Importance

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Abstract

A data set typically does not stagnate and remain the same size over time. The capabilities of hardware (e.g., servers and storage devices) also do not stagnate and remain the same. A date set is often repartitioned to accommodate changes in size of the data set and/or changes in hardware capability. Hundreds or thousands of writes may be performed on the data set (e.g., database, directory, etc.) every second. So, even a few seconds of downtime are unacceptable. Instead of taking the data set offline, the data set can be repartitioned while still allowing access to the data set (“repartitioning live data”). Live data can be repartitioned by establishing update or replication queues for the new partitions while servicing write requests and read requests with the old partitions. After the data has been migrated, the update queues are drained to ensure data integrity.

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First Claim