home / cp40x

names

5 rows where case_id = 1995103

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: role, surname, forename, occupation, seq

id ▼ case_id role surname forename occupation place_id raw_segment seq
3914224 1995103 1995103 plaintiff Butler John haberdasher or leather seller 585869 585869 Butler, John, of London, haberdasher or leather seller 0
3914225 1995103 1995103 defendant Leveret Henry mercer 586963 586963 Leveret, Henry, of Grantham, Lincs, mercer 0
3914226 1995103 1995103 defendant Leveret Simon draper 587205 587205 Leveret, Simon, of Grantham, draper 1
3914227 1995103 1995103 defendant Thomas Lewis mercer 650839 650839 Thomas, Lewis, of Harvard West, mercer 2
3914228 1995103 1995103 defendant Mathew John fishmonger 650841 650841 Mathew, John, of Ewsam, Worcs, fishmonger 3

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE names (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    case_id INTEGER NOT NULL REFERENCES cases(id) ON DELETE CASCADE,
    role TEXT NOT NULL CHECK (role IN ('plaintiff', 'defendant')),
    surname TEXT NOT NULL,
    forename TEXT,
    occupation TEXT,
    place_id INTEGER REFERENCES places(id),
    raw_segment TEXT NOT NULL,
    seq INTEGER NOT NULL DEFAULT 0
);
CREATE INDEX idx_names_case_id ON names(case_id);
CREATE INDEX idx_names_surname ON names(surname);
CREATE INDEX idx_names_place_id ON names(place_id);
CREATE INDEX idx_names_role_surname ON names(role, surname);
Powered by Datasette · Queries took 13.025ms