Tag: Columnar Storage

There will be time-consuming hard disk scanning and reading when the volume of data to be processed is large. Columnar storage, used when there are a lot of columns but only a few will be retrieved for the computation, can reduce hard disk accesses and enhance performance. That’s why many data warehouse products use columnar storage. Yet there is the issue of non-synchronized segmentation with columnar data when we are trying to handle it with multithreaded processing. Dividing a table into almost even segments is a prerequisite for parallel processing. It is simple to segment a table using row-oriented storage. We

The columnar storage brings higher performance in many scenarios and is utilized by not a few data warehouse products. When large data sets are involved in computations, disk scanning and reading accounts for a good part of the computation time. Columnar storage enables reading the desired columns only when there are a great many columns, but the computation involves a very small number of them, minimizing disk accesses and boosting performance. Yet sometimes the technology is not as fast as expected; quite the contrary, it leads to lower performance than row-oriented storage. The indexing technique is often used to achieve