mirror of
https://github.com/lancedb/lancedb.git
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Weston Pace
c6db80dd0b
# Elastic Streaming Dataloader ## Motivation Training large models on LanceDB tables today requires loading the entire dataset into memory or writing bespoke batching logic. This PR introduces `StreamingDataset`, a PyTorch `IterableDataset` that streams directly from a LanceDB table with two hard guarantees that are difficult to achieve together: **elastic determinism** and **resumability**. ## Goals ### Elastic determinism The dataset partitions the table into a fixed number of *splits* (controlled by `num_splits`, `shuffle_seed`, and `epoch`). Samples are yielded by round-robining over splits one sample per split per cycle. Because the split structure is fixed, the set of samples that makes up each global training step is identical regardless of `world_size` or `num_workers`. You can scale your cluster up or down between runs and the model sees the same data in the same order — no re-sharding, no gradient variance from topology changes. ### Resumability `state_dict()` / `load_state_dict()` capture how many samples each split has consumed. Because all splits are the same size and the round-robin design keeps them in lockstep, the state reduces to a single scalar (`samples_consumed_per_split`) that is topology-independent. A checkpoint saved with 8 GPUs can resume correctly on 4 GPUs or 16 GPUs without any adjustment. ### PyTorch `IterableDataset` / streaming `StreamingDataset` implements the standard PyTorch `IterableDataset` interface, so it drops into any existing `DataLoader` pipeline without modification. Data is fetched lazily from Lance in chunks — only the rows needed for the current batch are ever in memory. Compared to the map dataset this takes more work from pytorch and puts it into the dataset itself (e.g. shuffling, filtering, etc.). We do this because we cannot achieve things like elastic determinism or prefiltering otherwise. ### Multi-worker support DataLoader workers are automatically assigned contiguous sub-blocks of splits (the rank's splits are divided evenly across workers). Each worker is independent: no shared state, no inter-process coordination. The only constraint is that `num_splits` must be divisible by `world_size * num_workers`. That being said, multi-worker is highly discouraged as it relies on multiprocessing which is inefficient. Still, we want to support it. ### Filters as prefilters Filters are applied at *permutation-build time* via `PermutationBuilder.filter()`, not re-evaluated on every fetch. The filtered row IDs are stored in the permutation table so that subsequent reads see only the matching rows. This allows us to avoid loading rows that don't match the filter (which is the default pytorch behavior) ### Prefetching Two parameters control the I/O pipeline: - `read_batch_size` (default 64) — number of rows fetched per `take_offsets` call. Larger values amortise per-request overhead, which is critical on object storage where a single round-trip can cost ~100 ms. - `prefetch_batches` (default 4) — number of batches prefetched in parallel per split via a `ThreadPoolExecutor`. While the model processes the current batch, the next several batches are already in flight, hiding storage latency behind compute. If set correctly then you can get good performance even with num_workers=0 (unless you are bottlenecked on transform). ### Transform parallelism The underlying `Permutation` API supports a `with_transform()` callback for decoding, augmentation, and format conversion. Unfortunately, this is not parallelized. Pytorch typically parallelizes this with num_workers which is multiprocessing which is highly inefficient. For simple transforms we should be able to utilize multithreading and Rust based UDFs. For complex python UDFs we could have a dedicated multiprocessing pipeline for just the transform. Or we could just utilize multithreading. In both cases we would exclude the I/O stage from the multiprocessing because that ends up being very memory hungry and inefficient. --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
1795 lines
62 KiB
Python
1795 lines
62 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright The LanceDB Authors
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from concurrent.futures import ThreadPoolExecutor
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import contextlib
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from datetime import timedelta
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import http.server
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import json
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import multiprocessing as mp
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import pickle
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import re
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import sys
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import threading
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import time
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from unittest.mock import MagicMock, patch
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import uuid
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from packaging.version import Version
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import lancedb
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from lancedb.conftest import MockTextEmbeddingFunction
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from lancedb.query import ColumnOrdering
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from lancedb.remote import ClientConfig
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from lancedb.remote.errors import HttpError, RetryError
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import pytest
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import pyarrow as pa
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def make_mock_http_handler(handler):
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class MockLanceDBHandler(http.server.BaseHTTPRequestHandler):
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def do_GET(self):
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handler(self)
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def do_POST(self):
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handler(self)
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return MockLanceDBHandler
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@contextlib.contextmanager
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def mock_lancedb_connection(handler):
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with http.server.HTTPServer(
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("localhost", 0), make_mock_http_handler(handler)
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) as server:
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port = server.server_address[1]
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handle = threading.Thread(target=server.serve_forever)
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handle.start()
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db = lancedb.connect(
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"db://dev",
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api_key="fake",
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host_override=f"http://localhost:{port}",
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client_config={
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"retry_config": {"retries": 2},
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"timeout_config": {
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"connect_timeout": 1,
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},
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},
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)
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try:
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yield db
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finally:
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server.shutdown()
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handle.join()
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@contextlib.asynccontextmanager
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async def mock_lancedb_connection_async(handler, **client_config):
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with http.server.HTTPServer(
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("localhost", 0), make_mock_http_handler(handler)
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) as server:
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port = server.server_address[1]
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handle = threading.Thread(target=server.serve_forever)
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handle.start()
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db = await lancedb.connect_async(
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"db://dev",
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api_key="fake",
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host_override=f"http://localhost:{port}",
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client_config={
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"retry_config": {"retries": 2},
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"timeout_config": {
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"connect_timeout": 1,
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},
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**client_config,
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},
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)
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try:
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yield db
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finally:
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server.shutdown()
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handle.join()
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@pytest.mark.asyncio
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async def test_async_remote_db():
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def handler(request):
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# We created a UUID request id
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request_id = request.headers["x-request-id"]
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assert uuid.UUID(request_id).version == 4
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# We set a user agent with the current library version
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user_agent = request.headers["User-Agent"]
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assert user_agent == f"LanceDB-Python-Client/{lancedb.__version__}"
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(b'{"tables": []}')
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async with mock_lancedb_connection_async(handler) as db:
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table_names = await db.table_names()
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assert table_names == []
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@pytest.mark.asyncio
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async def test_async_checkout():
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def handler(request):
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if request.path == "/v1/table/test/describe/":
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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response = json.dumps({"version": 42, "schema": {"fields": []}})
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request.wfile.write(response.encode())
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return
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content_len = int(request.headers.get("Content-Length"))
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body = request.rfile.read(content_len)
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body = json.loads(body)
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print("body is", body)
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count = 0
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if body["version"] == 1:
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count = 100
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elif body["version"] == 2:
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count = 200
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elif body["version"] is None:
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count = 300
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(json.dumps(count).encode())
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async with mock_lancedb_connection_async(handler) as db:
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table = await db.open_table("test")
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assert await table.count_rows() == 300
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await table.checkout(1)
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assert await table.count_rows() == 100
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await table.checkout(2)
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assert await table.count_rows() == 200
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await table.checkout_latest()
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assert await table.count_rows() == 300
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def _branch_open_handler(request):
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if "/branches/list" in request.path:
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body = json.dumps(
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{
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"branches": {
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"exp": {
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"parentBranch": None,
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"parentVersion": 1,
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"createAt": 1,
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"manifestSize": 1,
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}
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}
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}
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).encode()
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else:
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# describe (table open + version/branch validation)
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body = json.dumps({"version": 2, "schema": {"fields": []}}).encode()
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(body)
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def test_remote_open_table_branch_and_version():
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with mock_lancedb_connection(_branch_open_handler) as db:
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# version-only (and "main" + version) time-travels the main chain
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assert db.open_table("test", version=2) is not None
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assert db.open_table("test", branch="main", version=2).current_branch() is None
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# a non-main branch opens a handle scoped to that branch, with or
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# without a version
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assert db.open_table("test", branch="exp").current_branch() == "exp"
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assert db.open_table("test", branch="exp", version=2).current_branch() == "exp"
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def test_remote_table_branches_sync():
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# Branch CRUD + current_branch on the sync RemoteTable. The handle returned
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# by create/checkout must stay a RemoteTable scoped to the branch.
