Zuora, Inc.

Junyi Song

Sean Mahbod

Liangqi Wang

A self-healing data synchronization process includes an initial stage in which a collection of data change events is received, a set of data record(s) corresponding to the data change event(s) is identified, and a syncing of the set of data record(s) is initiated. Data that indicates which data record(s) successfully synced and which failed is stored. During a subsequent stage of the self-healing process, data change events that occurred during a preceding time horizon are identified, a corresponding first set of data record(s) are identified, a difference between the first set and a second set of data record(s) that successfully synced during the time horizon is determined as a third set of data record(s), and any data record that was attempted to be synced during the time horizon but failed is excluded from the third set. A sync of any data record remaining in the third set is then initiated.

Self-healing data synchronization

A data sync cache is maintained to facilitate syncing of child data objects between a first computing system and a second computing system. Responsive to successful syncing of a parent data object of a child data object by a first sync engine, parent object data sync information indicating that the parent data object was successfully synced is written to the data sync cache. Prior to initiating a sync of the child data object by a second sync engine different from the first sync engine, a cache lookup of the data sync cache is performed to determine if the sync information is contained therein. If the data sync cache includes the sync information, the child data object sync is initiated. In this manner, failed syncs of child data objects are reduced along with the expensive API calls to the second computing system that would otherwise be required to retry failed syncs.

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San Mateo, CA, United States of America

Junyi Song