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1. 发明申请

US20170364571A1 EAGER REPLICATION OF UNCOMMITTED TRANSACTIONS 审中-公开
公开(公告)号：US20170364571A1
公开(公告)日：2017-12-21
申请号：US15692141
申请日：2017-08-31
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： Edwina Ming-Yue Lu , Nimar Singh Arora , Lik Wong
IPC分类号： G06F17/30
CPC分类号： G06F16/27 , G06F16/2358 , G06F16/2379
摘要： Techniques are provided for eager replication of uncommitted transactions. In embodiments, a replication client receives, in a data stream, change records corresponding to database changes applied to a source database in a transaction. The change records does not include a commit record that indicates that the transaction is committed on the source database. Before receiving the commit record, the replication client computes transaction dependency data based on the change records and detects, based on the transaction dependency data, that the transaction can be at least partially applied to a target database. Also before receiving the commit record, the replication client applies, to a target database and based on the detecting, at least some of the change records. Upon receiving the commit record of the transaction, the replication client completes applying the change records and commits the transaction on the target database.

2. 发明申请

US20170249376A1 SYSTEM FOR DETECTING AND CHARACTERIZING SEASONS 审中-公开
公开(公告)号：US20170249376A1
公开(公告)日：2017-08-31
申请号：US15057065
申请日：2016-02-29
申请人： Oracle International Corporation
发明人： Dustin Garvey , Uri Shaft , Lik Wong , Amit Ganesh
IPC分类号： G06F17/30
CPC分类号： G06F16/285 , G06F16/2477 , G06F17/18 , G06F21/55 , G06N20/00 , G06Q10/04 , G06Q10/06315 , G06Q30/0201 , G06Q30/0202
摘要： Techniques are described for characterizing and summarizing seasonal patterns detected within a time series. According to an embodiment, a set of time series data is analyzed to identify a plurality of instances of a season, where each instance corresponds to a respective sub-period within the season. A first set of instances from the plurality of instances are associated with a particular class of seasonal pattern. After classifying the first set of instances, a second set of instances may remain unclassified or otherwise may not be associated with the particular class of seasonal pattern. Based on the first and second set of instances, a summary may be generated that identifies one or more stretches of time that are associated with the particular class of seasonal pattern. The one or more stretches of time may span at least one sub-period corresponding to at least one instance in the second set of instances.

3. 发明申请

US20150033232A1 AUTOMATIC PARALLELISM TUNING FOR APPLY PROCESSES 有权
标题翻译：自动并行调谐应用程序
公开(公告)号：US20150033232A1
公开(公告)日：2015-01-29
申请号：US13949594
申请日：2013-07-24
申请人： Oracle International Corporation
发明人： Edwina Ming-Yue Lu , Nimar Singh Arora , Lik Wong
IPC分类号： G06F9/46 , G06F17/30
CPC分类号： G06F9/466 , G06F9/5083 , G06F17/30371
摘要： Techniques are provided for automatic parallelism tuning. At least one batch of change records is assigned to one or more apply processes in a set of active apply processes. A first throughput value is periodically determined based on a number of processed change records in a first time interval. An increment adjustment is periodically performed, including adding an additional apply process, determining a second throughput value, and removing the additional apply process from the set of active apply processes if the second throughput value is not greater than a previous first throughput value by at least an increment threshold. A decrement adjustment is periodically performed, including removing an apply process, determining a third throughput value, and replacing the removed apply process in the set of active apply processes if the third throughput value is not greater than the previous first throughput value by at least a decrement threshold.
摘要翻译：提供了自动并行调谐技术。至少一批更改记录被分配给一组活动应用进程中的一个或多个应用进程。基于在第一时间间隔中的处理的改变记录的数量来周期性地确定第一吞吐量值。定期执行增量调整，包括添加附加的应用过程，确定第二吞吐量值，以及如果第二吞吐量值不大于先前的第一吞吐量值至少至少在一组活动应用进程中移除附加应用进程增量阈值。如果第三吞吐量值不大于先前的第一吞吐量值，则定期执行递减调整，包括去除应用进程，确定第三吞吐量值，以及替换所述一组活动应用进程中的所移除的应用进程，递减阈值

