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FunSQL.jl

FunSQL is a Julia library for compositional construction of SQL queries.

Stable DocumentationDevelopment DocumentationZulip ChatOpen IssuesBuild StatusCode Coverage StatusMIT LicenseDOI

Overview

Julia programmers sometimes need to interrogate data with the Structured Query Language (SQL). But SQL is notoriously hard to write in a modular fashion.

FunSQL exposes full expressive power of SQL with a compositional semantics. FunSQL allows you to build queries incrementally from small independent fragments. This approach is particularly useful for building applications that programmatically construct SQL queries.

If you want to learn more about FunSQL, read about Two Kinds of SQL Query Builders, watch presentations at OHDSI DevCon 2023 (slides) and JuliaCon 2021 (slides), explore the Examples, or go straight to the Usage Guide.

FunSQL | OHDSI DevCon 2023

FunSQL | JuliaCon 2021

Example

When was the last time each person born between 1930 and 1940 and living in Illinois was seen by a healthcare provider?

Database Schema

Pipeline Diagram

Julia Code
@funsqlbeginfrom(person)
filter(1930<= year_of_birth <=1940)
join(
from(location).filter(state =="IL").as(location),
on = location_id == location.location_id)
left_join(
from(visit_occurrence).group(person_id).as(visit_group),
on = person_id == visit_group.person_id)
select(
person_id,
latest_visit_date => visit_group.max(visit_start_date))
end
Generated SQL
SELECT"person_2"."person_id",
"visit_group_1"."max"AS"latest_visit_date"FROM (
SELECT"person_1"."person_id",
"person_1"."location_id"FROM"person"AS"person_1"WHERE
(1930<="person_1"."year_of_birth") AND
("person_1"."year_of_birth"<=1940)
) AS"person_2"JOIN (
SELECT"location_1"."location_id"FROM"location"AS"location_1"WHERE ("location_1"."state"='IL')
) AS"location_2"ON ("person_2"."location_id"="location_2"."location_id")
LEFT JOIN (
SELECTmax("visit_occurrence_1"."visit_start_date") AS"max",
"visit_occurrence_1"."person_id"FROM"visit_occurrence"AS"visit_occurrence_1"GROUP BY"visit_occurrence_1"."person_id"
) AS"visit_group_1"ON ("person_2"."person_id"="visit_group_1"."person_id")

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Julia library for compositional construction of SQL queries

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FunSQL.jl

FunSQL is a Julia library for compositional construction of SQL queries.

Stable DocumentationDevelopment DocumentationZulip ChatOpen IssuesBuild StatusCode Coverage StatusMIT LicenseDOI

Overview

Julia programmers sometimes need to interrogate data with the Structured Query Language (SQL). But SQL is notoriously hard to write in a modular fashion.

FunSQL exposes full expressive power of SQL with a compositional semantics. FunSQL allows you to build queries incrementally from small independent fragments. This approach is particularly useful for building applications that programmatically construct SQL queries.

If you want to learn more about FunSQL, read about Two Kinds of SQL Query Builders, watch presentations at OHDSI DevCon 2023 (slides) and JuliaCon 2021 (slides), explore the Examples, or go straight to the Usage Guide.

FunSQL | OHDSI DevCon 2023

FunSQL | JuliaCon 2021

Example

When was the last time each person born between 1930 and 1940 and living in Illinois was seen by a healthcare provider?

