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
- 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

10.4.0
- 10.5.6
- 10.5.4
- 10.5.1
- 10.5

Back Next

MOVINGSUM

Returns the sum (row-by-row) of a specified set of rows.

Optionally, you can apply a condition to filter rows before calculating the moving sum.

Syntax

MOVINGSUM( numeric_value, rowset [, filter_condition] )

The following table describes the arguments for this command:

Argument	Required/ Optional	Description
numeric_value	Required	Numeric datatype. The values for which you want to calculate a moving sum. You can enter any valid transformation expression.
rowset	Required	Must be a positive integer literal greater than 0. Defines the rowset for which you want to calculate the moving sum. For example, if you want to calculate a moving sum for a column of data, five rows at a time, you might write an expression such as: MOVINGSUM( SALES, 5 )
filter_condition	Optional	Limits the rows in the search. The filter condition must be a numeric value or evaluate to TRUE, FALSE, or NULL. You can enter any valid transformation expression.

Return Value

Numeric value.

NULL if all values passed to the function are NULL, or if the function does not select any rows (for example, the filter condition evaluates to FALSE or NULL for all rows).

If the return value is Decimal with precision greater than 15, you can enable high precision to ensure decimal precision up to 38 digits.

Nulls

MOVINGSUM ignores null values when calculating the moving sum. However, if all values are NULL, the function returns NULL.

Example

The following expression returns the sum of orders for a Stabilizing Vest, based on the first five rows in the Sales port, and thereafter, returns the average for the last five rows read:

MOVINGSUM( SALES, 5 )


NULL
NULL
NULL
NULL
1790
1229
1215

ROW_NO	SALES	RETURN VALUE
1	600	NULL
2	504	NULL
3	36	NULL
4	100	NULL
5	550	1790
6	39	1229
7	490	1215

The function returns the sum for a set of five rows: 1790 based on rows 1 through 5, 1229 based on rows 2 through 6, and 1215 based on rows 3 through 7.

Rename Saved Search

Table of Contents

Transformation Language Reference

Transformation Language Reference

MOVINGSUM

MOVINGSUM

Syntax

Return Value

Nulls

Example