Preface
The Transformation Language
Constants
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- Built-in Variables
  - SYSDATE
    - Example
- Local Variables
Dates
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  - Aggregate Functions
  - Aggregate Functions and Nulls
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- ABORT
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- ENC_BASE64
- ERROR
- EXP
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- FIRST
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- LTRIM
- MAKE_DATE_TIME
- MAP
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- MAP_KEYS
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- MAX (Dates)
- MAX (Numbers)
- MAX (String)
- MD5
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- METAPHONE
- MIN (Dates)
- MIN (Numbers)
- MIN (String)
- MOD
- MOVINGAVG
- MOVINGSUM
- NPER
- PARSE_JSON
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- PERCENTILE
- PMT
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- 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

10.5.1
- 10.5.6
- 10.5.4
- 10.5
- 10.4.0

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COMPRESS

Compresses data using the zlib 1.2.1 compression algorithm. Use the COMPRESS function before you send large amounts of data over a wide area network.

Syntax

COMPRESS( value )

The following table describes the argument for this command:

Argument	Required/ Optional	Description
value	Required	String datatype. Data that you want to compress.

Return Value

Compressed binary value of the input value.

NULL if the input is a null value.

Example

Your organization has an online order service. You want to send customer order data over a wide area network. The source contains a row that is 10 MB. You can compress the data in this row using COMPRESS. When you compress the data, you decrease the amount of data the

Data Integration Service

writes over the network. As a result, you may increase performance.

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