Dropbox, Inc.

Robert Escriva

Mihnea Cezar Giurgea

Mehant Baid

Daniel K Tahara

Techniques are provided for a linearizable primary-secondary database system that replicates database data with eventual consistency. The techniques include obtaining a logical clock value of a logical clock that orders transactions committed at a primary database system that includes a primary database. The logical clock value is obtained after a write transaction is committed at the primary database system and while processing a read request. The logical clock value is used to determine whether a secondary database is in a consistent replication state corresponding to the logical clock value with respect to the primary database. The read request is maintained in a linger state while the secondary database is not yet in the consistent replication state. The read request exits the linger state and is allowed to be processed against the secondary database after the secondary database has reached the consistent replication state.

Techniques for a linearizable primary-secondary database system that replicates database data with eventual consistency

Shared hash map implementations provide a linearizable programmatic interface to calling threads and support lock-free hash map operations. In addition to supporting lock-free operation, the shared hash map implementations are especially useful where the hash map is stored in a fixed-sized memory location such as, for example, in a shared memory segment, or in other situations where resizing the hash map is impractical or not desired.

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San Francisco, CA, United States of America

Robert Escriva