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    • 5. 发明公开
    • DATA PROCESSING METHOD AND SYSTEM
    • 数据处理方法和系统
    • EP3293641A1
    • 2018-03-14
    • EP16789273.6
    • 2016-04-21
    • Alibaba Group Holding Limited
    • HAN, Min
    • G06F17/30
    • G06F17/30336G06F7/08G06F17/30283
    • The present application discloses a data processing method and a system thereof. The method includes the following steps: selecting a part of to-be-processed key-value pairs as hotspot key-value pairs according to a screening rule; mapping the hotspot key-value pairs to obtain intermediate result key-value pairs corresponding to the hotspot key-value pairs; and reducing the intermediate result key-value pairs to generate final result key-value pairs for calling; wherein the key-value pair includes a key value representing an attribute and a key value representing attribute content. In the method and the corresponding system, the data processing system pre-processes hotspot key-value pairs to facilitate calling by a service system, while non-hotspot key-value pairs are processed only when being called by the service system, which thus reduces the volume of data that needs to be processed in real time by the data processing system providing a back-end service for the service system, improves execution efficiency of data processing, reduces the time of the service system waiting for a data processing result, and has smooth service processing and desirable user experience.
    • 本申请公开了一种数据处理方法及其系统。 该方法包括以下步骤:根据筛选规则选择部分待处理键值对作为热点键值对; 映射所述热点键值对,得到所述热点键值对对应的中间结果键值对; 并减少中间结果键值对以生成用于调用的最终结果键值对; 其中所述键值对包括表示属性的键值和表示属性内容的键值。 在该方法及相应系统中,数据处理系统预处理热点键值对以方便业务系统进行呼叫,而非热点键值对仅在业务系统调用时进行处理,从而减少 数据处理系统需要对服务系统提供后端服务需要实时处理的数据量,提高了数据处理的执行效率,减少了服务系统等待数据处理结果的时间, 具有流畅的服务处理和理想的用户体验。
    • 6. 发明公开
    • METHOD AND SYSTEM FOR MANAGING REDIS KEY-VALUE
    • 用于管理REDIS键值的方法和系统
    • EP3223173A1
    • 2017-09-27
    • EP16861196.0
    • 2016-02-16
    • Wangsu Science&technology Co., Ltd.
    • LIU, YangbinCHEN, YingwangLI, Yuting
    • G06F17/30
    • G06F17/30619G06F3/0604G06F17/3007G06F17/30336G06F17/30489G06F17/30539G06F17/30631
    • The present disclosure provides a Redis Key management method, for managing and controlling Redis Keys generated by a same task in a streaming framework, the Redis Key management method including: packaging the Redis Keys generated by the same task and storing packaged Redis Keys in a same Key bucket; performing a duplicate-removal processing on Redis Keys in the same Key bucket for being called by external data; and performing a batch deletion on Redis Keys after being called by external data. In the present disclosure, Redis Keys in the same task and located in the same partition may be stored in a Key bucket. Key buckets may be located. Duplicate-removal processing may be performed on the Redis Keys in the same Key bucket so that the Redis Keys can be called by external data. A batch deletion may be performed on the Redis Keys after being called by external data.
    • 本发明提供了一种Redis Key管理方法,用于管理和控制流框架中同一任务生成的Redis Key,该Redis Key管理方法包括:对同一任务生成的Redis Key进行打包,并将打包的Redis Key存储在同一个Redis Key中 钥匙桶; 对同一个Key桶中的Redis Keys进行重复删除处理,以供外部数据调用; 并在被外部数据调用后在Redis Keys上执行批量删除。 在本公开中,位于相同分区中的同一任务中的Redis Keys可存储在密钥桶中。 重要的桶可能位于。 可以在同一密钥桶中的Redis密钥上执行重复删除处理,以便可以通过外部数据调用Redis密钥。 在被外部数据调用后,可以在Redis Keys上执行批量删除操作。
    • 8. 发明公开
    • METHOD AND SYSTEM FOR DATABASE PROCESSING UNITS
    • 数据库处理单元的方法和系统
    • EP3158437A1
    • 2017-04-26
    • EP14759348.7
    • 2014-06-23
    • Unicredit S.p.A.
