Initial synchronization based on file copy

[mouakter14]

You can only run this if you are using MongoDB Enterprise. This process performs the initial sync by duplicating and moving files on the file system. This method of synchronization can be faster than the logical initial sync in some cases. Note that the file copy-based initial sync can result in inaccurate counts if you run the count() method without a query predicate.

But this method also has its limitations:

During an initial file copy-based synchronization, you cannot write to the local database of the node being synchronized. You also cannot run a backup on the node being synchronized to or the member being synchronized from.
When leveraging the encrypted storage engine, MongoDB uses the source key to encrypt the destination key.
You can only run an initial sync from a given node at a time.
Replication
Secondary nodes replicate data consistently after the initial greece whatsapp number data synchronization. Secondary nodes will duplicate the oplog of their synchronization from the source and perform these operations in an asynchronous process.

Secondaries are able to automatically modify their synchronization from the source as needed, based on changes in ping time and the replication status of other nodes.

Replication in flow
Starting with MongoDB 4.4, synchronization from sources sends a continuous stream of oplog entries to their synchronization slaves. Streaming replication reduces replication delay on high-load, high-latency networks. It can also:

Reduce the risk of losing write operations w:1due to primary failover.
Reduce the reading stagnation of secondary school students.
Reduce latency on write operations with w:“majority”and w:>1. In short, any write concerns that need to wait for replication.
Multithreaded replication
MongoDB used to write batch operations across multiple threads to improve concurrency. MongoDB groups batches by document ID while applying each group of operations with a different thread.

[yadaysrdone]

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