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OPTIMIZATION OF DATA PROCESSING JOB EXECUTION USING HASH TREES

机译:使用哈希树优化数据处理作业执行

摘要

Optimization of job execution includes generating a hash tree for an initial dataset, executing a data processing job against the initial dataset, the job including a set of calculations against data of the records of the initial dataset, generating, based on a modification to the initial dataset to produce a modified dataset, a hash tree for the modified dataset, comparing the hash tree for the initial dataset to the hash tree for the modified dataset, and identifying one or more blocks of the modified dataset that are updated compared to the initial dataset, and re-executing the job against the modified dataset. The re-executing performs only those calculations that use data of the records of the one or more blocks that are updated compared to the initial dataset, and does not perform other calculations that do not use data of the records of the one or more blocks.
机译:作业执行的优化包括为初始数据集生成哈希树,针对初始数据集执行数据处理作业,该作业包括针对初始数据集的记录数据的一组计算,基于对初始数据的修改来生成数据集以生成修改后的数据集,修改后的数据集的哈希树,将初始数据集的哈希树与修改后的数据集的哈希树进行比较,并标识修改后的数据集的一个或多个与原始数据集相比已更新的块,然后针对修改后的数据集重新执行作业。重新执行仅执行那些使用与初始数据集相比已更新的一个或多个块的记录数据的那些计算,并且不执行不使用一个或多个块的记录数据的其他计算。

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