公开(公告)号：US06873981B2

公开(公告)日：2005-03-29

申请号：US10320092

申请日：2002-12-16

Applicant: Krishnamohan Nareddy ,  Radha Krishna Uppala

Inventor： Krishnamohan Nareddy ,  Radha Krishna Uppala

IPC: G06Q30/02 ,  G06F17/30

CPC classification number: G06Q30/02 ,  Y10S707/99931 ,  Y10S707/99933 ,  Y10S707/99936 ,  Y10S707/99937 ,  Y10S707/99954

Abstract: A method and system for providing customers with access to and analysis of event data is provided. The event data may be stored in log files and supplemented with data from other sources, such as product databases and customer invoices. A data warehouse system collects customer data from the customer web sites and stores the data at a data warehouse server. The data warehouse server interacts with the customer servers to collect to the customer data on a periodic basis. The data warehouse server may provide instructions to the customer servers identifying the customer data that is to be uploaded to the data warehouse server. When the data warehouse server receives customer data, it converts the customer data into a format that is more conducive to processing by decision support system applications by which customers can analyze their data.

Abstract translation: 提供了一种用于向客户提供对事件数据的访问和分析的方法和系统。 事件数据可以存储在日志文件中，并补充来自其他来源的数据，例如产品数据库和客户发票。 数据仓库系统从客户网站收集客户数据，并将数据存储在数据仓库服务器上。 数据仓库服务器与客户服务器交互，定期收集客户数据。 数据仓库服务器可以向客户服务器提供标识要上传到数据仓库服务器的客户数据的指令。 当数据仓库服务器接收到客户数据时，它将客户数据转换为更有利于决策支持系统应用程序进行处理的格式，客户可以通过该应用程序分析其数据。

公开(公告)号：US07107338B1

公开(公告)日：2006-09-12

申请号：US10005183

申请日：2001-12-05

Applicant: Krishnamohan Nareddy ,  Radha Krishna Uppala

Inventor： Krishnamohan Nareddy ,  Radha Krishna Uppala

IPC: G06F15/173

CPC classification number: G06F17/30864 ,  H04L67/02 ,  H04L67/22 ,  Y10S707/99931 ,  Y10S707/99936

Abstract: A method, system and computer-readable medium for analyzing interaction or usage data, such as for customers, is described. Various data parsing information may be defined and used as part of the analysis, such as by using customer-specific information to identify various occurrences of interest. For example, the parser component can use data defining customer-specific categories of content set items and customer-specific types of events of interest. Such high-level types of occurrences can be specified in a variety of ways, such as by using a combination of a logical web site, one or more URIs corresponding to web pages, and/or one or more query strings. In addition, in order to associate the appropriate data parsing information with data to be processed, the data parsing information can also include version information that specifies when it is applicable. The data parsing information may also map actual web sites to logical sites.

公开(公告)号：US06785666B1

公开(公告)日：2004-08-31

申请号：US09613847

申请日：2000-07-11

Applicant: Krishnamohan Nareddy ,  Radha Krishna Uppala

Inventor： Krishnamohan Nareddy ,  Radha Krishna Uppala

IPC: G06F1730

CPC classification number: G06Q30/02 ,  Y10S707/99931 ,  Y10S707/99933 ,  Y10S707/99936 ,  Y10S707/99937 ,  Y10S707/99954

Abstract: A method and system for providing customers with access to and analysis of event data is provided. The event data may be stored in log files and supplemented with data from other sources, such as product databases and customer invoices. A data warehouse system collects customer data from the customer web sites and stores the data at a data warehouse server. The data warehouse server interacts with the customer servers to collect to the customer data on a periodic basis. The data warehouse server may provide instructions to the customer servers identifying the customer data that is to be uploaded to the data warehouse server. When the data warehouse server receives customer data, it converts the customer data into a format that is more conducive to processing by decision support system applications by which customers can analyze their data.

Abstract translation: 提供了一种用于向客户提供对事件数据的访问和分析的方法和系统。 事件数据可以存储在日志文件中，并补充来自其他来源的数据，例如产品数据库和客户发票。 数据仓库系统从客户网站收集客户数据，并将数据存储在数据仓库服务器上。 数据仓库服务器与客户服务器交互，定期收集客户数据。 数据仓库服务器可以向客户服务器提供标识要上传到数据仓库服务器的客户数据的指令。 当数据仓库服务器接收到客户数据时，它将客户数据转换为更有利于决策支持系统应用程序进行处理的格式，客户可以通过该应用程序分析其数据。

公开(公告)号：US07035925B1

公开(公告)日：2006-04-25

申请号：US11149036

申请日：2005-06-08

Applicant: Krishnamohan Nareddy ,  Radha Krishna Uppala

Inventor： Krishnamohan Nareddy ,  Radha Krishna Uppala

IPC: G06F15/173

CPC classification number: G06F17/30864 ,  H04L67/02 ,  H04L67/22 ,  Y10S707/99931 ,  Y10S707/99936

