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[test]Refine recall test (#21789)
Signed-off-by: zhuwenxing <wenxing.zhu@zilliz.com>
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@ -2,11 +2,12 @@ import h5py
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import numpy as np
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import numpy as np
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import time
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import time
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from pathlib import Path
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from pathlib import Path
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from loguru import logger
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import pymilvus
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import pymilvus
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from pymilvus import (
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from pymilvus import (
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connections,
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connections,
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FieldSchema, CollectionSchema, DataType,
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FieldSchema, CollectionSchema, DataType,
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Collection
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Collection, utility
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)
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)
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pymilvus_version = pymilvus.__version__
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pymilvus_version = pymilvus.__version__
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@ -37,13 +38,16 @@ def milvus_recall_test(host='127.0.0.1'):
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]
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]
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default_schema = CollectionSchema(
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default_schema = CollectionSchema(
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fields=default_fields, description="test collection")
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fields=default_fields, description="test collection")
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collection = Collection(name="sift_128_euclidean", schema=default_schema)
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name = f"sift_128_euclidean"
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logger.info(f"Create collection {name}")
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collection = Collection(name=name, schema=default_schema)
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nb = len(train)
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nb = len(train)
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batch_size = 50000
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batch_size = 50000
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epoch = int(nb / batch_size)
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epoch = int(nb / batch_size)
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t0 = time.time()
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t0 = time.time()
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for i in range(epoch):
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for i in range(epoch):
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print("epoch:", i)
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logger.info(f"epoch: {i}")
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start = i * batch_size
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start = i * batch_size
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end = (i + 1) * batch_size
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end = (i + 1) * batch_size
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if end > nb:
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if end > nb:
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@ -56,48 +60,60 @@ def milvus_recall_test(host='127.0.0.1'):
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]
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]
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collection.insert(data)
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collection.insert(data)
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t1 = time.time()
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t1 = time.time()
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print(f"\nInsert {nb} vectors cost {t1 - t0:.4f} seconds")
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logger.info(f"Insert {nb} vectors cost {t1 - t0:.4f} seconds")
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t0 = time.time()
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t0 = time.time()
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print(f"\nGet collection entities...")
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logger.info(f"Get collection entities...")
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if pymilvus_version >= "2.2.0":
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if pymilvus_version >= "2.2.0":
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collection.flush()
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collection.flush()
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else:
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else:
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collection.num_entities
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collection.num_entities
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print(collection.num_entities)
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logger.info(collection.num_entities)
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t1 = time.time()
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t1 = time.time()
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print(f"\nGet collection entities cost {t1 - t0:.4f} seconds")
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logger.info(f"Get collection entities cost {t1 - t0:.4f} seconds")
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# create index
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# create index
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default_index = {"index_type": "IVF_SQ8",
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default_index = {"index_type": "IVF_SQ8",
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"metric_type": "L2", "params": {"nlist": 64}}
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"metric_type": "L2", "params": {"nlist": 64}}
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print(f"\nCreate index...")
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logger.info(f"Create index...")
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t0 = time.time()
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t0 = time.time()
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collection.create_index(field_name="float_vector",
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collection.create_index(field_name="float_vector",
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index_params=default_index)
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index_params=default_index)
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t1 = time.time()
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t1 = time.time()
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print(f"\nCreate index cost {t1 - t0:.4f} seconds")
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logger.info(f"Create index cost {t1 - t0:.4f} seconds")
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# load collection
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# load collection
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replica_number = 1
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replica_number = 1
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print(f"\nload collection...")
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logger.info(f"load collection...")
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t0 = time.time()
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t0 = time.time()
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collection.load(replica_number=replica_number)
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collection.load(replica_number=replica_number)
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t1 = time.time()
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t1 = time.time()
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print(f"\nload collection cost {t1 - t0:.4f} seconds")
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logger.info(f"load collection cost {t1 - t0:.4f} seconds")
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res = utility.get_query_segment_info(name)
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cnt = 0
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logger.info(f"segments info: {res}")
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for segment in res:
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cnt += segment.num_rows
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assert cnt == collection.num_entities
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logger.info(f"wait for loading complete...")
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time.sleep(30)
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res = utility.get_query_segment_info(name)
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logger.info(f"segments info: {res}")
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# search
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# search
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topK = 100
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topK = 100
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nq = 10000
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nq = 10000
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search_params = {"metric_type": "L2", "params": {"nprobe": 10}}
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search_params = {"metric_type": "L2", "params": {"nprobe": 10}}
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t0 = time.time()
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print(f"\nSearch...")
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# define output_fields of search result
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# define output_fields of search result
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for i in range(3):
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t0 = time.time()
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logger.info(f"Search...")
