08 February 2009

🛢DBMS: Partitioning (Definitions)

"To divide a table into logical subsets based on characteristics of the data. Partitioning is used to improve application performance or reduce the potential for conflicts in multisite update replication." (Microsoft Corporation, "SQL Server 7.0 System Administration Training Kit", 1999)

"Physically separating data into areas that are more easily maintained or accessed. Data partitioning increases performance and aids in maintenance processes." (Microsoft Corporation, "Microsoft SQL Server 7.0 Data Warehouse Training Kit", 2000)

"The process of splitting a database object (usually a tablespace, table, or index) into two or more physical locations, or partitions, that is, a splitting of a logical group of pages (for example, the pages of a table) into chains or files which are physically removed from each other, perhaps on separate disks. Informix calls this fragmentation." (Peter Gulutzan & Trudy Pelzer, "SQL Performance Tuning", 2002)

"The process of replacing a table with multiple smaller tables. Each smaller table has the same format as the original table, but with a subset of the data. Each partitioned table has rows allocated to it based on some characteristic of the data, such as specific key ranges. The rules that define into which table the rows go must be unambiguous. For example, a table is partitioned into two tables. All rows with primary key values lower than a specified value are allocated to one table, and all keys equal to or greater than the value are allocated to the other. Partitioning can improve application processing speeds and reduce the potential for conflicts in multisite update replication. You can improve the usability of partitioned tables by creating a view. The view, created by a union of select operations on all the partitioned tables, presents the data as if it all resided in a single table." (Anthony Sequeira & Brian Alderman, "The SQL Server 2000 Book", 2003)

"Physical splitting of tables into separate sections (partitions), including parallel processing on multiple partitions and individual operations on individual partitions. One particularly efficient aspect is the capability when querying a table to read fewer than all the partitions making up a table, perhaps even a single partition. This is also known as partition pruning." (Gavin Powell, "Beginning Database Design", 2006)

[data partitioning:] "Process of moving data from a single server to one or more different data repositories. This can be vertical, in which data from a single table is split into multiple tables, or horizontal, in which the number of rows in a table are restricted and partitioned by one or more columns." (Sara Morganand & Tobias Thernstrom , "MCITP Self-Paced Training Kit : Designing and Optimizing Data Access by Using Microsoft SQL Server 2005 - Exam 70-442", 2007)

"The process of replacing a table with multiple smaller units. Tables can be partitioned horizontally or vertically." (Victor Isakov et al, "MCITP Administrator: Microsoft SQL Server 2005 Optimization and Maintenance (70-444) Study Guide", 2007)

"The method for dividing a database into manageable parts for the purpose of easier management and better performance." (Paulraj Ponniah, "Data Warehousing Fundamentals for IT Professionals", 2010)

"The process of splitting a table into subsets of rows or columns." (Carlos Coronel et al, "Database Systems: Design, Implementation, and Management" 9th Ed., 2011)

"The process of replacing a table with multiple smaller tables." (Microsoft, "SQL Server 2012 Glossary,", 2012)

"With respect to distributed databases, partitioning refers to splitting documents, tables, or graphs and distributing them to different servers." (Dan Sullivan, "NoSQL for Mere Mortals®", 2015)

[index-controlled partitioning:] "A type of partitioning in which partition boundaries for a partitioned table are controlled by values that are specified on the CREATE INDEX statement." (Sybase, "Open Server Server-Library/C Reference Manual", 2019)

"Partitioning is the spreading of data across multiple files across a cluster to balance large amounts of data across disks or nodes. Read-only partitions make a read-only table space that prevents updates on all tables in the table space. Other patterns can be applied on this table space to improve performance." (Piethein Strengholt, "Data Management at Scale", 2020)

[composite partitioning:] "In partitioning strategy in which a table is partitioned by one data distribution method and then each partition is further divided into subpartitions using a second data distribution method." (Oracle, "Oracle Database Concepts")

"The ability to decompose very large tables and indexes into smaller and more manageable pieces called partitions." (Oracle, "Oracle Database Concepts")

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