// ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ // ┃ ██████ ██████ ██████ █ █ █ █ █ █▄ ▀███ █ ┃ // ┃ ▄▄▄▄▄█ █▄▄▄▄▄ ▄▄▄▄▄█ ▀▀▀▀▀█▀▀▀▀▀ █ ▀▀▀▀▀█ ████████▌▐███ ███▄ ▀█ █ ▀▀▀▀▀ ┃ // ┃ █▀▀▀▀▀ █▀▀▀▀▀ █▀██▀▀ ▄▄▄▄▄ █ ▄▄▄▄▄█ ▄▄▄▄▄█ ████████▌▐███ █████▄ █ ▄▄▄▄▄ ┃ // ┃ █ ██████ █ ▀█▄ █ ██████ █ ███▌▐███ ███████▄ █ ┃ // ┣━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┫ // ┃ Copyright (c) 2017, the Perspective Authors. ┃ // ┃ ╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌ ┃ // ┃ This file is part of the Perspective library, distributed under the terms ┃ // ┃ of the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). ┃ // ┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛ import { test, expect } from "@perspective-dev/test"; import { describeDuckDB } from "./setup.js"; describeDuckDB("group_by", (getClient) => { test("single group_by", async function () { const table = await getClient().open_table("memory.superstore"); const view = await table.view({ columns: ["Sales"], group_by: ["Region"], aggregates: { Sales: "sum" }, }); const numRows = await view.num_rows(); expect(numRows).toBe(5); const json = await view.to_json(); expect(json).toEqual([ { __ROW_PATH__: [], Sales: 2297200.860299955 }, { __ROW_PATH__: ["Central"], Sales: 501239.8908000005, }, { __ROW_PATH__: ["East"], Sales: 678781.2399999979 }, { __ROW_PATH__: ["South"], Sales: 391721.9050000003, }, { __ROW_PATH__: ["West"], Sales: 725457.8245000006 }, ]); await view.delete(); }); test("multi-level group_by", async function () { const table = await getClient().open_table("memory.superstore"); const view = await table.view({ columns: ["Sales"], group_by: ["Region", "Category"], aggregates: { Sales: "sum" }, }); const json = await view.to_json(); expect(json).toEqual([ { __ROW_PATH__: [], Sales: 2297200.860299955 }, { __ROW_PATH__: ["Central"], Sales: 501239.8908000005, }, { __ROW_PATH__: ["Central", "Furniture"], Sales: 163797.16380000004, }, { __ROW_PATH__: ["Central", "Office Supplies"], Sales: 167026.41500000027, }, { __ROW_PATH__: ["Central", "Technology"], Sales: 170416.3119999999, }, { __ROW_PATH__: ["East"], Sales: 678781.2399999979 }, { __ROW_PATH__: ["East", "Furniture"], Sales: 208291.20400000009, }, { __ROW_PATH__: ["East", "Office Supplies"], Sales: 205516.0549999999, }, { __ROW_PATH__: ["East", "Technology"], Sales: 264973.9810000003, }, { __ROW_PATH__: ["South"], Sales: 391721.9050000003, }, { __ROW_PATH__: ["South", "Furniture"], Sales: 117298.6840000001, }, { __ROW_PATH__: ["South", "Office Supplies"], Sales: 125651.31299999992, }, { __ROW_PATH__: ["South", "Technology"], Sales: 148771.9079999999, }, { __ROW_PATH__: ["West"], Sales: 725457.8245000006 }, { __ROW_PATH__: ["West", "Furniture"], Sales: 252612.7435000003, }, { __ROW_PATH__: ["West", "Office Supplies"], Sales: 220853.24900000007, }, { __ROW_PATH__: ["West", "Technology"], Sales: 251991.83199999997, }, ]); await view.delete(); }); test("group_by with count aggregate", async function () { const table = await getClient().open_table("memory.superstore"); const view = await table.view({ columns: ["Sales"], group_by: ["Region"], aggregates: { Sales: "count" }, }); const json = await view.to_json(); expect(json).toEqual([ { __ROW_PATH__: [], Sales: 9994 }, { __ROW_PATH__: ["Central"], Sales: 2323 }, { __ROW_PATH__: ["East"], Sales: 2848 }, { __ROW_PATH__: ["South"], Sales: 1620 }, { __ROW_PATH__: ["West"], Sales: 3203 }, ]); await view.delete(); }); test("group_by with avg aggregate", async function () { const table = await getClient().open_table("memory.superstore"); const view = await table.view({ columns: ["Sales"], group_by: ["Category"], aggregates: { Sales: "avg" }, }); const json = await view.to_json(); expect(json).toEqual([ { __ROW_PATH__: [], Sales: 229.8580008304938 }, { __ROW_PATH__: ["Furniture"], Sales: 349.83488698727007, }, { __ROW_PATH__: ["Office Supplies"], Sales: 119.32410089611732, }, { __ROW_PATH__: ["Technology"], Sales: 452.70927612344155, }, ]); await view.delete(); }); test("group_by with min aggregate", async function () { const table = await getClient().open_table("memory.superstore"); const view = await table.view({ columns: ["Quantity"], group_by: ["Region"], aggregates: { Quantity: "min" }, }); const json = await view.to_json(); expect(json).toEqual([ { __ROW_PATH__: [], Quantity: 1 }, { __ROW_PATH__: ["Central"], Quantity: 1 }, { __ROW_PATH__: ["East"], Quantity: 1 }, { __ROW_PATH__: ["South"], Quantity: 1 }, { __ROW_PATH__: ["West"], Quantity: 1 }, ]); await view.delete(); }); test("group_by with max aggregate", async function () { const table = await getClient().open_table("memory.superstore"); const view = await table.view({ columns: ["Quantity"], group_by: ["Region"], aggregates: { Quantity: "max" }, }); const json = await view.to_json(); expect(json).toEqual([ { __ROW_PATH__: [], Quantity: 14 }, { __ROW_PATH__: ["Central"], Quantity: 14 }, { __ROW_PATH__: ["East"], Quantity: 14 }, { __ROW_PATH__: ["South"], Quantity: 14 }, { __ROW_PATH__: ["West"], Quantity: 14 }, ]); await view.delete(); }); });