Files
lancedb/nodejs/examples/basic.ts
2024-07-22 10:26:49 -07:00

163 lines
3.7 KiB
TypeScript

// --8<-- [start:imports]
import * as lancedb from "@lancedb/lancedb";
import * as arrow from "apache-arrow";
import {
Field,
FixedSizeList,
Float16,
Int32,
Schema,
Utf8,
} from "apache-arrow";
// --8<-- [end:imports]
// --8<-- [start:connect]
const uri = "/tmp/lancedb/";
const db = await lancedb.connect(uri);
// --8<-- [end:connect]
{
// --8<-- [start:create_table]
const tbl = await db.createTable(
"myTable",
[
{ vector: [3.1, 4.1], item: "foo", price: 10.0 },
{ vector: [5.9, 26.5], item: "bar", price: 20.0 },
],
{ mode: "overwrite" },
);
// --8<-- [end:create_table]
const data = [
{ vector: [3.1, 4.1], item: "foo", price: 10.0 },
{ vector: [5.9, 26.5], item: "bar", price: 20.0 },
];
{
// --8<-- [start:create_table_exists_ok]
const tbl = await db.createTable("myTable", data, {
existsOk: true,
});
// --8<-- [end:create_table_exists_ok]
}
{
// --8<-- [start:create_table_overwrite]
const _tbl = await db.createTable("myTable", data, {
mode: "overwrite",
});
// --8<-- [end:create_table_overwrite]
}
}
{
// --8<-- [start:create_table_with_schema]
const schema = new arrow.Schema([
new arrow.Field(
"vector",
new arrow.FixedSizeList(
2,
new arrow.Field("item", new arrow.Float32(), true),
),
),
new arrow.Field("item", new arrow.Utf8(), true),
new arrow.Field("price", new arrow.Float32(), true),
]);
const data = [
{ vector: [3.1, 4.1], item: "foo", price: 10.0 },
{ vector: [5.9, 26.5], item: "bar", price: 20.0 },
];
const _tbl = await db.createTable("myTable", data, {
schema,
});
// --8<-- [end:create_table_with_schema]
}
{
// --8<-- [start:create_empty_table]
const schema = new arrow.Schema([
new arrow.Field("id", new arrow.Int32()),
new arrow.Field("name", new arrow.Utf8()),
]);
const empty_tbl = await db.createEmptyTable("empty_table", schema);
// --8<-- [end:create_empty_table]
}
{
// --8<-- [start:open_table]
const _tbl = await db.openTable("myTable");
// --8<-- [end:open_table]
}
{
// --8<-- [start:table_names]
const tableNames = await db.tableNames();
console.log(tableNames);
// --8<-- [end:table_names]
}
const tbl = await db.openTable("myTable");
{
// --8<-- [start:add_data]
const data = [
{ vector: [1.3, 1.4], item: "fizz", price: 100.0 },
{ vector: [9.5, 56.2], item: "buzz", price: 200.0 },
];
await tbl.add(data);
// --8<-- [end:add_data]
}
{
// --8<-- [start:vector_search]
const _res = tbl.search([100, 100]).limit(2).toArray();
// --8<-- [end:vector_search]
}
{
const data = Array.from({ length: 1000 })
.fill(null)
.map(() => ({
vector: [Math.random(), Math.random()],
item: "autogen",
price: Math.round(Math.random() * 100),
}));
await tbl.add(data);
}
// --8<-- [start:create_index]
await tbl.createIndex("vector");
// --8<-- [end:create_index]
// --8<-- [start:delete_rows]
await tbl.delete('item = "fizz"');
// --8<-- [end:delete_rows]
// --8<-- [start:drop_table]
await db.dropTable("myTable");
// --8<-- [end:drop_table]
await db.dropTable("empty_table");
{
// --8<-- [start:create_f16_table]
const db = await lancedb.connect("/tmp/lancedb");
const dim = 16;
const total = 10;
const f16Schema = new Schema([
new Field("id", new Int32()),
new Field(
"vector",
new FixedSizeList(dim, new Field("item", new Float16(), true)),
false,
),
]);
const data = lancedb.makeArrowTable(
Array.from(Array(total), (_, i) => ({
id: i,
vector: Array.from(Array(dim), Math.random),
})),
{ schema: f16Schema },
);
const _table = await db.createTable("f16_tbl", data);
// --8<-- [end:create_f16_table]
await db.dropTable("f16_tbl");
}