公开(公告)号：US11379410B2

公开(公告)日：2022-07-05

申请号：US16926425

申请日：2020-07-10

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Kamaljit Shergill ,  Hariharan Lakshmanan ,  Viral Shah ,  Shasank Kisan Chavan

IPC: G06F16/11 ,  G06F16/901

Abstract: Techniques are provided for a DBMS automating ILM on indexes, based on index composition, to efficiently reduce index storage footprints. According to an embodiment, a user sets an index-specific ILM (ISILM) policy, which comprises one or both of an index-test requirement and a time requirement. Based on the ISILM policy being met, or on some other way of initiating analysis, the DBMS automatically analyzes the data blocks storing the index to determine an index condition metric (e.g., percentage of free space). This analysis is performed on a sample of data blocks storing the index without blocking the index from other operations during the analysis. The condition metric for the entire index is estimated based on analysis of the sample data blocks. Using the determined condition metric for an index, the DBMS automatically selects an option for optimally managing the index (e.g., coalesce, shrink space, index rebuild, no action, etc.).

公开(公告)号：US10678788B2

公开(公告)日：2020-06-09

申请号：US15331599

申请日：2016-10-21

Applicant: Oracle International Corporation

Inventor： Roger D. Macnicol ,  Viral Shah ,  Xia Hua ,  Jesse Kamp ,  Shasank K. Chavan ,  Maria Colgan ,  Tirthankar Lahiri ,  Adrian Tsz Him Ng ,  Krishnan Meiyyappan ,  Amit Ganesh ,  Juan R. Loaiza ,  Kothanda Umamageswaran ,  Yiran Qin

IPC: G06F16/2453 ,  G06F16/22 ,  G06F3/06 ,  G06F12/0811 ,  G06F12/0897

Abstract: Techniques are provided for storing in in-memory unit (IMU) in a lower-storage tier and copying the IMU to DRAM when needed for query processing. Techniques are also provided for copying IMUs to lower tiers of storage when evicted from the cache of higher tiers of storage. Techniques are provided for implementing functionality of IMUs within a storage system, to enable database servers to push tasks, such as filtering, to the storage system where the storage system may access IMUs within its own memory to perform the tasks. Metadata associated with a set of data may be used to indicate whether an IMU for the data should be created by the database server machine or within the storage system.

公开(公告)号：US20170116269A1

公开(公告)日：2017-04-27

申请号：US15331599

申请日：2016-10-21

Applicant: Oracle International Corporation

Inventor： Roger D. Macnicol ,  Viral Shah ,  Xia Hua ,  Jesse Kamp ,  Shasank K. Chavan ,  Maria Colgan ,  Tirthankar Lahiri ,  Adrian Tsz Him Ng ,  Krishnan Meiyyappan ,  Amit Ganesh ,  Juan R. Loaiza ,  Kothanda Umamageswaran ,  Yiran Qin

IPC: G06F17/30 ,  G06F12/0811 ,  G06F12/0897 ,  G06F3/06

CPC classification number: G06F16/24539 ,  G06F3/061 ,  G06F3/0647 ,  G06F3/065 ,  G06F3/067 ,  G06F12/0811 ,  G06F12/0897 ,  G06F16/22 ,  G06F16/221 ,  G06F2212/1016 ,  G06F2212/163 ,  G06F2212/225

Abstract: Techniques are provided for storing in in-memory unit (IMU) in a lower-storage tier and copying the IMU to DRAM when needed for query processing. Techniques are also provided for copying IMUs to lower tiers of storage when evicted from the cache of higher tiers of storage. Techniques are provided for implementing functionality of IMUs within a storage system, to enable database servers to push tasks, such as filtering, to the storage system where the storage system may access IMUs within its own memory to perform the tasks. Metadata associated with a set of data may be used to indicate whether an IMU for the data should be created by the database server machine or within the storage system.

公开(公告)号：US20210081356A1

公开(公告)日：2021-03-18

申请号：US16926425

申请日：2020-07-10

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Kamaljit Shergill ,  Hariharan Lakshmanan ,  Viral Shah ,  Shasank Kisan Chavan

IPC: G06F16/11 ,  G06F16/901

Abstract: Techniques are provided for a DBMS automating ILM on indexes, based on index composition, to efficiently reduce index storage footprints. According to an embodiment, a user sets an index-specific ILM (ISILM) policy, which comprises one or both of an index-test requirement and a time requirement. Based on the ISILM policy being met, or on some other way of initiating analysis, the DBMS automatically analyzes the data blocks storing the index to determine an index condition metric (e.g., percentage of free space). This analysis is performed on a sample of data blocks storing the index without blocking the index from other operations during the analysis. The condition metric for the entire index is estimated based on analysis of the sample data blocks. Using the determined condition metric for an index, the DBMS automatically selects an option for optimally managing the index (e.g., coalesce, shrink space, index rebuild, no action, etc.).