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  2. Bulk insert - Wikipedia

    en.wikipedia.org/wiki/Bulk_insert

    A Bulk insert is a process or method provided by a database management system to load multiple rows of data into a database table. Bulk insert may refer to: Transact-SQL BULK INSERT statement; PL/SQL BULK COLLECT and FORALL statements; MySQL LOAD DATA INFILE statement; PostgreSQL COPY statement

  3. Transact-SQL - Wikipedia

    en.wikipedia.org/wiki/Transact-SQL

    BULK is a Transact-SQL statement that implements a bulk data-loading process, inserting multiple rows into a table, reading data from an external sequential file. Use of BULK INSERT results in better performance than processes that issue individual INSERT statements for each row to be added.

  4. Insert (SQL) - Wikipedia

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

    An INSERT statement can also be used to retrieve data from other tables, modify it if necessary and insert it directly into the table. All this is done in a single SQL statement that does not involve any intermediary processing in the client application. A subselect is used instead of the VALUES clause. The subselect can contain joins, function ...

  5. Merge (SQL) - Wikipedia

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

    A relational database management system uses SQL MERGE (also called upsert) statements to INSERT new records or UPDATE or DELETE existing records depending on whether condition matches. It was officially introduced in the SQL:2003 standard, and expanded [citation needed] in the SQL:2008 standard.

  6. SQL - Wikipedia

    en.wikipedia.org/wiki/SQL

    SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...

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  8. Database storage structures - Wikipedia

    en.wikipedia.org/wiki/Database_storage_structures

    Index is a full index so data file does not have to be ordered; Pros and cons versatile data structure – sequential as well as random access; access is fast; supports exact, range, part key and pattern matches efficiently. volatile files are handled efficiently because index is dynamic – expands and contracts as table grows and shrinks

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