SOLUTION FOR IMPLEMENTING COMPUTING SERVICE BASED ON STRUCTURED QUERY LANGUAGE STATEMENT

    公开(公告)号:US20200293519A1

    公开(公告)日:2020-09-17

    申请号:US16796088

    申请日:2020-02-20

    Abstract: Syntax parsing on a SQL statement is performed to determine whether an extended syntax identifier exists in the SQL statement, where the extended syntax identifier indicates a target computing service for the SQL statement. It is determined that the extended syntax identifier exists in the SQL statement. A computing service description statement in a first statement format is generated based on the SQL statement, where the first statement format is a statement format that can be recognized by a target computing framework. The computing service description statement is submitted to the target computing framework. Data queried by the SQL statement is invoked, in the target computing framework based on the computing service description statement, to perform target computation, where the SQL statement includes a computing element needed by the target computing service.

    DATA SEARCH PROCESSING
    2.
    发明申请
    DATA SEARCH PROCESSING 审中-公开
    数据搜索处理

    公开(公告)号:US20150161139A1

    公开(公告)日:2015-06-11

    申请号:US14564959

    申请日:2014-12-09

    CPC classification number: G06F16/24578 G06F16/9535

    Abstract: A search request sent by a user is received to obtain one or more query words included in the search request. Historical operating information relating to a data object in a search result corresponding to the query words is conducted statistics. An attribute of the data object is selected as a specified attribute to generate a probability distribution model of the attribute value on the specified attribute of the data object. A respective probability corresponding to the attribute value of each data object on the specific attribute in the research result corresponding to the search request sent by the current user is calculated by using the probability distribution model. The output rank of the data objects in the search result is adjusted by using the probability. The present techniques improve reasonability of displaying the data objects in the search result and provide more accurate result.

    Abstract translation: 接收用户发送的搜索请求以获得包括在搜索请求中的一个或多个查询词。 对与查询词相对应的搜索结果中的数据对象有关的历史操作信息进行统计。 选择数据对象的属性作为指定属性,以生成数据对象的指定属性上的属性值的概率分布模型。 通过使用概率分布模型计算与当前用户发送的搜索请求对应的研究结果中的每个数据对象的特定属性的属性值相应的概率。 通过使用概率来调整搜索结果中的数据对象的输出等级。 本技术提高了在搜索结果中显示数据对象的合理性,并提供更准确的结果。

    COMPONENT LOGICAL THREADS QUANTITY ADJUSTMENT METHOD AND DEVICE

    公开(公告)号:US20180307536A1

    公开(公告)日:2018-10-25

    申请号:US16024539

    申请日:2018-06-29

    CPC classification number: G06F9/505 G06F9/5083

    Abstract: A method for adjusting a number of logical threads for a component including acquiring a plurality of logical threads that is callable by a component; determining a load state of each logical thread according to a utilization rate of a data processing queue corresponding to each logical thread, the load state including a normal load state and an abnormal load state; determining, according to the load states of the logical threads of the component, whether the number of logical threads of the component needs to be adjusted; and adjusting the number of logical threads of the component according to the determination result if the number of logical threads of the component needs to be adjusted. By using the method and the apparatus, the utilization rate of resources is improved while ensuring real-time calculation of data.

    RANKING PRODUCT SEARCH RESULTS
    4.
    发明申请
    RANKING PRODUCT SEARCH RESULTS 有权
    排名产品搜索结果

    公开(公告)号:US20140297476A1

    公开(公告)日:2014-10-02

    申请号:US14222254

    申请日:2014-03-21

    CPC classification number: G06Q30/0625 G06F17/3053 G06F17/30699 G06F17/30867

    Abstract: Ranking product search results is disclosed, including: determining a plurality of sample pairs corresponding to a query word; determining a plurality of feature score values corresponding to a set of ranking features associated with the query word for each product associated with each of at least a subset of the plurality of sample pairs; and determining a set of weightings corresponding to the set of ranking features based at least in part on the plurality of feature score values and ranking priority assignments corresponding to the at least subset of the plurality of sample pairs.

    Abstract translation: 公开了排名产品搜索结果,包括:确定对应于查询词的多个样本对; 确定与与所述多个样本对的至少一个子集中的每一个相关联的每个产品与所述查询词相关联的一组排序特征对应的多个特征得分值; 以及至少部分地基于所述多个特征得分值和对应于所述多个样本对的所述至少子集的排序优先级分配来确定对应于所述一组排名特征的加权集合。

    Component logical threads quantity adjustment method and device

    公开(公告)号:US10783005B2

    公开(公告)日:2020-09-22

    申请号:US16024539

    申请日:2018-06-29

    Abstract: A method for adjusting a number of logical threads for a component including acquiring a plurality of logical threads that is callable by a component; determining a load state of each logical thread according to a utilization rate of a data processing queue corresponding to each logical thread, the load state including a normal load state and an abnormal load state; determining, according to the load states of the logical threads of the component, whether the number of logical threads of the component needs to be adjusted; and adjusting the number of logical threads of the component according to the determination result if the number of logical threads of the component needs to be adjusted. By using the method and the apparatus, the utilization rate of resources is improved while ensuring real-time calculation of data.

    Ranking product search results
    6.
    发明授权

    公开(公告)号:US09818142B2

    公开(公告)日:2017-11-14

    申请号:US14222254

    申请日:2014-03-21

    CPC classification number: G06Q30/0625 G06F17/3053 G06F17/30699 G06F17/30867

    Abstract: Ranking product search results is disclosed, including: determining a plurality of sample pairs corresponding to a query word; determining a plurality of feature score values corresponding to a set of ranking features associated with the query word for each product associated with each of at least a subset of the plurality of sample pairs; and determining a set of weightings corresponding to the set of ranking features based at least in part on the plurality of feature score values and ranking priority assignments corresponding to the at least subset of the plurality of sample pairs.

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