Abstract: A structured query language (SQL) query is configured to present a selected portion of a result set to a user interface. The selected portion of the result set can be based on an offset criteria appended to the SQL query. The offset criteria determines a location of a first presented instance of the selected portion of the result set. The offset criteria is configured to determine the location of the first presented instance of the selected portion of the result set independent of a number of instances appearing between a first instance of the result set and the first presented instance of the selected portion of the result set.

Abstract: A method, system, and computer program product to manage a database is disclosed. The method, system, and computer program product may include structuring the database to have a first table having an index and a second table. A first key of the first table may be related to a second key of the second table. The method, system, and computer program product may include creating an entry locator in the index. The method, system, and computer program product may include maintaining an association between the second key of the second table and the entry locator of the index.

Abstract: Aggregating database entry modifications for replay of database changes includes: inserting, in a journal modification table, of database entry modifications, where each database entry is associated with a relative record number; and, for each relative record number: aggregating, in the journal modification table, a plurality of the modifications into a single modification.

Abstract: A method, system, and computer program product to manage a database is disclosed. The method, system, and computer program product may include structuring the database to have a first table having an index and a second table. A first key of the first table may be related to a second key of the second table. The method, system, and computer program product may include creating an entry locator in the index. The method, system, and computer program product may include maintaining an association between the second key of the second table and the entry locator of the index.

Abstract: Aggregating database entry modifications for replay of database changes includes: inserting, in a journal modification table, of database entry modifications, where each database entry is associated with a relative record number; and, for each relative record number: aggregating, in the journal modification table, a plurality of the modifications into a single modification.

Abstract: Each of one or more commit cycles may be associated with a predicted number of updates. A statistics collection time for a database table can be determined by estimating a sum of predicted updates included in one or more commit cycles. Whether the estimated sum of predicted updates is greater than a first threshold may be determined. In addition, a progress point for a first one of the commit cycles can be determined. A time to collect statistics may be selected based on the progress point of the first commit cycle.

Abstract: Each of one or more commit cycles may be associated with a predicted number of updates. A statistics collection time for a database table can be determined by estimating a sum of predicted updates included in one or more commit cycles. Whether the estimated sum of predicted updates is greater than a first threshold may be determined. In addition, a progress point for a first one of the commit cycles can be determined. A time to collect statistics may be selected based on the progress point of the first commit cycle.

Abstract: A method, apparatus and program product that determine a density of a key value referenced in a database query over at least one range of rows, and utilize the determined density to optimize the database query. By doing so, the density of various key values may be determined and compared, and a bit map may be generated over the range of rows of the key value that is denser, resulting in a reduction of resources to build and use the bit map. Moreover, from the bit map over the range of rows to be selected after using the determined density, dense regions may be identified that can be used to optimize block I/O's according to the number of rows to be selected based on the query.

Abstract: Each of one or more commit cycles may be associated with a predicted number of updates. A statistics collection time for a database table can be determined by estimating a sum of predicted updates included in one or more commit cycles. Whether the estimated sum of predicted updates is greater than a first threshold may be determined. In addition, a progress point for a first one of the commit cycles can be determined. A time to collect statistics may be selected based on the progress point of the first commit cycle.

Abstract: Disclosed aspects relate to transforming a user-defined table function (UDTF) to a derived table in a database management system (DBMS). It may be detected by the DBMS that a query indicates the UDTF. A derived table may be constructed from the UDTF. The derived table may be derived from a set of statements of the UDTF. The derived table may be introduced to the query to fulfill the UDTF. A query plan may be generated for the query by the DBMS. The query plan may be generated in response to introducing the derived table in the query.

Abstract: Each of one or more commit cycles may be associated with a predicted number of updates. A statistics collection time for a database table can be determined by estimating a sum of predicted updates included in one or more commit cycles. Whether the estimated sum of predicted updates is greater than a first threshold may be determined. In addition, a progress point for a first one of the commit cycles can be determined. A time to collect statistics may be selected based on the progress point of the first commit cycle.

Abstract: A respective volatility attribute associated with each of one or more tables of a computerized database is used to determine circumstances under which a page of table data is paged out of memory, by preferentially retaining pages from volatile database tables in memory. Various optional additional uses of a volatility attribute to manage a database are disclosed. Preferably, database parameters are automatically monitored over time and database table volatility state is automatically determined and periodically adjusted.

Abstract: A respective volatility attribute associated with each of one or more tables of a computerized database is used to determine circumstances under which a page of table data is paged out of memory, by preferentially retaining pages from volatile database tables in memory. Various optional additional uses of a volatility attribute to manage a database are disclosed. Preferably, database parameters are automatically monitored over time and database table volatility state is automatically determined and periodically adjusted.

Abstract: A respective volatility attribute associated with each of one or more tables of a computerized database is used in any of various aspects to (a) determine how table data is stored in a physical storage device; (b) regulate the use of a materialized query table using database table data; and/or (c) influence circumstances under which indexes are created or advised by database analytic software. Various optional additional uses of a volatility attribute to manage a database are disclosed. Preferably, database parameters are automatically monitored over time and database table volatility state is automatically determined and periodically adjusted.

Abstract: In an embodiment, a first key value is received. A plurality of candidate rows are found in a database table, wherein the plurality of candidate rows are deleted. For the plurality of candidate rows, a plurality of respective impacts on a plurality of respective densities of each of other key values that are stored within a first key range of the first key value are calculated. For the plurality of candidate rows, a plurality of function results of the plurality of respective impacts on the plurality of respective densities are calculated. A selected candidate row of the plurality of candidate rows with a smallest function result of the plurality of function results of the plurality of respective impacts on the plurality of respective densities is selected. The first key value is stored to the selected candidate row.

Abstract: Disclosed aspects relate to query plan management associated with a shared pool of configurable computing resources. A query, which relates to a set of data located on the shared pool of configurable computing resources, is detected. A virtual machine includes the set of data. With respect to the virtual machine, a set of burden values of performing a set of asset actions is determined. Based on the set of burden values, a query plan to access the set of data is established. Using at least one asset action of the set of asset actions, the query plan is processed.

Abstract: Systems and methods for providing automatic fork protection including determining that a transaction having fork protection was included in a first block that was appended to a blockchain, that a hash of the first block was validated, that a consensus decision was made by validator nodes approving the first block for addition to the blockchain, that a second block was appended to the blockchain after the first block, that the second block comprises a hash that is not based on the first block, that the first block was on a first fork and the second block was on a second fork, that the blockchain was resolved in favor of the second fork, and that the transaction failed as a result of the blockchain being resolved in favor of the second fork. The method including compensating a party that submitted the failed transaction based on the fork protection.

Abstract: Disclosed aspects relate to query plan management associated with a shared pool of configurable computing resources. A query, which relates to a set of data located on the shared pool of configurable computing resources, is detected. A virtual machine includes the set of data. With respect to the virtual machine, a set of burden values of performing a set of asset actions is determined. Based on the set of burden values, a query plan to access the set of data is established. Using at least one asset action of the set of asset actions, the query plan is processed.

Abstract: Systems, methods, and computer program products to perform an operation comprising upon determining that a received query requests values of sensitive data stored in a secure database table of a database, computing a security score for the received query based on a determined specificity of a selection predicate of the received query, and upon determining that the security score exceeds a security threshold, performing a predefined operation to restrict access to the requested values of the sensitive data.

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.