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  2. Hash join - Wikipedia

    en.wikipedia.org/wiki/Hash_join

    Hash semi-join. Hash semi-join is used to return the records found in the other table. Unlike the plain join, it returns each matching record from the leading table only once, regardless of how many matches there are in the IN table. As with the anti-join, semi-join can also be left and right: Hash left semi-join. Prepare a hash table for the ...

  3. Join (SQL) - Wikipedia

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

    Join (SQL) A Venn diagram representing the full join SQL statement between tables A and B. A join clause in the Structured Query Language ( SQL) combines columns from one or more tables into a new table. The operation corresponds to a join operation in relational algebra. Informally, a join stitches two tables and puts on the same row records ...

  4. Symmetric hash join - Wikipedia

    en.wikipedia.org/wiki/Symmetric_Hash_Join

    The symmetric hash join is a special type of hash join designed for data streams. Algorithm. For each input, create a hash table. For each new record, hash and insert into inputs hash table. Test if input is equal to a predefined set of other inputs. If so, output the records. See also. Data stream management system; Data stream mining

  5. Relational algebra - Wikipedia

    en.wikipedia.org/wiki/Relational_algebra

    The right outer join behaves almost identically to the left outer join, but the roles of the tables are switched. The right outer join of relations R and S is written as R S . [e] The result of the right outer join is the set of all combinations of tuples in R and S that are equal on their common attribute names, in addition to tuples in S that ...

  6. Worst-case optimal join algorithm - Wikipedia

    en.wikipedia.org/wiki/Worst-case_optimal_join...

    An illustration of properties of join algorithms. When performing a join between more than two relations on more than two attributes, binary join algorithms such as hash join operate over two relations at a time, and join them on all attributes in the join condition; worst-case optimal algorithms such as generic join operate on a single attribute at a time but join all the relations on this ...

  7. Linear hashing - Wikipedia

    en.wikipedia.org/wiki/Linear_hashing

    Linear hashing ( LH) is a dynamic data structure which implements a hash table and grows or shrinks one bucket at a time. It was invented by Witold Litwin in 1980. [1] [2] It has been analyzed by Baeza-Yates and Soza-Pollman. [3] It is the first in a number of schemes known as dynamic hashing [3] [4] such as Larson's Linear Hashing with Partial ...

  8. Block nested loop - Wikipedia

    en.wikipedia.org/wiki/Block_nested_loop

    A block-nested loop ( BNL) is an algorithm used to join two relations in a relational database. [1] This algorithm [2] is a variation of the simple nested loop join and joins two relations and (the "outer" and "inner" join operands, respectively). Suppose . In a traditional nested loop join, will be scanned once for every tuple of .

  9. Join and meet - Wikipedia

    en.wikipedia.org/wiki/Join_and_meet

    In mathematics, specifically order theory, the join of a subset of a partially ordered set is the supremum (least upper bound) of denoted and similarly, the meet of is the infimum (greatest lower bound), denoted In general, the join and meet of a subset of a partially ordered set need not exist. Join and meet are dual to one another with ...