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1. 发明授权

EP3329393B1 MATERIALIZING EXPRESSIONS WITHIN IN-MEMORY VIRTUAL COLUMN UNITS TO ACCELERATE ANALYTIC QUERIES 有权
公开(公告)号：EP3329393B1
公开(公告)日：2019-03-06
申请号：EP16748005.2
申请日：2016-07-28
申请人： Oracle International Corporation
发明人： MISHRA, Aurosish , CHAVAN, Shasank K. , HOLLOWAY, Allison L. , KAMP, Jesse , KUMAR, Ramesh , LIU, Zhen Hua , MUKHERJEE, Niloy , GANESH, Amit , LAHIRI, Tirthankar , MARWAH, Vineet
IPC分类号： G06F17/30

2. 发明公开

EP3120266A1 OZIP COMPRESSION AND DECOMPRESSION 有权
标题翻译： OZIP-KOMPRIMIERUNG-DEKOMPRIMIERUNG
公开(公告)号：EP3120266A1
公开(公告)日：2017-01-25
申请号：EP15716907.9
申请日：2015-03-16
申请人： Oracle International Corporation
发明人： PATTHAK, Anindya , CHEN, Victor , CHAVAN, Shasank Kisan , KAMP, Jesse , GANESH, Amit , MARWAH, Vineet
IPC分类号： G06F17/30 , H03M7/30 , G06F12/04
CPC分类号： G06F17/30153 , G06F12/04 , H03M7/3066 , H03M7/3088 , H03M7/6005 , H03M7/6011
摘要： A method, apparatus, and system for OZIP, a data compression and decompression codec, is provided. OZIP utilizes a fixed size static dictionary, which may be generated from a random sampling of input data to be compressed. Compression by direct token encoding to the static dictionary streamlines the encoding and avoids expensive conditional branching, facilitating hardware implementation and high parallelism. By bounding token definition sizes and static dictionary sizes to hardware architecture constraints such as word size or processor cache size, hardware implementation can be made fast and cost effective. For example, decompression may be accelerated by using SIMD instruction processor extensions. A highly granular block mapping in optional stored metadata allows compressed data to be accessed quickly at random, bypassing the processing overhead of dynamic dictionaries. Thus, OZIP can support low latency random data access for highly random workloads, such as for OLTP systems.
摘要翻译：提供了一种用于OZIP（一种数据压缩和解压缩编解码器）的方法，装置和系统。 OZIP使用固定大小的静态字典，其可以从要压缩的输入数据的随机采样产生。通过直接令牌编码压缩到静态字典可以简化编码，避免昂贵的条件分支，便于硬件实现和高并行性。通过将令牌定义大小和静态字典大小绑定到诸如字大小或处理器高速缓存大小之类的硬件架构约束，可以实现硬件实现的快速和成本效益。例如，可以通过使用SIMD指令处理器扩展来加速解压缩。可选存储的元数据中的高度细粒度的块映射允许随机地快速访问压缩数据，从而绕过动态词典的处理开销。因此，OZIP可以支持高度随机的工作负载（如OLTP系统）的低延迟随机数据访问。

3. 发明授权

EP2901323B1 POLICY DRIVEN DATA PLACEMENT AND INFORMATION LIFECYCLE MANAGEMENT 有权
公开(公告)号：EP2901323B1
公开(公告)日：2020-07-29
申请号：EP13776657.2
申请日：2013-09-27
申请人： Oracle International Corporation
发明人： MARWAH, Vineet , LAKSHMANAN, Hariharan , MYLAVARAPU, Ajit , GAHARWAR, Prashant , GANESH, Amit
IPC分类号： G06F16/21

5. 发明授权

EP2710497B1 TECHNIQUES FOR AUTOMATIC DATA PLACEMENT WITH COMPRESSION AND COLUMNAR STORAGE 有权
公开(公告)号：EP2710497B1
公开(公告)日：2019-01-23
申请号：EP12725943.0
申请日：2012-05-18
申请人： Oracle International Corporation
发明人： GANESH, Amit , MARWAH, Vineet , KAPOOR, Vikram
IPC分类号： G06F17/30

