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  2. Nested set model - Wikipedia

    en.wikipedia.org/wiki/Nested_set_model

    The nested set model is a technique for representing nested set collections (also known as trees or hierarchies) in relational databases.. It is based on Nested Intervals, that "are immune to hierarchy reorganization problem, and allow answering ancestor path hierarchical queries algorithmically — without accessing the stored hierarchy relation".

  3. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Meaningful patterns emerge when examining the connections and interconnections of nodes, properties and edges. The edges can either be directed or undirected. In an undirected graph, an edge connecting two nodes has a single meaning. In a directed graph, the edges connecting two different nodes have different meanings, depending on their direction.

  4. Correlated subquery - Wikipedia

    en.wikipedia.org/wiki/Correlated_subquery

    Correlated subquery. In a SQL database query, a correlated subquery (also known as a synchronized subquery) is a subquery (a query nested inside another query) that uses values from the outer query. This can have major impact on performance because the correlated subquery might get recomputed every time for each row of the outer query is processed.

  5. Graph Query Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Query_Language

    GQL is intended to be a declarative database query language, like SQL. The 2019 GQL project proposal states: "Using graph as a fundamental representation for data modeling is an emerging approach in data management. In this approach, the data set is modeled as a graph, representing each data entity as a vertex (also called a node) of the graph ...

  6. String-searching algorithm - Wikipedia

    en.wikipedia.org/wiki/String-searching_algorithm

    String-searching algorithm. In computer science, string-searching algorithms, sometimes called string-matching algorithms, are an important class of string algorithms that try to find a place where one or several strings (also called patterns) are found within a larger string or text. A basic example of string searching is when the pattern and ...

  7. Aho–Corasick algorithm - Wikipedia

    en.wikipedia.org/wiki/Aho–Corasick_algorithm

    In this example, we will consider a dictionary consisting of the following words: {a, ab, bab, bc, bca, c, caa}. The graph below is the Aho–Corasick data structure constructed from the specified dictionary, with each row in the table representing a node in the trie, with the column path indicating the (unique) sequence of characters from the root to the node.

  8. Extensible Storage Engine - Wikipedia

    en.wikipedia.org/wiki/Extensible_Storage_Engine

    They are used to speed queries with sub-string matching predicates. Tuple indexes can only be defined for Text columns. For example, if a Text column value is “I love JET Blue”, and the index is configured to have a minimum tuple size of 4 characters and a maximum tuple length of 10 characters, then the following sub-strings will be indexed:

  9. Change data capture - Wikipedia

    en.wikipedia.org/wiki/Change_data_capture

    Change data capture. In databases, change data capture (CDC) is a set of software design patterns used to determine and track the data that has changed (the "deltas") so that action can be taken using the changed data. The result is a delta-driven dataset. CDC is an approach to data integration that is based on the identification, capture and ...