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  2. MyISAM - Wikipedia

    en.wikipedia.org/wiki/MyISAM

    Each MyISAM table is stored on disk in three files (if it is not partitioned). The files have names that begin with the table name and have an extension to indicate the file type. MySQL uses a .frm file to store the definition of the table, but this file is not a part of the MyISAM engine; instead it is a part of the server.

  3. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    Max DB size Max table size Max row size Max columns per row Max Blob/Clob size Max CHAR size Max NUMBER size Min DATE value Max DATE value Max column name size Informix Dynamic Server: ≈0.5 YB 12: ≈0,5YB 12: 32,765 bytes (exclusive of large objects) 32,765 4 TB 32,765 14: 10 125 13: 01/01/0001 10: 12/31/9999 128 bytes Ingres: Unlimited ...

  4. PostgreSQL - Wikipedia

    en.wikipedia.org/wiki/PostgreSQL

    PostgreSQL (/ ˌ p oʊ s t ɡ r ɛ s k j u ˈ ɛ l / POHST-gres-kew-EL) [11] [12] also known as Postgres, is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance.

  5. Medium error - Wikipedia

    en.wikipedia.org/wiki/Medium_error

    Medium errors are most commonly detected by checking the read data against a checksum – itself being most commonly also stored on the same device. The mismatch of data to its supposed checksum is assumed to be caused by the data being corrupted .

  6. EnterpriseDB - Wikipedia

    en.wikipedia.org/wiki/EnterpriseDB

    EnterpriseDB (EDB) is an American company that provides software and services based on the open-source database PostgreSQL (also known as Postgres), and is one of the largest contributors to Postgres. [2] EDB develops and integrates performance, security, and manageability enhancements into Postgres to support enterprise-class workloads.

  7. Data corruption - Wikipedia

    en.wikipedia.org/wiki/Data_corruption

    Data scrubbing is another method to reduce the likelihood of data corruption, as disk errors are caught and recovered from before multiple errors accumulate and overwhelm the number of parity bits. Instead of parity being checked on each read, the parity is checked during a regular scan of the disk, often done as a low priority background process.

  8. Named pipe - Wikipedia

    en.wikipedia.org/wiki/Named_pipe

    Without this named pipe one would need to write out the entire uncompressed version of file.gz before loading it into MySQL. Writing the temporary file is both time-consuming and results in more I/O and less free space on the hard drive. PostgreSQL's command line utility, psql, also supports loading data from named pipes. [4]

  9. Bad sector - Wikipedia

    en.wikipedia.org/wiki/Bad_sector

    Hard disk reader. A bad sector in computing is a disk sector on a disk storage unit that is unreadable. Upon taking damage, all information stored on that sector is lost. When a bad sector is found and marked, the operating system like Windows or Linux will skip it in the future.