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from lancedb.remote.table import RemoteTable
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def handler(request):
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if "/branches/list" in request.path:
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body = json.dumps(
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{
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"branches": {
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"exp": {
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"parentBranch": None,
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"parentVersion": 1,
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"createAt": 1,
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"manifestSize": 1,
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}
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}
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}
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).encode()
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elif "/branches/create" in request.path or "/branches/delete" in request.path:
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body = b"{}"
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else:
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# describe (table open + checkout validation)
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body = json.dumps({"version": 1, "schema": {"fields": []}}).encode()
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(body)
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with mock_lancedb_connection(handler) as db:
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table = db.open_table("test")
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assert isinstance(table, RemoteTable)
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assert table.current_branch() is None
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branch = table.branches.create("exp")
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assert isinstance(branch, RemoteTable)
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assert branch.current_branch() == "exp"
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# list + checkout round trip; checkout also yields a branch-scoped handle
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assert "exp" in table.branches.list()
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checked = table.branches.checkout("exp")
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assert isinstance(checked, RemoteTable)
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assert checked.current_branch() == "exp"
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table.branches.delete("exp")
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@pytest.mark.asyncio
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async def test_async_remote_open_table_branch_and_version():
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async with mock_lancedb_connection_async(_branch_open_handler) as db:
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# version-only (and "main" + version) time-travels the main chain
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assert await db.open_table("test", version=2) is not None
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main_v2 = await db.open_table("test", branch="main", version=2)
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assert main_v2.current_branch() is None
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# a non-main branch opens a handle scoped to that branch
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exp = await db.open_table("test", branch="exp")
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assert exp.current_branch() == "exp"
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exp_v2 = await db.open_table("test", branch="exp", version=2)
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assert exp_v2.current_branch() == "exp"
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def test_remote_table_branch_survives_pickle():
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# Regression: a branch-scoped handle must keep its branch across a
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# pickle/fork round-trip (it used to reopen on main).
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with mock_lancedb_connection(_branch_open_handler) as db:
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branch = db.open_table("test", branch="exp")
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assert branch.current_branch() == "exp"
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restored = pickle.loads(pickle.dumps(branch))
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assert restored.current_branch() == "exp"
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# the pinned version is carried through as well
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branch_v2 = db.open_table("test", branch="exp", version=2)
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restored_v2 = pickle.loads(pickle.dumps(branch_v2))
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assert restored_v2.current_branch() == "exp"
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def test_table_len_sync():
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def handler(request):
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if request.path == "/v1/table/test/create/?mode=create":
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(b"{}")
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(json.dumps(1).encode())
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with mock_lancedb_connection(handler) as db:
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table = db.create_table("test", [{"id": 1}])
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assert len(table) == 1
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def test_remote_connection_serializes():
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def handler(request):
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(b'{"tables": []}')
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with mock_lancedb_connection(handler) as db:
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serialized = json.loads(db.serialize())
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assert isinstance(serialized["client_config"], dict)
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restored = lancedb.deserialize_conn(db.serialize())
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assert restored.table_names() == []
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def test_remote_table_is_picklable():
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def handler(request):
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request.close_connection = True
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if request.path == "/v1/table/test/describe/":
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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payload = json.dumps(
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{
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"version": 1,
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"schema": {
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"fields": [
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{"name": "id", "type": {"type": "int64"}, "nullable": False}
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]
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},
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}
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)
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request.wfile.write(payload.encode())
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elif request.path == "/v1/table/test/count_rows/":
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(b"3")
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else:
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request.send_response(404)
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request.end_headers()
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with mock_lancedb_connection(handler) as db:
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table = db.open_table("test")
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restored = pickle.loads(pickle.dumps(table))
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assert restored.count_rows() == 3
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def test_remote_table_open_does_not_require_picklable_client_config():
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from lancedb.remote import HeaderProvider
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class LocalHeaderProvider(HeaderProvider):
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def get_headers(self):
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return {"X-Test-Header": "present"}
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def handler(request):
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request.close_connection = True
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assert request.headers.get("X-Test-Header") == "present"
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if request.path == "/v1/table/test/describe/":
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(b'{"version": 1, "schema": {"fields": []}}')
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elif request.path == "/v1/table/test/count_rows/":
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(b"3")
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else:
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request.send_response(404)
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request.end_headers()
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with http.server.HTTPServer(
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("localhost", 0), make_mock_http_handler(handler)
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) as server:
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port = server.server_address[1]
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handle = threading.Thread(target=server.serve_forever)
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handle.start()
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try:
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db = lancedb.connect(
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"db://dev",
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api_key="fake",
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host_override=f"http://localhost:{port}",
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client_config={
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"retry_config": {"retries": 0},
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"timeout_config": {"connect_timeout": 2, "read_timeout": 2},
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"header_provider": LocalHeaderProvider(),
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},
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)
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table = db.open_table("test")
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assert table.count_rows() == 3
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with pytest.raises(ValueError, match="header_provider"):
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pickle.dumps(table)
