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arrow table/f16 example (#907)
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@@ -1,6 +1,6 @@
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// --8<-- [start:import]
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import * as lancedb from "vectordb";
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import { Schema, Field, Float32, FixedSizeList, Int32 } from "apache-arrow";
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import { Schema, Field, Float32, FixedSizeList, Int32, Float16 } from "apache-arrow";
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// --8<-- [end:import]
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import * as fs from "fs";
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import { Table as ArrowTable, Utf8 } from "apache-arrow";
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@@ -8,6 +8,7 @@ import { Table as ArrowTable, Utf8 } from "apache-arrow";
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const example = async () => {
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fs.rmSync("data/sample-lancedb", { recursive: true, force: true });
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// --8<-- [start:open_db]
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const lancedb = require("vectordb");
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const uri = "data/sample-lancedb";
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const db = await lancedb.connect(uri);
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// --8<-- [end:open_db]
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@@ -48,6 +49,27 @@ const example = async () => {
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const empty_tbl = await db.createTable({ name: "empty_table", schema });
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// --8<-- [end:create_empty_table]
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// --8<-- [start:create_f16_table]
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const dim = 16
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const total = 10
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const f16_schema = new Schema([
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new Field('id', new Int32()),
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new Field(
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'vector',
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new FixedSizeList(dim, new Field('item', new Float16(), true)),
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false
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)
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])
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const data = lancedb.makeArrowTable(
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Array.from(Array(total), (_, i) => ({
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id: i,
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vector: Array.from(Array(dim), Math.random)
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})),
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{ f16_schema }
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)
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const table = await db.createTable('f16_tbl', data)
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// --8<-- [end:create_f16_table]
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// --8<-- [start:search]
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const query = await tbl.search([100, 100]).limit(2).execute();
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// --8<-- [end:search]
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