Database Schema

Pipeline Diagram

Julia Code
@funsqlbeginfrom(person)
filter(1930<= year_of_birth <=1940)
join(
from(location).filter(state =="IL").as(location),
on = location_id == location.location_id)
left_join(
from(visit_occurrence).group(person_id).as(visit_group),
on = person_id == visit_group.person_id)
select(
person_id,
latest_visit_date => visit_group.max(visit_start_date))
end
Generated SQL
SELECT"person_2"."person_id",
"visit_group_1"."max"AS"latest_visit_date"FROM (
SELECT"person_1"."person_id",
"person_1"."location_id"FROM"person"AS"person_1"WHERE
(1930<="person_1"."year_of_birth") AND
("person_1"."year_of_birth"<=1940)
) AS"person_2"JOIN (
SELECT"location_1"."location_id"FROM"location"AS"location_1"WHERE ("location_1"."state"='IL')
) AS"location_2"ON ("person_2"."location_id"="location_2"."location_id")
LEFT JOIN (
SELECTmax("visit_occurrence_1"."visit_start_date") AS"max",
"visit_occurrence_1"."person_id"FROM"visit_occurrence"AS"visit_occurrence_1"GROUP BY"visit_occurrence_1"."person_id"
) AS"visit_group_1"ON ("person_2"."person_id"="visit_group_1"."person_id")

About

Julia library for compositional construction of SQL queries

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Resources

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166 stars

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5 watching

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FunSQL.jl

FunSQL is a Julia library for compositional construction of SQL queries.

Stable DocumentationDevelopment DocumentationZulip ChatOpen IssuesBuild StatusCode Coverage StatusMIT LicenseDOI

Overview

Julia programmers sometimes need to interrogate data with the Structured Query Language (SQL). But SQL is notoriously hard to write in a modular fashion.

FunSQL exposes full expressive power of SQL with a compositional semantics. FunSQL allows you to build queries incrementally from small independent fragments. This approach is particularly useful for building applications that programmatically construct SQL queries.

If you want to learn more about FunSQL, read about Two Kinds of SQL Query Builders, watch presentations at OHDSI DevCon 2023 (slides) and JuliaCon 2021 (slides), explore the Examples, or go straight to the Usage Guide.

FunSQL | OHDSI DevCon 2023

FunSQL | JuliaCon 2021

Example

When was the last time each person born between 1930 and 1940 and living in Illinois was seen by a healthcare provider?

Database Schema

Pipeline Diagram

Julia Code
@funsqlbeginfrom(person)
filter(1930<= year_of_birth <=1940)
join(
from(location).filter(state =="IL").as(location),
on = location_id == location.location_id)
left_join(
from(visit_occurrence).group(person_id).as(visit_group),
on = person_id == visit_group.person_id)
select(
person_id,
latest_visit_date => visit_group.max(visit_start_date))
end
Generated SQL
SELECT"person_2"."person_id",
"visit_group_1"."max"AS"latest_visit_date"FROM (
SELECT"person_1"."person_id",
"person_1"."location_id"FROM"person"AS"person_1"WHERE
(1930<="person_1"."year_of_birth") AND
("person_1"."year_of_birth"<=1940)
) AS"person_2"JOIN (
SELECT"location_1"."location_id"FROM"location"AS"location_1"WHERE ("location_1"."state"='IL')
) AS"location_2"ON ("person_2"."location_id"="location_2"."location_id")
LEFT JOIN (
SELECTmax("visit_occurrence_1"."visit_start_date") AS"max",
"visit_occurrence_1"."person_id"FROM"visit_occurrence"AS"visit_occurrence_1"GROUP BY"visit_occurrence_1"."person_id"
) AS"visit_group_1"ON ("person_2"."person_id"="visit_group_1"."person_id")

About

Julia library for compositional construction of SQL queries

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166 stars

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5 watching

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Packages

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Languages

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FunSQL.jl

FunSQL is a Julia library for compositional construction of SQL queries.

Stable DocumentationDevelopment DocumentationZulip ChatOpen IssuesBuild StatusCode Coverage StatusMIT LicenseDOI

Overview

Julia programmers sometimes need to interrogate data with the Structured Query Language (SQL). But SQL is notoriously hard to write in a modular fashion.

FunSQL exposes full expressive power of SQL with a compositional semantics. FunSQL allows you to build queries incrementally from small independent fragments. This approach is particularly useful for building applications that programmatically construct SQL queries.

