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test: add scalar index for compatibility testing #39291

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test: add scalar index for compatibility testing #39291

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e0e1684
test: add scalar index for compatibility testing
zhuwenxing Jan 15, 2025
61671e4
add stl sort index for int field
zhuwenxing Jan 16, 2025
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25 changes: 16 additions & 9 deletions tests/python_client/deploy/testcases/test_action_first_deployment.py
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Original file line number Diff line number Diff line change
Expand Up @@ -67,11 +67,11 @@ def test_task_all_empty(self, index_type, replica_number):
@pytest.mark.parametrize("replica_number", [0, 1, 2])
@pytest.mark.parametrize("is_compacted", ["is_compacted", "not_compacted"])
@pytest.mark.parametrize("is_deleted", ["is_deleted"])
@pytest.mark.parametrize("is_string_indexed", ["is_string_indexed", "not_string_indexed"])
@pytest.mark.parametrize("is_scalar_indexed", ["is_scalar_indexed", "not_scalar_indexed"])
@pytest.mark.parametrize("segment_status", ["only_growing", "all"])
@pytest.mark.parametrize("index_type", ["HNSW", "BIN_IVF_FLAT", "IVF_FLAT", "IVF_SQ8", "IVF_PQ"])
def test_task_all(self, index_type, is_compacted,
segment_status, is_string_indexed, replica_number, is_deleted, data_size):
segment_status, is_scalar_indexed, replica_number, is_deleted, data_size):
"""
before reinstall: create collection and insert data, load and search
"""
Expand All @@ -90,7 +90,7 @@ def test_task_all(self, index_type, is_compacted,
pytest.skip("skip test, not enough nodes")

log.info(f"collection name: {name}, replica_number: {replica_number}, is_compacted: {is_compacted},"
f"is_deleted: {is_deleted}, is_string_indexed: {is_string_indexed},"
f"is_deleted: {is_deleted}, is_scalar_indexed: {is_scalar_indexed},"
f"segment_status: {segment_status}, index_type: {index_type}")

is_binary = True if "BIN" in index_type else False
Expand Down Expand Up @@ -119,12 +119,19 @@ def test_task_all(self, index_type, is_compacted,
# create index for vector
default_index_param = gen_index_param(index_type)
collection_w.create_index(default_index_field, default_index_param)
# create index for string
if is_string_indexed == "is_string_indexed":
default_string_index_params = {}
default_string_index_name = "_default_string_idx"
collection_w.create_index(
default_string_field_name, default_string_index_params, index_name=default_string_index_name)
# create index for scalar
if is_scalar_indexed == "is_scalar_indexed":
int_field_name = cf.get_int64_field_name(schema=collection_w.schema)
# create stl sort index for int field
collection_w.create_index(int_field_name, {"index_type": "STL_SORT"})
scalar_field_names = cf.get_scalar_field_name_list(schema=collection_w.schema)
indexes = [index.to_dict() for index in collection_w.indexes]
indexed_fields = [index['field'] for index in indexes]
# create inverted index for other scalar field
for f in scalar_field_names:
if f in indexed_fields:
continue
collection_w.create_index(f, {"index_type": "INVERTED"},)

# load for growing segment
if replica_number >= 1:
Expand Down