Dynamic First Match : Reducing Resource Consumption of First Match Queries in MySQL NDB Cluster

Detta är en Master-uppsats från KTH/Skolan för elektroteknik och datavetenskap (EECS)

Sammanfattning: Dynamic First Match is a learned heuristic that reduces the resource consumption of first match queries in a multi-threaded, distributed relational database, while having a minimal effect on latency. Traditional first match range scans occur in parallel across all data fragments simultaneously. This could potentially return many redundant results. Dynamic First Match reduced this redundancy by learning to scan only a portion of the data fragments first, before scanning the remaining fragments with a pruned data set. Benchmark tests show that Dynamic First Match could reduce resource consumption of first match queries containing first match range scans by over 40% while having a minimal effect on latency. 

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