35 lines
1.4 KiB
Python
35 lines
1.4 KiB
Python
from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection ,utility
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#测试环境建好了 114.55.115.191:19530
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# 连接到 Milvus
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#connections.connect("default", host="114.55.115.191", port="19530")#本地测试
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#connections.connect("default", host="124.71.157.162", port="19530")#生产环境
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# connections.connect("default", host="124.70.129.232", port="19530")#测试环境
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#connections.connect("default", host="1.94.113.19", port="19530")#测试环境13
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connections.connect("default", host="1.94.60.103", port="19530")#测试环境103
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#connections.connect("default", host="192.168.0.129", port="19530")
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collections = utility.list_collections()
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#生产：1.94.179.121
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#测试：114.55.115.191
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# 输出集合列表
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print("Collections in Milvus:")
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for collection in collections:
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print(collection)
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collection = Collection(name='pdf_measure_v4')
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# 获取集合的详细信息
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#print(f"Collection name: {collection.name}")
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print(f"Collection schema: {collection.schema}")
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print(f"Number of entities in collection: {collection.num_entities}")
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search_vectors = collection.load()
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entities = collection.query(expr="file_id == '39369'", output_fields=["table_num","table_index","measure_name","measure_value","measure_unit","file_id"],limit = 10)
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count = 0
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# # # 输出集合中的数据
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print("Data in collection:")
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for entity in entities:
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print(entity)
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count += 1
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print(f'这个条件下数据量为{count}')
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connections.disconnect('default') |