If you want to learn more about FunSQL, read about Two Kinds of SQL Query Builders, watch presentations at OHDSI DevCon 2023 (slides) and JuliaCon 2021 (slides), explore the Examples, or go straight to the Usage Guide.

FunSQL | OHDSI DevCon 2023

FunSQL | JuliaCon 2021

Example

When was the last time each person born between 1930 and 1940 and living in Illinois was seen by a healthcare provider?

Database Schema

Pipeline Diagram

Julia Code
@funsqlbeginfrom(person)
filter(1930<= year_of_birth <=1940)
join(
from(location).filter(state =="IL").as(location),
on = location_id == location.location_id)
left_join(
from(visit_occurrence).group(person_id).as(visit_group),
on = person_id == visit_group.person_id)
select(
person_id,
latest_visit_date => visit_group.max(visit_start_date))
end
Generated SQL
SELECT"person_2"."person_id",
"visit_group_1"."max"AS"latest_visit_date"FROM (
SELECT"person_1"."person_id",
"person_1"."location_id"FROM"person"AS"person_1"WHERE
(1930<="person_1"."year_of_birth") AND
("person_1"."year_of_birth"<=1940)
) AS"person_2"JOIN (
SELECT"location_1"."location_id"FROM"location"AS"location_1"WHERE ("location_1"."state"='IL')
) AS"location_2"ON ("person_2"."location_id"="location_2"."location_id")
LEFT JOIN (
SELECTmax("visit_occurrence_1"."visit_start_date") AS"max",
"visit_occurrence_1"."person_id"FROM"visit_occurrence"AS"visit_occurrence_1"GROUP BY"visit_occurrence_1"."person_id"
) AS"visit_group_1"ON ("person_2"."person_id"="visit_group_1"."person_id")

About

Julia library for compositional construction of SQL queries

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Resources

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166 stars

Watchers

5 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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FunSQL.jl

FunSQL is a Julia library for compositional construction of SQL queries.

Stable DocumentationDevelopment DocumentationZulip ChatOpen IssuesBuild StatusCode Coverage StatusMIT LicenseDOI

Overview

Julia programmers sometimes need to interrogate data with the Structured Query Language (SQL). But SQL is notoriously hard to write in a modular fashion.

FunSQL exposes full expressive power of SQL with a compositional semantics. FunSQL allows you to build queries incrementally from small independent fragments. This approach is particularly useful for building applications that programmatically construct SQL queries.

If you want to learn more about FunSQL, read about Two Kinds of SQL Query Builders, watch presentations at OHDSI DevCon 2023 (slides) and JuliaCon 2021 (slides), explore the Examples, or go straight to the Usage Guide.

FunSQL | OHDSI DevCon 2023

FunSQL | JuliaCon 2021

Example

When was the last time each person born between 1930 and 1940 and living in Illinois was seen by a healthcare provider?

Database Schema

Pipeline Diagram

Julia Code
@funsqlbeginfrom(person)
filter(1930<= year_of_birth <=1940)
join(
from(location).filter(state =="IL").as(location),
on = location_id == location.location_id)
left_join(
from(visit_occurrence).group(person_id).as(visit_group),
on = person_id == visit_group.person_id)
select(
person_id,
latest_visit_date => visit_group.max(visit_start_date))
end
Generated SQL
SELECT"person_2"."person_id",
"visit_group_1"."max"AS"latest_visit_date"FROM (
SELECT"person_1"."person_id",
"person_1"."location_id"FROM"person"AS"person_1"WHERE
(1930<="person_1"."year_of_birth") AND
("person_1"."year_of_birth"<=1940)
) AS"person_2"JOIN (
SELECT"location_1"."location_id"FROM"location"AS"location_1"WHERE ("location_1"."state"='IL')
) AS"location_2"ON ("person_2"."location_id"="location_2"."location_id")
LEFT JOIN (
SELECTmax("visit_occurrence_1"."visit_start_date") AS"max",
"visit_occurrence_1"."person_id"FROM"visit_occurrence"AS"visit_occurrence_1"GROUP BY"visit_occurrence_1"."person_id"
) AS"visit_group_1"ON ("person_2"."person_id"="visit_group_1"."person_id")

About

Julia library for compositional construction of SQL queries

Topics

Resources

Stars

166 stars

Watchers

5 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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FunSQL.jl

FunSQL is a Julia library for compositional construction of SQL queries.

