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Optimizing data processing across server clusters and data centers using checkpoint-based data replication

机译:使用基于检查点的数据复制跨服务器群集和数据中心优化数据处理

摘要

Aspects of the disclosure relate to optimizing data processing across server clusters and data centers using checkpoint-based data replication. A computing platform may determine to initiate a data processing job associated with identifying one or more features of a source dataset, and the data processing job may include multiple processing steps. Based on determining to initiate the data processing job, the computing platform may generate one or more commands directing one or more cluster server nodes associated with a data center to execute the multiple processing steps. The one or more commands may direct the one or more cluster server nodes to update a checkpoint table as each processing step is completed, and may further direct the one or more cluster server nodes to replicate processing results data to at least one other data center. Subsequently, the computing platform may send the generated commands to the cluster server nodes.
机译:本公开的各方面涉及使用基于检查点的数据复制来跨服务器群集和数据中心优化数据处理。计算平台可以确定启动与识别源数据集的一个或多个特征相关联的数据处理作业,并且该数据处理作业可以包括多个处理步骤。基于确定启动数据处理作业,计算平台可以生成一个或多个命令,该命令引导与数据中心相关联的一个或多个集群服务器节点以执行多个处理步骤。一个或多个命令可以在每个处理步骤完成时指示一个或多个集群服务器节点更新检查点表,并且可以进一步指示一个或多个集群服务器节点将处理结果数据复制到至少一个其他数据中心。随后,计算平台可以将所生成的命令发送到群集服务器节点。

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