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Excerpt

Generates the sum of rows in each group that meet a specific condition.

Info

NOTE: When added to a transform, this function is applied to the sample in the data grid. If you change your sample or run the job, the computed values for this function are updated. Transforms that change the number of rows in subsequent recipe steps do not affect the values computed for this step.

To perform a simple summing of rows without conditionals, use the SUM function. See SUM Function.

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pivot value: SUMIF(timeoutSecs, errors >= 1) group:serverAddress limit:1

Output: Generates a two-column table containing the unique values for serverAddress and the sum of the timeoutSecs column for that serverAddress value when the errors value is greater than or equal to 1. The limit parameter defines the maximum number of output columns.

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snippetSyntax

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pivot value:SUMIF(col_ref, test_expression) [group:group_col_ref] [limit:limit_count]

ArgumentRequired?Data TypeDescription
col_refYstringReference to the column you wish to evaluate.
test_expressionYstringExpression that is evaluated. Must resolve to true or false

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For more information on the group and limit parameters, see Pivot Transform.

col_ref

Name of the column whose values you wish to use in the calculation. Column must be a numeric (Integer or Decimal) type.

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snippetusage

Required?Data TypeExample Value
YesString that corresponds to the name of the columnmyValues

test_expression

This parameter contains the expression to evaluate. This expression must resolve to a Boolean (true or false) value.

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Required?Data TypeExample Value
YesString expression that evaluates to true or false(LastName == 'Mouse' && FirstName == 'Mickey')


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snippetExamples

Example - Summarize Voter Registrations

Include Page
EXAMPLE - SUMIF and COUNTDISTINCTIF Functions
EXAMPLE - SUMIF and COUNTDISTINCTIF Functions

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labelaggregate