10 Top DB2 Database Terminology

Among popular databases, DB2 is one. Here are top DB2 database terminology.

DB2 Terminology

Static SQL

An SQL which is embedded in application program, you can say as Static SQL. The name itself says that SQL is fixed and it will not vary.

Dynamic SQL

An SQL will be generated or derived based on some conditions given in the application program. It needs more experience. Usually, across all the projects people use Static SQL only. However, SPUFI and QMF where you can execute Dynamic SQL.

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An integral part of SQL engine. You no need to give externally in application program. By default, optimiser parses your SQL query.

Optimizer checks Synatx and it decides Optimized path to execute SQL query.

NULL Value

When you have not given or supplied any values, DB2 treats it as NULL value. You can say NULL means lack of value.

Storage of DATE and Time

A DATE takes 4 bytes and Time takes 3 bytes. Combination of these two equal to Timestamp.

Scalar vs Aggregate

Scalar functions you can apply on only one column. Aggregate functions you can apply on group of columns.

Index vs Hashing

Index is a search columns of one or two, database will use to locate data quickly.

Hashing means the values or columns on which you use Hashing are converted to hash value. These values stored in Hash table. Db2 uses hash values to locate your data. The hashing is much faster than indexing.


Triggers are like stored procedures. You can store in database. The DBMS will take care of it when to fire trigger. It is like an event , will happen corresponding to something matching condition happens.

DB2 Utilities

Four types of utilities you can find in DB2.

  • Data Consistency
  • Data movement
  • Backup and Recovery
  • Catalog manipulation

Stand Alone Utilities

Only ADMIN can run these. Even when DB2 not active, you can run these utilities. These are purely administrative utilities. Developer has no authority to run these.

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Author: Srini

Experienced software developer. Skills in Development, Coding, Testing and Debugging. Good Data analytic skills (Data Warehousing and BI). Also skills in Mainframe.