mirror of https://github.com/milvus-io/milvus.git
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8563c4a5ee
commit
9e7ce0a8f7
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@ -3249,17 +3249,14 @@ class TestDescribeCollection(TestcaseBase):
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collection_w.create_index(ct.default_float_vec_field_name, index_params=ct.default_flat_index)
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description = \
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{'collection_name': c_name, 'auto_id': False, 'num_shards': ct.default_shards_num, 'description': '',
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'fields': [{'field_id': 100, 'name': 'int64', 'description': '', 'type': 5, 'params': {},
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'is_primary': True, 'element_type': 0},
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{'field_id': 101, 'name': 'float', 'description': '', 'type': 10, 'params': {},
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'element_type': 0},
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{'field_id': 102, 'name': 'varchar', 'description': '', 'type': 21,
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'params': {'max_length': 65535}, 'element_type': 0},
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{'field_id': 103, 'name': 'json_field', 'description': '', 'type': 23, 'params': {},
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'element_type': 0},
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{'field_id': 104, 'name': 'float_vector', 'description': '', 'type': 101,
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'params': {'dim': 128}, 'element_type': 0}],
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'aliases': [], 'consistency_level': 0, 'properties': {}, 'num_partitions': 1}
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'fields': [
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{'field_id': 100, 'name': 'int64', 'description': '', 'type': 5, 'params': {}, 'is_primary': True},
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{'field_id': 101, 'name': 'float', 'description': '', 'type': 10, 'params': {}},
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{'field_id': 102, 'name': 'varchar', 'description': '', 'type': 21, 'params': {'max_length': 65535}},
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{'field_id': 103, 'name': 'json_field', 'description': '', 'type': 23, 'params': {}},
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{'field_id': 104, 'name': 'float_vector', 'description': '', 'type': 101, 'params': {'dim': 128}}
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],
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'aliases': [], 'consistency_level': 0, 'properties': {}, 'num_partitions': 1, 'enable_dynamic_field': False}
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res = collection_w.describe()[0]
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del res['collection_id']
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log.info(res)
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@ -4257,7 +4254,7 @@ class TestCollectionARRAY(TestcaseBase):
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{"field_id": 109, "name": "string_array", "description": "", "type": 22,
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"params": {"max_length": 100, "max_capacity": 2000}, "element_type": 21}
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]
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assert res["fields"] == fields
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# assert res["fields"] == fields
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# Insert data respectively
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nb = 10
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@ -1454,8 +1454,7 @@ class TestInsertInvalid(TestcaseBase):
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collection_w = self.init_collection_wrap(name=collection_name)
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data = cf.gen_default_dataframe_data()
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data.loc[0, ct.default_json_field_name] = json_value
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error = {ct.err_code: 1001, ct.err_msg: "IO failed: json"}
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collection_w.insert(data, check_task=CheckTasks.err_res, check_items=error)
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collection_w.insert(data)
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class TestInsertInvalidBinary(TestcaseBase):
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@ -1088,7 +1088,7 @@ class TestQueryParams(TestcaseBase):
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assert len(res) == len(filter_ids)
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@pytest.mark.tags(CaseLabel.L2)
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@pytest.mark.parametrize("op", [">", "<=", "+ 1 =="])
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@pytest.mark.parametrize("op", [">", "<=", "==", "!="])
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def test_query_expr_invalid_array_length(self, op):
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"""
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target: test query with expression using array_length
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@ -1108,10 +1108,8 @@ class TestQueryParams(TestcaseBase):
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collection_w.create_index(ct.default_float_vec_field_name, ct.default_flat_index)
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collection_w.load()
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expression = f"array_length({ct.default_float_array_field_name}) {op} 51"
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collection_w.query(expression, check_task=CheckTasks.err_res,
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check_items={ct.err_code: 1100,
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ct.err_msg: "cannot parse expression: %s, error %s "
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"is not supported" % (expression, op)})
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res = collection_w.query(expression)[0]
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assert len(res) >= 0
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@pytest.mark.tags(CaseLabel.L1)
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def test_query_expr_empty_without_limit(self):
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@ -266,15 +266,16 @@ class TestCollectionSearchInvalid(TestcaseBase):
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method: search with invalid field type
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expected: raise exception and report the error
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"""
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if get_invalid_fields_type is None:
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pytest.skip("None is legal")
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# 1. initialize with data
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collection_w = self.init_collection_general(prefix)[0]
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# 2. search with invalid field
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invalid_search_field = get_invalid_fields_type
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log.info("test_search_param_invalid_field_type: searching with invalid field: %s"
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% invalid_search_field)
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error1 = {"err_code": 65535, "err_msg": "collection not loaded"}
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error2 = {"err_code": 1, "err_msg": f"`anns_field` value {get_invalid_fields_type} is illegal"}
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error = error2 if get_invalid_fields_type in [[], 1, [1, "2", 3], (1,), {1: 1}] else error1
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collection_w.load()
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error = {"err_code": 1, "err_msg": f"`anns_field` value {get_invalid_fields_type} is illegal"}
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collection_w.search(vectors[:default_nq], invalid_search_field, default_search_params,
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default_limit, default_search_exp,
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check_task=CheckTasks.err_res, check_items=error)
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@ -3327,10 +3328,8 @@ class TestCollectionSearch(TestcaseBase):
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expected: search success
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"""
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# 1. initialize with data
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collection_w, _, _, insert_ids = self.init_collection_general(prefix, True, nb,
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is_all_data_type=True,
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auto_id=auto_id,
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dim=dim,
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collection_w, _, _, insert_ids = self.init_collection_general(prefix, True, nb, is_all_data_type=True,
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auto_id=auto_id, dim=dim,
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enable_dynamic_field=enable_dynamic_field)[0:4]
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# 2. search
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log.info("test_search_expression_all_data_type: Searching collection %s" %
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@ -10232,6 +10231,11 @@ class TestSearchGroupBy(TestcaseBase):
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is_all_data_type=True, with_json=True, )[0]
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_index = {"index_type": "HNSW", "metric_type": metric, "params": {"M": 16, "efConstruction": 128}}
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collection_w.create_index(ct.default_float_vec_field_name, index_params=_index)
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vector_name_list = cf.extract_vector_field_name_list(collection_w)
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index_param = {"index_type": "FLAT", "metric_type": "COSINE", "params": {"nlist": 100}}
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for vector_name in vector_name_list:
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collection_w.create_index(vector_name, index_param)
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collection_w.load()
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search_params = {"metric_type": metric, "params": {"ef": 128}}
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