Stable DocumentationDevelopment DocumentationZulip ChatOpen IssuesBuild StatusCode Coverage StatusMIT LicenseDOI

Overview

Julia programmers sometimes need to interrogate data with the Structured Query Language (SQL). But SQL is notoriously hard to write in a modular fashion.

FunSQL exposes full expressive power of SQL with a compositional semantics. FunSQL allows you to build queries incrementally from small independent fragments. This approach is particularly useful for building applications that programmatically construct SQL queries.

If you want to learn more about FunSQL, read about Two Kinds of SQL Query Builders, watch presentations at OHDSI DevCon 2023 (slides) and JuliaCon 2021 (slides), explore the Examples, or go straight to the Usage Guide.

FunSQL | OHDSI DevCon 2023

FunSQL | JuliaCon 2021

Example

When was the last time each person born between 1930 and 1940 and living in Illinois was seen by a healthcare provider?

Database Schema

Pipeline Diagram

Julia Code
@funsqlbeginfrom(person)
filter(1930<= year_of_birth <=1940)
join(
from(location).filter(state =="IL").as(location),
on = location_id == location.location_id)
left_join(
from(visit_occurrence).group(person_id).as(visit_group),
on = person_id == visit_group.person_id)
select(
person_id,
latest_visit_date => visit_group.max(visit_start_date))
end
Generated SQL
SELECT"person_2"."person_id",
"visit_group_1"."max"AS"latest_visit_date"FROM (
SELECT"person_1"."person_id",
"person_1"."location_id"FROM"person"AS"person_1"WHERE
(1930<="person_1"."year_of_birth") AND
("person_1"."year_of_birth"<=1940)
) AS"person_2"JOIN (
SELECT"location_1"."location_id"FROM"location"AS"location_1"WHERE ("location_1"."state"='IL')
) AS"location_2"ON ("person_2"."location_id"="location_2"."location_id")
LEFT JOIN (
SELECTmax("visit_occurrence_1"."visit_start_date") AS"max",
"visit_occurrence_1"."person_id"FROM"visit_occurrence"AS"visit_occurrence_1"GROUP BY"visit_occurrence_1"."person_id"
) AS"visit_group_1"ON ("person_2"."person_id"="visit_group_1"."person_id")

About

Julia library for compositional construction of SQL queries

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Resources

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166 stars

Watchers

5 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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FunSQL.jl

FunSQL is a Julia library for compositional construction of SQL queries.

Stable DocumentationDevelopment DocumentationZulip ChatOpen IssuesBuild StatusCode Coverage StatusMIT LicenseDOI

Overview

Julia programmers sometimes need to interrogate data with the Structured Query Language (SQL). But SQL is notoriously hard to write in a modular fashion.

FunSQL exposes full expressive power of SQL with a compositional semantics. FunSQL allows you to build queries incrementally from small independent fragments. This approach is particularly useful for building applications that programmatically construct SQL queries.

If you want to learn more about FunSQL, read about Two Kinds of SQL Query Builders, watch presentations at OHDSI DevCon 2023 (slides) and JuliaCon 2021 (slides), explore the Examples, or go straight to the Usage Guide.

FunSQL | OHDSI DevCon 2023

FunSQL | JuliaCon 2021

Example

When was the last time each person born between 1930 and 1940 and living in Illinois was seen by a healthcare provider?

