Abstract: Processing non-Boolean term conditions in database queries. A query that is a request for data in a database is received and includes at least one uneven non-Boolean term condition that spans multiple tables in the database. The non-Boolean term condition is split into separate portions, each of the portions providing a Boolean term that can be satisfied by accessing one table in the database. The separate portions are executed independently to find at least one data result in the database that satisfies the Boolean term of each separate portion, and the data result from each separate portion are combined into a final result that satisfies the query.

Abstract: A system for executing a query on data that has been partitioned into a plurality of partitions is provided. The system includes providing partitioned data including one or more columns and the plurality of partitions. The partitioned data includes a limit key value associated with each column for a given partition. The system further includes receiving a query including a predicate on one of the one or more columns of the partitioned data; and utilizing the predicate on the one of the one or more columns in a pruning decision on at least one of the one or more partitions based on the limit key values associated with the plurality of partitions.

Abstract: Techniques are provided that determine that a query includes at least one subquery that may be correlated or decorrelated. An internal representation of the query that represents the subquery in both correlated and decorrelated form is generated, wherein the internal representation includes at least one virtual table.

Abstract: A system for executing a query on data that has been partitioned into a plurality of partitions is provided. The system includes providing partitioned data including one or more columns and the plurality of partitions. The partitioned data includes a limit key value associated with each column for a given partition. The system further includes receiving a query including a predicate on one of the one or more columns of the partitioned data; and utilizing the predicate on the one of the one or more columns in a pruning decision on at least one of the one or more partitions based on the limit key values associated with the plurality of partitions.

Abstract: Processing non-Boolean term conditions in database queries. A query that is a request for data in a database is received and includes at least one uneven non-Boolean term condition that spans multiple tables in the database. The non-Boolean term condition is split into separate portions, each of the portions providing a Boolean term that can be satisfied by accessing one table in the database. The separate portions are executed independently to find at least one data result in the database that satisfies the Boolean term of each separate portion, and the data result from each separate portion are combined into a final result that satisfies the query.

Abstract: Processing non-Boolean term conditions in database queries. A query that is a request for data in a database is received and includes at least one uneven non-Boolean term condition that spans multiple tables in the database. The non-Boolean term condition is split into separate portions, each of the portions providing a Boolean term that can be satisfied by accessing one table in the database. The separate portions are executed independently to find at least one data result in the database that satisfies the Boolean term of each separate portion, and the data result from each separate portion are combined into a final result that satisfies the query.

Abstract: Methods for executing a query on data that has been partitioned into a plurality of partitions are provided. The method includes providing partitioned data including one or more columns and the plurality of partitions. The partitioned data includes a limit key value associated with each column for a given partition. The method further includes receiving a query including a predicate on one of the one or more columns of the partitioned data; and utilizing the predicate on the one of the one or more columns in a pruni.ng decision on at least one of the one or more partitions based on the limit key values associated with the plurality of partitions.

Abstract: Techniques are provided that determine that a query includes at least one subquery that may be correlated or decorrelated. An internal representation of the query that represents the subquery in both correlated and decorrelated form is generated, wherein the internal representation includes at least one virtual table.

Abstract: Techniques are provided that determine that a query includes at least one subquery that may be correlated or decorrelated. An internal representation of the query that represents the subquery in both correlated and decorrelated form is generated, wherein the internal representation includes at least one virtual table.

Abstract: Provided are a method, system, and program for selecting a join order for tables subject to a join operation. An estimation is made of a join cost to perform joins on permutations of at least two of the tables, wherein each join permutation indicates an order of joining the tables. A determination is made as to whether sufficient computational resources are available to perform a join cost analysis of further join permutations of the tables. If sufficient computational resources are not available, then a determination is made of a restricted subset of remaining join permutations of at least two of the tables for which join costs have not been estimated that is less than all the remaining join permutations. The join costs of permutations of tables in the restricted subset is estimated and the estimated join costs are used to select one join permutation of all the tables having a lowest estimated join cost.