4. 发明申请

US20150032694A1 Scalable Coordination Aware Static Partitioning For Database Replication 有权
标题翻译：可扩展协调感知数据库复制的静态分区
公开(公告)号：US20150032694A1
公开(公告)日：2015-01-29
申请号：US13950207
申请日：2013-07-24
申请人： Oracle International Corporation
发明人： Vasanth Rajamani , Lik Wong , Nimar S. Arora , Sean Lehouillier
IPC分类号： G06F17/30
CPC分类号： G06F17/30581 , G06F17/30368
摘要： Parallel logical replication involves multiple apply threads running on a destination database server applying, in parallel, changes made by source transactions, where the changes of a single source transaction may be applied in parallel by multiple apply threads. An apply transaction for a source transaction may be committed by an apply thread independently of the commitment of any other apply transaction of the source transaction, that is, without coordinating the committing of another apply transaction executed by another apply thread for the source transaction. A configuration language is used to configure parallel logical replication. The language facilitates the configuration of various aspects of parallel logical replication, including the number of apply threads, partitioning schemes for the apply threads for partitioning change records between the apply threads, and various other aspects of parallel logical replication.
摘要翻译：并行逻辑复制涉及在目标数据库服务器上运行的多个应用线程，并行地应用源事务所做的更改，其中单个源事务的更改可以由多个应用线程并行应用。源事务的应用事务可以由应用线程提交，独立于源事务的任何其他应用事务的承诺，即，不协调由源事务的另一应用线程执行的另一应用事务的提交。配置语言用于配置并行逻辑复制。该语言有助于并行逻辑复制的各个方面的配置，包括应用线程的数量，应用线程的分区方案，用于分区应用线程之间的更改记录以及并行逻辑复制的各种其他方面。

5. 发明申请

US20150032689A1 DATA DEFINITION LANGUAGE (DDL) EXPRESSION ANNOTATION 有权
标题翻译：数据定义语言（DDL）表达式
公开(公告)号：US20150032689A1
公开(公告)日：2015-01-29
申请号：US13949969
申请日：2013-07-24
申请人： Oracle International Corporation
发明人： Parthasarathy Raghunathan , Lik Wong
IPC分类号： G06F17/30
CPC分类号： G06F17/30575
摘要： Techniques are provided for data definition language (DDL) expression annotation. DDL expression text is captured. The DDL expression text corresponds to a DDL change in a source database. A component set is determined. The component set includes at least one component in the DDL expression text. An annotation set is generated. The annotation set includes at least one annotation for at least one component of the component set. Each annotation includes hierarchical data describing at least one hierarchical relationship in the component set. For example, an annotation may include a component ID, a component position, a component length, a component type, and a parent component ID. The annotation set and a change record comprising the DDL expression text are transmitted to a replication client.
摘要翻译：为数据定义语言（DDL）表达式注释提供了技术。捕获DDL表达式文本。 DDL表达式文本对应于源数据库中的DDL更改。确定组件集。组件集包含DDL表达式文本中的至少一个组件。生成注释集。注释集合包括至少一个组件集合的一个组件的注释。每个注释包括描述组件集中的至少一个分层关系的分层数据。例如，注释可以包括组件ID，组件位置，组件长度，组件类型和父组件ID。注释集和包含DDL表达式文本的更改记录被发送到复制客户端。

6. 发明申请

US20210406252A1 AUTOMATIC DERIVATION OF SHARD KEY VALUES AND TRANSPARENT MULTI-SHARD TRANSACTION AND QUERY SUPPORT 有权
公开(公告)号：US20210406252A1
公开(公告)日：2021-12-30
申请号：US17473525
申请日：2021-09-13
申请人： Oracle International Corporation
发明人： Lik Wong , Leonid Novak , Douglas N. Surber , Ilesh Garish , Saurabh Verma , Wei Ming Hu , Mark Dilman , Jean de Lavarene
IPC分类号： G06F16/23 , G06F16/2455
摘要： Techniques are provided for processing a database command in a sharded database. The processing of the database command may include generating or otherwise accessing a shard key expression, and evaluating the shard key expression to identify one or more target shards that contain data used to execute the database command.

