Expression Language

Several Function nodes evaluate small expressions to compute values: the Formula node, the Filter condition, the aggregates in Group By, and the field bindings in Map. They all share one expression language — sometimes called the fx language — so once you learn it in one place it works everywhere.

The language is strict-SQL style, not JavaScript. If you have written spreadsheet formulas or SQL WHERE/SELECT expressions, it will feel familiar: = compares, & joins text, AND/OR/NOT combine conditions, and NULL flows through arithmetic.

Referencing fields

Reference a field from the incoming data by its name:

Quantity
UnitPrice

If a field name contains spaces, punctuation, or matches a reserved word (AND, OR, NOT, NULL, TRUE, FALSE, IS), wrap it in square brackets:

[Order Total]
[Unit Price (USD)]
[Null]

Literals

Kind	Examples
Text	"Active", "Seattle, WA"
Number	100, 3.14159, -50
Boolean	TRUE, FALSE
Null	NULL

Text literals use double quotes.

Operators

Arithmetic

Operator	Meaning	Example
+	Add	Price + Tax
-	Subtract	Revenue - Cost
*	Multiply	Quantity * UnitPrice
/	Divide	Total / Count
%	Modulo (remainder)	RowNumber % 2

Text

Operator	Meaning	Example
&	Concatenate	FirstName & " " & LastName

& joins values of any type — numbers, booleans, dates, and objects are converted to text automatically. If any operand is NULL, the result is NULL.

Coming from another tool? Use & to join text, not +. Using + between text values is an error.

Comparison

Operator	Meaning	Example
=	Equal to	Status = "Active"
!=	Not equal to	Type != "Test"
>	Greater than	Amount > 100
>=	Greater than or equal	Score >= 80
<	Less than	Age < 18
<=	Less than or equal	Count <= 10

Equality is a single =, not ==.

Logical

Operator	Meaning	Example
AND	Both sides true	Active AND Verified
OR	Either side true	Admin OR Manager
NOT	Negate	NOT Deleted

Null checks

Operator	Meaning	Example
IS NULL	Operand is null	CompletedDate IS NULL
IS NOT NULL	Operand is not null	CompletedDate IS NOT NULL

Use these to test for null — = NULL does not work in SQL-style semantics.

How NULL behaves

The language follows SQL's null rules, which differ from most programming languages:

• Null propagates through arithmetic and text. Price * Quantity is NULL if either operand is NULL; FirstName & LastName is NULL if either name is NULL.
• Most functions return NULL when a required argument is NULL — UPPER(NULL) is NULL.
• Use IS NULL / IS NOT NULL to test, and COALESCE or IFNULL to substitute a default.

COALESCE(PreferredName, FirstName, "Unknown")

Types are strict

Arguments are checked against their expected type — there is no implicit coercion. ROUND("2.5", 1) is an error because ROUND expects a number. Convert explicitly first:

ROUND(TO_NUMBER(PriceText), 2)

Functions

Function names are case-insensitive. The built-in functions are:

Conditional

IF(cond, then, else)

Returns then when cond is TRUE, otherwise else. Short-circuits — only the chosen branch is evaluated, so IF(x != 0, y / x, 0) is safe when x is zero. A NULL condition is treated as false.

IF(100 > 50, "big", "small")
IF(Amount > 1000, "High", "Standard")

To handle several cases, nest IF:

IF(Score >= 90, "A",
  IF(Score >= 80, "B",
    IF(Score >= 70, "C", "F")))

COALESCE(value1, value2, ...)

Returns the first argument that is not NULL. Stops evaluating once a non-null value is found.

COALESCE(MobilePhone, WorkPhone, HomePhone)

IFNULL(value, fallback)

Returns value if it is not NULL, otherwise fallback.

IFNULL(Notes, "")

Text

Function	Returns	Description	Example
UPPER(text)	text	Uppercase	UPPER("hello") → "HELLO"
LOWER(text)	text	Lowercase	LOWER("HELLO") → "hello"
TRIM(text)	text	Remove leading/trailing whitespace	TRIM(" hi ") → "hi"
SPLIT(text, delim, index)	text	Split text by delim, return the 0-based segment at index (NULL if out of range)	SPLIT("a,b,c", ",", 1) → "b"
CONTAINS(text, sub)	boolean	True if text contains sub	CONTAINS("hello world", "world") → TRUE
STARTS_WITH(text, prefix)	boolean	True if text starts with prefix	STARTS_WITH("factorythread", "factory") → TRUE
ENDS_WITH(text, suffix)	boolean	True if text ends with suffix	ENDS_WITH("report.csv", ".csv") → TRUE

Numeric

Function	Returns	Description	Example
ROUND(x, decimals?)	number	Round to decimals digits (default 0)	ROUND(2.345, 2) → 2.35
FLOOR(x)	number	Round down to the nearest integer	FLOOR(2.9) → 2
CEIL(x)	number	Round up to the nearest integer	CEIL(2.1) → 3

Date

Function	Returns	Description	Example
DATEADD(date, amount, unit)	date	Add amount of unit to a date	DATEADD(OrderDate, 7, "days")
DATEDIFF(end, start, unit)	number	Difference between two dates in unit	DATEDIFF(DueDate, CURRENT_DATE(), "days")
FORMAT_DATE(date, format)	text	Format a date with a dayjs format string	FORMAT_DATE(OrderDate, "YYYY-MM-DD")

unit is one of days, months, years, hours, minutes, seconds.

There is no NOW() or TODAY() function — use CURRENT_DATE() for the current date and time.

Type conversion

Function	Returns	Description	Example
TO_NUMBER(value, fallback?)	number	Parse a number; returns fallback (or NULL) on failure	TO_NUMBER("42") → 42
TO_STRING(value)	text	Convert to text (dates use ISO format, objects/arrays use JSON)	TO_STRING(42) → "42"
TO_DATE(value, format?)	date	Parse a value as a date (optional dayjs format hint)	TO_DATE("2025-03-15")
TO_BOOLEAN(value)	boolean	Convert to boolean — accepts true/false, 1/0, "true"/"false"/"1"/"0"	TO_BOOLEAN("true") → TRUE

System

Function	Returns	Description
CURRENT_DATE()	date	The current date and time
UUID()	text	A new unique identifier (UUID)

Errors and strict mode

By default, if an expression fails on a particular row (for example a type error or a division that produces an invalid value), that row's result for the affected field is left empty and the flow continues. Nodes that evaluate expressions — Formula and Filter — expose a strict mode toggle; when enabled, the first row error stops the run instead, which is useful while you are debugging a flow.

Next steps

• Formula — add or change columns with expressions
• Filter — keep rows that match a condition
• Group By — aggregate rows into per-group totals
• Map — reshape rows into a different structure