mirror of https://github.com/milvus-io/milvus.git
test: change the number of insertion vectors (#34014)
pr: https://github.com/milvus-io/milvus/pull/33916 1. Fix case: test_collection_multi_sparse_vectors 2. Reduce the amount of data generated Signed-off-by: elstic <hao.wang@zilliz.com>pull/34025/head
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5f02e52561
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@ -1060,7 +1060,7 @@ class TestCollectionParams(TestcaseBase):
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# 2. create collection with multiple vectors
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c_name = cf.gen_unique_str(prefix)
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fields = [cf.gen_int64_field(is_primary=True), cf.gen_float_field(),
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cf.gen_float_vec_field(vector_data_type=ct.sparse_vector_data_type), cf.gen_float_vec_field(name="tmp", vector_data_type=sparse_vector_data_type)]
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cf.gen_float_vec_field(vector_data_type=ct.sparse_vector), cf.gen_float_vec_field(name="vec_sparse", vector_data_type=ct.sparse_vector)]
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schema = cf.gen_collection_schema(fields=fields)
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self.collection_wrap.init_collection(c_name, schema=schema,
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check_task=CheckTasks.check_collection_property,
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@ -12672,11 +12672,6 @@ class TestCollectionHybridSearchValid(TestcaseBase):
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search_res = collection_w.search(vector, vector_name_list[i],
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default_search_params, default_limit,
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default_search_exp,
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check_task=CheckTasks.check_search_results,
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check_items={"nq": 1,
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"ids": insert_ids,
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# "limit": default_limit
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}
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)[0]
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ids = search_res[0].ids
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for j in range(len(ids)):
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@ -12711,7 +12706,7 @@ class TestSparseSearch(TestcaseBase):
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c_name = cf.gen_unique_str(prefix)
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schema = cf.gen_default_sparse_schema(auto_id=False)
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collection_w, _ = self.collection_wrap.init_collection(c_name, schema=schema)
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data = cf.gen_default_list_sparse_data(nb=10000)
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data = cf.gen_default_list_sparse_data(nb=4000)
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collection_w.insert(data)
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params = cf.get_index_params_params(index)
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index_params = {"index_type": index, "metric_type": "IP", "params": params}
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@ -12805,7 +12800,7 @@ class TestSparseSearch(TestcaseBase):
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c_name = cf.gen_unique_str(prefix)
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schema = cf.gen_default_sparse_schema(auto_id=False)
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collection_w, _ = self.collection_wrap.init_collection(c_name, schema=schema)
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data = cf.gen_default_list_sparse_data(nb=10000)
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data = cf.gen_default_list_sparse_data(nb=4000)
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collection_w.insert(data)
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params = {"index_type": index, "metric_type": "IP", "params": {"drop_ratio_build": ratio}}
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collection_w.create_index(ct.default_sparse_vec_field_name, params, index_name=index)
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@ -12830,7 +12825,7 @@ class TestSparseSearch(TestcaseBase):
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c_name = cf.gen_unique_str(prefix)
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schema = cf.gen_default_sparse_schema()
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collection_w, _ = self.collection_wrap.init_collection(c_name, schema=schema)
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data = cf.gen_default_list_sparse_data(nb=10000)
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data = cf.gen_default_list_sparse_data(nb=4000)
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collection_w.insert(data)
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params = cf.get_index_params_params(index)
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index_params = {"index_type": index, "metric_type": "IP", "params": params}
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@ -12859,7 +12854,7 @@ class TestSparseSearch(TestcaseBase):
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c_name = cf.gen_unique_str(prefix)
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schema = cf.gen_default_sparse_schema()
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collection_w, _ = self.collection_wrap.init_collection(c_name, schema=schema)
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data = cf.gen_default_list_sparse_data(nb=10000)
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data = cf.gen_default_list_sparse_data(nb=4000)
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collection_w.insert(data)
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params = cf.get_index_params_params(index)
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index_params = {"index_type": index, "metric_type": "IP", "params": params}
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