week 1

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American Military University *

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290

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Computer Science

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Dec 6, 2023

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1

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What type of queries benefits from parallel processing? When dealing with select statements that involve scanning a large number of pages but returning relatively few rows, such as table scans or clustered index scans with grouped or ungrouped aggregates, parallel processing can prove to be beneficial. Similarly, select statements with where clauses that retrieve only a small percentage of rows from large scans can benefit from parallel processing. Parallel queries can also be used for queries containing union, order by, or distinct operations in order to populate worktables and perform parallel sorting. In addition, select statements using merge joins can employ parallel processing for table scanning, sorting, and merging. The optimizer also chooses parallel processing for select statements that involve a reformatting strategy, allowing for parallel worktable population and sorting. Finally, parallel queries are useful when creating index statements and altering table statements with added constraint clauses that create indexes, unique constraints, and primary keys. What are the benefits of parallel databases? Parallel databases have the ability to perform queries and process data simultaneously, resulting in quicker query responses and reduced processing time for data-centric operations. Additionally, they typically come equipped with fault tolerance mechanisms that ensure uninterrupted operation, even in the event of node or processor failure. Data is often replicated across multiple nodes, and if there is a failure, the database can seamlessly switch to backup nodes to maintain system availability. By adding more processors or nodes to the system, parallel databases can horizontally scale to manage larger data volumes and user concurrency without sacrificing performance. How does Oracle utilize memory to speed up processes? By utilizing memory, Oracle enhances the speed of processes. This is achieved through various techniques such as maintaining a buffer cache for frequently accessed data blocks, using shared pools for caching parsed SQL statements and execution plans, and utilizing the large pool for shared server processes and other memory-intensive operations. Parallel Query Processing . Sybooks Online. (n.d.). https://infocenter.sybase.com/help/index.jsp? topic=%2Fcom.sybase.dc20023_1251%2Fhtml%2Foptimizer%2FX16540.htm Papiewski, J. (n.d.). The advantages of parallel databases . Techwalla. https://www.techwalla.com/articles/the-advantages-of-parallel-databases Ryan, J. (2018, September 13). Oracle in-memory: In plain english - dzone . dzone.com. https://dzone.com/articles/oracle-in-memory-in-plain-english
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