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f485378ea4
This is v1 of integrating full text search index into LanceDB.
# API
The query API is roughly the same as before, except if the input is text
instead of a vector we assume that its fts search.
## Example
If `table` is a LanceDB LanceTable, then:
Build index: `table.create_fts_index("text")`
Query: `df = table.search("puppy").limit(10).select(["text"]).to_df()`
# Implementation
Here we use the tantivy-py package to build the index. We then use the
row id's as the full-text-search index's doc id then we just do a Take
operation to fetch the rows.
# Limitations
1. don't support incremental row appends yet. New data won't show up in
search
2. local filesystem only
3. requires building tantivy explicitly
---------
Co-authored-by: Chang She <chang@lancedb.com>
58 lines
1.2 KiB
YAML
58 lines
1.2 KiB
YAML
name: Python
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on:
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push:
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branches:
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- main
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pull_request:
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paths:
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- python/**
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- .github/workflows/python.yml
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jobs:
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linux:
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timeout-minutes: 30
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strategy:
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matrix:
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python-minor-version: [ "8", "9", "10", "11" ]
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runs-on: "ubuntu-22.04"
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defaults:
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run:
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shell: bash
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working-directory: python
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steps:
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- uses: actions/checkout@v3
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with:
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fetch-depth: 0
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lfs: true
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: 3.${{ matrix.python-minor-version }}
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- name: Install lancedb
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run: |
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pip install -e ".[fts]"
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pip install pytest
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- name: Run tests
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run: pytest -x -v --durations=30 tests
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mac:
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timeout-minutes: 30
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runs-on: "macos-12"
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defaults:
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run:
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shell: bash
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working-directory: python
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steps:
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- uses: actions/checkout@v3
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with:
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fetch-depth: 0
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lfs: true
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: "3.11"
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- name: Install lancedb
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run: |
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pip install -e ".[fts]"
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pip install pytest
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- name: Run tests
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run: pytest -x -v --durations=30 tests |