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MyBatis is a Java persistence framework that couples objects with stored procedures or SQL statements using an XML descriptor or annotations. MyBatis is free software that is distributed under the Apache License 2.0. MyBatis is a fork of iBATIS 3.0 and is maintained by a team that includes the original creators of iBATIS.
An inner join (or join) requires each row in the two joined tables to have matching column values, and is a commonly used join operation in applications but should not be assumed to be the best choice in all situations. Inner join creates a new result table by combining column values of two tables (A and B) based upon the join-predicate.
On May 19, 2010 iBATIS 3.0 was published and simultaneously the development team decided to continue the development of the framework at Google Code. [ 6 ] under a new project called MyBatis . On June 16, 2010 Apache announced that iBATIS was retired and moved to the Apache Attic.
In computer science, the count-distinct problem [1] (also known in applied mathematics as the cardinality estimation problem) is the problem of finding the number of distinct elements in a data stream with repeated elements. This is a well-known problem with numerous applications.
Vim's % command does bracket matching, [1] and NetBeans has bracket matching built-in. [2] Bracket matching can also be a tool for code navigation. In Visual Studio [3] C++ 6.0, bracket matching behavior was set to ignore brackets found in comments.
Longest prefix match (also called Maximum prefix length match) refers to an algorithm used by routers in Internet Protocol (IP) networking to select an entry from a routing table. [ 1 ] Because each entry in a forwarding table may specify a sub-network, one destination address may match more than one forwarding table entry.
Hence the rate of Hamming codes is R = k / n = 1 − r / (2 r − 1), which is the highest possible for codes with minimum distance of three (i.e., the minimal number of bit changes needed to go from any code word to any other code word is three) and block length 2 r − 1.
Maximum cardinality matching is a fundamental problem in graph theory. [1] We are given a graph G, and the goal is to find a matching containing as many edges as possible; that is, a maximum cardinality subset of the edges such that each vertex is adjacent to at most one edge of the subset.