Abstract: Obtaining insights on how database system tables are evolving. In some instances, risk aware database system triggers that have read only access to the columns of interest are utilized, thereby allowing a user to fully study the changes made to the database system tables while maintaining the security and integrity of these database system tables. Additionally, these database system triggers can be used to audit changes that are happening on the database system tables using views.

Abstract: Obtaining insights on how database system tables are evolving. In some instances, risk aware database system triggers that have read only access to the columns of interest are utilized, thereby allowing a user to fully study the changes made to the database system tables while maintaining the security and integrity of these database system tables. Additionally, these database system triggers can be used to audit changes that are happening on the database system tables using views.

Abstract: In optimizing net change data replication across a plurality of transactions in a replication environment, a source replication engine at a source database system: obtains a window in a source database log for the net change data replication; for a given row identifier found in the source database log, identifies an initial operation and a latest operation across the plurality of transactions within the window; compares the initial operation and the latest operation for the given row identifier to determine a net change to a row associated with the given row identifier; and stores the net change as a final operation on the given row identifier in an optimization repository for replication to a target database. The operations stored in the optimization repository are then sent to a target database system for replication to the target database.

Abstract: In optimizing net change data replication across a plurality of transactions in a replication environment, a source replication engine at a source database system: obtains a window in a source database log for the net change data replication; for a given row identifier found in the source database log, identifies an initial operation and a latest operation across the plurality of transactions within the window; compares the initial operation and the latest operation for the given row identifier to determine a net change to a row associated with the given row identifier; and stores the net change as a final operation on the given row identifier in an optimization repository for replication to a target database. The operations stored in the optimization repository are then sent to a target database system for replication to the target database.

Abstract: In an approach for detecting and processing multiple audio signals simultaneously, an audiometric receiver system comprises a transmitter, wherein the transmitter comprises a digital signal processor, and wherein the digital signal processor comprises a quality check component, an amplifier or attenuator component, mixer component, a modulator component, and an encrypter component; and a receiver, wherein the receiver comprises a decrypter component, a demodulator component, a splitter component, and a second amplifier or attenuator component.

Abstract: A system and method for performing a dynamic rollover of source and target latency in a replication environment. One or more tables of a source data store being replicated to a target data store are parked, wherein any subsequent changes for the parked tables are not replicated to the target data store. Open transactions are identified where the parked tables affect the source and target latency, wherein the open transactions are in-progress and not completed. The source and target latency are then calculated for the identified open transactions.

Abstract: In an approach for database log management and log access performance improvement, a processor receives an access request for an optimal control file to minimize a database access performance impact. A processor determines the optimal control file based on usage of a plurality of control files for a database. A processor outputs the optimal control file to a user to access the database. A processor provides an incremental sub-control file of the optimal control file to the user. The incremental sub-control file is an incremental view of the optimal control file to query the incremental log data in the database.

Abstract: In an approach for database log management and log access performance improvement, a processor receives an access request for an optimal control file to minimize a database access performance impact. A processor determines the optimal control file based on usage of a plurality of control files for a database. A processor outputs the optimal control file to a user to access the database. A processor provides an incremental sub-control file of the optimal control file to the user. The incremental sub-control file is an incremental view of the optimal control file to query the incremental log data in the database.

Abstract: The present specification describes a system. The system includes a code generator to 1) generate a Morse code message from an intended message and 2) decode a received Morse code message. The system also includes a high-frequency transceiver to 1) transmit Morse code messages in the high frequency electromagnetic range and 2) receive Morse code messages in the high frequency electromagnetic range.

Abstract: A system and method for performing a dynamic rollover of source and target latency in a replication environment. One or more tables of a source data store being replicated to a target data store are parked, wherein any subsequent changes for the parked tables are not replicated to the target data store. Open transactions are identified where the parked tables affect the source and target latency, wherein the open transactions are in-progress and not completed. The source and target latency are then calculated for the identified open transactions.

Abstract: In optimizing net change data replication across a plurality of transactions in a replication environment, a source replication engine at a source database system: obtains a window in a source database log for the net change data replication; for a given row identifier found in the source database log, identifies an initial operation and a latest operation across the plurality of transactions within the window; compares the initial operation and the latest operation for the given row identifier to determine a net change to a row associated with the given row identifier; and stores the net change as a final operation on the given row identifier in an optimization repository for replication to a target database. The operations stored in the optimization repository are then sent to a target database system for replication to the target database.

Abstract: In optimizing net change data replication across a plurality of transactions in a replication environment, a source replication engine at a source database system: obtains a window in a source database log for the net change data replication; for a given row identifier found in the source database log, identifies an initial operation and a latest operation across the plurality of transactions within the window; compares the initial operation and the latest operation for the given row identifier to determine a net change to a row associated with the given row identifier; and stores the net change as a final operation on the given row identifier in an optimization repository for replication to a target database. The operations stored in the optimization repository are then sent to a target database system for replication to the target database.