Abstract: Embodiments provide an approach for efficiently searching a temporal key index as well as enforcing key distinctiveness property in a database table corresponding to the index. For example, by addressing time range overlaps in an index having a sort order for temporal keys, a database management tool of a server system may efficiently process client requests while enforcing a temporal key property in the database table.

Abstract: Methods and arrangements for mapping a query operation to an accelerator are provided. The method includes receiving, by a processor, a query operation and determining the design logic of the query operation, receiving a configuration of one or more available accelerators and a design logic of each of the one or more available accelerators, and determining if the query operation can be offloaded to one or more of the one or more available accelerators. Based on a determination that the query operation can be offloaded to one or more of the one or more available accelerators, the method also includes creating software structures to interface with a selected accelerator and executing the query operation on the selected accelerator. Based on a determination that the query operation cannot be offloaded to one or more of the one or more available accelerators, the method further includes executing the query operation in software.

Abstract: Methods and arrangements for mapping a query operation to an accelerator are provided. The method includes receiving, by a processor, a query operation and determining the design logic of the query operation, receiving a configuration of one or more available accelerators and a design logic of each of the one or more available accelerators, and determining if the query operation can be offloaded to one or more of the one or more available accelerators. Based on a determination that the query operation can be offloaded to one or more of the one or more available accelerators, the method also includes creating software structures to interface with a selected accelerator and executing the query operation on the selected accelerator. Based on a determination that the query operation cannot be offloaded to one or more of the one or more available accelerators, the method further includes executing the query operation in software.

Abstract: Embodiments provide an approach for efficiently searching a temporal key index as well as enforcing key distinctiveness property in a database table corresponding to the index. For example, by addressing time range overlaps in an index having a sort order for temporal keys, a database management tool of a server system may efficiently process client requests while enforcing a temporal key property in the database table.

Abstract: Embodiments provide an approach for efficiently searching a temporal key index as well as enforcing key distinctiveness property in a database table corresponding to the index. For example, by addressing time range overlaps in an index having a sort order for temporal keys, a database management tool of a server system may efficiently process client requests while enforcing a temporal key property in the database table.

Abstract: Techniques are provided for encoded data processing which allows for continuous data processing as encoded data changes. Data is decomposed into one or more blocks with each block containing at least one data record. At least one data record within a given block is encoded with a first encoding process selected from one or more encoding processes. The first encoding process is associated with the given data block. Techniques evaluate whether or not to implement an encoding change for a given block when updating a given data record in the given block. Responsive to the evaluation, the given block is re-encoded with a second encoding process. Responsive to the re-encoding, the association of the given block is updated. A map is formed to convert the given data record encoded with the first encoding process to the second encoding process so as to preserve comparative relationships of the given data record.

Abstract: Techniques for encoded data processing which allow for continuous data processing as encoded data changes. Data is decomposed into one or more blocks with each block containing at least one data record. At least one data record within a given block is encoded with a first encoding process selected from one or more encoding processes. The first encoding process is associated with the given data block. Techniques evaluate whether or not to implement an encoding change for a given block when updating a given data record in the given block. Responsive to the evaluation, the given block is re-encoded with a second encoding process. Responsive to the re-encoding, the association of the given block is updated. A map is formed to convert the given data record encoded with the first encoding process to the second encoding process so as to preserve comparative relationships of the given data record.

Abstract: An apparatus comprises a hardware accelerator coupled to a memory. The hardware accelerator comprises one or more decompression units. The one or more decompression units are reconfigurable. The hardware accelerator may be a field-programmable gate array. The hardware accelerator may also comprise one or more reconfigurable scanner units. The one or more decompression units, in the aggregate, are operative to decompress one or more rows of a database at a bus speed of the coupling between the hardware accelerator and the memory. Two or more decompression units are operative to decompress two or more rows of a database in parallel. The apparatus allows for hardware accelerated row decompression.

Abstract: A method comprises streaming one or more pages of a database to a hardware accelerator, extracting one or more rows from each of the one or more pages of the database, determining whether a given one of the extracted rows is compressed, decompressing the given one of the extracted rows responsive to the determination and outputting the decompressed row. The decompressing step is performed in the hardware accelerator. The hardware accelerator may be a field-programmable gate array. The method allows for hardware accelerated row decompression.

Abstract: Techniques for encoded data processing which allow for continuous data processing as encoded data changes. Data is decomposed into one or more blocks with each block containing at least one data record. At least one data record within a given block is encoded with a first encoding process selected from one or more encoding processes. The first encoding process is associated with the given data block. Techniques evaluate whether or not to implement an encoding change for a given block when updating a given data record in the given block. Responsive to the evaluation, the given block is re-encoded with a second encoding process. Responsive to the re-encoding, the association of the given block is updated. A map is formed to convert the given data record encoded with the first encoding process to the second encoding process so as to preserve comparative relationships of the given data record.

