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Skip _vector_chunks rename for non-FLAT vec0 columns (#294)
vec0Rename emits an unconditional ALTER TABLE on `<name>_vector_chunks%02d` for every vector column, but non-FLAT columns (rescore, IVF, DiskANN) don't create that shadow table — so ALTER TABLE RENAME on a DiskANN-indexed (or rescore/IVF) vec0 table fails with `no such table` and leaves any cached prepared statements still referencing the old name. Mirror the guard already used at create time in vec0_init around VEC0_SHADOW_VECTOR_N_CREATE: only rename `_vector_chunks` when the column's index_type is VEC0_INDEX_TYPE_FLAT. Adds a regression test exercising rename on a DiskANN-indexed table.
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2 changed files with 36 additions and 3 deletions
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@ -162,6 +162,35 @@ def test_rename_with_metadata(db):
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assert _shadow_tables(db, "v") == []
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def test_rename_diskann(db):
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"""Rename should work on DiskANN-indexed tables (no _vector_chunks shadow)."""
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db.execute("""
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CREATE VIRTUAL TABLE v USING vec0(
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a float[8] INDEXED BY diskann(neighbor_quantizer=binary)
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)
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""")
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db.execute("insert into v(rowid, a) values (1, ?)", [_f32([0.1] * 8)])
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# DiskANN columns use _vectors / _diskann_nodes / _diskann_buffer instead
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# of _vector_chunks; the rename must skip the missing _vector_chunks ALTER.
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before = _shadow_tables(db, "v")
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assert "v_diskann_nodes00" in before
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assert "v_vector_chunks00" not in before
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db.execute("ALTER TABLE v RENAME TO v2")
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rows = db.execute(
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"select rowid from v2 where a match ? and k=10",
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[_f32([0.1] * 8)],
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).fetchall()
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assert rows[0][0] == 1
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after = _shadow_tables(db, "v2")
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assert "v2_diskann_nodes00" in after
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assert "v2_vector_chunks00" not in after
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assert _shadow_tables(db, "v") == []
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def test_rename_drop_after(db):
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"""DROP TABLE should work on a renamed table."""
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db.execute("create virtual table v using vec0(a float[2], chunk_size=8)")
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