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Functionality of decomposition data skew in asymmetric massively parallel processing databases

机译:非对称大规模并行处理数据库中分解数据偏斜的功能

摘要

Database queries are optimized through the functionality of decomposition data skew in an asymmetric massively parallel processing database system. A table having data skew is restructured by (1) storing original data values of a distribution key in a special switch column added to the table, (2) replacing the original data values of the distribution key with modified data values such as randomly generated data values, and (3) partitioning the rows across the nodes of the asymmetric massively parallel processing database system based on the distribution key. The original data values that are stored and replaced may only comprise a subset of the original data values that cause data skew in the table. Data skew is reduced, which improves performance, yet the original data values remain available, which reduces the impact on collocated joins.
机译:数据库查询通过非对称大规模并行处理数据库系统中分解数据偏斜的功能进行了优化。通过(1)将分配键的原始数据值存储在添加到该表的特殊开关列中,(2)用修改后的数据值(例如随机生成的数据)替换分配键的原始数据值,来重构具有数据偏斜的表值;以及(3)根据分配键在非对称大规模并行处理数据库系统的节点之间划分行。存储和替换的原始数据值可能仅包含导致表中数据偏斜的原始数据值的子集。减少了数据偏斜,从而提高了性能,但是原始数据值仍然可用,从而减少了对并置联接的影响。

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