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  2. Full table scan - Wikipedia

    en.wikipedia.org/wiki/Full_table_scan

    The cost is predictable, as every time database system needs to scan full table row by row. When table is less than 2 percent of database block buffer, the full scan table is quicker. Cons: Full table scan occurs when there is no index or index is not being used by SQL. And the result of full scan table is usually slower that index table scan.

  3. Elevator algorithm - Wikipedia

    en.wikipedia.org/wiki/Elevator_algorithm

    The elevator algorithm, or SCAN, is a disk-scheduling algorithm to determine the motion of the disk's arm and head in servicing read and write requests.. This algorithm is named after the behavior of a building elevator, where the elevator continues to travel in its current direction (up or down) until empty, stopping only to let individuals off or to pick up new individuals heading in the ...

  4. Search algorithm - Wikipedia

    en.wikipedia.org/wiki/Search_algorithm

    Visual representation of a hash table, a data structure that allows for fast retrieval of information In computer science , a search algorithm is an algorithm designed to solve a search problem . Search algorithms work to retrieve information stored within particular data structure , or calculated in the search space of a problem domain, with ...

  5. I/O scheduling - Wikipedia

    en.wikipedia.org/wiki/I/O_scheduling

    Shortest seek first, also known as Shortest Seek / Service Time First (SSTF) Elevator algorithm, also known as SCAN (including its variants, C-SCAN, LOOK, and C-LOOK) N-Step-SCAN SCAN of N records at a time; FSCAN, N-Step-SCAN where N equals queue size at start of the SCAN cycle; Budget Fair Queueing (BFQ) scheduler on Linux [2] [3]

  6. Hash join - Wikipedia

    en.wikipedia.org/wiki/Hash_join

    The hash join is an example of a join algorithm and is used in the implementation of a relational database management system.All variants of hash join algorithms involve building hash tables from the tuples of one or both of the joined relations, and subsequently probing those tables so that only tuples with the same hash code need to be compared for equality in equijoins.

  7. Nearest neighbor search - Wikipedia

    en.wikipedia.org/wiki/Nearest_neighbor_search

    In the case of Euclidean space, this approach encompasses spatial index or spatial access methods. Several space-partitioning methods have been developed for solving the NNS problem. Perhaps the simplest is the k-d tree , which iteratively bisects the search space into two regions containing half of the points of the parent region.

  8. Trump's agenda in trouble? What the Republican revolt on ...

    www.aol.com/trumps-agenda-trouble-republican...

    Bacon said debt ceiling and short-term spending legislation will always involve some fiscally-conservative Republicans in opposition. "So you gotta have Democrats on board," he added.

  9. String-searching algorithm - Wikipedia

    en.wikipedia.org/wiki/String-searching_algorithm

    A simple and inefficient way to see where one string occurs inside another is to check at each index, one by one. First, we see if there is a copy of the needle starting at the first character of the haystack; if not, we look to see if there's a copy of the needle starting at the second character of the haystack, and so forth.