mirror of
https://github.com/lancedb/lancedb.git
synced 2026-06-01 11:20:44 +00:00
feat: reconfigure typescript linter / formatter for nodejs (#1042)
The eslint rules specify some formatting requirements that are rather strict and conflict with vscode's default formatter. I was unable to get auto-formatting to setup correctly. Also, eslint has quite recently [given up on formatting](https://eslint.org/blog/2023/10/deprecating-formatting-rules/) and recommends using a 3rd party formatter. This PR adds prettier as the formatter. It restores the eslint rules to their defaults. This does mean we now have the "no explicit any" check back on. I know that rule is pedantic but it did help me catch a few corner cases in type testing that weren't covered in the current code. Leaving in draft as this is dependent on other PRs.
This commit is contained in:
@@ -17,15 +17,21 @@ import * as path from "path";
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import * as tmp from "tmp";
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import { Table, connect } from "../dist";
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import { Schema, Field, Float32, Int32, FixedSizeList, Int64, Float64 } from "apache-arrow";
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import {
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Schema,
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Field,
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Float32,
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Int32,
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FixedSizeList,
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Int64,
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Float64,
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} from "apache-arrow";
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import { makeArrowTable } from "../dist/arrow";
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describe("Given a table", () => {
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let tmpDir: tmp.DirResult;
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let table: Table;
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const schema = new Schema([
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new Field("id", new Float64(), true),
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]);
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const schema = new Schema([new Field("id", new Float64(), true)]);
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beforeEach(async () => {
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tmpDir = tmp.dirSync({ unsafeCleanup: true });
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const conn = await connect(tmpDir.name);
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@@ -34,31 +40,32 @@ describe("Given a table", () => {
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afterEach(() => tmpDir.removeCallback());
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it("be displayable", async () => {
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expect(table.display()).toMatch(/NativeTable\(some_table, uri=.*, read_consistency_interval=None\)/);
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table.close()
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expect(table.display()).toBe("ClosedTable(some_table)")
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})
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expect(table.display()).toMatch(
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/NativeTable\(some_table, uri=.*, read_consistency_interval=None\)/,
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);
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table.close();
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expect(table.display()).toBe("ClosedTable(some_table)");
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});
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it("should let me add data", async () => {
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await table.add([{ id: 1 }, { id: 2 }]);
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await table.add([{ id: 1 }]);
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await expect(table.countRows()).resolves.toBe(3);
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})
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});
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it("should overwrite data if asked", async () => {
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await table.add([{ id: 1 }, { id: 2 }]);
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await table.add([{ id: 1 }], { mode: "overwrite" });
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await expect(table.countRows()).resolves.toBe(1);
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})
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});
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it("should let me close the table", async () => {
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expect(table.isOpen()).toBe(true);
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table.close();
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expect(table.isOpen()).toBe(false);
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expect(table.countRows()).rejects.toThrow("Table some_table is closed");
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})
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})
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});
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});
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describe("Test creating index", () => {
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let tmpDir: tmp.DirResult;
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@@ -85,7 +92,7 @@ describe("Test creating index", () => {
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})),
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{
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schema,
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}
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},
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);
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const tbl = await db.createTable("test", data);
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await tbl.createIndex().build();
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@@ -113,10 +120,10 @@ describe("Test creating index", () => {
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makeArrowTable([
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{ id: 1, val: 2 },
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{ id: 2, val: 3 },
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])
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]),
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);
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await expect(tbl.createIndex().build()).rejects.toThrow(
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"No vector column found"
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"No vector column found",
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);
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await tbl.createIndex("val").build();
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@@ -135,7 +142,7 @@ describe("Test creating index", () => {
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new Field("vec", new FixedSizeList(32, new Field("item", new Float32()))),
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new Field(
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"vec2",
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new FixedSizeList(64, new Field("item", new Float32()))
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new FixedSizeList(64, new Field("item", new Float32())),
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),
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]);
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const tbl = await db.createTable(
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@@ -152,13 +159,13 @@ describe("Test creating index", () => {
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.fill(1)
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.map(() => Math.random()),
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})),
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{ schema }
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)
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{ schema },
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),
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);
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// Only build index over v1
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await expect(tbl.createIndex().build()).rejects.toThrow(
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/.*More than one vector columns found.*/
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/.*More than one vector columns found.*/,
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);
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tbl
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.createIndex("vec")
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@@ -170,7 +177,7 @@ describe("Test creating index", () => {
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.nearestTo(
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Array(32)
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.fill(1)
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.map(() => Math.random())
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.map(() => Math.random()),
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)
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.limit(2)
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.toArrow();
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@@ -183,10 +190,10 @@ describe("Test creating index", () => {
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Array(64)
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.fill(1)
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.map(() => Math.random()),
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"vec"
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"vec",
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)
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.limit(2)
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.toArrow()
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.toArrow(),
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).rejects.toThrow(/.*does not match the dimension.*/);
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const query64 = Array(64)
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@@ -211,7 +218,7 @@ describe("Test creating index", () => {
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})),
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{
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schema,
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}
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},
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);
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const tbl = await db.createTable("test", data);
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await tbl.createIndex("id").build();
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@@ -224,7 +231,6 @@ describe("Test creating index", () => {
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});
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describe("Read consistency interval", () => {