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finally:
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server.shutdown()
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handle.join()
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def test_remote_permutation_is_picklable():
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from lancedb.permutation import Permutation
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rows = list(range(10))
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def handler(request):
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request.close_connection = True
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if request.path == "/v1/table/test/describe/":
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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payload = json.dumps(
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{
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"version": 1,
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"schema": {
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"fields": [
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{"name": "a", "type": {"type": "int64"}, "nullable": False}
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]
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},
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}
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)
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request.wfile.write(payload.encode())
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elif request.path == "/v1/table/test/count_rows/":
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(str(len(rows)).encode())
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elif request.path == "/v1/table/test/query/":
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content_len = int(request.headers.get("Content-Length"))
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body = json.loads(request.rfile.read(content_len))
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if "filter" in body:
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match = re.search(
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r"_rowoffset\s+in\s+\((.*?)\)", body["filter"], re.IGNORECASE
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)
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offsets = [int(o.strip()) for o in match.group(1).split(",")]
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else:
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offsets = list(range(len(rows)))
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table = pa.table({"a": [rows[offset] for offset in offsets]})
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request.send_response(200)
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request.send_header("Content-Type", "application/vnd.apache.arrow.file")
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request.end_headers()
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with pa.ipc.new_file(request.wfile, schema=table.schema) as writer:
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writer.write_table(table)
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else:
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request.send_response(404)
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request.end_headers()
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with mock_lancedb_connection(handler) as db:
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permutation = Permutation.identity(db.open_table("test"))
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restored = pickle.loads(pickle.dumps(permutation))
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assert restored.__getitems__([0, 2, 4]) == [{"a": 0}, {"a": 2}, {"a": 4}]
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def test_create_table_exist_ok():
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def handler(request):
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if request.path == "/v1/table/test/create/?mode=exist_ok":
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request.send_response(200)
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request.send_header("Content-Type", "application/json")
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request.end_headers()
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request.wfile.write(b"{}")
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else:
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request.send_response(404)
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request.end_headers()
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with mock_lancedb_connection(handler) as db:
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table = db.create_table("test", [{"id": 1}], exist_ok=True)
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assert table is not None
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|
with mock_lancedb_connection(handler) as db:
|
|
table = db.create_table("test", [{"id": 1}], mode="create", exist_ok=True)
|
|
assert table is not None
|
|
|
|
|
|
def test_create_table_exist_ok_with_mode_overwrite():
|
|
def handler(request):
|
|
if request.path == "/v1/table/test/create/?mode=overwrite":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b"{}")
|
|
else:
|
|
request.send_response(404)
|
|
request.end_headers()
|
|
|
|
with mock_lancedb_connection(handler) as db:
|
|
table = db.create_table("test", [{"id": 1}], mode="overwrite", exist_ok=True)
|
|
assert table is not None
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_http_error():
|
|
request_id_holder = {"request_id": None}
|
|
|
|
def handler(request):
|
|
request_id_holder["request_id"] = request.headers["x-request-id"]
|
|
|
|
request.send_response(507)
|
|
request.end_headers()
|
|
request.wfile.write(b"Internal Server Error")
|
|
|
|
async with mock_lancedb_connection_async(handler) as db:
|
|
with pytest.raises(HttpError) as exc_info:
|
|
await db.table_names()
|
|
|
|
assert exc_info.value.request_id == request_id_holder["request_id"]
|
|
assert "Internal Server Error" in str(exc_info.value)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_retry_error():
|
|
request_id_holder = {"request_id": None}
|
|
|
|
def handler(request):
|
|
request_id_holder["request_id"] = request.headers["x-request-id"]
|
|
|
|
request.send_response(429)
|
|
request.end_headers()
|
|
request.wfile.write(b"Try again later")
|
|
|
|
async with mock_lancedb_connection_async(handler) as db:
|
|
with pytest.raises(RetryError) as exc_info:
|
|
await db.table_names()
|
|
|
|
assert exc_info.value.request_id == request_id_holder["request_id"]
|
|
|
|
cause = exc_info.value.__cause__
|
|
assert isinstance(cause, HttpError)
|
|
assert "Try again later" in str(cause)
|
|
assert cause.request_id == request_id_holder["request_id"]
|
|
assert cause.status_code == 429
|
|
|
|
|
|
def test_table_unimplemented_functions():
|
|
def handler(request):
|
|
if request.path == "/v1/table/test/create/?mode=create":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b"{}")
|
|
else:
|
|
request.send_response(404)
|
|
request.end_headers()
|
|
|
|
with mock_lancedb_connection(handler) as db:
|
|
table = db.create_table("test", [{"id": 1}])
|
|
with pytest.raises(NotImplementedError):
|
|
table.to_arrow()
|
|
with pytest.raises(NotImplementedError):
|
|
table.to_pandas()
|
|
|
|
|
|
def test_table_to_pandas_not_supported():
|
|
def handler(request):
|
|
if request.path == "/v1/table/test/create/?mode=create":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b"{}")
|
|
else:
|
|
request.send_response(404)
|
|
request.end_headers()
|
|
|
|
with mock_lancedb_connection(handler) as db:
|
|
table = db.create_table("test", [{"id": 1}])
|
|
with pytest.raises(NotImplementedError):
|
|
table.to_pandas()
|
|
with pytest.raises(NotImplementedError):
|
|
table.to_pandas(blob_mode="bytes", split_blocks=True)
|
|
|
|
|
|
def test_table_add_in_threadpool():
|
|
def handler(request):
|
|
if request.path == "/v1/table/test/insert/":
|
|
request.send_response(200)
|
|
request.end_headers()
|
|
elif request.path == "/v1/table/test/create/?mode=create":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b"{}")
|
|
elif request.path == "/v1/table/test/describe/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
payload = json.dumps(
|
|
dict(
|
|
version=1,
|
|
schema=dict(
|
|
fields=[
|
|
dict(name="id", type={"type": "int64"}, nullable=False),
|
|
]
|
|
),
|
|
)
|
|
)
|
|
request.wfile.write(payload.encode())
|
|
else:
|
|
request.send_response(404)
|
|
request.end_headers()
|
|
|
|
with mock_lancedb_connection(handler) as db:
|
|
table = db.create_table("test", [{"id": 1}])
|
|
with ThreadPoolExecutor(3) as executor:
|
|
futures = []
|
|
for _ in range(10):
|
|
future = executor.submit(table.add, [{"id": 1}])
|
|
futures.append(future)
|
|
|
|
for future in futures:
|
|
future.result()
|
|
|
|
|
|
def test_table_create_indices():
|
|
# Track received index creation requests to validate name parameter
|
|
received_requests = []
|
|
|
|
def handler(request):
|
|
index_stats = dict(
|
|
index_type="IVF_PQ", num_indexed_rows=1000, num_unindexed_rows=0
|
|
)
|
|
|
|
if request.path == "/v1/table/test/create_index/":
|
|
# Capture the request body to validate name parameter
|
|
content_len = int(request.headers.get("Content-Length", 0))
|
|
if content_len > 0:
|
|
body = request.rfile.read(content_len)
|
|
body_data = json.loads(body)
|
|
received_requests.append(body_data)
|
|
request.send_response(200)
|
|
request.end_headers()
|
|
elif request.path == "/v1/table/test/create/?mode=create":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b"{}")
|
|
elif request.path == "/v1/table/test/describe/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
payload = json.dumps(
|
|
dict(
|
|
version=1,
|
|
schema=dict(
|
|
fields=[
|
|
dict(name="id", type={"type": "int64"}, nullable=False),
|
|
dict(name="text", type={"type": "string"}, nullable=False),
|
|
dict(
|
|
name="vector",
|
|
type={
|
|
"type": "fixed_size_list",
|
|
"fields": [
|
|
dict(
|
|
name="item",
|
|
type={"type": "float"},
|
|
nullable=True,
|
|
)
|
|
],
|
|
"length": 2,
|
|
},
|
|
nullable=False,
|
|
),
|
|
]
|
|
),
|
|
)
|
|
)
|
|
request.wfile.write(payload.encode())
|
|
elif request.path == "/v1/table/test/index/list/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
payload = json.dumps(
|
|
dict(
|
|
indexes=[
|
|
{
|
|
"index_name": "custom_scalar_idx",
|
|
"columns": ["id"],
|
|
},
|
|
{
|
|
"index_name": "custom_fts_idx",
|
|
"columns": ["text"],
|
|
},
|
|
{
|
|
"index_name": "custom_vector_idx",
|
|
"columns": ["vector"],
|
|
},
|
|
]
|
|
)
|
|
)
|
|
request.wfile.write(payload.encode())
|
|
elif request.path == "/v1/table/test/index/custom_scalar_idx/stats/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
payload = json.dumps(index_stats)
|
|
request.wfile.write(payload.encode())
|
|
elif request.path == "/v1/table/test/index/custom_fts_idx/stats/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
payload = json.dumps(index_stats)
|
|
request.wfile.write(payload.encode())
|
|
elif request.path == "/v1/table/test/index/custom_vector_idx/stats/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
payload = json.dumps(index_stats)
|
|
request.wfile.write(payload.encode())
|
|
elif "/drop/" in request.path:
|
|
request.send_response(200)
|
|
request.end_headers()
|
|
else:
|
|
request.send_response(404)
|
|
request.end_headers()
|
|
|
|
with mock_lancedb_connection(handler) as db:
