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  2. 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.

  3. Block nested loop - Wikipedia

    en.wikipedia.org/wiki/Block_nested_loop

    It then scans , and probes the hash table to find tuples that match any of the tuples in the current page of . This reduces the number of scans of S {\displaystyle S} that are necessary. algorithm block_nested_loop_join is for each page pr in R do for each page ps in S do for each tuple r in pr do for each tuple s in ps do if r and s satisfy ...

  4. Nested loop join - Wikipedia

    en.wikipedia.org/wiki/Nested_loop_join

    algorithm nested_loop_join is for each tuple r in R do for each tuple s in S do if r and s satisfy the join condition then yield tuple <r,s> This algorithm will involve n r *b s + b r block transfers and n r +b r seeks, where b r and b s are number of blocks in relations R and S respectively, and n r is the number of tuples in relation R.

  5. Category:Join algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Join_algorithms

    Hash join; N. Nested loop join; S. Sort-merge join; Symmetric hash join; W. Worst-case optimal join algorithm This page was last edited on 22 July 2023, at 03:25 ...

  6. Join (SQL) - Wikipedia

    en.wikipedia.org/wiki/Join_(SQL)

    Three fundamental algorithms for performing a binary join operation exist: nested loop join, sort-merge join and hash join. Worst-case optimal join algorithms are asymptotically faster than binary join algorithms for joins between more than two relations in the worst case.

  7. Loop dependence analysis - Wikipedia

    en.wikipedia.org/wiki/Loop_dependence_analysis

    Loop carried dependence graphs (LDG) gives a visual representation of all true dependencies, anti dependencies, and output dependencies that exist between different iterations in a loop. [1] Each iteration is represented with a node. It is easier to show the difference between the two graphs with a nested for loop.

  8. Loop nest optimization - Wikipedia

    en.wikipedia.org/wiki/Loop_nest_optimization

    (Nested loops occur when one loop is inside of another loop.) One classical usage is to reduce memory access latency or the cache bandwidth necessary due to cache reuse for some common linear algebra algorithms. The technique used to produce this optimization is called loop tiling, [1] also known as loop blocking [2] or strip mine and interchange.

  9. Sort-merge join - Wikipedia

    en.wikipedia.org/wiki/Sort-merge_join

    The sort-merge join (also known as merge join) is a join algorithm and is used in the implementation of a relational database management system.. The basic problem of a join algorithm is to find, for each distinct value of the join attribute, the set of tuples in each relation which display that value.