Db2

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IBM Db2 is a relational database which focuses on transactional and warehousing workloads. In 2017, IBM Db2 was announced which is the successor name of DB2 (introduced in the 1980s). In version 9, IBM Db2 started to support non-relational structures like JSON and XML. IBM Db2 can only be run on the mainframe which is known as IBM Db2 for z/OS before the release of IBM Db2 for Linux, UNIX, and Windows (LUW). The main difference between IBM Db2 z/OS and LUW is the database administration, but basic operations are very similar. Nowadays, it can support many other platforms including i, VSE, and VM. Besides, it is kind of confusing that IBM Db2 has four different code bases. The main reason is that in the early development, IBM needs to meet the requirements of different customers and support different hardware and operating systems. It is very hard to merge them to be compatible with previous releases.[04][05][06][07][08]

Logo Versions

Website: https://ibm.com/software/data/db2[01]
Tech Docs: https://www-01.ibm.com/support/docview.wss?uid=swg27009474[02]
Developer: IBM Corporation
Country of Origin: US
Start Year: 1983
Project Type: Commercial
Operating Systems: Linux, macOS, Windows, z/OS
License: Proprietary
Wikipedia: https://en.wikipedia.org/wiki/IBM_Db2[03]

Database Entry

Db2

Viewing Revision #12 from 2018-12-11 21:23 View Current

History[06]

IBM Db2 dates back to early of the 1970s. At that time, IBM researcher Edgar F. Codd described relational databases theory and published the important paper “A Relational Model of Data for Large Shared Data Banks.” As IBM’s first commercial relational database, IBM Db2 came after System R and improved the SEQUEL in System R to SQL. The latest version of IBM Db2 is 11.1, which was released on April 12, 2016.

Checkpoints[09]

Non-Blocking Blocking

IBM Db2 can take a backup using the BACKUP command and it supports online, offline backup using different parameters.

Compression[10]

Naïve (Record-Level)

IBM Db2 supports Row compression and Value compression. Row compression, also known as deep compression, compress data by using shorter symbol strings to remove patterns of values that duplicate across rows. Value compression compress data by storing only one copy of the same value.

Concurrency Control[11][12]

Two-Phase Locking (Deadlock Prevention) Optimistic Concurrency Control (OCC)

IBM Db2 supports OPTIMISTIC CONCURRENCY CONTROL (OCC) and Two-Phase Locking (2PL). OCC believes that values are unlikely to change before the update or deletion operations but will incur more retry logic in the application. IBM Db2 supports OCC since version 9.5, and the history of 2PL, which was first invented by IBM, can be dated back to 1970s.

Data Model[13][14]

Relational Document / XML

IBM Db2 is a relational database since it was first developed. It added the support of XML documents using pureXML® feature in the IBM Db2 9. To use pureXML, the column should be defined as the XML data type. The XML column can be queried and updated using XQuery and SQL statements.

Foreign Keys[15]

Supported

IBM Db2 can define foreign key constraints during creating and altering table. With the definition of foreign key constraints, the database manager will maintain integrities automatically when one object refers another one.

Hardware Acceleration[16][17]

Custom

IBM Db2 uses nest accelerators to compress backup images and log archive files. Nest accelerator compresses main memory using 842 algorithm.

Indexes[18]

B+Tree

IBM Db2 uses B+tree as the underlying index data structures. There are three different kinds of nodes, root node, intermediate node, and leaf node in B+ tree. When finding a specific key value pair, IBM Db2 will follow the path from root to leaf.

Isolation Levels[19][20]

Read Uncommitted Repeatable Read Cursor Stability

IBM Db2 supports four different kinds of isolation level, which are Repeatable read, Read stability, Cursor stability and Uncommitted read. The default level is cursor stability.

Joins[21]

Nested Loop Join Hash Join Sort-Merge Join

IBM Db2 can support three different kinds of join algorithms, which are nested-loop join, merge join, and hash join. Hash join has the best performance among the three algorithms if memory is large enough to ensure hash loops will not interact with disks too often. To make the hash join works better, it is recommended to estimate and then set the memory large enough but without exceeding the memory limit.

Logging[22]

Physiological Logging

IBM Db2 use Physiological logging which can be dated back to the famous paper ARIES in 1992, which was developed at IBM Research. ARIES uses Write-Ahead Logging with STEAL + NO FORCE policy.

Query Execution[23]

Tuple-at-a-Time Model

IBM Db2 uses Iterator Model. There is a next function in every query plan operator. Every time the next function being called, it will either return a single tuple or null when all the tuples have been processed.

Query Interface[24]

SQL Stored Procedures

IBM Db2 supports the majority of SQL standards. Also, it can support stored procedure which is a set of SQL statements with a dedicated name. Stored procedure can be invoked from command line and application program.

Storage Architecture[25][26]

Disk-oriented

IBM Db2 use disk as the primary storage location of data. Therefore, it is a disk-oriented DBMS. It is worth to mention that IBM Db2 can support multiple buffer pools, which is the connection between volatile and non-volatile storage. Multiple buffer pools have many advantages. For example, it can accelerate queries that need temporary storage by storing temporary data into separate buffer pools. Also, the data of some seldom-used applications can be stored separately to avoid flushing some hot data.

Storage Model[27]

Decomposition Storage Model (Columnar)

IBM Db2 stores the values of a single attribute continuously in disk, i.e. DECOMPOSITION STORAGE MODEL (DSM). DSM is suitable for OLAP workloads as queries usually perform large scan over a subset of the attributes.

Stored Procedures[24]

Supported

IBM Db2 supports three different kinds of Stored Procedures, which are external stored procedures, external SQL procedures (execute like external stored procedures), and native SQL procedures (create by a single SQL statement). The latter two are written entirely in SQL while the first one can be written in a host language.