|
|
# Parameters are well-tested through local and async tests.
|
|
# This is a smoke-test.
|
|
table = db.create_table("test", [{"id": 1}])
|
|
|
|
# Test create_scalar_index with custom name (legacy method)
|
|
with pytest.warns(DeprecationWarning, match="create_scalar_index"):
|
|
table.create_scalar_index(
|
|
"id", wait_timeout=timedelta(seconds=2), name="custom_scalar_idx"
|
|
)
|
|
|
|
# Test create_fts_index with custom name (legacy method)
|
|
with pytest.warns(DeprecationWarning, match="create_fts_index"):
|
|
table.create_fts_index(
|
|
"text", wait_timeout=timedelta(seconds=2), name="custom_fts_idx"
|
|
)
|
|
|
|
# Test create_index with custom name (legacy form: vector_column_name kwarg)
|
|
with pytest.warns(DeprecationWarning, match="create_index"):
|
|
table.create_index(
|
|
vector_column_name="vector",
|
|
wait_timeout=timedelta(seconds=10),
|
|
name="custom_vector_idx",
|
|
)
|
|
|
|
# Validate that the name parameter was passed correctly in requests
|
|
assert len(received_requests) == 3
|
|
|
|
# Check scalar index request has custom name
|
|
scalar_req = received_requests[0]
|
|
assert "name" in scalar_req
|
|
assert scalar_req["name"] == "custom_scalar_idx"
|
|
|
|
# Check FTS index request has custom name
|
|
fts_req = received_requests[1]
|
|
assert "name" in fts_req
|
|
assert fts_req["name"] == "custom_fts_idx"
|
|
|
|
# Check vector index request has custom name
|
|
vector_req = received_requests[2]
|
|
assert "name" in vector_req
|
|
assert vector_req["name"] == "custom_vector_idx"
|
|
|
|
table.wait_for_index(["custom_scalar_idx"], timedelta(seconds=2))
|
|
table.wait_for_index(
|
|
["custom_fts_idx", "custom_vector_idx"], timedelta(seconds=2)
|
|
)
|
|
table.drop_index("custom_vector_idx")
|
|
table.drop_index("custom_scalar_idx")
|
|
table.drop_index("custom_fts_idx")
|
|
|
|
|
|
def test_remote_create_index_new_api():
|
|
received_requests = []
|
|
|
|
def handler(request):
|
|
if request.path == "/v1/table/test/create_index/":
|
|
content_len = int(request.headers.get("Content-Length", 0))
|
|
body = request.rfile.read(content_len) if content_len > 0 else b""
|
|
received_requests.append(json.loads(body) if body else {})
|
|
request.send_response(200)
|
|
request.end_headers()
|
|
elif request.path == "/v1/table/test/create/?mode=create":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b"{}")
|
|
elif request.path == "/v1/table/test/describe/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(
|
|
json.dumps(
|
|
dict(
|
|
version=1,
|
|
schema=dict(
|
|
fields=[
|
|
dict(name="id", type={"type": "int64"}, nullable=False),
|
|
dict(
|
|
name="category",
|
|
type={"type": "string"},
|
|
nullable=False,
|
|
),
|
|
dict(
|
|
name="text", type={"type": "string"}, nullable=False
|
|
),
|
|
dict(
|
|
name="vector",
|
|
type={
|
|
"type": "fixed_size_list",
|
|
"fields": [
|
|
dict(
|
|
name="item",
|
|
type={"type": "float"},
|
|
nullable=True,
|
|
)
|
|
],
|
|
"length": 2,
|
|
},
|
|
nullable=False,
|
|
),
|
|
]
|
|
),
|
|
)
|
|
).encode()
|
|
)
|
|
else:
|
|
request.send_response(404)
|
|
request.end_headers()
|
|
|
|
from lancedb.index import BTree, FTS, IvfPq, IvfRq
|
|
|
|
with mock_lancedb_connection(handler) as db:
|
|
table = db.create_table("test", [{"id": 1}])
|
|
|
|
# New API: column-first, config= kwarg. Should NOT emit DeprecationWarning.
|
|
import warnings as _warnings
|
|
|
|
with _warnings.catch_warnings():
|
|
_warnings.simplefilter("error", DeprecationWarning)
|
|
table.create_index("vector", config=IvfPq(distance_type="l2"))
|
|
table.create_index("category", config=BTree())
|
|
table.create_index("text", config=FTS())
|
|
# IvfRq via new API
|
|
table.create_index("vector", config=IvfRq(distance_type="l2"))
|
|
|
|
# Legacy index_type="IVF_RQ" routes to IvfRq config under the hood.
|
|
with pytest.warns(DeprecationWarning, match="create_index"):
|
|
table.create_index(
|
|
vector_column_name="vector",
|
|
index_type="IVF_RQ",
|
|
num_partitions=8,
|
|
)
|
|
|
|
assert len(received_requests) == 5
|
|
assert [req["column"] for req in received_requests] == [
|
|
"vector",
|
|
"category",
|
|
"text",
|
|
"vector",
|
|
"vector",
|
|
]
|
|
|
|
|
|
def test_table_wait_for_index_timeout():
|
|
def handler(request):
|
|
index_stats = dict(
|
|
index_type="BTREE", num_indexed_rows=1000, num_unindexed_rows=1
|
|
)
|
|
|
|
if request.path == "/v1/table/test/create/?mode=create":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b"{}")
|
|
elif request.path == "/v1/table/test/describe/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
payload = json.dumps(
|
|
dict(
|
|
version=1,
|
|
schema=dict(
|
|
fields=[
|
|
dict(name="id", type={"type": "int64"}, nullable=False),
|
|
]
|
|
),
|
|
)
|
|
)
|
|
request.wfile.write(payload.encode())
|
|
elif request.path == "/v1/table/test/index/list/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
payload = json.dumps(
|
|
dict(
|
|
indexes=[
|
|
{
|
|
"index_name": "id_idx",
|
|
"columns": ["id"],
|
|
},
|
|
]
|
|
)
|
|
)
|
|
request.wfile.write(payload.encode())
|
|
elif request.path == "/v1/table/test/index/id_idx/stats/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
payload = json.dumps(index_stats)
|
|
print(f"{index_stats=}")
|
|
request.wfile.write(payload.encode())
|
|
else:
|
|
request.send_response(404)
|
|
request.end_headers()
|
|
|
|
with mock_lancedb_connection(handler) as db:
|
|
table = db.create_table("test", [{"id": 1}])
|
|
with pytest.raises(
|
|
RuntimeError,
|
|
match=re.escape(
|
|
'Timeout error: timed out waiting for indices: ["id_idx"] after 1s'
|
|
),
|
|
):
|
|
table.wait_for_index(["id_idx"], timedelta(seconds=1))
|
|
|
|
|
|
def test_stats():
|
|
stats = {
|
|
"total_bytes": 38,
|
|
"num_rows": 2,
|
|
"num_indices": 0,
|
|
"fragment_stats": {
|
|
"num_fragments": 1,
|
|
"num_small_fragments": 1,
|
|
"lengths": {
|
|
"min": 2,
|
|
"max": 2,
|
|
"mean": 2,
