mirror of
https://github.com/lana-k/sqliteviz.git
synced 2025-12-06 10:08:52 +08:00
5017b55944
- Pivot support implementation - Rename queries into inquiries - Rename editor into workspace - Change result set format - New JSON format for inquiries - Redesign panels
300 lines
8.5 KiB
JavaScript
300 lines
8.5 KiB
JavaScript
import chai from 'chai'
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import database from '@/lib/database'
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const expect = chai.expect
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describe('SQLite extensions', function () {
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let db
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beforeEach(() => {
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db = database.getNewDatabase()
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})
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afterEach(() => {
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db.shutDown()
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})
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it('supports contrib trigonometric functions', async function () {
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const actual = await db.execute(`
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SELECT
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abs(3.1415926 - pi()) < 0.000001,
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abs(1 - cos(2 * pi())) < 0.000001,
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abs(0 - sin(pi())) < 0.000001,
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abs(0 - tan(0)) < 0.000001,
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abs(0 - cot(pi() / 2)) < 0.000001,
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abs(1 - acos(cos(1))) < 0.000001,
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abs(1 - asin(sin(1))) < 0.000001,
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abs(1 - atan(tan(1))) < 0.000001,
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abs(1 - cosh(0)) < 0.000001,
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abs(0 - sinh(0)) < 0.000001,
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abs(tanh(1) + tanh(-1)) < 0.000001,
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abs(coth(1) + coth(-1)) < 0.000001,
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abs(1 - acosh(cosh(1))) < 0.000001,
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abs(1 - asinh(sinh(1))) < 0.000001,
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abs(1 - atanh(tanh(1))) < 0.000001,
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abs(180 - degrees(pi())) < 0.000001,
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abs(pi() - radians(180)) < 0.000001,
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abs(pi() / 2 - atan2(1, 0)) < 0.000001
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`)
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expect(actual).to.eql({
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'abs(3.1415926 - pi()) < 0.000001': [1],
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'abs(1 - cos(2 * pi())) < 0.000001': [1],
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'abs(0 - sin(pi())) < 0.000001': [1],
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'abs(0 - tan(0)) < 0.000001': [1],
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'abs(0 - cot(pi() / 2)) < 0.000001': [1],
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'abs(1 - acos(cos(1))) < 0.000001': [1],
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'abs(1 - asin(sin(1))) < 0.000001': [1],
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'abs(1 - atan(tan(1))) < 0.000001': [1],
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'abs(1 - cosh(0)) < 0.000001': [1],
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'abs(0 - sinh(0)) < 0.000001': [1],
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'abs(tanh(1) + tanh(-1)) < 0.000001': [1],
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'abs(coth(1) + coth(-1)) < 0.000001': [1],
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'abs(1 - acosh(cosh(1))) < 0.000001': [1],
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'abs(1 - asinh(sinh(1))) < 0.000001': [1],
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'abs(1 - atanh(tanh(1))) < 0.000001': [1],
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'abs(180 - degrees(pi())) < 0.000001': [1],
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'abs(pi() - radians(180)) < 0.000001': [1],
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'abs(pi() / 2 - atan2(1, 0)) < 0.000001': [1]
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})
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})
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it('supports contrib math functions', async function () {
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const actual = await db.execute(`
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SELECT
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exp(0),
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log(exp(1)),
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log10(10000),
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power(2, 3),
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sign(-10) + sign(20),
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sqrt(square(16)),
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ceil(-1.95) + ceil(1.95),
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floor(-1.95) + floor(1.95)
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`)
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expect(actual).to.eql({
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'exp(0)': [1],
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'log(exp(1))': [1],
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'log10(10000)': [4],
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'power(2, 3)': [8],
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'sign(-10) + sign(20)': [0],
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'sqrt(square(16))': [16],
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'ceil(-1.95) + ceil(1.95)': [1],
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'floor(-1.95) + floor(1.95)': [-1]
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})
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})
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it('supports contrib string functions', async function () {
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const actual = await db.execute(`
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SELECT
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replicate('ab', 4),
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charindex('ab', 'foobarabbarfoo'),
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charindex('ab', 'foobarabbarfoo', 8),
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leftstr('foobar', 2),
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rightstr('foobar', 2),
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reverse('foobar'),
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proper('fooBar'),
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padl('foo', 5),
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padr('foo', 5),
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padc('foo', 5),
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strfilter('abcba', 'bc')
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`)
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expect(actual).to.eql({
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"replicate('ab', 4)": ['abababab'],
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"charindex('ab', 'foobarabbarfoo')": [7],
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"charindex('ab', 'foobarabbarfoo', 8)": [0],
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"leftstr('foobar', 2)": ['fo'],
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"rightstr('foobar', 2)": ['ar'],
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"reverse('foobar')": ['raboof'],
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"proper('fooBar')": ['Foobar'],
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"padl('foo', 5)": [' foo'],
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"padr('foo', 5)": ['foo '],
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"padc('foo', 5)": [' foo '],
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"strfilter('abcba', 'bc')": ['bcb']
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})
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})
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it('supports contrib aggregate functions', async function () {
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const actual = await db.execute(`
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WITH RECURSIVE series(x) AS (
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SELECT 1
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UNION ALL
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SELECT x + 1
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FROM series
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WHERE x + 1 <= 12
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)
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SELECT
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abs( 3.77406806 - stdev(x)) < 0.000001,
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abs(14.24358974 - variance(x)) < 0.000001,
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mode(x),
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median(x),
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lower_quartile(x),
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upper_quartile(x)
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FROM (
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SELECT x
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FROM series
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UNION ALL
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VALUES (1)
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)
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`)
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expect(actual).to.eql({
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'abs( 3.77406806 - stdev(x)) < 0.000001': [1],
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'abs(14.24358974 - variance(x)) < 0.000001': [1],
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'mode(x)': [1],
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'median(x)': [6],