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let tmpDir: tmp.DirResult;
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beforeEach(() => {
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tmpDir = tmp.dirSync({ unsafeCleanup: true });
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@@ -237,7 +243,9 @@ describe("Read consistency interval", () => {
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const db = await connect(tmpDir.name);
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const table = await db.createTable("my_table", [{ id: 1 }]);
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const db2 = await connect(tmpDir.name, { readConsistencyInterval: interval });
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const db2 = await connect(tmpDir.name, {
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readConsistencyInterval: interval,
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});
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const table2 = await db2.openTable("my_table");
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expect(await table2.countRows()).toEqual(await table.countRows());
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@@ -253,77 +261,89 @@ describe("Read consistency interval", () => {
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} else {
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// interval == 0.1
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expect(await table2.countRows()).toEqual(1);
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await new Promise(r => setTimeout(r, 100));
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await new Promise((r) => setTimeout(r, 100));
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expect(await table2.countRows()).toEqual(2);
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}
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});
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});
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describe('schema evolution', function () {
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describe("schema evolution", function () {
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let tmpDir: tmp.DirResult;
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beforeEach(() => {
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tmpDir = tmp.dirSync({ unsafeCleanup: true });
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});
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afterEach(() => {
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tmpDir.removeCallback();
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})
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});
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// Create a new sample table
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it('can add a new column to the schema', async function () {
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const con = await connect(tmpDir.name)
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const table = await con.createTable('vectors', [
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{ id: 1n, vector: [0.1, 0.2] }
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])
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it("can add a new column to the schema", async function () {
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const con = await connect(tmpDir.name);
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const table = await con.createTable("vectors", [
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{ id: 1n, vector: [0.1, 0.2] },
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]);
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await table.addColumns([{ name: 'price', valueSql: 'cast(10.0 as float)' }])
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await table.addColumns([
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{ name: "price", valueSql: "cast(10.0 as float)" },
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]);
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const expectedSchema = new Schema([
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new Field('id', new Int64(), true),
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new Field('vector', new FixedSizeList(2, new Field('item', new Float32(), true)), true),
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new Field('price', new Float32(), false)
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])
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expect(await table.schema()).toEqual(expectedSchema)
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new Field("id", new Int64(), true),
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new Field(
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"vector",
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new FixedSizeList(2, new Field("item", new Float32(), true)),
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true,
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),
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new Field("price", new Float32(), false),
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]);
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expect(await table.schema()).toEqual(expectedSchema);
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});
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it('can alter the columns in the schema', async function () {
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const con = await connect(tmpDir.name)
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it("can alter the columns in the schema", async function () {
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const con = await connect(tmpDir.name);
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const schema = new Schema([
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new Field('id', new Int64(), true),
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new Field('vector', new FixedSizeList(2, new Field('item', new Float32(), true)), true),
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new Field('price', new Float64(), false)
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])
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const table = await con.createTable('vectors', [
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{ id: 1n, vector: [0.1, 0.2] }
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])
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new Field("id", new Int64(), true),
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new Field(
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"vector",
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new FixedSizeList(2, new Field("item", new Float32(), true)),
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true,
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),
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new Field("price", new Float64(), false),
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]);
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const table = await con.createTable("vectors", [
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{ id: 1n, vector: [0.1, 0.2] },
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]);
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// Can create a non-nullable column only through addColumns at the moment.
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await table.addColumns([{ name: 'price', valueSql: 'cast(10.0 as double)' }])
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expect(await table.schema()).toEqual(schema)
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await table.addColumns([
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{ name: "price", valueSql: "cast(10.0 as double)" },
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]);
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expect(await table.schema()).toEqual(schema);
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await table.alterColumns([
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{ path: 'id', rename: 'new_id' },
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{ path: 'price', nullable: true }
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])
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{ path: "id", rename: "new_id" },
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{ path: "price", nullable: true },
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]);
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const expectedSchema = new Schema([
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new Field('new_id', new Int64(), true),
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new Field('vector', new FixedSizeList(2, new Field('item', new Float32(), true)), true),
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new Field('price', new Float64(), true)
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])
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expect(await table.schema()).toEqual(expectedSchema)
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new Field("new_id", new Int64(), true),
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new Field(
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"vector",
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new FixedSizeList(2, new Field("item", new Float32(), true)),
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true,
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),
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new Field("price", new Float64(), true),
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]);
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expect(await table.schema()).toEqual(expectedSchema);
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});
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it('can drop a column from the schema', async function () {
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const con = await connect(tmpDir.name)
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const table = await con.createTable('vectors', [
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{ id: 1n, vector: [0.1, 0.2] }
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])
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await table.dropColumns(['vector'])
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it("can drop a column from the schema", async function () {
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const con = await connect(tmpDir.name);
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const table = await con.createTable("vectors", [
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{ id: 1n, vector: [0.1, 0.2] },
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]);
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await table.dropColumns(["vector"]);
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const expectedSchema = new Schema([
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new Field('id', new Int64(), true)
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])
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expect(await table.schema()).toEqual(expectedSchema)
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const expectedSchema = new Schema([new Field("id", new Int64(), true)]);
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expect(await table.schema()).toEqual(expectedSchema);
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});
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});
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