Preface
The Transformation Language
Constants
Operators
Variables
- Built-in Variables
  - SYSDATE
    - Example
- Local Variables
Dates
Functions
- Function Categories
  - Aggregate Functions
  - Aggregate Functions and Nulls
    - Filter Conditions
  - Character Functions
  - Complex Functions
  - Conversion Functions
  - Data Cleansing Functions
  - Date Functions
  - Encoding Functions
  - Financial Functions
  - Numeric Functions
  - Scientific Functions
  - Special Functions
  - String Functions
  - Test Functions
  - Window Functions
- ABORT
- ABS
- ADD_TO_DATE
- AES_DECRYPT
- AES_ENCRYPT
- ANY
- ARRAY
- ASCII
- AVG
- CAST
- CEIL
- CHOOSE
- CHR
- CHRCODE
- COLLECT_LIST
- COLLECT_MAP
- COMPRESS
- CONCAT
- CONCAT_ARRAY
- CONVERT_BASE
- COS
- COSH
- COUNT
- CRC32
- CREATE_TIMESTAMP_TZ
- CUME
- DATE_COMPARE
- DATE_DIFF
- DEC_BASE64
- DECODE
- DECOMPRESS
- ENC_BASE64
- ERROR
- EXP
- EXTRACT_STRUCT
- FIRST
- FLOOR
- FV
- GET_DATE_PART
- GET_TIMEZONE
- GET_TIMESTAMP
- GREATEST
- IIF
- IN
- INDEXOF
- INITCAP
- INSTR
- ISNULL
- IS_DATE
- IS_NUMBER
- IS_SPACES
- LAG
- LAST
- LAST_DAY
- LEAD
- LEAST
- LENGTH
- LN
- LOG
- LOWER
- LPAD
- LTRIM
- MAKE_DATE_TIME
- MAP
- MAP_FROM_ARRAYS
- MAP_KEYS
- MAP_VALUES
- MAX (Dates)
- MAX (Numbers)
- MAX (String)
- MD5
- MEDIAN
- METAPHONE
- MIN (Dates)
- MIN (Numbers)
- MIN (String)
- MOD
- MOVINGAVG
- MOVINGSUM
- NPER
- PARSE_JSON
- PARSE_XML
- PERCENTILE
- PMT
- POWER
- PV
- RAND
- RATE
- REG_EXTRACT
- REG_MATCH
- REG_REPLACE
- REPLACECHR
- REPLACESTR
- RESPEC
- REVERSE
- ROUND (Dates)
- ROUND (Numbers)
- RPAD
- RTRIM
- SET_DATE_PART
- SIGN
- SIN
- SINH
- SIZE
- SOUNDEX
- SQL_LIKE
- SQRT
- STDDEV
- STRUCT
- STRUCT_AS
- SUBSTR
- SUM
- SYSTIMESTAMP
- TAN
- TANH
- TIME_RANGE
- TO_BIGINT
- TO_CHAR (Dates)
- TO_CHAR (Numbers)
- TO_DATE
- TO_DECIMAL
- TO_DECIMAL38
- TO_FLOAT
- TO_INTEGER
- TO_TIMESTAMP_TZ
- TRUNC (Dates)
- TRUNC (Numbers)
- UPPER
- UUID4
- UUID_UNPARSE
- VARIANCE

Transformation Language Reference

10.5
- 10.5.9
- 10.5.8
- 10.5.7
- 10.5.6
- 10.5.4
- 10.5.1

Back Next

REG_REPLACE

Replaces characters in a string with another character pattern. By default, REG_REPLACE searches the input string for the character pattern you specify and replaces all occurrences with the replacement pattern. You can also indicate the number of occurrences of the pattern you want to replace in the string.

Syntax

REG_REPLACE( subject, pattern, replace, numReplacements )

The following table describes the arguments for this command:

Argument	Required/ Optional	Description
subject	Required	String datatype. Passes the string you want to search.
pattern	Required	String datatype. Passes the character string to be replaced. You must use perl compatible regular expression syntax. Enclose the pattern in single quotes. For more information, see REG_EXTRACT.
replace	Required	String datatype. Passes the new character string.
numReplacements	Optional	Numeric datatype. Specifies the number of occurrences you want to replace. If you omit this option, REG_REPLACE will replace all occurrences of the character string.

Return Value

String

Example

The following expression removes additional spaces from the Employee name data for each row of the Employee_name port:

REG_REPLACE( Employee_Name, ‘\s+’, ‘ ’)

Employee_Name	RETURN VALUE
Adam Smith	Adam Smith
Greg Sanders	Greg Sanders
Sarah Fe	Sarah Fe
Sam Cooper	Sam Cooper

Rename Saved Search

Table of Contents

Transformation Language Reference

Transformation Language Reference

REG_REPLACE

REG_REPLACE

Syntax

Return Value

Example