Preface
Function reference
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- Function overview
  - Aggregate functions
    - Filter conditions
  - Conversion functions
  - Data cleansing functions
  - Date functions
  - Encoding functions
  - Financial functions
  - Horizontal expansion functions
  - Numeric functions
  - Scientific functions
  - Special functions
  - String functions
  - Test functions
  - Window functions
    - Aggregate functions as window functions
    - Nested aggregate functions as window functions
- Function quick reference
- Functions in advanced mode
- %OPR_CONCAT%
- %OPR_CONCATDELIM%
- %OPR_IIF%
- %OPR_SUM%
- ABORT
- ABS
- ADD_TO_DATE
- AES_DECRYPT
- AES_ENCRYPT
- AES_GCM_DECRYPT
- AES_GCM_ENCRYPT
- ASCII
- AVG
- CEIL
- CHOOSE
- CHR
- CHRCODE
- COMPRESS
- CONCAT
- CONVERT_BASE
- COS
- COSH
- COUNT
- CRC32
- CUME
- DATE_COMPARE
- DATE_DIFF
- DEC_BASE64
- DECODE
- DECOMPRESS
- ENC_BASE64
- ERROR
- EXP
- FIRST
- FLOOR
- FV
- GET_DATE_PART
- GREATEST
- IIF
- IN
- INDEXOF
- INITCAP
- INSTR
- IS_DATE
- IS_NUMBER
- IS_SPACES
- ISNULL
- LAG
- LAST
- LAST_DAY
- LEAD
- LEAST
- LENGTH
- LN
- LOG
- LOWER
- LPAD
- LTRIM
- MAKE_DATE_TIME
- MAX (Dates)
- MAX (Numbers)
- MAX (String)
- MD5
- MEDIAN
- METAPHONE
- MIN (Dates)
- MIN (Numbers)
- MIN (String)
- MOD
- MOVINGAVG
- MOVINGSUM
- NPER
- PERCENTILE
- PMT
- POWER
- PV
- RAND
- RATE
- REG_EXTRACT
- REG_MATCH
- REG_REPLACE
- REPLACECHR
- REPLACESTR
- REVERSE
- ROUND (Dates)
- ROUND (Numbers)
- RPAD
- RTRIM
- SET_DATE_PART
- SETCOUNTVARIABLE
- SETMAXVARIABLE
- SETMINVARIABLE
- SETVARIABLE
- SHA256
- SIGN
- SIN
- SINH
- SOUNDEX
- SQRT
- STDDEV
- SUBSTR
- SUM
- SYSTIMESTAMP
- TAN
- TANH
- TO_BIGINT
- TO_CHAR (Dates)
- TO_CHAR (Numbers)
- TO_DATE
- TO_DECIMAL
- TO_FLOAT
- TO_INTEGER
- TRUNC (Dates)
- TRUNC (Numbers)
- UPPER
- VARIANCE
System variables
Datatype reference

Function Reference

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Datatype reference overview

When you create a mapping or task, you create a set of instructions for

Data Integration

to read data from a source and write it to a target.

Data Integration

transforms data based on the data flow and the datatype assigned to each field.

Data Integration

uses the following types of datatypes:

Native datatypes: Native datatypes are specific to sources, targets, and lookup objects in a mapping or task. In a mapping, native datatypes appear in the sources, targets, and lookup objects.
Transformation datatypes: Transformation datatypes are internal datatypes that appear in all transformations in a mapping. They are based on ANSI SQL-92 generic datatypes.
Data Integration
uses transformation datatypes to move data across platforms.

In tasks that move data without transforming it,

such as

replication

tasks,

Data Integration

converts the native datatypes from the source to the comparable native datatypes in the target. In mappings and

mapping

tasks,

Data Integration

converts the native datatypes from the source to the comparable transformation datatypes before it starts transforming the data. When

Data Integration

writes to a target, it converts the transformation datatypes to the comparable native datatypes.