Britten-Norman BN2A-26 ISLANDER

duckdb -csv -c "SELECT d.ad_number, d.status, d.subject, d.effective_date
  FROM 'https://openairdocs.org/data/latest/faa_directive.parquet' d
  WHERE d.ad_id IN (SELECT ad_id FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_directive.parquet' WHERE aircraft_model_code IN ('1520226'))
  ORDER BY coalesce(d.effective_date, d.publication_date, d.issue_date) DESC, d.ad_number DESC"

Prints the whole list as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

SELECT d.ad_number, d.status, d.subject, d.effective_date
FROM 'https://openairdocs.org/data/latest/faa_directive.parquet' d
WHERE d.ad_id IN (SELECT ad_id FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_directive.parquet' WHERE aircraft_model_code IN ('1520226'))
ORDER BY coalesce(d.effective_date, d.publication_date, d.issue_date) DESC, d.ad_number DESC

Run it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.

duckdb -csv -c "SELECT s.saib_number, any_value(s.title) AS title, max(s.issue_date) AS issue_date, any_value(s.status) AS status
  FROM 'https://openairdocs.org/data/latest/faa_saib.parquet' s
  WHERE s.saib_id IN (SELECT saib_id FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_saib.parquet' WHERE aircraft_model_code IN ('1520226'))
  GROUP BY s.saib_number ORDER BY issue_date DESC"

Prints the whole list as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

SELECT s.saib_number, any_value(s.title) AS title, max(s.issue_date) AS issue_date, any_value(s.status) AS status
FROM 'https://openairdocs.org/data/latest/faa_saib.parquet' s
WHERE s.saib_id IN (SELECT saib_id FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_saib.parquet' WHERE aircraft_model_code IN ('1520226'))
GROUP BY s.saib_number ORDER BY issue_date DESC

Run it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.

duckdb -csv -c "SELECT n_number, serial_number, year_manufactured, status, registrant_name, registrant_city, registrant_state
  FROM 'https://openairdocs.org/data/latest/faa_aircraft_registration.parquet'
  WHERE aircraft_model_code IN ('1520226')
  ORDER BY n_number"

Prints the whole list as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

SELECT n_number, serial_number, year_manufactured, status, registrant_name, registrant_city, registrant_state
FROM 'https://openairdocs.org/data/latest/faa_aircraft_registration.parquet'
WHERE aircraft_model_code IN ('1520226')
ORDER BY n_number

Run it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.

duckdb -csv -c "SELECT c.\"ntsbNumber\", c.\"eventDate\", c.\"eventType\", c.\"eventCity\", c.\"eventStateOrRegion\", a.n_number, a.\"aircraftMake\", a.\"aircraftModel\", c.\"highestInjuryLevel\", c.\"totalFatal\", c.\"completionStatus\", c.report_url
  FROM 'https://openairdocs.org/data/latest/ntsb_aircrafts.parquet' a JOIN 'https://openairdocs.org/data/latest/ntsb_case_detail.parquet' c ON c.\"mKey\" = a.case_mkey
  WHERE a.aircraft_model_code IN ('1520226')
  ORDER BY c.\"eventDate\" DESC, c.\"ntsbNumber\" DESC"

Prints the whole list as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

SELECT c."ntsbNumber", c."eventDate", c."eventType", c."eventCity", c."eventStateOrRegion", a.n_number, a."aircraftMake", a."aircraftModel", c."highestInjuryLevel", c."totalFatal", c."completionStatus", c.report_url
FROM 'https://openairdocs.org/data/latest/ntsb_aircrafts.parquet' a JOIN 'https://openairdocs.org/data/latest/ntsb_case_detail.parquet' c ON c."mKey" = a.case_mkey
WHERE a.aircraft_model_code IN ('1520226')
ORDER BY c."eventDate" DESC, c."ntsbNumber" DESC

Run it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.

duckdb -csv -c "SELECT report_number, event_date, event_type, city, state, aircraft_make, aircraft_model, aircraft_damage, fatal_injuries, n_number
  FROM 'https://openairdocs.org/data/latest/faa_incident_report.parquet'
  WHERE aircraft_model_code IN ('1520226')
  ORDER BY event_date DESC, report_number DESC"

Prints the whole list as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

SELECT report_number, event_date, event_type, city, state, aircraft_make, aircraft_model, aircraft_damage, fatal_injuries, n_number
FROM 'https://openairdocs.org/data/latest/faa_incident_report.parquet'
WHERE aircraft_model_code IN ('1520226')
ORDER BY event_date DESC, report_number DESC

Run it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.

duckdb -csv -c "SELECT s.stc_number, s.description, s.holder, s.status, s.status_date, m.matched_model
  FROM (
    SELECT stc_number, min(matched_model) AS matched_model
    FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_stc.parquet'
    WHERE aircraft_model_code IN ('1520226')
    GROUP BY stc_number
  ) m JOIN 'https://openairdocs.org/data/latest/faa_stc.parquet' s USING (stc_number)
  ORDER BY s.status = 'Current' DESC, s.status_date DESC, s.stc_number"

Prints the whole list as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

SELECT s.stc_number, s.description, s.holder, s.status, s.status_date, m.matched_model
FROM (
  SELECT stc_number, min(matched_model) AS matched_model
  FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_stc.parquet'
  WHERE aircraft_model_code IN ('1520226')
  GROUP BY stc_number
) m JOIN 'https://openairdocs.org/data/latest/faa_stc.parquet' s USING (stc_number)
ORDER BY s.status = 'Current' DESC, s.status_date DESC, s.stc_number

Run it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.

duckdb -csv -c "SELECT drs_guid, part_number, part_name, holder, pma_number, replaces_part, supplement_date, tcds_models
  FROM 'https://openairdocs.org/data/latest/faa_type_certificate_pma.parquet'
  WHERE tcds_number IN ('A17EU')
    AND len(list_intersect(tcds_models, ['BN-2A-26'])) > 0
  ORDER BY supplement_date DESC, drs_guid DESC"

Prints the whole list as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

SELECT drs_guid, part_number, part_name, holder, pma_number, replaces_part, supplement_date, tcds_models
FROM 'https://openairdocs.org/data/latest/faa_type_certificate_pma.parquet'
WHERE tcds_number IN ('A17EU')
  AND len(list_intersect(tcds_models, ['BN-2A-26'])) > 0
ORDER BY supplement_date DESC, drs_guid DESC

Run it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.

duckdb -csv -c "SELECT m.code, m.manufacturer, m.model, count(g.n_number) AS aircraft
  FROM 'https://openairdocs.org/data/latest/faa_aircraft_model.parquet' m LEFT JOIN 'https://openairdocs.org/data/latest/faa_aircraft_registration.parquet' g ON g.aircraft_model_code = m.code
  WHERE m.match_key = 'BN2A26' AND m.code NOT IN ('1520226')
  GROUP BY ALL
  ORDER BY aircraft DESC
  LIMIT 12"

Prints the whole list as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

SELECT m.code, m.manufacturer, m.model, count(g.n_number) AS aircraft
FROM 'https://openairdocs.org/data/latest/faa_aircraft_model.parquet' m LEFT JOIN 'https://openairdocs.org/data/latest/faa_aircraft_registration.parquet' g ON g.aircraft_model_code = m.code
WHERE m.match_key = 'BN2A26' AND m.code NOT IN ('1520226')
GROUP BY ALL
ORDER BY aircraft DESC
LIMIT 12

Run it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.