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Join filters Join filters are a merge only feature that treats related data as a unit or partition.
Consider a case where you have a salesman table, which has a client table related by a common Sales Person ID key.
Further, you have an order table which is related to the client table by a client ID key.
If the clients were assigned to a new Sales Person and you had a filter on Sales Person ID, when you did the update of the Sales Person ID from let's say one to two, the rows in the client table would move to the subscription that matched the filter value.
Choose the appropriate profile Most of the fine tuning of merge replication topologies is done through the agent properties.
Microsoft has bundled collections of these properties together in groups called profiles, with each profile dedicated to a specific topology.
On high volume systems, this tracking data (or replication metadata) can become very large and can increase the amount of time required to synchronize. Drop the retention period to the smallest value possible.
The limit should be a time when you know all subscribers will synchronize within; otherwise you will need to reinitialize these subscribers.
Minimize conflicts A conflict occurs during a synchronization when: When doing a sync, the synchronization process attempts to merge all changes on both sides.
Depending on the type of conflict, a retry attempt is made after each batch is processed.
In some cases, it will make sense to create hierarchies where groups of subscribers will synchronize with one publisher.
This will in turn synchronize with another publisher further upstream.
Microsoft has published an article on how to improve merge replication performance, which is a helpful reference.Tags: Adult Dating, affair dating, sex dating