Identifying IO access pattern in unique database structures

    公开(公告)号:US10162597B1

    公开(公告)日:2018-12-25

    申请号:US13610214

    申请日:2012-09-11

    Abstract: Certain database structures and operations are recognized in order to generate hints for a tiered storage array. Historical snapshots of a database data dictionary are searched for patterns corresponding to the structures and operations. After a structure or operation is identified, a corresponding set of extents is identified. Logic predicts future activity associated with the extents, and a corresponding hint is provided to the storage array. Statistical information associated with the identified structure or operation may be maintained and updated to facilitate prediction of activity.

    Techniques for providing storage hints for use in connection with data movement optimizations

    公开(公告)号:US09665630B1

    公开(公告)日:2017-05-30

    申请号:US13525816

    申请日:2012-06-18

    CPC classification number: G06F17/3053 G06F3/0647 G06F17/30221

    Abstract: Described are techniques for providing hints. Activity data for data portions is received. For each data portion, activity data is aggregated for each of a plurality of time periods and a value for a metric is determined for the data portion in accordance with the aggregated activity data. The values for the metric are ranked. A set of one or more data portions are identified based on the ranked metric values. Hint generation processing is performed to generate a hint for each data portion in said set. The hint may be used in connection with performing data storage movement optimizations to move selected data portions between different storage tiers having different performance classifications. The metric may be determined using one or more criteria including standard deviation, entropy and/or a maximum probability for a time period having the largest portion of I/O wait time for a data portion.

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