6. 发明公开

EP3047397A1 MIRRORING, IN MEMORY, DATA FROM DISK TO IMPROVE QUERY PERFORMANCE 有权
标题翻译：板的询价信息改善服务内部的存储器数据反映
公开(公告)号：EP3047397A1
公开(公告)日：2016-07-27
申请号：EP14781731.6
申请日：2014-09-15
申请人： Oracle International Corporation
发明人： KAMP, Jesse , GANESH, Amit , MARWAH, Vineet , RAJA, Vivekanandhan , LAHIRI, Tirthankar , HOLLOWAY, Allison L. , HASE, Sanket , CHAVAN, Shasank K. , MUKHERJEE, Niloy , LEE, Teck Hua , GLEESON, Michael J. , KUNCHITHAPADAM, Krishna
IPC分类号： G06F17/30
摘要： Techniques are provided for maintaining data persistently in one format, but making that data available to a database server in more than one format. For example, one of the formats in which the data is made available for query processing is based on the on-disk format, while another of the formats in which the data is made available for query processing is independent of the on-disk format. Data that is in the format that is independent of the disk format may be maintained exclusively in volatile memory to reduce the overhead associated with keeping the data in sync with the on-disk format copies of the data.

7. 发明公开

EP2973018A1 A METHOD TO ACCELERATE QUERIES USING DYNAMICALLY GENERATED ALTERNATE DATA FORMATS IN FLASH CACHE 有权
标题翻译： - 加快使用动态查询方法生成另一种数据格式的闪存
公开(公告)号：EP2973018A1
公开(公告)日：2016-01-20
申请号：EP14714833.2
申请日：2014-03-03
申请人： Oracle International Corporation
发明人： LOAIZA, Juan , GANESH, Amit , MACNICOL, Roger , KAMP, Jesse , HOLLOWAY, Allison , NG, Adrian , MARWAH, Vineet
IPC分类号： G06F17/30
CPC分类号： G06F12/0875 , G06F17/30312 , G06F17/3048
摘要： A method for accelerating queries using dynamically generated columnar data in a flash cache is provided. In an embodiment, a method comprises a storage device receiving a first request for data that is stored in the storage device in a base major format in one or more primary storage devices. The storage device comprises a cache. The base major format is any one of: a row-major format, a column-major format and a hybrid-columnar format. Based on first one or more criteria, it is determined whether to rewrite the data into rewritten data in a rewritten major format. In response to determining to rewrite the data into rewritten data in a rewritten major format, the storage device rewrites at least a portion of the data into particular rewritten data in the rewritten major format. The rewritten data is stored in the cache.

8. 发明授权

EP2901326B1 TRACKING ROW AND OBJECT DATABASE ACTIVITY INTO BLOCK LEVEL HEATMAPS 有权
公开(公告)号：EP2901326B1
公开(公告)日：2020-02-12
申请号：EP13777376.8
申请日：2013-09-27
申请人： Oracle International Corporation
发明人： MARWAH, Vineet , MUTHULINGAM, Sujatha , GANESH, Amit
IPC分类号： G06F16/00

9. 发明授权

EP2788902B1 TECHNIQUES FOR MORE EFFICIENT USAGE OF MEMORY-TO-CPU BANDWIDTH 有权
公开(公告)号：EP2788902B1
公开(公告)日：2019-04-17
申请号：EP12809436.4
申请日：2012-12-07
申请人： Oracle International Corporation
发明人： ELLISON, Lawrence J. , GANESH, Amit , MARWAH, Vineet , KAMP, Jesse , PATTHAK, Anindya C. , CHAVAN, Shasank K. , GLEESON, Michael J. , HOLLOWAY, Allison L. , BHATTACHARYYA, Manosiz
IPC分类号： G06F17/30

10. 发明公开

EP2901326A1 TRACKING ROW AND OBJECT DATABASE ACTIVITY INTO BLOCK LEVEL HEATMAPS 有权
标题翻译：追求热图数据块级行和对象的数据库活动
公开(公告)号：EP2901326A1
公开(公告)日：2015-08-05
申请号：EP13777376.8
申请日：2013-09-27
申请人： Oracle International Corporation
发明人： MARWAH, Vineet , MUTHULINGAM, Sujatha , GANESH, Amit
IPC分类号： G06F17/30
摘要： Techniques for activity tracking, data classification, and in-database archiving are described. Activity tracking refers to techniques that collect statistics related to user access patterns, such as the frequency or recency with which users access particular database elements. The statistics gathered through activity tracking can be supplied to data classification techniques to automatically classify the database elements or to assist users with manually classifying the database elements. Then, once the database elements have been classified, in-database archiving techniques can be employed to move database elements to different storage tiers based on the classifications. However, although the techniques related to activity tracking, data classification, and in-database archiving may be used together as described above; each technique may also be practiced separately.

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