Abstract: The invention relates to a computer-implemented method for processing a query in a database, the query comprising a search value. The database comprises a plurality of datasets the datasets comprising entries, wherein distance statistics are assigned to the datasets. The distance statistics describe the minimum and maximum distance between the values of the entries of a dataset of the plurality of datasets and a reference value. The method comprises determining the distance between the search value and the reference value, said determination resulting in a search distance, determining a subset of datasets from the plurality of datasets for which the search distance is within the limits given by the minimum and maximum distances described by the respective distance statistics, and searching for the search value in the subset of datasets.

Abstract: The invention relates to a computer-implemented method for processing a query in a database, the query comprising a search value. The database comprises a plurality of datasets the datasets comprising entries, wherein distance statistics are assigned to the datasets. The distance statistics describe the minimum and maximum distance between the values of the entries of a dataset of the plurality of datasets and a reference value. The method comprises determining the distance between the search value and the reference value, said determination resulting in a search distance, determining a subset of datasets from the plurality of datasets for which the search distance is within the limits given by the minimum and maximum distances described by the respective distance statistics, and searching for the search value in the subset of datasets.

Abstract: The invention relates to a computer-implemented method for processing a query in a database, the query comprising a search value. The database comprises a plurality of datasets the datasets comprising entries, wherein distance statistics are assigned to the datasets. The distance statistics describe the minimum and maximum distance between the values of the entries of a dataset of the plurality of datasets and a reference value. The method comprises determining the distance between the search value and the reference value, said determination resulting in a search distance, determining a subset of datasets from the plurality of datasets for which the search distance is within the limits given by the minimum and maximum distances described by the respective distance statistics, and searching for the search value in the subset of datasets.

Abstract: The present disclosure relates to a computer-implemented method, computer program product, and computer system, for optimization of query processing a set of data extents on which a table is stored. Attribute value information may be maintained for each data extent. The attribute value information indicate as ranges the minimum and maximum values of an attribute of the entries stored in the respective extent. A first metric of a first data extent of the set may determine splitting the first data extent into sub-extents increases query processing efficiency. A second metric of a second data extent and a third data extent may determine merging the second data extent and the third data extent increases query processing efficiency.

Abstract: Embodiments of the present invention provide a method, computer program product, and a computer system for storing data records in extents. According to one embodiment a data record comprising an attribute value is received. One or more data records stored in a first extent, are identified, wherein the stored one or more data records in the first extent have at least one attribute value. The attribute value of the received data record is compared to the attribute values of the identified data records stored in the first extent. It is then determined whether to store the received data record in the first extent. Responsive to determining, not to store the received data record in the first extent, the received data record is stored in a second extent. If the first received data record is stored in a second extent, determining, an attribute value information of the second extent.

Abstract: A computer-implemented method for partitioning data for a query operation of one table of the database system is provided. The computer-implemented method comprises estimating a value distribution of the attribute in the result table based on a first value distribution of the attribute in the first column of the first table. The computer-implemented method further comprises determining boundaries for partitioning ranges of the attribute, based on the estimated value distribution, wherein the partitioning ranges correspond to a same number of rows of the result table. The computer-implemented method further comprises partitioning the first table with processing nodes of the query operation, based on the determined boundaries of partitioning ranges.

Abstract: The present disclosure relates to a computer-implemented method, computer program product, and computer system, for optimization of query processing a set of data extents on which a table is stored. Attribute value information may be maintained for each data extent. The attribute value information indicate as ranges the minimum and maximum values of an attribute of the entries stored in the respective extent. A first metric of a first data extent of the set may determine splitting the first data extent into sub-extents increases query processing efficiency. A second metric of a second data extent and a third data extent may determine merging the second data extent and the third data extent increases query processing efficiency.

Abstract: The invention relates to a method, computer program product and computer system for providing attribute value information for a data extent comprising a set of data entries.

Abstract: A computer-implemented method, system, and/or computer program product optimizes an order of execution of column join operations. A first partitioning of the first data column splits the first data column into first subsets of rows. A second partitioning of the second data column splits the second data column into a second subsets of rows. Cardinalities of sub-tables derived by a respective joining of the subsets of rows of the first and second data columns are estimated, based on the first and second value frequency information. An order of execution of multiple join operations is then optimized based on the estimated cardinalities of the sub-tables.

Abstract: The invention relates to a method, computer program product and computer system for providing attribute value information for a data extent comprising a set of data entries.

Abstract: The invention relates to a method, computer program product and computer system for providing attribute value information for a data extent having a set of data entries.

