Data processing method and system
A data processing system and data processing technology, applied in the field of data processing, can solve problems such as inconsistency and data processing delay, and achieve the effect of avoiding data processing delay and inconsistency
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[0036] In the existing technology, the acquired real-time data is processed through the stateful distributed real-time data processing framework - Flink, and the Flink distributed real-time processing framework uses three methods (event-driven analysis), use different computing resources (K8s, Yarn, Mesos, etc.) and storage resources (HDFS, S3, NFS, etc.) to process different types of data sources (real-time events, databases, file systems, and key-value storage, etc.) After that, it is provided to the application for consumption or persisted into different data streams. When the task restarts and needs to update the metadata, it is necessary to stop the task of real-time data processing and then update the metadata, so there is a problem of low data processing efficiency.
[0037] In order to solve the above technical problems, the embodiments of the present application provide a data processing method and system, and the technical solution of the present application will be ...
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