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add drivers tests
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‎packages/cubejs-testing-drivers/src/tests/testQueries.ts‎

Lines changed: 147 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1579,7 +1579,7 @@ export function testQueries(type: string, { includeIncrementalSchemaSuite, exten
15791579
expect(response.rawData()).toMatchSnapshot();
15801580
});
15811581

1582-
execute('querying BigECommerce: rolling window YTD', async () => {
1582+
execute('querying BigECommerce: rolling window YTD (month)', async () => {
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const response = await client.load({
15841584
measures: [
15851585
'BigECommerce.rollingCountYTD',
@@ -1589,6 +1589,107 @@ export function testQueries(type: string, { includeIncrementalSchemaSuite, exten
15891589
granularity: 'month',
15901590
dateRange: ['2020-01-01', '2020-12-31'],
15911591
}],
1592+
order: [
1593+
['BigECommerce.orderDate', 'asc'],
1594+
],
1595+
});
1596+
expect(response.rawData()).toMatchSnapshot();
1597+
});
1598+
1599+
execute('querying BigECommerce: rolling window YTD (month + week)', async () => {
1600+
const response = await client.load({
1601+
measures: [
1602+
'BigECommerce.rollingCountYTD',
1603+
],
1604+
timeDimensions: [{
1605+
dimension: 'BigECommerce.orderDate',
1606+
granularity: 'month',
1607+
dateRange: ['2020-01-01', '2020-12-31'],
1608+
}, {
1609+
dimension: 'BigECommerce.orderDate',
1610+
granularity: 'week',
1611+
dateRange: ['2020-01-01', '2020-12-31'],
1612+
}],
1613+
order: [
1614+
['BigECommerce.orderDate', 'asc'],
1615+
],
1616+
});
1617+
expect(response.rawData()).toMatchSnapshot();
1618+
});
1619+
1620+
execute('querying BigECommerce: rolling window YTD (month + week + no gran)', async () => {
1621+
const response = await client.load({
1622+
measures: [
1623+
'BigECommerce.rollingCountYTD',
1624+
],
1625+
timeDimensions: [{
1626+
dimension: 'BigECommerce.orderDate',
1627+
granularity: 'month',
1628+
dateRange: ['2020-01-01', '2020-12-31'],
1629+
}, {
1630+
dimension: 'BigECommerce.orderDate',
1631+
granularity: 'week',
1632+
dateRange: ['2020-01-01', '2020-12-31'],
1633+
}, {
1634+
dimension: 'BigECommerce.orderDate',
1635+
dateRange: ['2020-01-01', '2020-12-31'],
1636+
}],
1637+
order: [
1638+
['BigECommerce.orderDate', 'asc'],
1639+
],
1640+
});
1641+
expect(response.rawData()).toMatchSnapshot();
1642+
});
1643+
1644+
execute('querying BigECommerce: rolling window YTD (month + week + day)', async () => {
1645+
const response = await client.load({
1646+
measures: [
1647+
'BigECommerce.rollingCountYTD',
1648+
],
1649+
timeDimensions: [{
1650+
dimension: 'BigECommerce.orderDate',
1651+
granularity: 'month',
1652+
dateRange: ['2020-01-01', '2020-03-01'],
1653+
}, {
1654+
dimension: 'BigECommerce.orderDate',
1655+
granularity: 'week',
1656+
dateRange: ['2020-01-01', '2020-03-01'],
1657+
}, {
1658+
dimension: 'BigECommerce.orderDate',
1659+
granularity: 'day',
1660+
dateRange: ['2020-01-01', '2020-03-01'],
1661+
}],
1662+
order: [
1663+
['BigECommerce.orderDate', 'asc'],
1664+
],
1665+
});
1666+
expect(response.rawData()).toMatchSnapshot();
1667+
});
1668+
1669+
execute('querying BigECommerce: rolling window YTD (month + week + day + no gran)', async () => {
1670+
const response = await client.load({
1671+
measures: [
1672+
'BigECommerce.rollingCountYTD',
1673+
],
1674+
timeDimensions: [{
1675+
dimension: 'BigECommerce.orderDate',
1676+
granularity: 'month',
1677+
dateRange: ['2020-01-01', '2020-03-01'],
1678+
}, {
1679+
dimension: 'BigECommerce.orderDate',
1680+
granularity: 'week',
1681+
dateRange: ['2020-01-01', '2020-03-01'],
1682+
}, {
1683+
dimension: 'BigECommerce.orderDate',
1684+
granularity: 'day',
1685+
dateRange: ['2020-01-01', '2020-03-01'],
1686+
}, {
1687+
dimension: 'BigECommerce.orderDate',
1688+
dateRange: ['2020-01-01', '2020-03-01'],
1689+
}],
1690+
order: [
1691+
['BigECommerce.orderDate', 'asc'],
1692+
],
15921693
});
15931694
expect(response.rawData()).toMatchSnapshot();
15941695
});
@@ -1606,6 +1707,19 @@ export function testQueries(type: string, { includeIncrementalSchemaSuite, exten
16061707
expect(response.rawData()).toMatchSnapshot();
16071708
});
16081709

