Infrastructure driven auto-scaling of workloads
US-2024419470-A1 · Dec 19, 2024 · US
US8990216B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8990216-B2 |
| Application number | US-72726610-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 19, 2010 |
| Priority date | Mar 19, 2010 |
| Publication date | Mar 24, 2015 |
| Grant date | Mar 24, 2015 |
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Architecture that includes an index creation algorithm that utilizes available resources and dynamically adjusts to successfully scale with increased resources and be able to do so for any data distribution. The resources can be processing resources, memory, and/or input/output, for example. A finer level of granularity, called a segment, is utilized to process tuples in a partition while creating an index. The segment also aligns with compression techniques for the index. By choosing an appropriate size for a segment and using load balancing the overall time for index creation can be reduced. Each segment can then be processed by a single thread thereby limiting segment skew. Skew is further limited by breaking down the work done by a thread into parallelizable stages.
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What is claimed is: 1. A computer-implemented indexing system having a physical storage media, comprising: an access component configured to select a segment granularity size corresponding to segments included in a list of partitions as part of executing a query; an indexing component configured to build an index based on the segment granularity size to facilitate processing the segments; and an execution component configured to manage the processing of the segments according…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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