Question

I m 我想到的是将Mivus矢量储存在我方的“火焰”项目中,并查看PyMilvus(Python SDK)的文件。我没有发现任何关于以下方面的信息:

Is PyMilvus thread-safe?
Is PyMilvus fork-safe?
How does connection pooling work in the SDK?

你们能否帮助我解说?

正式文件所载资料太多。

Answer 1

目前,PyMilvus版本(v2.3.x)提供校对池或连接池。基本上,PyMilvus有一个全球目标“连接”,以保持客户与服务商的联系。

用户电话连接。建立联系:

from pymilvus import (
    connections,
}
connections.connect(host=HOST, port=PORT, alias="xxx")

This method has a parameter "alias", it is the name of the connection. The "connections" object internally maintains a map of name-to-connection. If you didn t provide the "alias", it will use "default" as the name of the connection.

当你宣布收件时,有“使用”的参数来说明连接名称。如果你不提供“使用”,就会使用“违约”连接。将通过这一途径收集所有接口。

collection = Collection(name=collection_name, using="xxx")
collection.insert()
collection.search()
......

The connection object is thread-safe, which means you can call the collection s interfaces from different threads. But the connection object cannot be shared by multiple sub-processes. So, if you fork a sub-process, you should ensure each subprocess creates its own connection by connections.connect().

Answer 2

PyMilvus客户即将进行大修。 Meantime I在。

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