Files
lancedb/python
Igor Ganapolsky a075aa62f8 fix(python): treat naive lit(datetime) as UTC wall clock (#3262) (#3775)
## Summary

Fixes naive `lit(datetime)` equality filters against table timestamp
columns on non-UTC hosts, and adds the integration matrix from #3262.

## Failure (before)

On a machine in US Eastern (UTC−4 / EDT), with PyPI `lancedb==0.36.0`:

```python
from datetime import datetime
import lancedb
from lancedb.expr import col, lit

db = lancedb.connect("memory://")
ts = datetime(2024, 7, 1, 10, 0, 0)  # naive
table = db.create_table("t", [{"id": 1, "ts": ts}])
rows = table.search().where(col("ts") == lit(ts)).to_list()
# actual: []  (0 rows)
# expected: 1 row
```

### Root cause

In `python/src/expr.rs`, `expr_lit` converted every `datetime` via
Python's `.timestamp()`:

- **naive** `.timestamp()` = local wall → UTC epoch (shifted by host
offset)
- **PyArrow naive** storage = UTC wall-clock microseconds (no local
shift)

So `lit(naive)` became `CAST('2024-07-01 14:00:00' AS TIMESTAMP)` on EDT
while the table held `10:00:00`.

## After

Naive datetimes are interpreted as UTC wall clock
(`replace(tzinfo=timezone.utc).timestamp()`), matching Arrow storage.
Aware datetimes still use `.timestamp()` (correct epoch).

Same repro on this branch: **1 matching row**.

## Tests

Added `TestExprDatetimeTimezoneIntegration` covering:

| Case | Result |
|------|--------|
| both naive | match |
| both same TZ (UTC) | match |
| different TZs, same instant | match |
| table TZ + naive lit | match (wall clock) |
| table naive + aware lit | match |
| naive lit SQL is wall clock, not local-shifted | asserts `10:00:00` in
SQL |

### Verification

```bash
cd python
maturin develop
pytest python/tests/test_expr.py -v
```

**102 passed** (full `test_expr.py`, including the 6 new cases).

Closes #3262

---------

Co-authored-by: Will Jones <willjones127@gmail.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-17 10:48:02 -07:00
..
2025-01-29 08:27:07 -08:00
2024-04-05 16:22:59 -07:00

LanceDB Python SDK

A Python library for LanceDB.

Installation

pip install lancedb

Pre-Haswell x86_64 hosts: lancedb-compat

The default lancedb wheel targets x86-64-haswell (AVX2 + FMA + F16C) for full performance on modern hardware. Pre-Haswell hosts — Intel Sandy Bridge / Ivy Bridge / Westmere; AMD Bulldozer / Piledriver / Steamroller — don't have AVX2 and crash with Illegal instruction at import lancedb.

For those hosts, install the lancedb-compat package instead:

pip install lancedb-compat

Same Python API (import lancedb works as usual). The compat wheel is compiled at the x86-64-v2 baseline (Nehalem-class) and uses runtime SIMD dispatch in the embedded lance crate to pick the right kernel tier (scalar / AVX / AVX+FMA / AVX2+FMA / AVX-512) at load time, so it still goes fast on modern hardware while running cleanly on the pre-Haswell silicon. Use lance.simd_info() from Python to verify which tier was selected.

lancedb and lancedb-compat install to the same lancedb/ namespace and conflict at install time. Pick one. To switch, pip uninstall lancedb first, then pip install lancedb-compat (or vice-versa).

If you need a custom baseline (or lancedb-compat isn't yet published for your platform), build from source with the override:

RUSTFLAGS="-C target-cpu=x86-64-v2" maturin build --release
pip install ./target/wheels/lancedb-*.whl

Preview Releases

Stable releases are created about every 2 weeks. For the latest features and bug fixes, you can install the preview release. These releases receive the same level of testing as stable releases, but are not guaranteed to be available for more than 6 months after they are released. Once your application is stable, we recommend switching to stable releases.

pip install --pre --extra-index-url https://pypi.fury.io/lancedb/ lancedb

Usage

Basic Example

import lancedb
db = lancedb.connect('<PATH_TO_LANCEDB_DATASET>')
table = db.open_table('my_table')
results = table.search([0.1, 0.3]).limit(20).to_list()
print(results)

Development

See CONTRIBUTING.md for information on how to contribute to LanceDB.