Query the Data Delivery Network
Query the DDNThe 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 pillbox_retired_january_28_2021 table in this repository, by referencing it like:
"datadiscovery-nlm-nih-gov/pillbox-retired-january-28-2021-crzr-uvwg:latest"."pillbox_retired_january_28_2021"or in a full query, like:
SELECT
":id", -- Socrata column ID
"epc_match", -- [SOURCE: PILLBOX/NLM]
"splimage", -- [SOURCE: SPL(DRUG LABEL)/FDA OR PILLBOX/NLM]
"approval_code", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"author", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"document_type", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"dosage_form", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"file_name", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"effective_time", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"medicine_name", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"ndc_labeler_code", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"ndc9", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"rxnorm_update_time", -- [SOURCE: PILLBOX/NLM]
"rxcui", -- [SOURCE: RXNORM/NLM]
"rxstring", -- [SOURCE: RXNORM/NLM]
"spl_inactive_ing", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"spl_ingredients", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"spl_strength", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"pillbox_color_text", -- [SOURCE: PILLBOX/NLM]
"splcolor_text", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"splcolor", -- [SOURCE: SPL(DRUG LABEL)/FDA] Color as reported by the listing firm. Colors are limited to those specified in SPL Guidance. https://www.fda.gov/industry/structured-product-labeling-resources/spl-color
"pillbox_imprint", -- [SOURCE: PILLBOX/NLM] If an image exists and the imprint text does not match splimprint, NLM adds the imprint presented on the image to improve the search experience. For a small number of pills, the imprint has changed. In those situations, NLM will include the previous imprint text.
"splimprint", -- [SOURCE: SPL(DRUG LABEL)/FDA] Imprint as reported by the listing firm
"pillbox_score", -- [SOURCE: PILLBOX/NLM] If an image exists and splscore does not match the score value of the pill in the image, NLM adds a score value to improve search.
"splscore", -- [SOURCE: SPL(DRUG LABEL)/FDA] Score as reported by the listing firm.
"pillbox_shape_text", -- [SOURCE: PILLBOX/NLM] If an image exists and splshape/shape_text do not match the shape of the pill in the image, NLM adds a shape value (in text format using the FDA SPL/splshape terms) to improve search. https://www.fda.gov/industry/structured-product-labeling-resources/spl-shape
"splshape_text", -- [SOURCE: SPL(DRUG LABEL)/FDA] Shape as reported by the listing firm. Text value from https://www.fda.gov/industry/structured-product-labeling-resources/spl-shape
"splshape", -- [SOURCE: SPL(DRUG LABEL)/FDA] Shape as reported by the listing firm. Coded value from https://www.fda.gov/industry/structured-product-labeling-resources/spl-shape
"pillbox_size", -- [SOURCE: SPL(DRUG LABEL)/FDA] If an NLM or VA image with a ruler exists, the size as measured on that image
"splsize", -- [SOURCE: SPL(DRUG LABEL)/FDA] Size as reported by listing firm
"setid", -- [SOURCE: SPL(DRUG LABEL)/FDA] SETID of source drug label
"spp", -- SETID + Product Code + Part Number (uniquely identifies a pill)
"updated_at", -- [SOURCE: PILLBOX/NLM] Date record was updated
"created_at", -- [SOURCE: PILLBOX/NLM] Date record was created
"id", -- [SOURCE: PILLBOX/NLM] Pillbox Engine-assigned unique identifier
"pillbox_value", -- [SOURCE: PILLBOX/NLM]
"updated", -- [SOURCE: PILLBOX/NLM]
"version_number", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"image_source", -- [SOURCE: PILLBOX/NLM]
"dea_schedule_name", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"equal_product_code", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"ndc_product_code", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"part_medicine_name", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"part_num", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"product_code", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"source", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"stale", -- [SOURCE: PILLBOX/NLM]
"rxtty", -- [SOURCE: RXNORM/NLM]
"has_image", -- [SOURCE: PILLBOX/NLM]
"marketing_act_code", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"application_number", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"dea_schedule_code", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"enabled", -- [SOURCE: PILLBOX/NLM] Supports Pillbox Engine
"author_type", -- [SOURCE: SPL(DRUG LABEL)/FDA]
"new", -- [SOURCE: PILLBOX/NLM]
"laberer_code" -- [SOURCE: SPL(DRUG LABEL)/FDA]
FROM
"datadiscovery-nlm-nih-gov/pillbox-retired-january-28-2021-crzr-uvwg:latest"."pillbox_retired_january_28_2021"
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 datadiscovery-nlm-nih-gov/pillbox-retired-january-28-2021-crzr-uvwg with SQL in under 60 seconds.
Query Your Local Engine
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 datadiscovery-nlm-nih-gov/pillbox-retired-january-28-2021-crzr-uvwg: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 datadiscovery-nlm-nih-gov/pillbox-retired-january-28-2021-crzr-uvwgCheckout 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 datadiscovery-nlm-nih-gov/pillbox-retired-january-28-2021-crzr-uvwg:latestThis will download all the objects for the latest tag of datadiscovery-nlm-nih-gov/pillbox-retired-january-28-2021-crzr-uvwg 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 datadiscovery-nlm-nih-gov/pillbox-retired-january-28-2021-crzr-uvwg: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 datadiscovery-nlm-nih-gov/pillbox-retired-january-28-2021-crzr-uvwg:latestThis 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, datadiscovery-nlm-nih-gov/pillbox-retired-january-28-2021-crzr-uvwg is just another Postgres schema.