Abstract: Provided are a method, system, and program for selecting a join order for tables subject to a join operation. An estimation is made of a join cost to perform joins on permutations of at least two of the tables, wherein each join permutation indicates an order of joining the tables. A determination is made as to whether sufficient computational resources are available to perform a join cost analysis of further join permutations of the tables. If sufficient computational resources are not available, then a determination is made of a restricted subset of remaining join permutations of at least two of the tables for which join costs have not been estimated that is less than all the remaining join permutations. The join costs of permutations of tables in the restricted subset is estimated and the estimated join costs are used to select one join permutation of all the tables having a lowest estimated join cost.

Abstract: The system, method, and program of this invention collects multi-column statistics, by a database management system, to reflect a relationship among multiple columns of a table in a relational database. These statistics are stored in the system catalog, and are used during query optimization to obtain an estimate of the number of qualifying rows when a query has predicates on multiple columns of a table. A multi-column linear quantile statistic is collected by dividing the data of multiple columns into sub-ranges where each sub-range has approximately an even distribution of data, and determining a frequency and cardinality of each sub-range. A multi-column polygonal quantile statistic is collected by dividing the data of multiple columns into sub-spaces where each sub-space contains approximately the same number of tuples, and determining a frequency and cardinality of each sub-space.

Abstract: A method, apparatus, and article of manufacture for an index screening system. A query is executed to access data stored on a data storage device connected to a computer. In particular, while accessing one or more indexes to retrieve row identifiers, index matching predicates in the query are applied to select row identifiers and index screening predicates in the query are applied to eliminate one or more selected row identifiers.

Abstract: Data is loaded to a data structure while an image copy of the data structure is concurrently formed. After data records are obtained from one or more data sources, each of the data records is associated with one of multiple pages. As each page is completed, it is written to a primary data structure. Also upon completion of each page in the primary data structure, concurrently with storage of the page in the primary data structure, an image copy of the page is made in an image copy data set. Partially or completely failed primary data structures may also be restored using image copies made according to the invention. Timestamps mark the time at which each page are made; image copy pages include the same timestamp as their respective primary pages. Upon detecting a data structure failure, each page of the image copy is sequentially reviewed. For each image page being reviewed, the page's timestamp is compared with the timestamp of the corresponding page from the primary data structure.

Abstract: The present invention includes reorganization of a Database Management System (DBMS). The reorganization of the present invention is implemented by recording a first current Relative Byte Address (RBA). Then, data is copied from the old area in the table space to a new area in the table space in reorganized form. In the present invention, throughout most of reorganization a user maintains access to the DBMS's normal facilities to read and write to the old area. The DBMS uses its normal facilities to record writing, which occurs during reorganization, in a log. The reorganization in accordance with the present invention reads the log (that has been written to during reorganization) and processes the log to the new area to bring the new area up to date. This process is performed with the use of a RID mapping table. Finally, at the end of reorganization, the user's access is switched from the old area to the new area.

Abstract: The system, method, and program of this invention collects multi-column statistics, by a database management system, to reflect a relationship among multiple columns of a table in a relational database. These statistics are stored in the system catalog, and are used during query optimization to obtain an estimate of the number of qualifying rows when a query has predicates on multiple columns of a table.A multi-column linear quantile statistic is collected by dividing the data of multiple columns into sub-ranges where each sub-range has approximately an even distribution of data, and determining a frequency and cardinality of each sub-range. A multi-column polygonal quantile statistic is collected by dividing the data of multiple columns into sub-spaces where each sub-space contains approximately the same number of tuples, and determining a frequency and cardinality of each sub-space.

Abstract: A relational data base management system includes a query processor that permits consideration of alternative user-specified access paths, which the processor will validate and incorporate into the query execution plan it otherwise generates. The optimizer of the query processor retrieves user-specified data that defines an access path for a query during bind operations. Any access path parameters that are invalid are replaced with processor-selected values.

Abstract: The present invention includes reorganization of a Database Management System (DBMS) The reorganization of the present invention is implemented by recording a first current Relative Byte Address (RBA) Then, data is copied from the old area in the table space to a new area in the table space in reorganized form. In the present invention, throughout most of reorganization a user maintains access to the DBMS's normal facilities to read and write to the old area. The DBMS uses its normal facilities to record writing, which occurs during reorganization, in,a log. The reorganization in accordance with the present invention reads the log (that has been written to during reorganization) and processes the log to the new area to bring the new area up to date. This process is performed with the use of a RID mapping table. Finally, at the end of reorganization, the user's access is switched from the old area to the new area.