
Metadata management is an important component in data warehouse. In the column-oriented system, data is stored by columns while metadata is still accessed in the way of rows, so it is a problem to convert columns into rows efficiently. Studies have shown that the strategy of converting column into row is an important issue for the performance of column stores. However, till now how to manage metadata in column-oriented data warehouse hasn't been addressed in a standardized or an efficient way. This paper propose a novel method for metadata design and column to row (C2R) conversion in the column-oriented data warehouse management system (DWMS). Besides saving space for the reconstruction of metadata, C2R can improve the hit rate of metadata queries in the share pool and reduce the responding time. The effectiveness of the column-row conversion algorithm C2R and the metadata management strategy have both been verified through experiments.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