Abstract: The invention relates to a method, computer program product and computer system for providing attribute value information for a data extent having a set of data entries.

Abstract: Embodiments of the present invention provide a method, computer program product, and a computer system for storing data records in extents. According to one embodiment a data record comprising an attribute value is received. One or more data records stored in a first extent, are identified, wherein the stored one or more data records in the first extent have at least one attribute value. The attribute value of the received data record is compared to the attribute values of the identified data records stored in the first extent. It is then determined whether to store the received data record in the first extent. Responsive to determining, not to store the received data record in the first extent, the received data record is stored in a second extent. If the first received data record is stored in a second extent, determining, an attribute value information of the second extent.

Abstract: A computer-implemented method, system, and/or computer program product optimizes an order of execution of column join operations. A first partitioning of the first data column splits the first data column into first subsets of rows. A second partitioning of the second data column splits the second data column into a second subsets of rows. A first value frequency information indicates a frequency of attribute values within a subset of rows of the first data column processed. A second value frequency information indicates a frequency of attribute values within a subset of rows of the second data column. Cardinalities of sub-tables derived by a respective joining of the subsets of rows of the first and second data columns are estimated, based on the first and second value frequency information. An order of execution of multiple join operations is then optimized based on the estimated cardinalities of the sub-tables.

Abstract: Creating a data backup of data on a first computer system to restore to a second computer system, each of the first and second computer system including one or more nodes, each node configured to manage a subset of the data. Receiving, by the first computer system, identification of data to back up and node configuration information for the second computer system. Creating, by the first computer system, a backup of the data from the one or more nodes of the first computer system, configured in accordance with the node configuration information of the second computer system, such that the backed up data is directly manageable by the one or more nodes of the second computer system.

Abstract: Creating a data backup of data on a first computer system to restore to a second computer system, each of the first and second computer system including one or more nodes, each node configured to manage a subset of the data. Receiving, by the first computer system, identification of data to back up and node configuration information for the second computer system. Creating, by the first computer system, a backup of the data from the one or more nodes of the first computer system, configured in accordance with the node configuration information of the second computer system, such that the backed up data is directly manageable by the one or more nodes of the second computer system.

Abstract: A method, system and computer program product for providing early diagnosis of hardware, software or configuration problems in a data warehouse system. A received query is parsed to determine the properties of the query. The query may then be joined to existing groups of queries if those groups have shared properties of the query. After executing the query according to an execution plan, results from the execution of the query is received, which may include problem(s) that occurred during execution of the query. For those problems that reach a pre-defined threshold of becoming a “group problem” in those groups joined by the query, the problem is reported to the end user concerning those groups where the problem exceeds the pre-defined threshold. In this manner, an early diagnosis of the problems in the data warehouse system that can cause delay and failure of the processing of queries is able to occur.

Abstract: A method, system and computer program product for providing early diagnosis of hardware, software or configuration problems in a data warehouse system. A received query is parsed to determine the properties of the query. The query may then be joined to existing groups of queries if those groups have shared properties of the query. After executing the query according to an execution plan, results from the execution of the query is received, which may include problem(s) that occurred during execution of the query. For those problems that reach a pre-defined threshold of becoming a “group problem” in those groups joined by the query, the problem is reported to the end user concerning those groups where the problem exceeds the pre-defined threshold. In this manner, an early diagnosis of the problems in the data warehouse system that can cause delay and failure of the processing of queries is able to occur.

Abstract: Software for processing a database query that includes: (i) receiving a query of a database including a search value; (ii) determining a distance between the search value and at least one reference value; (iii) determining a maximum distance from the search value to be used in searching a plurality of datasets of the database, wherein the maximum distance from the search value defines a search range and is based, at least in part, on the determined distance between the search value and the at least one reference value; (iv) determining a subset of datasets from the plurality of datasets that includes datasets for which a data range with respect to each reference value overlaps with the search range; and (v) performing approximate string matching for the search value on the subset of datasets.

Abstract: A method for determining when to send monitoring data to a server within a monitoring infrastructure. The method includes a first agent computer collecting a first instance of monitoring data relating to an alert on a computer system, wherein the collecting is based, at least in part, on a set of instructions received from a monitoring server, wherein the set of instructions includes instructions for determining whether the monitoring data is relevant to triggering the alert. The first agent then receives at least one second instance of monitoring data from a set of second agents. The first agent then determines whether the first instance of monitoring data is relevant to triggering the alert based, at least in part, on the first instance of monitoring data and the second instance of monitoring data. The first agent then determines whether to send the first instance of monitoring data to the monitoring server.