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res = collection.search(
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res = collection.search(
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test[:nq], "float_vector", search_params, topK, output_fields=["int64"], timeout=TIMEOUT
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test[:nq], "float_vector", search_params, topK, output_fields=["int64"], timeout=TIMEOUT
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)
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)
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t1 = time.time()
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t1 = time.time()
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print(f"search cost {t1 - t0:.4f} seconds")
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logger.info(f"search cost {t1 - t0:.4f} seconds")
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result_ids = []
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result_ids = []
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for hits in res:
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for hits in res:
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result_id = []
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result_id = []
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@ -108,22 +124,22 @@ def milvus_recall_test(host='127.0.0.1'):
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# calculate recall
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# calculate recall
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true_ids = neighbors[:nq, :topK]
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true_ids = neighbors[:nq, :topK]
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sum_radio = 0.0
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sum_radio = 0.0
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logger.info(f"Calculate recall...")
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for index, item in enumerate(result_ids):
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for index, item in enumerate(result_ids):
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# tmp = set(item).intersection(set(flat_id_list[index]))
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# tmp = set(item).intersection(set(flat_id_list[index]))
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assert len(item) == len(true_ids[index])
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assert len(item) == len(true_ids[index])
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tmp = set(true_ids[index]).intersection(set(item))
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tmp = set(true_ids[index]).intersection(set(item))
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sum_radio = sum_radio + len(tmp) / len(item)
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sum_radio = sum_radio + len(tmp) / len(item)
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recall = round(sum_radio / len(result_ids), 3)
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recall = round(sum_radio / len(result_ids), 3)
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assert recall >= 0.95
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logger.info(f"recall={recall}")
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print(f"recall={recall}")
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assert 0.95 <= recall < 1.0, f"recall is {recall}, less than 0.95"
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# query
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# query
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expr = "int64 in [2,4,6,8]"
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expr = "int64 in [2,4,6,8]"
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output_fields = ["int64", "float"]
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output_fields = ["int64", "float"]
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res = collection.query(expr, output_fields, timeout=TIMEOUT)
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res = collection.query(expr, output_fields, timeout=TIMEOUT)
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sorted_res = sorted(res, key=lambda k: k['int64'])
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sorted_res = sorted(res, key=lambda k: k['int64'])
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for r in sorted_res:
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for r in sorted_res:
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print(r)
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logger.info(r)
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if __name__ == "__main__":
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if __name__ == "__main__":
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@ -2,6 +2,7 @@ import h5py
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import numpy as np
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import numpy as np
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import time
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import time
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from pathlib import Path
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from pathlib import Path
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from loguru import logger
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from pymilvus import connections, Collection
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from pymilvus import connections, Collection
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@ -27,14 +28,15 @@ def search_test(host="127.0.0.1"):
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nq = 10000
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nq = 10000
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topK = 100
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topK = 100
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search_params = {"metric_type": "L2", "params": {"nprobe": 10}}
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search_params = {"metric_type": "L2", "params": {"nprobe": 10}}
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for i in range(3):
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t0 = time.time()
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t0 = time.time()
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print(f"\nSearch...")
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logger.info(f"\nSearch...")
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# define output_fields of search result
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# define output_fields of search result
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res = collection.search(
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res = collection.search(
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test[:nq], "float_vector", search_params, topK, output_fields=["int64"], timeout=TIMEOUT
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test[:nq], "float_vector", search_params, topK, output_fields=["int64"], timeout=TIMEOUT
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)
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)
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t1 = time.time()
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t1 = time.time()
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print(f"search cost {t1 - t0:.4f} seconds")
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logger.info(f"search cost {t1 - t0:.4f} seconds")
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result_ids = []
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result_ids = []
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for hits in res:
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for hits in res:
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result_id = []
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result_id = []
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@ -51,8 +53,9 @@ def search_test(host="127.0.0.1"):
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tmp = set(true_ids[index]).intersection(set(item))
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tmp = set(true_ids[index]).intersection(set(item))
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sum_radio = sum_radio + len(tmp) / len(item)
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sum_radio = sum_radio + len(tmp) / len(item)
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recall = round(sum_radio / len(result_ids), 3)
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recall = round(sum_radio / len(result_ids), 3)
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assert recall >= 0.95, f"recall is {recall}, less than 0.95"
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logger.info(f"recall={recall}")
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print(f"recall={recall}")
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assert 0.95 <= recall < 1.0, f"recall is {recall}, less than 0.95"
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if __name__ == "__main__":
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if __name__ == "__main__":
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@ -38,4 +38,4 @@ minio==7.1.5
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h5py==3.1.0
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h5py==3.1.0
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# for log
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# for log
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loguru==0.5.3
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loguru==0.6.0
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