2021-10-22 19:55:14 +08:00
|
|
|
# Copyright (C) 2019-2020 Zilliz. All rights reserved.
|
|
|
|
#
|
|
|
|
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
|
|
|
|
# with the License. You may obtain a copy of the License at
|
|
|
|
#
|
|
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
#
|
|
|
|
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
|
|
|
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
|
|
|
|
# or implied. See the License for the specific language governing permissions and limitations under the License.
|
|
|
|
|
|
|
|
|
|
|
|
import random
|
|
|
|
|
|
|
|
from pymilvus import (
|
|
|
|
connections, list_collections,
|
|
|
|
FieldSchema, CollectionSchema, DataType,
|
|
|
|
Collection
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
def hello_milvus(host="127.0.0.1"):
|
2021-11-17 20:29:27 +08:00
|
|
|
import time
|
2021-10-22 19:55:14 +08:00
|
|
|
# create connection
|
|
|
|
connections.connect(host=host, port="19530")
|
|
|
|
|
|
|
|
print(f"\nList collections...")
|
|
|
|
print(list_collections())
|
|
|
|
|
|
|
|
# create collection
|
|
|
|
dim = 128
|
|
|
|
default_fields = [
|
|
|
|
FieldSchema(name="count", dtype=DataType.INT64, is_primary=True),
|
|
|
|
FieldSchema(name="random_value", dtype=DataType.DOUBLE),
|
|
|
|
FieldSchema(name="float_vector", dtype=DataType.FLOAT_VECTOR, dim=dim)
|
|
|
|
]
|
|
|
|
default_schema = CollectionSchema(fields=default_fields, description="test collection")
|
|
|
|
|
|
|
|
print(f"\nCreate collection...")
|
|
|
|
collection = Collection(name="hello_milvus", schema=default_schema)
|
|
|
|
|
|
|
|
print(f"\nList collections...")
|
|
|
|
print(list_collections())
|
|
|
|
|
|
|
|
# insert data
|
|
|
|
nb = 3000
|
|
|
|
vectors = [[random.random() for _ in range(dim)] for _ in range(nb)]
|
2021-11-16 21:45:42 +08:00
|
|
|
t0 = time.time()
|
2021-10-22 19:55:14 +08:00
|
|
|
collection.insert(
|
|
|
|
[
|
|
|
|
[i for i in range(nb)],
|
|
|
|
[float(random.randrange(-20, -10)) for _ in range(nb)],
|
|
|
|
vectors
|
|
|
|
]
|
|
|
|
)
|
2021-11-16 21:45:42 +08:00
|
|
|
t1 = time.time()
|
|
|
|
print(f"\nInsert {nb} vectors cost {t1 - t0} seconds")
|
2021-10-22 19:55:14 +08:00
|
|
|
|
2021-11-17 15:53:11 +08:00
|
|
|
t0 = time.time()
|
2021-10-22 19:55:14 +08:00
|
|
|
print(f"\nGet collection entities...")
|
|
|
|
print(collection.num_entities)
|
2021-11-17 15:53:11 +08:00
|
|
|
t1 = time.time()
|
|
|
|
print(f"\nGet collection entities cost {t1 - t0} seconds")
|
2021-10-22 19:55:14 +08:00
|
|
|
|
|
|
|
# create index and load table
|
|
|
|
default_index = {"index_type": "IVF_FLAT", "params": {"nlist": 128}, "metric_type": "L2"}
|
|
|
|
print(f"\nCreate index...")
|
|
|
|
collection.create_index(field_name="float_vector", index_params=default_index)
|
|
|
|
print(f"\nload collection...")
|
2021-11-17 20:29:27 +08:00
|
|
|
t0 = time.time()
|
2021-10-22 19:55:14 +08:00
|
|
|
collection.load()
|
2021-11-17 20:29:27 +08:00
|
|
|
t1 = time.time()
|
|
|
|
print(f"\nload collection cost {t1 - t0} seconds")
|
2021-10-22 19:55:14 +08:00
|
|
|
|
|
|
|
# load and search
|
|
|
|
topK = 5
|
|
|
|
search_params = {"metric_type": "L2", "params": {"nprobe": 10}}
|
|
|
|
start_time = time.time()
|
|
|
|
print(f"\nSearch...")
|
|
|
|
# define output_fields of search result
|
|
|
|
res = collection.search(
|
|
|
|
vectors[-2:], "float_vector", search_params, topK,
|
|
|
|
"count > 100", output_fields=["count", "random_value"]
|
|
|
|
)
|
|
|
|
end_time = time.time()
|
|
|
|
|
|
|
|
# show result
|
|
|
|
for hits in res:
|
|
|
|
for hit in hits:
|
|
|
|
# Get value of the random value field for search result
|
|
|
|
print(hit, hit.entity.get("random_value"))
|
|
|
|
print("search latency = %.4fs" % (end_time - start_time))
|
|
|
|
|
2021-10-29 20:05:15 +08:00
|
|
|
#query
|
|
|
|
expr = "count in [2,4,6,8]"
|
|
|
|
output_fields = ["count", "random_value"]
|
|
|
|
res = collection.query(expr, output_fields)
|
|
|
|
sorted_res = sorted(res, key=lambda k: k['count'])
|
|
|
|
for r in sorted_res:
|
|
|
|
print(r)
|
2021-11-24 11:57:15 +08:00
|
|
|
collection.release()
|
2021-10-22 19:55:14 +08:00
|
|
|
|
|
|
|
import argparse
|
|
|
|
|
|
|
|
parser = argparse.ArgumentParser(description='host ip')
|
|
|
|
parser.add_argument('--host', type=str, default='127.0.0.1', help='host ip')
|
|
|
|
args = parser.parse_args()
|
|
|
|
|
2021-11-17 20:49:11 +08:00
|
|
|
# add time stamp
|
|
|
|
import time
|
|
|
|
print(f"\nStart time: {time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))}")
|
2021-10-22 19:55:14 +08:00
|
|
|
hello_milvus(args.host)
|