Abstract: A method, system and computer-readable medium for analyzing interaction or usage data, such as for customers, is described. Various data parsing information may be defined and used as part of the analysis, such as by using customer-specific information to identify various occurrences of interest. For example, the parser component can use data defining customer-specific categories of content set items and customer-specific types of events of interest. Such high-level types of occurrences can be specified in a variety of ways, such as by using a combination of a logical web site, one or more URIs corresponding to web pages, and/or one or more query strings. In addition, in order to associate the appropriate data parsing information with data to be processed, the data parsing information can also include version information that specifies when it is applicable. The data parsing information may also map actual web sites to logical sites.

Abstract translation: 描述用于分析交互或使用数据的方法，系统和计算机可读介质，例如用于客户。 可以将各种数据解析信息定义并用作分析的一部分，例如通过使用客户特定信息来识别感兴趣的各种事件。 例如，解析器组件可以使用定义客户特定类别的内容集项目和客户特定类型的感兴趣事件的数据。 可以通过各种方式来指定这种高级类型的事件，例如通过使用逻辑网站，对应于网页的一个或多个URI和/或一个或多个查询字符串的组合。 此外，为了将适当的数据解析信息与要处理的数据相关联，数据解析信息还可以包括指定何时适用的版本信息。 数据解析信息还可以将实际网站映射到逻辑站点。

公开(公告)号：US08214388B2

公开(公告)日：2012-07-03

申请号：US11305916

申请日：2005-12-19

Applicant: Radha Krishna Uppala

Inventor： Radha Krishna Uppala

IPC: G06F7/00

CPC classification number: G06F17/30575 ,  G06F17/30312

Abstract: An improved system and method for adding a storage server in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Any data table may be flexibly partitioned into column chunks using one or more columns with various partitioning methods. Additional storage servers may then be added and column chunks may be redistributed among the storage servers in the column chunk data store.

Abstract translation: 提供了一种用于在分布式列块数据存储中添加存储服务器的改进的系统和方法。 分布式列组块数据存储可以由可操作地耦合到网络的多个存储服务器提供。 提供的存储服务器可以包括数据库引擎，用于将数据表划分成用于在多个存储服务器上分发的列块;存储共享存储器，用于在对列块执行的语义操作的处理期间存储列块;以及存储服务管理器 用于跨多个存储服务器分区分区数据表的列块。 可以使用具有各种分区方法的一个或多个列将任何数据表灵活地分割成列块。 然后可以添加附加的存储服务器，并且可以在列组块数据存储中的存储服务器之间重新分配列块。

公开(公告)号：US08060720B2

公开(公告)日：2011-11-15

申请号：US12511972

申请日：2009-07-29

Applicant: Radha Krishna Uppala

Inventor： Radha Krishna Uppala

IPC: G06F12/00

CPC classification number: G06F3/0647 ,  G06F3/0607 ,  G06F3/0619 ,  G06F3/0634 ,  G06F3/067 ,  G06F11/1662 ,  Y10S707/99942 ,  Y10S707/99953

Abstract: An improved system and method for removing a storage server in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Any data table may be flexibly partitioned into column chunks using one or more columns with various partitioning methods. Storage servers may then be removed and column chunks may be redistributed among the remaining storage servers in the column chunk data store.

Abstract translation: 提供了一种用于删除分布式列块数据存储中的存储服务器的改进的系统和方法。 分布式列组块数据存储可以由可操作地耦合到网络的多个存储服务器提供。 提供的存储服务器可以包括数据库引擎，用于将数据表划分成用于在多个存储服务器上分发的列块;存储共享存储器，用于在对列块执行的语义操作的处理期间存储列块;以及存储服务管理器 用于跨多个存储服务器分区分区数据表的列块。 可以使用具有各种分区方法的一个或多个列将任何数据表灵活地分割成列块。 然后可以删除存储服务器，并且可以在列组块数据存储中的剩余存储服务器之间重新分配列块。

公开(公告)号：US07921131B2

公开(公告)日：2011-04-05

申请号：US11305958

申请日：2005-12-19

Applicant: Radha Krishna Uppala

Inventor： Radha Krishna Uppala

IPC: G06F7/06 ,  G06F17/30

CPC classification number: G06F17/30545 ,  Y10S707/972

Abstract: An improved system and method for query processing in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Query processing may be performed by storage servers or query processing servers operably coupled by a network to storage servers in the column chunk data store. To do so, a hierarchy of servers may be dynamically determined to process execution steps of a query transformed for distributed processing.

