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fix(node) Replace panic errors with friendlier ones (#366)
- Implement Result/Error in the node FFI - Implement a trait (ResultExt) to make error handling less verbose - Refactor some parts of the code that touch arrow into arrow.rs
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@@ -134,6 +134,18 @@ describe('LanceDB client', function () {
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assert.equal(await table.countRows(), 2)
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})
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it('fails to create a new table when the vector column is missing', async function () {
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const dir = await track().mkdir('lancejs')
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const con = await lancedb.connect(dir)
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const data = [
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{ id: 1, price: 10 }
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]
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const create = con.createTable('missing_vector', data)
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await expect(create).to.be.rejectedWith(Error, 'column \'vector\' is missing')
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})
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it('use overwrite flag to overwrite existing table', async function () {
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const dir = await track().mkdir('lancejs')
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const con = await lancedb.connect(dir)
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@@ -230,6 +242,14 @@ describe('LanceDB client', function () {
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// Default replace = true
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await table.createIndex({ type: 'ivf_pq', column: 'vector', num_partitions: 2, max_iters: 2, num_sub_vectors: 2 })
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}).timeout(50_000)
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it('it should fail when the column is not a vector', async function () {
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const uri = await createTestDB(32, 300)
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const con = await lancedb.connect(uri)
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const table = await con.openTable('vectors')
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const createIndex = table.createIndex({ type: 'ivf_pq', column: 'name', num_partitions: 2, max_iters: 2, num_sub_vectors: 2 })
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await expect(createIndex).to.be.rejectedWith(/VectorIndex requires the column data type to be fixed size list of float32s/)
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})
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})
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describe('when using a custom embedding function', function () {
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