import chai from 'chai' import database from '@/lib/database' const expect = chai.expect describe('SQLite extensions', function () { let db beforeEach(() => { db = database.getNewDatabase() }) afterEach(() => { db.shutDown() }) it('supports contrib trigonometric functions', async function () { const actual = await db.execute(` SELECT abs(3.1415926 - pi()) < 0.000001, abs(1 - cos(2 * pi())) < 0.000001, abs(0 - sin(pi())) < 0.000001, abs(0 - tan(0)) < 0.000001, abs(0 - cot(pi() / 2)) < 0.000001, abs(1 - acos(cos(1))) < 0.000001, abs(1 - asin(sin(1))) < 0.000001, abs(1 - atan(tan(1))) < 0.000001, abs(1 - cosh(0)) < 0.000001, abs(0 - sinh(0)) < 0.000001, abs(tanh(1) + tanh(-1)) < 0.000001, abs(coth(1) + coth(-1)) < 0.000001, abs(1 - acosh(cosh(1))) < 0.000001, abs(1 - asinh(sinh(1))) < 0.000001, abs(1 - atanh(tanh(1))) < 0.000001, abs(180 - degrees(pi())) < 0.000001, abs(pi() - radians(180)) < 0.000001, abs(pi() / 2 - atan2(1, 0)) < 0.000001 `) expect(actual.values).to.eql([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]) }) it('supports contrib math functions', async function () { const actual = await db.execute(` SELECT exp(0), log(exp(1)), log10(10000), power(2, 3), sign(-10) + sign(20), sqrt(square(16)), ceil(-1.95) + ceil(1.95), floor(-1.95) + floor(1.95) `) expect(actual.values).to.eql([[1, 1, 4, 8, 0, 16, 1, -1]]) }) it('supports contrib string functions', async function () { const actual = await db.execute(` SELECT replicate('ab', 4), charindex('ab', 'foobarabbarfoo'), charindex('ab', 'foobarabbarfoo', 8), leftstr('foobar', 2), rightstr('foobar', 2), reverse('foobar'), proper('fooBar'), padl('foo', 5), padr('foo', 5), padc('foo', 5), strfilter('abcba', 'bc') `) expect(actual.values).to.eql([ ['abababab', 7, 0, 'fo', 'ar', 'raboof', 'Foobar', ' foo', 'foo ', ' foo ', 'bcb'] ]) }) it('supports contrib aggregate functions', async function () { const actual = await db.execute(` WITH RECURSIVE series(x) AS ( SELECT 1 UNION ALL SELECT x + 1 FROM series WHERE x + 1 <= 12 ) SELECT abs( 3.77406806 - stdev(x)) < 0.000001, abs(14.24358974 - variance(x)) < 0.000001, mode(x), median(x), lower_quartile(x), upper_quartile(x) FROM ( SELECT x FROM series UNION ALL VALUES (1) ) `) expect(actual.values).to.eql([[1, 1, 1, 6, 3, 9]]) }) it('supports generate_series', async function () { const actual = await db.execute(` SELECT value FROM generate_series(5, 20, 5) `) expect(actual.values).to.eql([[5], [10], [15], [20]]) }) it('supports transitive_closure', async function () { const actual = await db.execute(` CREATE TABLE node( node_id INTEGER NOT NULL PRIMARY KEY, parent_id INTEGER, name VARCHAR(127), FOREIGN KEY (parent_id) REFERENCES node(node_id) ); CREATE INDEX node_parent_id_idx ON node(parent_id); CREATE VIRTUAL TABLE node_closure USING transitive_closure( tablename = "node", idcolumn = "node_id", parentcolumn = "parent_id" ); INSERT INTO node VALUES (1, NULL, 'tests'), (2, 1, 'lib'), (3, 2, 'database'), (4, 2, 'utils'), (5, 2, 'storedQueries.spec.js'), (6, 3, '_sql.spec.js'), (7, 3, '_statements.spec.js'), (8, 3, 'database.spec.js'), (9, 3, 'sqliteExtensions.spec.js'), (10, 4, 'fileIo.spec.js'), (11, 4, 'time.spec.js'); SELECT name FROM node WHERE node_id IN ( SELECT nc.id FROM node_closure AS nc WHERE nc.root = 2 AND nc.depth = 2 ); `) expect(actual.values).to.eql([ ['_sql.spec.js'], ['_statements.spec.js'], ['database.spec.js'], ['sqliteExtensions.spec.js'], ['fileIo.spec.js'], ['time.spec.js'] ]) }) it('supports UUID functions', async function () { const actual = await db.execute(` SELECT length(uuid()), uuid_str(uuid_blob('26a8349c8a7f4cbeb519bf792c3d7ac6')) `) expect(actual.values).to.eql([[36, '26a8349c-8a7f-4cbe-b519-bf792c3d7ac6']]) }) it('supports regexp', async function () { const actual = await db.execute(` SELECT regexp('=\\s?\\d+', 'const foo = 123; const bar = "bar"'), regexpi('=\\s?\\d+', 'const foo = 123; const bar = "bar"'), 'const foo = 123; const bar = "bar"' REGEXP '=\\s?\\d+' `) expect(actual.values).to.eql([[1, 1, 1]]) }) it('supports pivot virtual table', async function () { const actual = await db.execute(` CREATE TABLE point(x REAL, y REAL, z REAL); INSERT INTO point VALUES (5,3,3.2), (5,6,4.3), (5,9,5.4), (10,3,4), (10,6,3.8), (10,9,3.6), (15,3,4.8), (15,6,4), (15,9,3.5); CREATE VIRTUAL TABLE pivot USING pivot_vtab( (SELECT y FROM point GROUP BY y), (SELECT x, x FROM point GROUP BY x), (SELECT z FROM point WHERE y = :y AND x = :x) ); CREATE TEMPORARY TABLE surface AS SELECT xt.x, p.* FROM ( SELECT row_number() OVER () rownum, * FROM pivot ) p JOIN ( SELECT row_number() OVER () rownum, x FROM point GROUP BY x ) xt USING(rownum); ALTER TABLE surface DROP COLUMN rownum; SELECT * FROM surface; `) expect(actual.columns).to.eql(['x', 'y', '5.0', '10.0', '15.0']) expect(actual.values).to.eql([ [5, 3, 3.2, 4, 4.8], [10, 6, 4.3, 3.8, 4], [15, 9, 5.4, 3.6, 3.5] ]) }) it('supports FTS5', async function () { const actual = await db.execute(` CREATE VIRTUAL TABLE email USING fts5(sender, title, body, tokenize = 'porter ascii'); INSERT INTO email VALUES ( 'foo@localhost', 'fts3/4', 'FTS3 and FTS4 are SQLite virtual table modules that allows users to perform ' || 'full-text searches on a set of documents.' ), ( 'bar@localhost', 'fts4', 'FTS5 is an SQLite virtual table module that provides full-text search ' || 'functionality to database applications.' ); SELECT sender FROM email WHERE body MATCH '"full-text" NOT document' ORDER BY rank; `) expect(actual.values).to.eql([['bar@localhost']]) }) })