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Recreating an OLTP table and reapplying database transactions for real-time analytics

机译:重新创建OLTP表并重新填充实时分析的数据库事务

摘要

Techniques for processing data streaming from one or more event sources in order to recreate a database table with database transactions for real-time analytics. An exemplary technique includes receiving a stream of events comprising change data for a table attribute, populating an in-memory table with the change data based on a token associated with an operation type and a mapping of a first attribute and a second attribute to a key attribute of the in-memory table, executing a continuous query on the change data for the key attribute of the in-memory table to generate events comprising data for a third attribute, and outputting the events having an output shape comprising the third attribute, where the events include the data for the third attribute.
机译:从一个或多个事件源处理数据流的技术,以便以用于实时分析的数据库事务重新创建数据库表。示例性技术包括接收包括用于表属性的更改数据的事件流,基于与操作类型关联的令牌和第一属性和第二属性的映射到键的令牌填充内存表的内存表内存表的属性,在内存表的密钥属性上执行连续查询以生成包括第三属性的数据的事件,并输出具有包含第三属性的输出形状的事件,其中该事件包括第三个属性的数据。

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