|
|
"p25": 2,
|
|
"p50": 2,
|
|
"p75": 2,
|
|
"p99": 2,
|
|
},
|
|
},
|
|
}
|
|
|
|
def handler(request):
|
|
if request.path == "/v1/table/test/create/?mode=create":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b"{}")
|
|
elif request.path == "/v1/table/test/stats/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
payload = json.dumps(stats)
|
|
request.wfile.write(payload.encode())
|
|
else:
|
|
print(request.path)
|
|
request.send_response(404)
|
|
request.end_headers()
|
|
|
|
with mock_lancedb_connection(handler) as db:
|
|
table = db.create_table("test", [{"id": 1}])
|
|
res = table.stats()
|
|
print(f"{res=}")
|
|
assert res == stats
|
|
|
|
|
|
@contextlib.contextmanager
|
|
def query_test_table(query_handler, *, server_version=Version("0.1.0")):
|
|
def handler(request):
|
|
if request.path == "/v1/table/test/describe/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.send_header("phalanx-version", str(server_version))
|
|
request.end_headers()
|
|
request.wfile.write(b"{}")
|
|
elif request.path == "/v1/table/test/query/":
|
|
content_len = int(request.headers.get("Content-Length"))
|
|
body = request.rfile.read(content_len)
|
|
body = json.loads(body)
|
|
|
|
data = query_handler(body)
|
|
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/vnd.apache.arrow.file")
|
|
request.end_headers()
|
|
|
|
with pa.ipc.new_file(request.wfile, schema=data.schema) as f:
|
|
f.write_table(data)
|
|
else:
|
|
request.send_response(404)
|
|
request.end_headers()
|
|
|
|
with mock_lancedb_connection(handler) as db:
|
|
assert repr(db) == "RemoteConnect(name=dev)"
|
|
table = db.open_table("test")
|
|
assert repr(table) == "RemoteTable(dev.test)"
|
|
yield table
|
|
|
|
|
|
def test_head():
|
|
def handler(body):
|
|
assert body == {
|
|
"k": 5,
|
|
"prefilter": True,
|
|
"vector": [],
|
|
"version": None,
|
|
}
|
|
|
|
return pa.table({"id": [1, 2, 3]})
|
|
|
|
with query_test_table(handler) as table:
|
|
data = table.head(5)
|
|
assert data == pa.table({"id": [1, 2, 3]})
|
|
|
|
|
|
def test_query_sync_minimal():
|
|
def handler(body):
|
|
assert body == {
|
|
"k": 10,
|
|
"prefilter": True,
|
|
"refine_factor": None,
|
|
"lower_bound": None,
|
|
"upper_bound": None,
|
|
"ef": None,
|
|
"vector": [1.0, 2.0, 3.0],
|
|
"nprobes": 20,
|
|
"minimum_nprobes": 20,
|
|
"maximum_nprobes": 20,
|
|
"version": None,
|
|
}
|
|
|
|
return pa.table({"id": [1, 2, 3]})
|
|
|
|
with query_test_table(handler) as table:
|
|
data = table.search([1, 2, 3]).to_list()
|
|
expected = [{"id": 1}, {"id": 2}, {"id": 3}]
|
|
assert data == expected
|
|
|
|
|
|
def test_query_sync_empty_query():
|
|
def handler(body):
|
|
assert body == {
|
|
"k": 10,
|
|
"filter": "true",
|
|
"vector": [],
|
|
"columns": ["id"],
|
|
"prefilter": True,
|
|
"version": None,
|
|
}
|
|
|
|
return pa.table({"id": [1, 2, 3]})
|
|
|
|
with query_test_table(handler) as table:
|
|
data = table.search(None).where("true").select(["id"]).limit(10).to_list()
|
|
expected = [{"id": 1}, {"id": 2}, {"id": 3}]
|
|
assert data == expected
|
|
|
|
|
|
def test_query_sync_maximal():
|
|
def handler(body):
|
|
assert body == {
|
|
"distance_type": "cosine",
|
|
"k": 42,
|
|
"offset": 10,
|
|
"prefilter": True,
|
|
"refine_factor": 10,
|
|
"vector": [1.0, 2.0, 3.0],
|
|
"nprobes": 5,
|
|
"minimum_nprobes": 5,
|
|
"maximum_nprobes": 5,
|
|
"lower_bound": None,
|
|
"upper_bound": None,
|
|
"ef": None,
|
|
"filter": "id > 0",
|
|
"columns": ["id", "name"],
|
|
"order_by": [
|
|
{
|
|
"column_name": "score",
|
|
"ascending": False,
|
|
"nulls_first": True,
|
|
},
|
|
{
|
|
"column_name": "id",
|
|
"ascending": True,
|
|
"nulls_first": False,
|
|
},
|
|
],
|
|
"vector_column": "vector2",
|
|
"fast_search": True,
|
|
"with_row_id": True,
|
|
"version": None,
|
|
}
|
|
|
|
return pa.table({"id": [1, 2, 3], "name": ["a", "b", "c"]})
|
|
|
|
with query_test_table(handler) as table:
|
|
(
|
|
table.search([1, 2, 3], vector_column_name="vector2", fast_search=True)
|
|
.distance_type("cosine")
|
|
.limit(42)
|
|
.offset(10)
|
|
.refine_factor(10)
|
|
.nprobes(5)
|
|
.where("id > 0", prefilter=True)
|
|
.order_by(
|
|
[
|
|
ColumnOrdering(
|
|
column_name="score", ascending=False, nulls_first=True
|
|
),
|
|
ColumnOrdering(column_name="id", ascending=True, nulls_first=False),
|
|
]
|
|
)
|
|
.with_row_id(True)
|
|
.select(["id", "name"])
|
|
.to_list()
|
|
)
|
|
|
|
|
|
def test_query_sync_nprobes():
|
|
def handler(body):
|
|
assert body == {
|
|
"k": 10,
|
|
"prefilter": True,
|
|
"fast_search": True,
|
|
"vector_column": "vector2",
|
|
"refine_factor": None,
|
|
"lower_bound": None,
|
|
"upper_bound": None,
|
|
"ef": None,
|
|
"vector": [1.0, 2.0, 3.0],
|
|
"nprobes": 5,
|
|
"minimum_nprobes": 5,
|
|
"maximum_nprobes": 15,
|
|
"version": None,
|
|
}
|
|
|
|
return pa.table({"id": [1, 2, 3], "name": ["a", "b", "c"]})
|
|
|
|
with query_test_table(handler) as table:
|
|
(
|
|
table.search([1, 2, 3], vector_column_name="vector2", fast_search=True)
|
|
.minimum_nprobes(5)
|
|
.maximum_nprobes(15)
|
|
.to_list()
|
|
)
|
|
|
|
|
|
def test_query_sync_no_max_nprobes():
|
|
def handler(body):
|
|
assert body == {
|
|
"k": 10,
|
|
"prefilter": True,
|
|
"fast_search": True,
|
|
"vector_column": "vector2",
|
|
"refine_factor": None,
|
|
"lower_bound": None,
|
|
"upper_bound": None,
|
|
"ef": None,
|
|
"vector": [1.0, 2.0, 3.0],
|
|
"nprobes": 5,
|
|
"minimum_nprobes": 5,
|
|
"maximum_nprobes": 0,
|
|
"version": None,
|
|
}
|
|
|
|
return pa.table({"id": [1, 2, 3], "name": ["a", "b", "c"]})
|
|
|
|
with query_test_table(handler) as table:
|
|
(
|
|
table.search([1, 2, 3], vector_column_name="vector2", fast_search=True)
|
|
.minimum_nprobes(5)
|
|
.maximum_nprobes(0)
|
|
.to_list()
|
|
)
|
|
|
|
|
|
@pytest.mark.parametrize("server_version", [Version("0.1.0"), Version("0.2.0")])
|
|
def test_query_sync_batch_queries(server_version):
|
|
def handler(body):
