Abstract: Embodiments of the present invention disclose a computer program product for rebalancing partitioned data based, at least in part, on limit key extrapolation in a database and one or more characteristics of the plurality of database partitions. Responsive to a determination that an upper limit key value of the last loaded record is greater than an upper limit key value of an empty partition, the computer redefines the upper limit key value of the empty partition using an extrapolated upper limit key value that is based, at least in part, on a range of limit key values. The computer updates one or more characteristics of the database, wherein the one or more characteristics include one or both of a) an average number of records per partition, and b) an average number of unique limit key values per partition.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for rebalancing partitioned data based, at least in part, on one or more characteristics of the plurality of database partitions. The computer updating characteristics, wherein the one or more characteristics include one or both of a) an average number of records per partition, and b) an average number of unique limit key values per partition. Embodiments of the present invention disclose a method, computer program product, and system for limit key extrapolation in a database. Responsive to a determination that the upper limit key value of the last loaded record is greater than the first upper limit key value of the first empty partition, the computer redefines the first upper limit key value of the first empty partition by an extrapolated upper limit key value based, at least in part, on the range of limit key values.

Abstract: Embodiments of the present invention disclose a computer program product for rebalancing partitioned data based, at least in part, on limit key extrapolation in a database and one or more characteristics of the plurality of database partitions. Responsive to a determination that an upper limit key value of the last loaded record is greater than an upper limit key value of an empty partition, the computer redefines the upper limit key value of the empty partition using an extrapolated upper limit key value that is based, at least in part, on a range of limit key values. The computer updates one or more characteristics of the database, wherein the one or more characteristics include one or both of a) an average number of records per partition, and b) an average number of unique limit key values per partition.

Abstract: Embodiments of the present invention disclose a computer program product for rebalancing partitioned data based, at least in part, on limit key extrapolation in a database and one or more characteristics of the plurality of database partitions. Responsive to a determination that an upper limit key value of the last loaded record is greater than an upper limit key value of an empty partition, the computer redefines the upper limit key value of the empty partition using an extrapolated upper limit key value that is based, at least in part, on a range of limit key values. The computer updates one or more characteristics of the database, wherein the one or more characteristics include one or both of a) an average number of records per partition, and b) an average number of unique limit key values per partition.

Abstract: Embodiments of the present invention disclose a computer program product for rebalancing partitioned data based, at least in part, on limit key extrapolation in a database and one or more characteristics of the plurality of database partitions. Responsive to a determination that an upper limit key value of the last loaded record is greater than an upper limit key value of an empty partition, the computer redefines the upper limit key value of the empty partition using an extrapolated upper limit key value that is based, at least in part, on a range of limit key values. The computer updates one or more characteristics of the database, wherein the one or more characteristics include one or both of a) an average number of records per partition, and b) an average number of unique limit key values per partition.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for rebalancing partitioned data based, at least in part, on one or more characteristics of the plurality of database partitions. The computer updating characteristics, wherein the one or more characteristics include one or both of a) an average number of records per partition, and b) an average number of unique limit key values per partition. Embodiments of the present invention disclose a method, computer program product, and system for limit key extrapolation in a database. Responsive to a determination that the upper limit key value of the last loaded record is greater than the first upper limit key value of the first empty partition, the computer redefines the first upper limit key value of the first empty partition by an extrapolated upper limit key value based, at least in part, on the range of limit key values.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for rebalancing partitioned data based, at least in part, on one or more characteristics of the plurality of database partitions. The computer updating characteristics, wherein the one or more characteristics include one or both of a) an average number of records per partition, and b) an average number of unique limit key values per partition. Embodiments of the present invention disclose a method, computer program product, and system for limit key extrapolation in a database. Responsive to a determination that the upper limit key value of the last loaded record is greater than the first upper limit key value of the first empty partition, the computer redefines the first upper limit key value of the first empty partition by an extrapolated upper limit key value based, at least in part, on the range of limit key values.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for rebalancing partitioned data based, at least in part, on one or more characteristics of the plurality of database partitions. The computer updating characteristics, wherein the one or more characteristics include one or both of a) an average number of records per partition, and b) an average number of unique limit key values per partition. Embodiments of the present invention disclose a method, computer program product, and system for limit key extrapolation in a database. Responsive to a determination that the upper limit key value of the last loaded record is greater than the first upper limit key value of the first empty partition, the computer redefines the first upper limit key value of the first empty partition by an extrapolated upper limit key value based, at least in part, on the range of limit key values.

Abstract: Provided are a techniques for reorganizing data. Data is retrieved from an original data set and inserted into a shadow data set. A log record is read from an update log, wherein the log record includes a unique key identifying a data object and an indication of an activity associated with that data object. The activity associated with the data object is performed by determining whether the unique key is found in a shadow index for the shadow data set.

Abstract: A system, method and a computer usable medium tangibly embodying a program of instructions executable by the computer to perform a computer-based method for restoration of a database from a failed data recovery. For each failed data recovery the method generates a log error data set having log records of a faulty transaction unapplied to data due to inconsistency. Log error data set is directly useable by a log analysis tool to regenerate and redo the unapplied faulty transaction to recover the data and by a print log tool to diagnose the faulty transaction. Log records mimic format of records of an archive log data set and identify data objects, faulty transactions on the data objects and a range of the unapplied data objects' updates.