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 department_of_probation_dop_annual_adult_cases table in this repository, by referencing it like:
"cityofnewyork-us/department-of-probation-dop-annual-adult-cases-xsj8-452q:latest"."department_of_probation_dop_annual_adult_cases"or in a full query, like:
SELECT
":id", -- Socrata column ID
"disposed_violation_jail", -- The number of "violation of probation" dispositions issued by local courts proceedings during the reporting period for Jail (revocation) category,
"borough", -- One of the five boroughs of New York City. NYC DOP has offices in each of the five boroughs.
"calendar_or_fiscal_year", -- Denotes whether this is a calendar or a fiscal year.
"filed_violation_technical", -- Number of violations filed by type during the reporting period for the category of violation filed, based on the Technical (rules violations misconduct.
"disposed_violation_terminated", -- The number of "violation of probation" dispositions issued by local courts proceedings during the reporting period for Terminated (probation sentence ended) category,
"investigation_charge", -- The number of presentence investigation reports ordered for adults during the reporting period for the New York State Penal Law charge type - Misdemeanor.
"early_discharge_new_requests", -- The number of early discharge filings or decisions for New Requests submitted to a local court during the reporting period.
"investigation_charge_felonies", -- The number of presentence investigation reports ordered for adults during the reporting period for the New York State Penal Law charge type - Felony.
"passthrough_count", -- The sum of the number of cases on the first day of the reporting period, plus all cases added during the reporting period.
"disposed_violation_restored", -- The number of "violation of probation" dispositions issued by local courts proceedings during the reporting period for Restored (probation continued) category,
"filed_violation_rearrests", -- Number of violations filed by type during the reporting period for the category of violation filed, based on the Rearrest misconduct.
"supervision_caseload_count", -- The number of active adult probation supervision cases on the last day of the reporting period.
"year", -- The twelve month period corresponding to the calendar year (January-December) or fiscal year (July-June).
"filed_violation_absconder", -- Number of violations filed by type during the reporting period for the category of violation filed, based on the Absconder misconduct.
"early_discharge_requests_1", -- The number of early discharge filings or decisions for Disapproved Requests submitted to a local court during the reporting period.
"early_discharge_requests", -- The number of early discharge filings or decisions for Approved Requests submitted to a local court during the reporting period.
"supervision_intakes", -- The number of adults sentenced to probation supervision during the reporting period.
"disposed_violation_prison" -- The number of "violation of probation" dispositions issued by local courts proceedings during the reporting period for Prison (revocation) category,
FROM
"cityofnewyork-us/department-of-probation-dop-annual-adult-cases-xsj8-452q:latest"."department_of_probation_dop_annual_adult_cases"
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 cityofnewyork-us/department-of-probation-dop-annual-adult-cases-xsj8-452q with SQL in under 60 seconds.
This repository is an "external" repository. That means it's hosted elsewhere, in this case at data.cityofnewyork.us. When you querycityofnewyork-us/department-of-probation-dop-annual-adult-cases-xsj8-452q: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
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.cityofnewyork.us, 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 \
"cityofnewyork-us/department-of-probation-dop-annual-adult-cases-xsj8-452q" \
--handler-options '{
"domain": "data.cityofnewyork.us",
"tables": {
"department_of_probation_dop_annual_adult_cases": "xsj8-452q"
}
}'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, cityofnewyork-us/department-of-probation-dop-annual-adult-cases-xsj8-452q is just another Postgres schema.