7. 发明授权

US10970891B2 Systems and methods for detecting and accommodating state changes in modelling 有权
公开(公告)号：US10970891B2
公开(公告)日：2021-04-06
申请号：US15266979
申请日：2016-09-15
申请人： Oracle International Corporation
发明人： Dustin Garvey , Uri Shaft , Sampanna Shahaji Salunke , Lik Wong
IPC分类号： G06Q30/02 , G06N20/00 , G06Q10/04 , G06F17/18 , G06Q10/06 , G06K9/00 , G06K9/62 , G06F11/34 , H04L12/24 , G06F9/50 , G06T11/20 , G06F21/55 , G06Q10/10 , G06T11/00
摘要： Techniques are described for automatically detecting and accommodating state changes in a computer-generated forecast. In one or more embodiments, a representation of a time-series signal is generated within volatile and/or non-volatile storage of a computing device. The representation may be generated in such a way as to approximate the behavior of the time-series signal across one or more seasonal periods. Once generated, a set of one or more state changes within the representation of the time-series signal is identified. Based at least in part on at least one state change in the set of one or more state changes, a subset of values from the sequence of values is selected to train a model. An analytical output is then generated, within volatile and/or non-volatile storage of the computing device, using the trained model.

8. 发明申请

US20200327708A1 METHOD FOR CREATING PERIOD PROFILE FOR TIME-SERIES DATA WITH RECURRENT PATTERNS 审中-公开
公开(公告)号：US20200327708A1
公开(公告)日：2020-10-15
申请号：US16859050
申请日：2020-04-27
申请人： Oracle International Corporation
发明人： Dustin Garvey , Uri Shaft , Lik Wong , Maria Kaval
IPC分类号： G06T11/20 , G06Q30/02 , G06N20/00 , G06Q10/04 , G06F17/18 , G06F21/55 , G06Q10/06 , G06K9/00 , G06K9/62 , G06Q10/10 , G06T11/00
摘要： Techniques are described for generating period profiles. According to an embodiment, a set of time series data is received, where the set of time series data includes data spanning a plurality of time windows having a seasonal period. Based at least in part on the set of time-series data, a first set of sub-periods of the seasonal period is associated with a particular class of seasonal pattern. A profile for a seasonal period that identifies which sub-periods of the seasonal period are associated with the particular class of seasonal pattern is generated and stored, in volatile or non-volatile storage. Based on the profile, a visualization is generated for at least one sub-period of the first set of sub-periods of the seasonal period that indicates that the at least one sub-period is part of the particular class of seasonal pattern.

9. 发明申请

US20190065241A1 ORCHESTRATION SERVICE FOR MULTI-STEP RECIPE COMPOSITION WITH FLEXIBLE, TOPOLOGY-AWARE, AND MASSIVE PARALLEL EXECUTION 审中-公开
公开(公告)号：US20190065241A1
公开(公告)日：2019-02-28
申请号：US15978454
申请日：2018-05-14
申请人： Oracle International Corporation
发明人： Lik Wong , Girish Balachandran , Shravan Kumar Shivanagari , Taylor Gautier
IPC分类号： G06F9/48 , G06F9/50 , G06F11/07
摘要： Techniques are described for orchestrating execution of multi-step recipes. In an embodiment, a method comprises receiving a request to execute a recipe specification that defines a sequence of steps to execute for a particular recipe; responsive to receiving the request to execute the recipe specification, instantiating a set of one or more recipe-level processes; wherein each recipe-level process in the set of one or more recipe-level processes manages execution of a respective instance of the particular recipe; triggering, by each recipe-level process for the respective instance of the particular recipe managed by the recipe-level process, execution of the sequence of steps; wherein triggering execution of at least one step in the sequence of steps by a recipe-level process comprises instantiating, by the recipe-level process, a plurality of step-level processes to execute the step on a plurality of target resources in parallel.

10. 发明授权

US10198339B2 Correlation-based analytic for time-series data 有权
公开(公告)号：US10198339B2
公开(公告)日：2019-02-05
申请号：US15155486
申请日：2016-05-16
申请人： Oracle International Corporation
发明人： Sampanna Salunke , Dustin Garvey , Uri Shaft , Lik Wong
IPC分类号： G06F11/00 , G06F11/34 , G06F11/07
摘要： Techniques are described for modeling variations in correlation to facilitate analytic operations. In one or more embodiments, at least one computing device receives first metric data that tracks a first metric for a first target resource and second metric data that tracks a second metric for a second target resource. In response to receiving the first metric data and the second metric data, the at least one computing device generates a time-series of correlation values that tracks correlation between the first metric and the second metric over time. Based at least in part on the time-series of correlation data, an expected correlation is determined and compared to an observed correlation. If the observed correlation falls outside of a threshold range or otherwise does not satisfy the expected correlation, then an alert and/or other output may be generated.

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