Practical aspects
Since we refer to the transfer of replicated data as streaming, it becomes natural to talk about the flow of data between nodes as if it were a river or stream. Cascaded data can flow through a series of nodes to create complex architectures. From the perspective of any node, it may have downstream nodes that receive replicated data from it and/or upstream nodes that send data to it. Practical limits need to be understood to allow us to understand and design replication architectures.
After a transaction commits on the master, the time taken to transfer data changes to a remote node is usually referred to as the latency, or replication delay. Once the remote node has received the data, changes must then be applied to the ...
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