Abstract translation: 提供了一种用于分布式列块数据存储中的查询处理的改进的系统和方法。 分布式列组块数据存储可以由可操作地耦合到网络的多个存储服务器提供。 提供的存储服务器可以包括数据库引擎，用于将数据表划分成用于在多个存储服务器上分发的列块;存储共享存储器，用于在对列块执行的语义操作的处理期间存储列块;以及存储服务管理器 用于跨多个存储服务器分区分区数据表的列块。 查询处理可以由存储服务器或查询处理服务器通过网络可操作地耦合到列组块数据存储器中的存储服务器来执行。 为此，可以动态地确定服务器的层次结构，以处理转换为分布式处理的查询的执行步骤。

公开(公告)号：US20110016127A1

公开(公告)日：2011-01-20

申请号：US12886193

申请日：2010-09-20

Applicant: Radha Krishna Uppala

Inventor： Radha Krishna Uppala

IPC: G06F17/30

CPC classification number: G06F17/30424 ,  G06F17/30371 ,  G06F17/30445 ,  G06F17/30545 ,  G06F17/30584 ,  Y10S707/969 ,  Y10S707/973

Abstract: An improved system and method for query processing in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Query processing may be performed by storage servers or query processing servers operably coupled by a network to storage servers in the column chunk data store. To do so, a hierarchy of servers may be dynamically determined to process execution steps of a query transformed for distributed processing.

Abstract translation: 提供了一种用于分布式列块数据存储中的查询处理的改进的系统和方法。 分布式列组块数据存储可以由可操作地耦合到网络的多个存储服务器提供。 提供的存储服务器可以包括数据库引擎，用于将数据表划分成用于在多个存储服务器上分发的列块;存储共享存储器，用于在对列块执行的语义操作的处理期间存储列块;以及存储服务管理器 用于跨多个存储服务器分区分区数据表的列块。 查询处理可以由存储服务器或查询处理服务器通过网络可操作地耦合到列组块数据存储器中的存储服务器来执行。 为此，可以动态地确定服务器的层次结构，以处理转换为分布式处理的查询的执行步骤。

公开(公告)号：US07546321B2

公开(公告)日：2009-06-09

申请号：US11311510

申请日：2005-12-19

Applicant: Radha Krishna Uppala

Inventor： Radha Krishna Uppala

IPC: G06F17/30

CPC classification number: G06F11/1004 ,  G06F11/1076 ,  Y10S707/99942 ,  Y10S707/99953

Abstract: An improved system and method for recovery from failure of a storage server in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Any data table may be flexibly partitioned into column chunks using one or more columns with various partitioning methods. Storage servers may then fail and column chunks may be recreated from parity column chunks and redistributed among the remaining storage servers in the column chunk data store.

Abstract translation: 提供了一种用于从分布式列块数据存储中的存储服务器的故障恢复的改进的系统和方法。 分布式列组块数据存储可以由可操作地耦合到网络的多个存储服务器提供。 提供的存储服务器可以包括数据库引擎，用于将数据表划分成用于在多个存储服务器上分发的列块;存储共享存储器，用于在对列块执行的语义操作的处理期间存储列块;以及存储服务管理器 用于跨多个存储服务器分区分区数据表的列块。 可以使用具有各种分区方法的一个或多个列将任何数据表灵活地分割成列块。 然后，存储服务器可能会失败，并且可以从奇偶校验列块重新创建列块，并在列组块数据存储中的其余存储服务器之间重新分配。

公开(公告)号：US07447839B2

公开(公告)日：2008-11-04

申请号：US11226606

申请日：2005-09-13

Applicant: Radha Krishna Uppala

Inventor： Radha Krishna Uppala

IPC: G06F12/06

CPC classification number: G06F11/1052 ,  G06F3/0601 ,  G06F2003/0692

Abstract: An improved system and method for a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Any data table may be flexibly partitioned into column chunks using one or more columns as a key with various partitioning methods. There may also be a storage policy for specifying how to partition a data table for distributing column chunks across multiple servers and for specifying a level of redundancy for recovery from failure of storage servers.

Abstract translation: 提供了一种用于分布式列块数据存储的改进的系统和方法。 分布式列组块数据存储可以由可操作地耦合到网络的多个存储服务器提供。 存储服务器可以包括数据库引擎，用于将数据表划分成用于在多个存储服务器上分发的列块;存储共享存储器，用于在对列块执行的语义操作的处理期间存储列块;以及存储服务管理器， 跨多个存储服务器分区数据表的列块。 可以使用一个或多个列作为具有各种分区方法的密钥来将任何数据表灵活地分割成列块。 还可能存在一条存储策略，用于指定如何分割数据表以在多个服务器之间分配列块，并指定从存储服务器故障中恢复的冗余级别。