Techniques for maintaining column vectors of relational data within volatile memory
US9965501B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 1, 2015 |
| Grant date | May 8, 2018 |
| Priority date | — |
| Expiry date | Dec 1, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/284
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are provided for more efficiently using the bandwidth of the I/O path between a CPU and volatile memory during the performance of database operation. Relational data from a relational table is stored in volatile memory as column vectors, where each column vector contains values for a particular column of the table. A binary-comparable format may be used to represent each value within a column vector, regardless of the data type associated with the column. The column vectors may be compressed and/or encoded while in volatile memory, and decompressed/decoded on-the-fly within the CPU. Alternatively, the CPU may be designed to perform operations directly on the compressed and/or encoded column vector data. In addition, techniques are described that enable the CPU to perform vector processing operations on the column vector values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.