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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. Query plan - Wikipedia

    en.wikipedia.org/wiki/Query_plan

    RBO is slowly being deprecated. For CBO to be used, all the tables referenced by the query must be analyzed. To analyze a table, a DBA can launch code from the DBMS_STATS package. Other tools for query optimization include: SQL Trace [1] Oracle Trace and TKPROF [2] Microsoft SMS (SQL) Execution Plan [3] Tableau Performance Recording (all DB) [4

  4. Database index - Wikipedia

    en.wikipedia.org/wiki/Database_index

    To process this statement without an index the database software must look at the last_name column on every row in the table (this is known as a full table scan). With an index the database simply follows the index data structure (typically a B-tree) until the Smith entry has been found; this is much less computationally expensive than a full ...

  5. Halloween Problem - Wikipedia

    en.wikipedia.org/wiki/Halloween_Problem

    The 1995 SQL Reunion (Protokoll) The "Halloween Problem" for XML APIs, Mike Champion's weblog. (archive) A well-intentioned query and the Halloween Problem, Los Alamos National Laboratory, Anecdotes, IEEE Annals of the History of Computing

  6. Nested loop join - Wikipedia

    en.wikipedia.org/wiki/Nested_loop_join

    If the inner relation has an index on the attributes used in the join, then the naive nest loop join can be replaced with an index join. algorithm index_join is for each tuple r in R do for each tuple s in S in the index lookup do yield tuple <r,s>

  7. Block Range Index - Wikipedia

    en.wikipedia.org/wiki/Block_Range_Index

    A Block Range Index or BRIN is a database indexing technique. They are intended to improve performance with extremely large [i] tables.. BRIN indexes provide similar benefits to horizontal partitioning or sharding but without needing to explicitly declare partitions.

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    search.aol.com

    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  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.