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'lower_quartile(x)': [3],
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'upper_quartile(x)': [9]
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})
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})
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it('supports generate_series', async function () {
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const actual = await db.execute(`
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SELECT value
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FROM generate_series(5, 20, 5)
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`)
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expect(actual).to.eql({
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value: [5, 10, 15, 20]
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})
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})
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it('supports transitive_closure', async function () {
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const actual = await db.execute(`
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CREATE TABLE node(
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node_id INTEGER NOT NULL PRIMARY KEY,
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parent_id INTEGER,
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name VARCHAR(127),
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FOREIGN KEY (parent_id) REFERENCES node(node_id)
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);
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CREATE INDEX node_parent_id_idx ON node(parent_id);
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CREATE VIRTUAL TABLE node_closure USING transitive_closure(
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tablename = "node",
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idcolumn = "node_id",
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parentcolumn = "parent_id"
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);
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INSERT INTO node VALUES
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(1, NULL, 'tests'),
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(2, 1, 'lib'),
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(3, 2, 'database'),
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(4, 2, 'utils'),
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(5, 2, 'storedQueries.spec.js'),
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(6, 3, '_sql.spec.js'),
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(7, 3, '_statements.spec.js'),
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(8, 3, 'database.spec.js'),
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(9, 3, 'sqliteExtensions.spec.js'),
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(10, 4, 'fileIo.spec.js'),
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(11, 4, 'time.spec.js');
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SELECT name
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FROM node
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WHERE node_id IN (
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SELECT nc.id
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FROM node_closure AS nc
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WHERE nc.root = 2 AND nc.depth = 2
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);
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`)
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expect(actual).to.eql({
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name: [
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'_sql.spec.js',
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'_statements.spec.js',
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'database.spec.js',
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'sqliteExtensions.spec.js',
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'fileIo.spec.js',
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'time.spec.js'
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]
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})
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})
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it('supports UUID functions', async function () {
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const actual = await db.execute(`
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SELECT
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length(uuid()) as length,
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uuid_str(uuid_blob('26a8349c8a7f4cbeb519bf792c3d7ac6')) as uid
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`)
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expect(actual).to.eql({
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length: [36],
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uid: ['26a8349c-8a7f-4cbe-b519-bf792c3d7ac6']
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})
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})
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it('supports regexp', async function () {
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const actual = await db.execute(`
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SELECT
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regexp('=\\s?\\d+', 'const foo = 123; const bar = "bar"') as one,
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regexpi('=\\s?\\d+', 'const foo = 123; const bar = "bar"') as two,
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'const foo = 123; const bar = "bar"' REGEXP '=\\s?\\d+' as three
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`)
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expect(actual).to.eql({
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one: [1],
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two: [1],
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three: [1]
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})
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})
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it('supports pivot virtual table', async function () {
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const actual = await db.execute(`
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CREATE TABLE point(x REAL, y REAL, z REAL);
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INSERT INTO point VALUES
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(5,3,3.2), (5,6,4.3), (5,9,5.4),
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(10,3,4), (10,6,3.8), (10,9,3.6),
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(15,3,4.8), (15,6,4), (15,9,3.5);
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CREATE VIRTUAL TABLE pivot USING pivot_vtab(
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(SELECT y FROM point GROUP BY y),
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(SELECT x, x FROM point GROUP BY x),
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(SELECT z FROM point WHERE y = :y AND x = :x)
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);
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CREATE TEMPORARY TABLE surface AS
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SELECT xt.x, p.*
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FROM (
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SELECT row_number() OVER () rownum, *
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FROM pivot
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) p
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JOIN (
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SELECT row_number() OVER () rownum, x
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FROM point
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GROUP BY x
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) xt USING(rownum);
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ALTER TABLE surface DROP COLUMN rownum;
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SELECT * FROM surface;
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`)
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expect(actual).to.eql({
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x: [5, 10, 15],
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y: [3, 6, 9],
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'5.0': [3.2, 4.3, 5.4],
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'10.0': [4, 3.8, 3.6],
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'15.0': [4.8, 4, 3.5]
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})
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})
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it('supports FTS5', async function () {
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const actual = await db.execute(`
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CREATE VIRTUAL TABLE email USING fts5(sender, title, body, tokenize = 'porter ascii');
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INSERT INTO email VALUES
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(
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'foo@localhost',
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'fts3/4',
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'FTS3 and FTS4 are SQLite virtual table modules that allows users to perform '
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|| 'full-text searches on a set of documents.'
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),
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(
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'bar@localhost',
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'fts4',
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'FTS5 is an SQLite virtual table module that provides full-text search '
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|| 'functionality to database applications.'
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);
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SELECT sender
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FROM email
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WHERE body MATCH '"full-text" NOT document'
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ORDER BY rank;
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`)
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expect(actual).to.eql({
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sender: ['bar@localhost']
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})
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})
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})
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