Database Schema

Pipeline Diagram

Julia Code
@funsqlbeginfrom(person)
filter(1930<= year_of_birth <=1940)
join(
from(location).filter(state =="IL").as(location),
on = location_id == location.location_id)
left_join(
from(visit_occurrence).group(person_id).as(visit_group),
on = person_id == visit_group.person_id)
select(
person_id,
latest_visit_date => visit_group.max(visit_start_date))
end
Generated SQL
SELECT"person_2"."person_id",
"visit_group_1"."max"AS"latest_visit_date"FROM (
SELECT"person_1"."person_id",
"person_1"."location_id"FROM"person"AS"person_1"WHERE
(1930<="person_1"."year_of_birth") AND
("person_1"."year_of_birth"<=1940)
) AS"person_2"JOIN (
SELECT"location_1"."location_id"FROM"location"AS"location_1"WHERE ("location_1"."state"='IL')
) AS"location_2"ON ("person_2"."location_id"="location_2"."location_id")
LEFT JOIN (
SELECTmax("visit_occurrence_1"."visit_start_date") AS"max",
"visit_occurrence_1"."person_id"FROM"visit_occurrence"AS"visit_occurrence_1"GROUP BY"visit_occurrence_1"."person_id"
) AS"visit_group_1"ON ("person_2"."person_id"="visit_group_1"."person_id")

About

Julia library for compositional construction of SQL queries

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166 stars

Watchers

5 watching

Forks

Releases

Packages

Used by

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FunSQL.jl

FunSQL is a Julia library for compositional construction of SQL queries.

Stable DocumentationDevelopment DocumentationZulip ChatOpen IssuesBuild StatusCode Coverage StatusMIT LicenseDOI

Overview

Julia programmers sometimes need to interrogate data with the Structured Query Language (SQL). But SQL is notoriously hard to write in a modular fashion.

FunSQL exposes full expressive power of SQL with a compositional semantics. FunSQL allows you to build queries incrementally from small independent fragments. This approach is particularly useful for building applications that programmatically construct SQL queries.

If you want to learn more about FunSQL, read about Two Kinds of SQL Query Builders, watch presentations at OHDSI DevCon 2023 (slides) and JuliaCon 2021 (slides), explore the Examples, or go straight to the Usage Guide.

FunSQL | OHDSI DevCon 2023

FunSQL | JuliaCon 2021

Example

When was the last time each person born between 1930 and 1940 and living in Illinois was seen by a healthcare provider?

Database Schema

Pipeline Diagram

Julia Code
@funsqlbeginfrom(person)
filter(1930<= year_of_birth <=1940)
join(
from(location).filter(state =="IL").as(location),
on = location_id == location.location_id)
left_join(
from(visit_occurrence).group(person_id).as(visit_group),
on = person_id == visit_group.person_id)
select(
person_id,
latest_visit_date => visit_group.max(visit_start_date))
end
Generated SQL
SELECT"person_2"."person_id",
"visit_group_1"."max"AS"latest_visit_date"FROM (
SELECT"person_1"."person_id",
"person_1"."location_id"FROM"person"AS"person_1"WHERE
(1930<="person_1"."year_of_birth") AND
("person_1"."year_of_birth"<=1940)
) AS"person_2"JOIN (
SELECT"location_1"."location_id"FROM"location"AS"location_1"WHERE ("location_1"."state"='IL')
) AS"location_2"ON ("person_2"."location_id"="location_2"."location_id")
LEFT JOIN (
SELECTmax("visit_occurrence_1"."visit_start_date") AS"max",
"visit_occurrence_1"."person_id"FROM"visit_occurrence"AS"visit_occurrence_1"GROUP BY"visit_occurrence_1"."person_id"
) AS"visit_group_1"ON ("person_2"."person_id"="visit_group_1"."person_id")

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Julia library for compositional construction of SQL queries

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