ci: fix broken CI checks (#2585)

This commit is contained in:
Weston Pace
2025-08-13 10:05:57 -07:00
committed by GitHub
parent 4ff87b1f4a
commit 16beaaa656
4 changed files with 14 additions and 14 deletions

View File

@@ -79,7 +79,7 @@ jobs:
with:
node-version: ${{ matrix.node-version }}
cache: 'npm'
cache-dependency-path: node/package-lock.json
cache-dependency-path: nodejs/package-lock.json
- uses: Swatinem/rust-cache@v2
- name: Install dependencies
run: |
@@ -137,7 +137,7 @@ jobs:
with:
node-version: 20
cache: 'npm'
cache-dependency-path: node/package-lock.json
cache-dependency-path: nodejs/package-lock.json
- uses: Swatinem/rust-cache@v2
- name: Install dependencies
run: |

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@@ -12,7 +12,7 @@ test("ann index examples", async () => {
// --8<-- [start:ingest]
const db = await lancedb.connect(databaseDir);
const data = Array.from({ length: 5_000 }, (_, i) => ({
const data = Array.from({ length: 1_000 }, (_, i) => ({
vector: Array(128).fill(i),
id: `${i}`,
content: "",
@@ -24,8 +24,8 @@ test("ann index examples", async () => {
});
await table.createIndex("vector", {
config: lancedb.Index.ivfPq({
numPartitions: 10,
numSubVectors: 16,
numPartitions: 30,
numSubVectors: 8,
}),
});
// --8<-- [end:ingest]

View File

@@ -910,7 +910,7 @@ class LanceQueryBuilder(ABC):
ProjectionExec: expr=[vector@0 as vector, _distance@2 as _distance]
GlobalLimitExec: skip=0, fetch=10
FilterExec: _distance@2 IS NOT NULL
SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], preserve_partitioning=[false]
SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
KNNVectorDistance: metric=l2
LanceRead: uri=..., projection=[vector], ...
@@ -2041,11 +2041,11 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
>>> plan = table.search(query).explain_plan(True)
>>> print(plan) # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE
ProjectionExec: expr=[vector@0 as vector, _distance@2 as _distance]
GlobalLimitExec: skip=0, fetch=10
FilterExec: _distance@2 IS NOT NULL
SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], preserve_partitioning=[false]
KNNVectorDistance: metric=l2
LanceRead: uri=..., projection=[vector], ...
GlobalLimitExec: skip=0, fetch=10
FilterExec: _distance@2 IS NOT NULL
SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
KNNVectorDistance: metric=l2
LanceRead: uri=..., projection=[vector], ...
Parameters
----------
@@ -2429,7 +2429,7 @@ class AsyncQueryBase(object):
ProjectionExec: expr=[vector@0 as vector, _distance@2 as _distance]
GlobalLimitExec: skip=0, fetch=10
FilterExec: _distance@2 IS NOT NULL
SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], preserve_partitioning=[false]
SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
KNNVectorDistance: metric=l2
LanceRead: uri=..., projection=[vector], ...
@@ -3054,7 +3054,7 @@ class AsyncHybridQuery(AsyncQueryBase, AsyncVectorQueryBase):
CoalesceBatchesExec: target_batch_size=1024
GlobalLimitExec: skip=0, fetch=10
FilterExec: _distance@2 IS NOT NULL
SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], preserve_partitioning=[false]
SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
KNNVectorDistance: metric=l2
LanceRead: uri=..., projection=[vector], ...
<BLANKLINE>

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@@ -290,7 +290,7 @@ def test_add_struct(mem_db: DBConnection):
}
)
data = [{"s_list": [{"b": 1, "a": 2}, {"b": 4}]}]
table = mem_db.create_table("test", schema=schema)
table = mem_db.create_table("test2", schema=schema)
table.add(data)