Abstract: Techniques are provided for encoded data processing which allows for continuous data processing as encoded data changes. Data is decomposed into one or more blocks with each block containing at least one data record. At least one data record within a given block is encoded with a first encoding process selected from one or more encoding processes. The first encoding process is associated with the given data block. Techniques evaluate whether or not to implement an encoding change for a given block when updating a given data record in the given block. Responsive to the evaluation, the given block is re-encoded with a second encoding process. Responsive to the re-encoding, the association of the given block is updated. A map is formed to convert the given data record encoded with the first encoding process to the second encoding process so as to preserve comparative relationships of the given data record.

Abstract: Embodiments provide an approach for efficiently searching a temporal key index as well as enforcing key distinctiveness property in a database table corresponding to the index. For example, by addressing time range overlaps in an index having a sort order for temporal keys, a database management tool of a server system may efficiently process client requests while enforcing a temporal key property in the database table.

Abstract: A row property provides a mechanism for implementing advanced functional behavior in a relational database management system (RDBMS) without introducing new data types. A row property is part of a table definition, such that, when a table is defined in the RDBMS, at least one row property is specified for one or more associated columns of rows of the table, wherein the row property has an associated functional behavior that is predefined within the RDBMS. The columns associated with the row property are generally of existing data types supported by an RDBMS. A row property may be invoked when the RDBMS processes a language statement that references the row property. When the row property is invoked, the RDBMS executes programming logic associated with the row property, in order to perform the advanced functional behavior using data stored in the associated columns.

Abstract: A row property provides a mechanism for implementing advanced functional behavior in a relational database management system (RDBMS) without introducing new data types. A row property is part of a table definition, such that, when a table is defined in the RDBMS, at least one row property is specified for one or more associated columns of rows of the table, wherein the row property has an associated functional behavior that is predefined within the RDBMS. The columns associated with the row property are generally of existing data types supported by an RDBMS. A row property may be invoked when the RDBMS processes a language statement that references the row property. When the row property is invoked, the RDBMS executes programming logic associated with the row property, in order to perform the advanced functional behavior using data stored in the associated columns.

Abstract: A method and system for providing user-friendly access to a database are described. More particularly, embodiments of the present invention provide a database server. There is at least one database coupled to the database server, wherein the database server enables access to the at least one database. A user-defined interface configured to have access to the at least one database, wherein the user-defined interface is customized to have functionality to suit specific needs of a user.

Abstract: A system and method for providing an integrated storage appliance is disclosed. The storage appliance includes a storage subsystem, a process cluster coupled to the storage subsystem, and a customizable software stack that includes storage-access application so executed by the processor cluster, wherein subsystem, processor cluster and software stack are integrated such that the storage appliance exhibits greater combined reliability, higher availability, and higher serviceability characteristics than would be provided by a sum of the characteristics unintegrated components.

Abstract: A system and method for providing an integrated storage appliance is disclosed. The storage appliance includes a storage subsystem, a process cluster coupled to the storage subsystem, and a customizable software stack that includes storage-access application so executed by the processor cluster, wherein subsystem, processor cluster and software stack are integrated such that the storage appliance exhibits greater combined reliability, higher availability, and higher serviceability characteristics than would be provided by a sum of the characteristics unintegrated components.

Abstract: A method and system for providing user-friendly access to a database are described. More particularly, embodiments of the present invention provide a database server. There is at least one database coupled to the database server, wherein the database server enables access to the at least one database. A user-defined interface configured to have access to the at least one database, wherein the user-defined interface is customized to have functionality to suit specific needs of a user.

Abstract: A method and system for providing user-friendly access to a database are described. More particularly, embodiments of the present invention provide a database server. There is at least one database coupled to the database server, wherein the database server enables access to the at least one database. A user-defined interface configured to have access to the at least one database, wherein the user-defined interface is customized to have functionality to suit specific needs of a user.

Abstract: A system and method for providing an integrated storage appliance is disclosed. The storage appliance includes a storage subsystem, a process cluster coupled to the storage subsystem, and a customizable software stack that includes storage-access application so executed by the processor cluster, wherein subsystem, processor cluster and software stack are integrated such that the storage appliance exhibits greater combined reliability, higher availability, and higher serviceability characteristics than would be provided by a sum of the characteristics unintegrated components.