1710+
execute('querying BigECommerce: rolling window YTD without granularity', async () => {
1711+
const response = await client.load({
1712+
measures: [
1713+
'BigECommerce.rollingCountYTD',
1714+
],
1715+
timeDimensions: [{
1716+
dimension: 'BigECommerce.orderDate',
1717+
dateRange: ['2020-01-01', '2020-03-01'],
1718+
}],
1719+
});
1720+
expect(response.rawData()).toMatchSnapshot();
1721+
});
1722+
16091723
if (includeHLLSuite) {
16101724
execute('querying BigECommerce: rolling count_distinct_approx window by 2 day', async () => {
16111725
const response = await client.load({
@@ -2093,6 +2207,38 @@ from
20932207
expect(res.rows).toMatchSnapshot();
20942208
});
20952209

2210+
executePg('SQL API: Rolling Window YTD (year + month + day + date_trunc equal)', async (connection) => {
2211+
// It's important to use day granularity - it tests for ambiguous names
2212+
const res = await connection.query(`
2213+
SELECT
2214+
DATE_TRUNC('year', orderDate) AS "orderDateY",
2215+
DATE_TRUNC('month', orderDate) AS "orderDateM",
2216+
DATE_TRUNC('day', orderDate) AS "orderDateD",
2217+
MEASURE(rollingCountYTD) AS "rollingCountYTD"
2218+
FROM "BigECommerce"
2219+
WHERE DATE_TRUNC('year', orderDate) = CAST('2020-01-01' AS DATE)
2220+
GROUP BY 1, 2, 3
2221+
ORDER BY 3 ASC NULLS FIRST;
2222+
`);
2223+
expect(res.rows).toMatchSnapshot();
2224+
});
2225+
2226+
executePg('SQL API: Rolling Window YTD (year + month + day + date_trunc IN)', async (connection) => {
2227+
// It's important to use day granularity - it tests for ambiguous names
2228+
const res = await connection.query(`
2229+
SELECT
2230+
DATE_TRUNC('year', orderDate) AS "orderDateY",
2231+
DATE_TRUNC('month', orderDate) AS "orderDateM",
2232+
DATE_TRUNC('day', orderDate) AS "orderDateD",
2233+
MEASURE(rollingCountYTD) AS "rollingCountYTD"
2234+
FROM "BigECommerce"
2235+
WHERE DATE_TRUNC('year', orderDate) IN (CAST('2020-01-01' AS DATE))
2236+
GROUP BY 1, 2, 3
2237+
ORDER BY 3 ASC NULLS FIRST;
2238+
`);
2239+
expect(res.rows).toMatchSnapshot();
2240+
});
2241+
20962242
executePg('SQL API: SQL push down push to cube quoted alias', async (connection) => {
20972243
const res = await connection.query(`
20982244
SELECT

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