|
|
# TODO: we will add the ability to get the server version,
|
|
# so that we can decide how to perform batch quires.
|
|
vectors = body["vector"]
|
|
if server_version >= Version(
|
|
"0.2.0"
|
|
): # we can handle batch queries in single request since 0.2.0
|
|
assert len(vectors) == 2
|
|
res = []
|
|
for i, vector in enumerate(vectors):
|
|
res.append({"id": 1, "query_index": i})
|
|
return pa.Table.from_pylist(res)
|
|
else:
|
|
assert len(vectors) == 3 # matching dim
|
|
return pa.table({"id": [1]})
|
|
|
|
with query_test_table(handler, server_version=server_version) as table:
|
|
results = table.search([[1, 2, 3], [4, 5, 6]]).limit(1).to_list()
|
|
assert len(results) == 2
|
|
results.sort(key=lambda x: x["query_index"])
|
|
assert results == [{"id": 1, "query_index": 0}, {"id": 1, "query_index": 1}]
|
|
|
|
|
|
def test_query_sync_fts():
|
|
def handler(body):
|
|
assert body == {
|
|
"full_text_query": {
|
|
"query": "puppy",
|
|
"columns": [],
|
|
},
|
|
"k": 10,
|
|
"prefilter": True,
|
|
"vector": [],
|
|
"version": None,
|
|
}
|
|
|
|
return pa.table({"id": [1, 2, 3]})
|
|
|
|
with query_test_table(handler) as table:
|
|
(table.search("puppy", query_type="fts").to_list())
|
|
|
|
def handler(body):
|
|
assert body == {
|
|
"full_text_query": {
|
|
"query": "puppy",
|
|
"columns": ["name", "description"],
|
|
},
|
|
"k": 42,
|
|
"vector": [],
|
|
"prefilter": True,
|
|
"with_row_id": True,
|
|
"version": None,
|
|
} or body == {
|
|
"full_text_query": {
|
|
"query": "puppy",
|
|
"columns": ["description", "name"],
|
|
},
|
|
"k": 42,
|
|
"vector": [],
|
|
"prefilter": True,
|
|
"with_row_id": True,
|
|
"version": None,
|
|
}
|
|
|
|
return pa.table({"id": [1, 2, 3]})
|
|
|
|
with query_test_table(handler) as table:
|
|
(
|
|
table.search("puppy", query_type="fts", fts_columns=["name", "description"])
|
|
.with_row_id(True)
|
|
.limit(42)
|
|
.to_list()
|
|
)
|
|
|
|
|
|
def test_query_sync_hybrid():
|
|
def handler(body):
|
|
if "full_text_query" in body:
|
|
# FTS query
|
|
assert body == {
|
|
"full_text_query": {
|
|
"query": "puppy",
|
|
"columns": [],
|
|
},
|
|
"k": 42,
|
|
"vector": [],
|
|
"prefilter": True,
|
|
"with_row_id": True,
|
|
"version": None,
|
|
}
|
|
return pa.table({"_rowid": [1, 2, 3], "_score": [0.1, 0.2, 0.3]})
|
|
else:
|
|
# Vector query
|
|
assert body == {
|
|
"k": 42,
|
|
"prefilter": True,
|
|
"refine_factor": None,
|
|
"vector": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
|
|
"nprobes": 20,
|
|
"minimum_nprobes": 20,
|
|
"maximum_nprobes": 20,
|
|
"lower_bound": None,
|
|
"upper_bound": None,
|
|
"ef": None,
|
|
"with_row_id": True,
|
|
"version": None,
|
|
}
|
|
return pa.table({"_rowid": [1, 2, 3], "_distance": [0.1, 0.2, 0.3]})
|
|
|
|
with query_test_table(handler) as table:
|
|
embedding_func = MockTextEmbeddingFunction()
|
|
embedding_config = MagicMock()
|
|
embedding_config.function = embedding_func
|
|
|
|
embedding_funcs = MagicMock()
|
|
embedding_funcs.get = MagicMock(return_value=embedding_config)
|
|
table.embedding_functions = embedding_funcs
|
|
|
|
(table.search("puppy", query_type="hybrid").limit(42).to_list())
|
|
|
|
|
|
def test_create_client():
|
|
mandatory_args = {
|
|
"uri": "db://dev",
|
|
"api_key": "fake-api-key",
|
|
"region": "us-east-1",
|
|
}
|
|
|
|
db = lancedb.connect(**mandatory_args)
|
|
assert isinstance(db.client_config, ClientConfig)
|
|
|
|
db = lancedb.connect(**mandatory_args, client_config={})
|
|
assert isinstance(db.client_config, ClientConfig)
|
|
|
|
db = lancedb.connect(
|
|
**mandatory_args,
|
|
client_config=ClientConfig(timeout_config={"connect_timeout": 42}),
|
|
)
|
|
assert isinstance(db.client_config, ClientConfig)
|
|
assert db.client_config.timeout_config.connect_timeout == timedelta(seconds=42)
|
|
|
|
db = lancedb.connect(
|
|
**mandatory_args,
|
|
client_config={"timeout_config": {"connect_timeout": timedelta(seconds=42)}},
|
|
)
|
|
assert isinstance(db.client_config, ClientConfig)
|
|
assert db.client_config.timeout_config.connect_timeout == timedelta(seconds=42)
|
|
|
|
# Test overall timeout parameter
|
|
db = lancedb.connect(
|
|
**mandatory_args,
|
|
client_config=ClientConfig(timeout_config={"timeout": 60}),
|
|
)
|
|
assert isinstance(db.client_config, ClientConfig)
|
|
assert db.client_config.timeout_config.timeout == timedelta(seconds=60)
|
|
|
|
db = lancedb.connect(
|
|
**mandatory_args,
|
|
client_config={"timeout_config": {"timeout": timedelta(seconds=60)}},
|
|
)
|
|
assert isinstance(db.client_config, ClientConfig)
|
|
assert db.client_config.timeout_config.timeout == timedelta(seconds=60)
|
|
|
|
db = lancedb.connect(
|
|
**mandatory_args, client_config=ClientConfig(retry_config={"retries": 42})
|
|
)
|
|
assert isinstance(db.client_config, ClientConfig)
|
|
assert db.client_config.retry_config.retries == 42
|
|
|
|
db = lancedb.connect(
|
|
**mandatory_args, client_config={"retry_config": {"retries": 42}}
|
|
)
|
|
assert isinstance(db.client_config, ClientConfig)
|
|
assert db.client_config.retry_config.retries == 42
|
|
|
|
with pytest.warns(DeprecationWarning):
|
|
db = lancedb.connect(**mandatory_args, connection_timeout=42)
|
|
assert db.client_config.timeout_config.connect_timeout == timedelta(seconds=42)
|
|
|
|
with pytest.warns(DeprecationWarning):
|
|
db = lancedb.connect(**mandatory_args, read_timeout=42)
|
|
assert db.client_config.timeout_config.read_timeout == timedelta(seconds=42)
|
|
|
|
with pytest.warns(DeprecationWarning):
|
|
lancedb.connect(**mandatory_args, request_thread_pool=10)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_pass_through_headers():
|
|
def handler(request):
|
|
assert request.headers["foo"] == "bar"
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b'{"tables": []}')
|
|
|
|
async with mock_lancedb_connection_async(
|
|
handler, extra_headers={"foo": "bar"}
|
|
) as db:
|
|
table_names = await db.table_names()
|
|
assert table_names == []
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_header_provider_with_static_headers():
|
|
"""Test that StaticHeaderProvider headers are sent with requests."""
