Data sharding splits a mobile database into smaller, more manageable pieces called shards. Each shard holds a subset of the data, improving query performance and enabling parallel processing. Sharding helps scale mobile applications by distributing data loads and minimizing access latency. In mobile environments, intelligent sharding strategies consider device storage limits and network conditions to optimize local data management and synchronization with servers.
Mobile Databases and Transaction Management
Transaction management ensures that a series of database operations mobile database execute completely or not at all, preserving data integrity. Mobile databases support atomic transactions to avoid partial updates that could corrupt data. Managing transactions locally becomes challenging when syncing with remote servers, requiring careful handling of commit protocols and rollback mechanisms to maintain consistency across distributed systems.
Mobile Databases and Data Replication Strategies
Data replication duplicates data across multiple nodes or devices to enhance availability and fault tolerance. Mobile databases employ replication strategies like master-slave or multi-master to synchronize data between the device and backend. Replication supports offline operation and quick recovery from failures but demands conflict resolution and efficient bandwidth use in mobile contexts.