Abstract: A computer-implemented method for improving database management includes selecting one or more database records that are requested based on a query statement. The one or more database records may are read from a first database file. The one or more database records are copied from the first database file and stored to a memory. The one or more database records are deleted from the first database file at substantially the same time as the reading the one or more database records. The reading and the deleting occur through a single read and delete input/output (I/O) operation.

Abstract: A computer system can generate a materialized query table (MQT) for data from a base table that has a plurality of rows and columns that each contain stored data. The computer system can receive a query to data stored in a row from the base table. The system can identify a column in the row and determine that data from a cell in the row and the column is above a threshold memory size. The system can generate, in response to determining that the data being above the threshold memory size, an MQT that includes data for the row and that includes a reference pointer that points to a location shared with another table.

Abstract: A computer system can generate a materialized query table (MQT) for data from a base table that has a plurality of rows and columns that each contain stored data. The computer system can receive a query to data stored in a row from the base table. The system can identify a column in the row and determine that data from a cell in the row and the column is above a threshold memory size. The system can generate, in response to determining that the data being above the threshold memory size, an MQT that includes data for the row and that includes a reference pointer that points to a location shared with another table.

Abstract: A computer system can generate a materialized query table (MQT) for data from a base table that has a plurality of rows and columns that each contain stored data. The computer system can receive a query to data stored in a row from the base table. The system can identify a column in the row and determine that data from a cell in the row and the column is above a threshold memory size. The system can generate, in response to determining that the data being above the threshold memory size, an MQT that includes data for the row and that includes a reference pointer that points to a location shared with another table.

Abstract: An index shared between a plurality of tables is used to access a data sharing space (DSS) storing a set of rows from a base table having a plurality of rows with stored data. First data values of the index are identified in response to a query for a table. A subset of rows is then retrieved from the DSS using the index elements corresponding to the first data values. Second data values and some of the first data values are then identified in response to a second query for a table. A second subset of rows are then retrieved from the DSS using the index elements corresponding to the second data values and some of the first data values and the query is then applied to the subset of rows.

Abstract: An index shared between a plurality of tables is used to access a data sharing space (DSS) storing a set of rows from a base table having a plurality of rows with stored data. First data values of the index are identified in response to a query for a table. A subset of rows is then retrieved from the DSS using the index elements corresponding to the first data values. Second data values and some of the first data values are then identified in response to a second query for a table. A second subset of rows are then retrieved from the DSS using the index elements corresponding to the second data values and some of the first data values and the query is then applied to the subset of rows.

Abstract: A computer-implemented method for improving database management includes selecting one or more database records that are requested based on a query statement. The one or more database records are read from a first database file. The one or more database records are copied from the first database file and stored to a memory. The one or more database records are deleted from the first database file at substantially the same time as the reading the one or more database records. The reading and the deleting occur through a single read and delete input/output (I/O) operation.

Abstract: An index shared between a plurality of tables is used to access a data sharing space (DSS) storing a set of rows from a base table having a plurality of rows with stored data. First data values of the index are identified in response to a query for a table. A subset of rows is then retrieved from the DSS using the index elements corresponding to the first data values. Second data values and some of the first data values are then identified in response to a second query for a table. A second subset of rows are then retrieved from the DSS using the index elements corresponding to the second data values and some of the first data values and the query is then applied to the subset of rows.

Abstract: A data sharing space (DSS) is generated for a base table having a set of rows with stored data. Requests are received to generate tables, each request including a query to the base table. A row from the set of rows is then accessed. The query is then applied to the row to generate results. An index value is then determined and a portion of the row is stored in the DSS based on the index value.

Abstract: A data sharing space (DSS) is generated for a base table having a set of rows with stored data. Requests are received to generate tables, each request including a query to the base table. A row from the set of rows is then accessed. The query is then applied to the row to generate results. An index value is then determined and a portion of the row is stored in the DSS based on the index value.

Abstract: A computer system can generate a materialized query table (MQT) for data from a base table that has a plurality of rows and columns that each contain stored data. The computer system can receive a query to data stored in a row from the base table. The system can identify a column in the row and determine that data from a cell in the row and the column is above a threshold memory size. The system can generate, in response to determining that the data being above the threshold memory size, an MQT that includes data for the row and that includes a reference pointer that points to a location shared with another table.

