/summer-meal-programs-seamless-summer-option-sso-93u6-myq9 is just another Postgres schema.

Related Documentation:

Loading...