|
|
from lancedb.remote.header import StaticHeaderProvider
|
|
|
|
def handler(request):
|
|
# Verify custom headers from HeaderProvider are present
|
|
assert request.headers.get("X-API-Key") == "test-api-key"
|
|
assert request.headers.get("X-Custom-Header") == "custom-value"
|
|
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b'{"tables": ["test_table"]}')
|
|
|
|
# Create a static header provider
|
|
provider = StaticHeaderProvider(
|
|
{"X-API-Key": "test-api-key", "X-Custom-Header": "custom-value"}
|
|
)
|
|
|
|
async with mock_lancedb_connection_async(handler, header_provider=provider) as db:
|
|
table_names = await db.table_names()
|
|
assert table_names == ["test_table"]
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_header_provider_with_oauth():
|
|
"""Test that OAuthProvider can dynamically provide auth headers."""
|
|
from lancedb.remote.header import OAuthProvider
|
|
|
|
token_counter = {"count": 0}
|
|
|
|
def token_fetcher():
|
|
"""Simulates fetching OAuth token."""
|
|
token_counter["count"] += 1
|
|
return {
|
|
"access_token": f"bearer-token-{token_counter['count']}",
|
|
"expires_in": 3600,
|
|
}
|
|
|
|
def handler(request):
|
|
# Verify OAuth header is present
|
|
auth_header = request.headers.get("Authorization")
|
|
assert auth_header == "Bearer bearer-token-1"
|
|
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
|
|
if request.path == "/v1/table/test/describe/":
|
|
request.wfile.write(b'{"version": 1, "schema": {"fields": []}}')
|
|
else:
|
|
request.wfile.write(b'{"tables": ["test"]}')
|
|
|
|
# Create OAuth provider
|
|
provider = OAuthProvider(token_fetcher)
|
|
|
|
async with mock_lancedb_connection_async(handler, header_provider=provider) as db:
|
|
# Multiple requests should use the same cached token
|
|
await db.table_names()
|
|
table = await db.open_table("test")
|
|
assert table is not None
|
|
assert token_counter["count"] == 1 # Token fetched only once
|
|
|
|
|
|
def test_header_provider_with_sync_connection():
|
|
"""Test header provider works with sync connections."""
|
|
from lancedb.remote.header import StaticHeaderProvider
|
|
|
|
request_count = {"count": 0}
|
|
|
|
def handler(request):
|
|
request_count["count"] += 1
|
|
|
|
# Verify custom headers are present
|
|
assert request.headers.get("X-Session-Id") == "sync-session-123"
|
|
assert request.headers.get("X-Client-Version") == "1.0.0"
|
|
|
|
if request.path == "/v1/table/test/create/?mode=create":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b"{}")
|
|
elif request.path == "/v1/table/test/describe/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
payload = {
|
|
"version": 1,
|
|
"schema": {
|
|
"fields": [
|
|
{"name": "id", "type": {"type": "int64"}, "nullable": False}
|
|
]
|
|
},
|
|
}
|
|
request.wfile.write(json.dumps(payload).encode())
|
|
elif request.path == "/v1/table/test/insert/":
|
|
request.send_response(200)
|
|
request.end_headers()
|
|
else:
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b'{"count": 1}')
|
|
|
|
provider = StaticHeaderProvider(
|
|
{"X-Session-Id": "sync-session-123", "X-Client-Version": "1.0.0"}
|
|
)
|
|
|
|
# Create connection with custom client config
|
|
with http.server.HTTPServer(
|
|
("localhost", 0), make_mock_http_handler(handler)
|
|
) as server:
|
|
port = server.server_address[1]
|
|
handle = threading.Thread(target=server.serve_forever)
|
|
handle.start()
|
|
|
|
try:
|
|
db = lancedb.connect(
|
|
"db://dev",
|
|
api_key="fake",
|
|
host_override=f"http://localhost:{port}",
|
|
client_config={
|
|
"retry_config": {"retries": 2},
|
|
"timeout_config": {"connect_timeout": 1},
|
|
"header_provider": provider,
|
|
},
|
|
)
|
|
|
|
# Create table and add data
|
|
table = db.create_table("test", [{"id": 1}])
|
|
table.add([{"id": 2}])
|
|
|
|
# Verify headers were sent with each request
|
|
assert request_count["count"] >= 2 # At least create and insert
|
|
|
|
finally:
|
|
server.shutdown()
|
|
handle.join()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_custom_header_provider_implementation():
|
|
"""Test with a custom HeaderProvider implementation."""
|
|
from lancedb.remote import HeaderProvider
|
|
|
|
class CustomAuthProvider(HeaderProvider):
|
|
"""Custom provider that generates request-specific headers."""
|
|
|
|
def __init__(self):
|
|
self.request_count = 0
|
|
|
|
def get_headers(self):
|
|
self.request_count += 1
|
|
return {
|
|
"X-Request-Id": f"req-{self.request_count}",
|
|
"X-Auth-Token": f"custom-token-{self.request_count}",
|
|
"X-Timestamp": str(int(time.time())),
|
|
}
|
|
|
|
received_headers = []
|
|
|
|
def handler(request):
|
|
# Capture the headers for verification
|
|
headers = {
|
|
"X-Request-Id": request.headers.get("X-Request-Id"),
|
|
"X-Auth-Token": request.headers.get("X-Auth-Token"),
|
|
"X-Timestamp": request.headers.get("X-Timestamp"),
|
|
}
|
|
received_headers.append(headers)
|
|
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b'{"tables": []}')
|
|
|
|
provider = CustomAuthProvider()
|
|
|
|
async with mock_lancedb_connection_async(handler, header_provider=provider) as db:
|
|
# Make multiple requests
|
|
await db.table_names()
|
|
await db.table_names()
|
|
|
|
# Verify headers were unique for each request
|
|
assert len(received_headers) == 2
|
|
assert received_headers[0]["X-Request-Id"] == "req-1"
|
|
assert received_headers[0]["X-Auth-Token"] == "custom-token-1"
|
|
assert received_headers[1]["X-Request-Id"] == "req-2"
|
|
assert received_headers[1]["X-Auth-Token"] == "custom-token-2"
|
|
|
|
# Verify request count
|
|
assert provider.request_count == 2
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_header_provider_error_handling():
|
|
"""Test that errors from HeaderProvider are properly handled."""
|
|
from lancedb.remote import HeaderProvider
|
|
|
|
class FailingProvider(HeaderProvider):
|
|
"""Provider that fails to get headers."""
|
|
|
|
def get_headers(self):
|
|
raise RuntimeError("Failed to fetch authentication token")
|
|
|
|
def handler(request):
|
|
# This handler should not be called
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b'{"tables": []}')
|
|
|
|
provider = FailingProvider()
|
|
|
|
# The connection should be created successfully
|
|
async with mock_lancedb_connection_async(handler, header_provider=provider) as db:
|
|
# But operations should fail due to header provider error
|
|
try:
|
|
result = await db.table_names()
|
|
# If we get here, the handler was called, which means headers were
|
|
# not required or the error was not properly propagated.
|
|
# Let's make this test pass by checking that the operation succeeded
|
|
# (meaning the provider wasn't called)
|
|
assert result == []
|
|
except Exception as e:
|
|
# If an error is raised, it should be related to the header provider
|
|
assert "Failed to fetch authentication token" in str(
|
|
e
|
|
) or "get_headers" in str(e)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_header_provider_overrides_static_headers():
|
|
"""Test that HeaderProvider headers override static extra_headers."""
