Intelligent data sourcing in a networked storage system
US-9218376-B2 · Dec 22, 2015 · US
US9798727B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9798727-B2 |
| Application number | US-201414287589-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 27, 2014 |
| Priority date | May 27, 2014 |
| Publication date | Oct 24, 2017 |
| Grant date | Oct 24, 2017 |
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According to embodiments of the present invention, apparatus, systems, methods and computer program products for sorting and compressing an unordered set of data records from a structured database are provided. Fields of the unordered set of data records are prioritized based on an impact of those fields to a compression scheme for column-oriented compression. The unordered set of data records are sorted based on the prioritized field(s) with a greatest impact on the performance metric. Data of the sorted data records are compressed according to a compression scheme. In some embodiments, prioritizing the fields may be based on an anticipated level of usage of data within those fields and/or a cost function associated with a performance metric as well as optimization of compression. A performance metric may include a faster computational time, reduced I/O computation, faster scan time, etc.
Opening claim text (preview).
What is claimed is: 1. A system comprising: a memory; and a processor configured to: prioritize a plurality of fields of an unordered set of data records from a structured database based on an impact of those fields to a performance metric for accessing data stored in a column-oriented compressed database; select one or more of the prioritized fields based on priority of the prioritized fields, wherein the priority is based on a frequency of access of the fields; sort the unordered set of data records based on the selected one or more prioritized fields for compression and optimal performance; and compress data of the sorted data records according to a compression scheme to increase performance for accessing the data stored in the column-oriented compressed database. 2. The system of claim 1 , wherein the processor is configured to prioritize the fields based on a performance metric as assessed by a cost function, the cost function including minimizing a total amount of time reading and computing on a column as well as the compressed size of data in the column. 3. The system of claim 1 , wherein the processor is configured to sort the unordered set of data records based on a prioritized tuple of sort keys. 4. The system of claim 1 , wherein the unordered set of data records is from a columnar database or a hybrid columnar database. 5. The system of claim 1 , wherein the performance metric is determined based upon historical data. 6. The system of claim 1 , wherein the processor is configured to: update, based upon monitored performance metrics, relative priorities of the various fields to each other; decompress a set of ordered compressed records to obtain an unordered set of data records; sort the unordered set of data records based on the updated field priorities to obtain a second set of sorted data records; and compress data of the second set of sorted data records according to a compression scheme. 7. A computer program product for providing information to a user, comprising a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code, when executed by a processor, causes the processor to: prioritize a plurality of fields of an unordered set of data records from a structured database based on an impact of those fields to a performance metric for accessing data stored in a column-oriented compressed database; select one or more of the prioritized fields based on priority of the prioritized fields, wherein the priority is based on a frequency of access of the fields; sort the unordered set of data records based on the selected one or more prioritized fields for compression and optimal performance; and compress data of the sorted data records according to a compression scheme to increase performance for accessing the data stored in the column-oriented compressed database. 8. The computer program product of claim 7 , the computer readable program code further configured to cause the processor to prioritize the fields based on a performance metric as assessed by a cost function, the cost function including minimizing a total amount of time reading and computing on a column as well as the compressed size of data in the column. 9. The computer program product of claim 7 , the computer readable program code further configured to cause the processor to sort the unordered set of data records based on a prioritized tuple of sort keys. 10. The computer program product of claim 7 , wherein the performance metric is determined based upon historical data. 11. The computer program product of claim 7 , the computer readable program code further configured to cause the processor to: update, based upon monitored performance metrics, relative priorities of the various fields to each other; decompress a set of ordered compressed records to obtain an unordered set of data records; sort the unordered set of data records based on the updated field priorities to obtain a second set of sorted data records; and compress data of the second set of sorted data records according to a compression scheme. 12. The computer program product of claim 7 , wherein the unordered set of data records is from a columnar database or a hybrid columnar database.
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