Abstract: Systems and methods for facilitating confirmation of completion of a transaction for state synchronization over a non reliable network using signature processing are described. One of the methods includes receiving a read request from a first client, sending a last known signature with a context object to the first client in response to receiving the read request, and receiving an appended signature from the first client with a context object for a transaction at the first client. The appended signature includes the last known signature and an increment by the first client. The operation of receiving the appended signature occurs upon execution of the transaction at the first client. The method further includes updating the last known signature to the appended signature and sending the updated last known signature to the first client to facilitate marking of the transaction as complete resulting in a definitive state synchronization.

Abstract: Systems and methods for facilitating confirmation of completion of a transaction for state synchronization over a non reliable network using signature processing are described. One of the methods includes receiving a read request from a first client, sending a last known signature with a context object to the first client in response to receiving the read request, and receiving an appended signature from the first client with a context object for a transaction at the first client. The appended signature includes the last known signature and an increment by the first client. The operation of receiving the appended signature occurs upon execution of the transaction at the first client. The method further includes updating the last known signature to the appended signature and sending the updated last known signature to the first client to facilitate marking of the transaction as complete resulting in a definitive state synchronization.

Abstract: Systems and methods for facilitating confirmation of completion of a transaction(s) for state synchronization over a non reliable network using signature processing are described. One of the methods includes receiving a read request from a first client, sending a last known signature with a context object to the first client in response to receiving the read request, and receiving an appended signature from the first client with a context object for a transaction at the first client. The appended signature includes the last known signature and an increment by the first client. The operation of receiving the appended signature occurs upon execution of the transaction at the first client. The method further includes updating the last known signature to the appended signature and sending the updated last known signature to the first client to facilitate marking of the transaction as complete resulting in a definitive state synchronization.

Abstract: Systems and methods for facilitating confirmation of completion of a transaction(s) for state synchronization over a non reliable network using signature processing are described. One of the methods includes receiving a read request from a first client, sending a last known signature with a context object to the first client in response to receiving the read request, and receiving an appended signature from the first client with a context object for a transaction at the first client. The appended signature includes the last known signature and an increment by the first client. The operation of receiving the appended signature occurs upon execution of the transaction at the first client. The method further includes updating the last known signature to the appended signature and sending the updated last known signature to the first client to facilitate marking of the transaction as complete resulting in a definitive state synchronization.

Abstract: Automatically determining the conformance of database server schema. Maintaining conformance of database schema helps manage and sustain database driven services and applications. Schema for a pair of randomly selected databases are generated and compared. A diffgram is generated from the difference of the database schema. An alarm message can then be sent to an alarm server with the differences of the comparable databases. A master schema dump can be compared to selected database servers within the database system concurrently with the comparable database pair schema processing. A diffgram is generated in response to the comparison between the selected database schema and the master schema.

Abstract: Techniques for managing multiple versions of relational database schema data are described. Schema data associated with multiple versions of a relational database are maintained according to a database schema version management structure. Laws of set theory are applied to the structured database schema data to identify data definition language (DDL) and data manipulation language (DML) scripts that are associated with a particular version of the relational database. The identified scripts are then copied into an installation file that can be executed to create a full install of the particular version of the relational database. Similarly, laws of set theory are applied to the structured database schema data to identify DDL scripts, DML scripts, and drop scripts that are to be applied to upgrade from one version of the relational database to a newer version of the relational database.