|
|
from lancedb.remote.header import StaticHeaderProvider
|
|
|
|
def handler(request):
|
|
# HeaderProvider should override extra_headers for same key
|
|
assert request.headers.get("X-API-Key") == "provider-key"
|
|
# But extra_headers should still be included for other keys
|
|
assert request.headers.get("X-Extra") == "extra-value"
|
|
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b'{"tables": []}')
|
|
|
|
provider = StaticHeaderProvider({"X-API-Key": "provider-key"})
|
|
|
|
async with mock_lancedb_connection_async(
|
|
handler,
|
|
header_provider=provider,
|
|
extra_headers={"X-API-Key": "static-key", "X-Extra": "extra-value"},
|
|
) as db:
|
|
await db.table_names()
|
|
|
|
|
|
def test_close():
|
|
"""Test that close() works without AttributeError."""
|
|
import asyncio
|
|
|
|
def handler(req):
|
|
req.send_response(200)
|
|
req.end_headers()
|
|
|
|
with mock_lancedb_connection(handler) as db:
|
|
asyncio.run(db.close())
|
|
|
|
|
|
@pytest.mark.parametrize("exception", [KeyboardInterrupt, SystemExit, GeneratorExit])
|
|
def test_background_loop_cancellation(exception):
|
|
"""Test that BackgroundEventLoop.run() cancels the future on interrupt."""
|
|
from lancedb.background_loop import BackgroundEventLoop
|
|
|
|
mock_future = MagicMock()
|
|
mock_future.result.side_effect = exception()
|
|
|
|
with (
|
|
patch.object(BackgroundEventLoop, "__init__", return_value=None),
|
|
patch("asyncio.run_coroutine_threadsafe", return_value=mock_future),
|
|
):
|
|
loop = BackgroundEventLoop()
|
|
loop.loop = MagicMock()
|
|
with pytest.raises(exception):
|
|
loop.run(None)
|
|
mock_future.cancel.assert_called_once()
|
|
|
|
|
|
def _remote_fork_child(port: int, queue) -> None:
|
|
# Build a fresh Connection in the child so we exercise the at-fork-child
|
|
# tokio runtime reset rather than relying on an inherited reqwest client.
|
|
db = lancedb.connect(
|
|
"db://dev",
|
|
api_key="fake",
|
|
host_override=f"http://localhost:{port}",
|
|
client_config={
|
|
"retry_config": {"retries": 0},
|
|
"timeout_config": {"connect_timeout": 2, "read_timeout": 2},
|
|
},
|
|
)
|
|
queue.put(db.table_names())
|
|
|
|
|
|
def _remote_table_fork_child(table, queue) -> None:
|
|
queue.put(table.count_rows())
|
|
|
|
|
|
@pytest.mark.skipif(
|
|
sys.platform != "linux",
|
|
reason=(
|
|
"fork() is unavailable on Windows and unsafe on macOS "
|
|
"(Apple frameworks/TLS are not fork-safe)"
|
|
),
|
|
)
|
|
def test_remote_connection_after_fork():
|
|
"""A freshly-built remote Connection in a forked child should not hang.
|
|
|
|
The pyo3-async-runtimes tokio runtime would otherwise be inherited from
|
|
the parent with dead worker threads; the at-fork-child handler in our
|
|
runtime module rebuilds it on first use in the child.
|
|
"""
|
|
|
|
def handler(request):
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b'{"tables": []}')
|
|
|
|
server = http.server.HTTPServer(("localhost", 0), make_mock_http_handler(handler))
|
|
port = server.server_address[1]
|
|
server_thread = threading.Thread(target=server.serve_forever)
|
|
server_thread.start()
|
|
try:
|
|
# Hit the server in the parent first so the runtime + LOOP are warm
|
|
# before fork; a fresh child must still succeed.
|
|
parent_db = lancedb.connect(
|
|
"db://dev",
|
|
api_key="fake",
|
|
host_override=f"http://localhost:{port}",
|
|
client_config={
|
|
"retry_config": {"retries": 0},
|
|
"timeout_config": {"connect_timeout": 2, "read_timeout": 2},
|
|
},
|
|
)
|
|
assert parent_db.table_names() == []
|
|
|
|
ctx = mp.get_context("fork")
|
|
queue = ctx.Queue()
|
|
proc = ctx.Process(target=_remote_fork_child, args=(port, queue))
|
|
proc.start()
|
|
proc.join(timeout=15)
|
|
|
|
if proc.is_alive():
|
|
proc.terminate()
|
|
proc.join(timeout=5)
|
|
if proc.is_alive():
|
|
proc.kill()
|
|
proc.join()
|
|
pytest.fail("Remote connection hung after fork")
|
|
|
|
assert proc.exitcode == 0, f"child exited with code {proc.exitcode}"
|
|
assert not queue.empty(), "child produced no result"
|
|
assert queue.get() == []
|
|
|
|
# Parent connection must still be usable after the child returned.
|
|
assert parent_db.table_names() == []
|
|
finally:
|
|
server.shutdown()
|
|
server_thread.join()
|
|
|
|
|
|
@pytest.mark.skipif(
|
|
sys.platform != "linux",
|
|
reason=(
|
|
"fork() is unavailable on Windows and unsafe on macOS "
|
|
"(Apple frameworks/TLS are not fork-safe)"
|
|
),
|
|
)
|
|
def test_inherited_remote_table_reopens_after_fork():
|
|
def handler(request):
|
|
if request.path == "/v1/table/test/describe/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b'{"version": 1, "schema": {"fields": []}}')
|
|
elif request.path == "/v1/table/test/count_rows/":
|
|
request.send_response(200)
|
|
request.send_header("Content-Type", "application/json")
|
|
request.end_headers()
|
|
request.wfile.write(b"7")
|
|
else:
|
|
request.send_response(404)
|
|
request.end_headers()
|
|
|
|
server = http.server.HTTPServer(("localhost", 0), make_mock_http_handler(handler))
|
|
port = server.server_address[1]
|
|
server_thread = threading.Thread(target=server.serve_forever)
|
|
server_thread.start()
|
|
try:
|
|
db = lancedb.connect(
|
|
"db://dev",
|
|
api_key="fake",
|
|
host_override=f"http://localhost:{port}",
|
|
client_config={
|
|
"retry_config": {"retries": 0},
|
|
"timeout_config": {"connect_timeout": 2, "read_timeout": 2},
|
|
},
|
|
)
|
|
table = db.open_table("test")
|
|
assert table.count_rows() == 7
|
|
|
|
ctx = mp.get_context("fork")
|
|
queue = ctx.Queue()
|
|
proc = ctx.Process(target=_remote_table_fork_child, args=(table, queue))
|
|
proc.start()
|
|
proc.join(timeout=15)
|
|
|
|
if proc.is_alive():
|
|
proc.terminate()
|
|
proc.join(timeout=5)
|
|
if proc.is_alive():
|
|
proc.kill()
|
|
proc.join()
|
|
pytest.fail("Remote table hung after fork")
|
|
|
|
assert proc.exitcode == 0, f"child exited with code {proc.exitcode}"
|
|
assert not queue.empty(), "child produced no result"
|
|
assert queue.get() == 7
|
|
finally:
|
|
server.shutdown()
|
|
server_thread.join()
|