mirror of https://github.com/milvus-io/milvus.git
[test]Update index issue for deploy test (#19945)
Signed-off-by: zhuwenxing <wenxing.zhu@zilliz.com> Signed-off-by: zhuwenxing <wenxing.zhu@zilliz.com>pull/19938/head
parent
e8ca754dca
commit
f1f305007f
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@ -9,7 +9,6 @@ from deploy.base import TestDeployBase
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from deploy.common import gen_index_param, gen_search_param, get_collections
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from utils.util_log import test_log as log
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default_nb = ct.default_nb
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default_nq = ct.default_nq
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default_dim = ct.default_dim
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@ -26,6 +25,7 @@ default_term_expr = f'{ct.default_int64_field_name} in [0, 1]'
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pymilvus_version = pymilvus.__version__
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class TestActionSecondDeployment(TestDeployBase):
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""" Test case of action before reinstall """
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@ -52,26 +52,28 @@ class TestActionSecondDeployment(TestDeployBase):
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is_binary = False
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if "BIN" in name:
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is_binary = True
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collection_w = self.init_collection_general(
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insert_data=False, name=name, is_binary=is_binary, active_trace=True)[0]
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collection_w, _ = self.collection_wrap.init_collection(name=name)
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schema = collection_w.schema
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data_type = [field.dtype.name for field in schema.fields]
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data_type = [field.dtype for field in schema.fields]
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field_name = [field.name for field in schema.fields]
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type_field_map = dict(zip(data_type,field_name))
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type_field_map = dict(zip(data_type, field_name))
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if is_binary:
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default_index_field = ct.default_binary_vec_field_name
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vector_index_type = "BIN_IVF_FLAT"
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else:
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default_index_field = ct.default_float_vec_field_name
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vector_index_type = "IVF_FLAT"
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vector_index_type = "IVF_FLAT"
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binary_vector_index_types = [index.params["index_type"] for index in collection_w.indexes if index.field_name == type_field_map.get("BINARY_VECTOR", "")]
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float_vector_index_types = [index.params["index_type"] for index in collection_w.indexes if index.field_name == type_field_map.get("FLOAT_VECTOR", "")]
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index_names = [index.index_name for index in collection_w.indexes] # used to drop index
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binary_vector_index_types = [index.params["index_type"] for index in collection_w.indexes if
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index.field_name == type_field_map.get(100, "")]
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float_vector_index_types = [index.params["index_type"] for index in collection_w.indexes if
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index.field_name == type_field_map.get(101, "")]
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index_field_map = dict([(index.field_name, index.index_name) for index in collection_w.indexes])
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index_names = [index.index_name for index in collection_w.indexes] # used to drop index
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vector_index_types = binary_vector_index_types + float_vector_index_types
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if len(vector_index_types) > 0:
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vector_index_type = vector_index_types[0]
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try:
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replicas, _ = collection_w.get_replicas(enable_traceback=False)
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replicas_loaded = len(replicas.groups)
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@ -86,32 +88,38 @@ class TestActionSecondDeployment(TestDeployBase):
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else:
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vectors_to_search = cf.gen_vectors(default_nb, default_dim)
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default_search_field = ct.default_float_vec_field_name
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search_params = gen_search_param(vector_index_type)[0]
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search_params = gen_search_param(vector_index_type)[0]
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# load if not loaded
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if replicas_loaded == 0:
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default_index_param = gen_index_param(vector_index_type)
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collection_w.create_index(default_index_field, default_index_param,
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index_name=index_field_map[default_index_field])
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collection_w.create_index(default_string_field_name, {},
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index_name=index_field_map[default_string_field_name])
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collection_w.load()
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# search and query
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if "empty" in name:
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# if the collection is empty, the search result should be empty, so no need to check
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check_task = None
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else:
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check_task = CheckTasks.check_search_results
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collection_w.search(vectors_to_search[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=check_task,
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check_items={"nq": default_nq,
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"limit": default_limit})
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"limit": default_limit})
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if "empty" in name:
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check_task = None
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else:
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check_task = CheckTasks.check_query_not_empty
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=check_task)
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check_task=check_task)
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# flush
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if pymilvus_version >= "2.2.0":
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@ -130,14 +138,14 @@ class TestActionSecondDeployment(TestDeployBase):
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output_fields=[ct.default_int64_field_name],
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check_task=check_task,
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check_items={"nq": default_nq,
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"limit": default_limit})
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"limit": default_limit})
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if "empty" in name:
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check_task = None
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else:
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check_task = CheckTasks.check_query_not_empty
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=check_task)
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check_task=check_task)
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# insert data and flush
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for i in range(2):
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self.init_collection_general(insert_data=True, is_binary=is_binary, nb=data_size,
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@ -146,7 +154,7 @@ class TestActionSecondDeployment(TestDeployBase):
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collection_w.flush()
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else:
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collection_w.collection.num_entities
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# delete data
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delete_expr = f"{ct.default_int64_field_name} in [0,1,2,3,4,5,6,7,8,9]"
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collection_w.delete(expr=delete_expr)
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@ -158,55 +166,64 @@ class TestActionSecondDeployment(TestDeployBase):
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output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_search_results,
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check_items={"nq": default_nq,
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"limit": default_limit})
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"limit": default_limit})
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_query_not_empty)
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check_task=CheckTasks.check_query_not_empty)
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# drop index if exist
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if len(index_names) > 0:
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for index_name in index_names:
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collection_w.release()
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collection_w.drop_index(index_name=index_name)
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# search and query after dropping index
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default_index_param = gen_index_param(vector_index_type)
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collection_w.create_index(default_index_field, default_index_param,
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index_name=index_field_map[default_index_field])
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collection_w.create_index(default_string_field_name, {},
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index_name=index_field_map[default_string_field_name])
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collection_w.load()
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collection_w.search(vectors_to_search[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_search_results,
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check_items={"nq": default_nq,
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"limit": default_limit})
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_query_not_empty)
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# create index
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default_index_param = gen_index_param(vector_index_type)
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collection_w.create_index(default_index_field, default_index_param,
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index_name=index_field_map[default_index_field])
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collection_w.create_index(default_string_field_name, {}, index_name=index_field_map[default_string_field_name])
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# search and query
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collection_w.search(vectors_to_search[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_search_results,
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check_items={"nq": default_nq,
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"limit": default_limit})
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_query_not_empty)
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# create index
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default_index_param = gen_index_param(vector_index_type)
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collection_w.create_index(default_index_field, default_index_param, index_name=cf.gen_unique_str())
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collection_w.create_index(default_string_field_name, {}, index_name=cf.gen_unique_str())
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# search and query
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collection_w.search(vectors_to_search[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_search_results,
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check_items={"nq": default_nq,
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"limit": default_limit})
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"limit": default_limit})
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_query_not_empty)
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check_task=CheckTasks.check_query_not_empty)
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# release and reload with changed replicas
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collection_w.release()
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replica_number = 1
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if replicas_loaded in [0,1] and len(ms.query_nodes)>=2 :
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if replicas_loaded in [0, 1] and len(ms.query_nodes) >= 2:
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replica_number = 2
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collection_w.load(replica_number=replica_number)
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# search and query
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collection_w.search(vectors_to_search[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_search_results,
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check_items={"nq": default_nq,
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"limit": default_limit})
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_search_results,
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check_items={"nq": default_nq,
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"limit": default_limit})
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_query_not_empty)
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check_task=CheckTasks.check_query_not_empty)
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