Abstract: A method and computer-readable storage media are provided for reorganizing a database. The method may monitor the database to determine whether the database reorganization is required. The method may also include determining the database reorganization is required. The method may further include determining a first and second amount of space to add to the database for additional entries of a category of data according to a first and second predictive sizing calculation. The method may further include the selecting of either the first or second amount of space to add to the database for additional entries of the category of data during the reorganization. The method may further include performing the reorganization of the database including allocating the selected amount of space to add to the database for additional entries in the database of the category of data by using the computer system operatively coupled to the storage device.

Abstract: A method and computer-readable storage media are provided for reorganizing a database. The method may monitor the database to determine whether the database reorganization is required. The method may also include determining the database reorganization is required. The method may further include determining a first and second amount of space to add to the database for additional entries of a category of data according to a first and second predictive sizing calculation. The method may further include the selecting of either the first or second amount of space to add to the database for additional entries of the category of data during the reorganization. The method may further include performing the reorganization of the database including allocating the selected amount of space to add to the database for additional entries in the database of the category of data by using the computer system operatively coupled to the storage device.

Abstract: A method for managing a database is disclosed. Managing the database includes managing a table of the database, the table having a set of fields including a first field in a first row of the table. Managing the table includes selecting, in the first field, a first input value configured to identify a first dynamic data function utilized to determine a first output value for the first field. Managing the table includes determining the first output value for the first field using the first dynamic data function. Managing the table includes returning (for a read request) the first output value for the first field.

Abstract: A system and a computer program product for managing a database are disclosed. Managing the database includes managing a table of the database, the table having a set of fields including a first field in a first row of the table. Managing the table includes selecting, in the first field, a first input value configured to identify a first dynamic data function utilized to determine a first output value for the first field. Managing the table includes determining the first output value for the first field using the first dynamic data function. Managing the table includes returning (for a read request) the first output value for the first field.

Abstract: A method, a system, and a computer program product for managing a database are disclosed. Managing the database includes managing an index of a table of the database. Managing the index includes determining the table includes a first field having a first input value configured to identify a first dynamic data function utilized to determine a first output value for the first field. In embodiments, managing the index includes determining the first dynamic data function is deterministic, determining the first output value for the first field using the first dynamic data function, and storing the first output value for the first field. In embodiments, managing the index includes determining the first dynamic data function is nondeterministic, determining a first special value to represent the first output value for the first field, and storing the first special value for the first field.

Abstract: A method, a system, and a computer program product for managing a database are disclosed. Managing the database includes managing a table of the database, the table having a set of fields including a first field in a first row of the table. Managing the table includes selecting, in the first field, a first input value configured to identify a first dynamic data function utilized to determine a first output value for the first field. Managing the table includes determining the first output value for the first field using the first dynamic data function. Managing the table includes returning (for a read request) the first output value for the first field.

Abstract: A method, a system, and a computer program product for managing a database are disclosed. Managing the database includes managing a table of the database, the table having a set of fields including a first field in a first row of the table. Managing the table includes selecting, in the first field, a first input value configured to identify a first dynamic data function utilized to determine a first output value for the first field. Managing the table includes determining the first output value for the first field using the first dynamic data function. Managing the table includes returning (for a read request) the first output value for the first field.

Abstract: An apparatus and method utilize partitioned database tables divided into data allocation containers (DACs) where data is placed into the DACs based on usage of the data in past queries. Records that are used most often are placed together and records that are used less often are placed together to improve database performance. In preferred embodiments, a database manager determines where to place data into the DACs based on how often the data is selected by a database query using a DAC selection ratio (DSR). The database manager may determine when to perform table maintenance to move rows of data to the appropriate DACs based on a timestamp or last check date (LCD) stored in the database.

Abstract: Techniques are disclosed for selecting between query execution plans in part based on virtual machine (VM) mirroring costs. In one embodiment, a query optimizer determines runtimes for multiple query execution plans, and modifies these runtimes based on flashing cost, which is itself determined based on the amount of memory which needs to be flashed to the secondary memory if each execution plan is executed. In so doing, the query optimizer may select a execution plan which takes a longer to run, but incurs less flashing cost. By considering both the query runtime itself and the flashing cost, the query optimizer may be better able to determine the fastest query execution plan to execute.