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  2. grep - Wikipedia

    en.wikipedia.org/wiki/Grep

    grep is a command-line utility for searching plaintext datasets for lines that match a regular expression. Its name comes from the ed command g/re/p (global regular expression search and print), which has the same effect.

  3. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    Lookarounds define the surrounding of a match and do not spill into the match itself, a feature only relevant for the use case of string searching. [citation needed] Some of them can be simulated in a regular language by treating the surroundings as a part of the language as well. [48]

  4. pgrep - Wikipedia

    en.wikipedia.org/wiki/Pgrep

    Additional functionality of pgrep is listing the process name as well as the PID (-l Lists the process name as well as the process ID) of all processes belonging to the group alice (-G Only match processes whose real group ID is listed. Either the numerical or symbolical value may be used): $

  5. Codd's 12 rules - Wikipedia

    en.wikipedia.org/wiki/Codd's_12_rules

    Codd's twelve rules [1] are a set of thirteen rules (numbered zero to twelve) proposed by Edgar F. Codd, a pioneer of the relational model for databases, designed to define what is required from a database management system in order for it to be considered relational, i.e., a relational database management system (RDBMS).

  6. Referential integrity - Wikipedia

    en.wikipedia.org/wiki/Referential_integrity

    An example of a database that has not enforced referential integrity. In this example, there is a foreign key (artist_id) value in the album table that references a non-existent artist — in other words there is a foreign key value with no corresponding primary key value in the referenced table.

  7. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    A relational database would first find all the users in "311", extract a list of the primary keys, perform another search for any records in the email table with those primary keys, and link the matching records together. For these types of common operations, graph databases would theoretically be faster. [20]

  8. Semgrep - Wikipedia

    en.wikipedia.org/wiki/Semgrep

    Semgrep rules are similar to source code and do not require knowledge of a domain specific language to write. Both open source and commercial rules can be forked and customized to a user's codebase, however only commercial users are able to customize commercial rules. All users are free to fork and modify open source (community) rules. [7]

  9. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).