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    • 1. 发明申请
    • Programmable streaming data processor for database appliance having multiple processing unit groups
    • 具有多个处理单元组的数据库设备的可编程流数据处理器
    • US20040148420A1
    • 2004-07-29
    • US10668113
    • 2003-09-18
    • Netezza Corporation
    • Foster D. HinshawDavid L. MeyersBarry M. Zane
    • G06F015/16
    • G06F17/30477G06F17/30578Y10S707/99944
    • A data processing system having two or more groups of data processors that have attributes that are optimized for their assigned functions. A first group consists of one or more host computers responsible for interfacing with applications and/or end users to obtain queries and for planning query execution. A second processor group consists of many streaming record-oriented processors called Job Processing Units (JPUs), preferably arranged as an MPP structure. The JPUs typically carry out the bulk of the data processing required to implement the logic of a query. Each of the JPUs typically include a general purpose microcomputer, local memory, one or more mass storage devices, and one or more network connections. Each JPU also has a special purpose programmable processor, referred to herein as a Programmable Streaming Data Processor (PSDP). The PSDP serves as an interface between the CPU of a JPU and the mass storage device, to offload functions from the CPU of the JPU.
    • 具有两组或更多组数据处理器的数据处理系统具有针对其分配的功能进行了优化的属性。 第一组包括一个或多个主机,负责与应用程序和/或最终用户进行接口以获取查询和规划查询执行。 第二处理器组由许多流记录导向处理器(称为作业处理单元(JPU))组成,优选地被布置为MPP结构。 JPU通常执行实现查询逻辑所需的大量数据处理。 每个JPU通常包括通用微型计算机,本地存储器,一个或多个大容量存储设备以及一个或多个网络连接。 每个JPU还具有专用可编程处理器,这里称为可编程流数据处理器(PSDP)。 PSDP作为JPU的CPU和大容量存储设备之间的接口,从JPU的CPU卸载功能。
    • 4. 发明申请
    • Intelligent storage device controller
    • 智能存储设备控制器
    • US20040133565A1
    • 2004-07-08
    • US10667203
    • 2003-09-18
    • Netezza Corporation
    • Foster D. HinshawRaymond A. AndrakaDavid L. MeyersSharon L. MillerMichael SporerWilliam K. StewartBarry M. Zane
    • G06F007/00
    • G06F17/30477G06F17/30578Y10S707/99944
    • A programmable streaming data processor that can be programmed to recognize record and field structures of data received from a streaming data source such as a mass storage device. Being programmed with, for example, field information, the unit can locate record and field boundaries and employ logical arithmetic methods to compare fields with one another or with values otherwise supplied by general purpose processors to precisely determine which records are worth transferring to memory of the more general purpose distributed processors. The remaining records arrive and are discarded by the streaming data processor or are tagged with status bits to indicate to the more general purpose processor that they are to be ignored. In a preferred embodiment, the streaming data processor may analyze and discard records for several reasons. The first reason may be an analysis of contents of the field. Other reasons for record blocking may have to do with tagging records that are to be visible to particular users depending upon a series of concurrent transactions.
    • 可编程流式数据处理器,其可以被编程以识别从诸如大容量存储设备的流数据源接收的数据的记录和场结构。 通过例如场信息进行编程,该单元可以定位记录和场边界,并采用逻辑运算方法将场相互比较,或者由通用处理器提供的值精确地确定哪些记录值得转移到 更通用的分布式处理器。 剩余的记录到达并被流式数据处理器丢弃,或者被标记为状态位,以向更通用的处理器指示它们被忽略。 在优选实施例中,流数据处理器可以由于几个原因来分析和丢弃记录。 第一个原因可能是对该领域内容的分析。 记录阻止的其他原因可能与标记根据一系列并发事务对特定用户可见的记录有关。