    • PRODAM, RiccardoPARIS, MarcelloRAMPONI, Fabio
    • G06F9/50
    • G06F17/30002G06F9/5044G06F17/30324G06F17/30327G06F17/3033G06F17/30333G06F17/30336
    • An electronic processor including a programmable processing device and a processor, optimizes processing of data structures by carrying out operations on coded data in the data structures. The programmable processing device autonomously carries out predetermined basic operations on data structures, so that each basic operation is managed as a pre-programmed primitive operation. The processor receives flow of coded data belonging to a data structure, and an operation request on the coded data; then, recognizing the data structure of the received data flow and the requested operation; then, determining whether to perform the requested operation or have the programmable processing device carry out the requested operation. If performed by the programmable processing device, the processor sends coded data and information about the recognized data structure and requested operation to the programmable processing device. The requested operation is executed autonomously on the received data flow and a result is obtained.
    • 通过对包含在数据结构中的编码数据执行操作,通过包括可编程处理设备(11)和至少一个处理器(12)的电子处理装置(10)描述了用于数据结构的优化处理的方法。 该方法首先包括对可编程处理设备(11)进行编程的步骤,使得它能够自​​主地对所讨论的一个或多个数据结构执行预定的多个基本操作,使得每个这样的基本操作是 作为预编程的原始操作进行管理。 然后,所述方法包括由所述至少一个处理器(12)执行的以下步骤:在输入(步骤S1)中接收属于所述数据结构之一的编码数据(D)的流,以及请求r 对这种编码数据(D)进行操作; 然后,识别(步骤S2)接收到的数据流的数据结构(DS)和所请求的操作(O); 然后,基于接收到的数据结构DS和所请求的操作(O)来确定(步骤S3)是执行所请求的操作(O)还是使得可编程处理设备(11)执行所请求的操作。 如果至少一个处理器基于例如存储在其中的预定规则确定所请求的操作(O)必须由可编程处理设备(11)执行,则该方法还包括以下步骤:发送(步骤S4) 由所述至少一个处理器(12)向所述可编程处理设备(11)发送编码数据(D)和关于所识别的数据结构(DS)和关于所请求的操作(O)的一条信息的流程; 然后,基于其中预先编程的基本操作,由可编程处理设备(11)自主地在接收​​的数据流(D)上执行所请求的操作(O) 最后,由可编程处理装置(11)提供所获得的结果(R)。
    • 9. 发明公开
    • COMPUTING CROSS-CORRELATIONS FOR SPARSE DATA
    • 伯克利·冯伯恩·冯培根
    • EP3132357A1
    • 2017-02-22
    • EP15720512.1
    • 2015-04-15
    • Raytheon Company
    • MARCUS, EranFLUCKIGER, David, U.BOLAND, Brian, F.
    • G06F17/15G01S13/10G01S13/28G01S13/88
    • G06F17/30336G01S7/486G01S17/10G06F17/142G06F17/15G06F17/3053
    • A method for computing a cross-correlation between a first sequence and a second sequence includes: generating a first index vector based on the first sequence, the first index vector including a plurality of first elements, the first index vector excluding indices of zero valued elements of the first sequence; generating a second index vector based on the second sequence, the second index vector including a plurality of second elements, the second index vector excluding indices of zero valued elements of the second sequence; computing, on a processor, a plurality of pairwise differences between each of first elements of the first index vector and each of the second elements of the second index vector; and binning, on the processor, the plurality of pairwise differences to generate the cross-correlation of the first sequence and the second sequence.
    • 一种用于计算第一序列和第二序列之间的互相关的方法包括:基于所述第一序列生成第一索引向量,所述第一索引向量包括多个第一元素,所述第一索引向量不包括零值元素的索引 的第一个序列; 基于所述第二序列生成第二索引向量,所述第二索引向量包括多个第二元素,所述第二索引向量不包括所述第二序列的零值元素的索引; 在处理器上计算所述第一索引向量的每个第一元素和所述第二索引向量中的每个第二元素之间的多个成对差异; 以及在所述处理器上分组所述多个成对差异以产生所述第一序列和所述第二序列的互相关。