mirror of https://github.com/milvus-io/milvus.git
157 lines
5.2 KiB
Python
157 lines
5.2 KiB
Python
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from enum import Enum
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from random import randint
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from time import sleep
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from base.collection_wrapper import ApiCollectionWrapper
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from common import common_func as cf
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from common import common_type as ct
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import constants
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from common.common_type import CheckTasks
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from utils.util_log import test_log as log
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class Op(Enum):
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create = 'create'
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insert = 'insert'
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flush = 'flush'
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index = 'index'
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search = 'search'
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query = 'query'
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unknown = 'unknown'
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timeout = 20
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class Checker:
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def __init__(self):
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self._succ = 0
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self._fail = 0
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self._running = True
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self.c_wrap = ApiCollectionWrapper()
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self.c_wrap.init_collection(name=cf.gen_unique_str('Checker_'),
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schema=cf.gen_default_collection_schema(),
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timeout=timeout)
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self.c_wrap.insert(data=cf.gen_default_list_data(nb=constants.ENTITIES_FOR_SEARCH),
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timeout=timeout)
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self.initial_entities = self.c_wrap.num_entities # do as a flush
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def total(self):
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return self._succ + self._fail
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def succ_rate(self):
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return self._succ / self.total() if self.total() != 0 else 0
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def terminate(self):
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self._running = False
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def reset(self):
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self._succ = 0
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self._fail = 0
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class SearchChecker(Checker):
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def __init__(self):
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super().__init__()
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self.c_wrap.load() # do load before search
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def keep_running(self):
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while self._running is True:
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search_vec = cf.gen_vectors(5, ct.default_dim)
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_, result = self.c_wrap.search(
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data=search_vec,
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anns_field=ct.default_float_vec_field_name,
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param={"nprobe": 32},
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limit=1, timeout=timeout, check_task=CheckTasks.check_nothing
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)
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if result:
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self._succ += 1
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else:
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self._fail += 1
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sleep(constants.WAIT_PER_OP / 10)
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class InsertFlushChecker(Checker):
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def __init__(self, flush=False):
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super().__init__()
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self._flush = flush
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self.initial_entities = self.c_wrap.num_entities
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def keep_running(self):
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while self._running:
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_, insert_result = \
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self.c_wrap.insert(data=cf.gen_default_list_data(nb=constants.DELTA_PER_INS),
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timeout=timeout, check_task=CheckTasks.check_nothing)
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if not self._flush:
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if insert_result:
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self._succ += 1
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else:
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self._fail += 1
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sleep(constants.WAIT_PER_OP / 10)
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else:
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if self.c_wrap.num_entities == (self.initial_entities + constants.DELTA_PER_INS):
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self._succ += 1
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self.initial_entities += constants.DELTA_PER_INS
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else:
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self._fail += 1
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class CreateChecker(Checker):
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def __init__(self):
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super().__init__()
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def keep_running(self):
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while self._running is True:
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_, result = self.c_wrap.init_collection(
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name=cf.gen_unique_str("CreateChecker_"),
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schema=cf.gen_default_collection_schema(),
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timeout=timeout, check_task=CheckTasks.check_nothing
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)
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if result:
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self._succ += 1
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self.c_wrap.drop(timeout=timeout)
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else:
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self._fail += 1
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sleep(constants.WAIT_PER_OP / 10)
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class IndexChecker(Checker):
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def __init__(self):
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super().__init__()
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self.c_wrap.insert(data=cf.gen_default_list_data(nb=5*constants.ENTITIES_FOR_SEARCH),
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timeout=timeout)
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log.debug(f"Index ready entities: {self.c_wrap.num_entities }") # do as a flush before indexing
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def keep_running(self):
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while self._running:
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_, result = self.c_wrap.create_index(ct.default_float_vec_field_name,
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constants.DEFAULT_INDEX_PARAM,
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name=cf.gen_unique_str('index_'),
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timeout=timeout, check_task=CheckTasks.check_nothing)
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if result:
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self._succ += 1
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self.c_wrap.drop_index(timeout=timeout)
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else:
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self._fail += 1
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class QueryChecker(Checker):
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def __init__(self):
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super().__init__()
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self.c_wrap.load() # load before query
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def keep_running(self):
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while self._running:
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int_values = []
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for _ in range(5):
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int_values.append(randint(0, constants.ENTITIES_FOR_SEARCH))
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term_expr = f'{ct.default_int64_field_name} in {int_values}'
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_, result = self.c_wrap.query(term_expr, timeout=timeout, check_task=CheckTasks.check_nothing)
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if result:
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self._succ += 1
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else:
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self._fail += 1
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sleep(constants.WAIT_PER_OP / 10)
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