Refer Java's SimpleDateFormat class for available formats. The local timezone is used as the default. You can pass an optional timezone in the form of 'GMT', 'PST', 'UTC', 'America/Cayman'. Gets the current date when this job starts to run. It can be used to calculate a fingerprint for a row. The first parameter is the separator.Д¬alculates a hyperbolic cosine of a value.Д¬alculates the CRC32 hash of set of column of varying primitive datatypes given a bit length which can only be of values 0(256), 224, 256, 384, 512. Same as the + operator with strings.Д¬oncatenates a variable number of strings together with a separator. Returns negative integer if value1 value2.Д¬oncatenates a variable number of strings together. You can pass an optional stream name as the second argument.Д¬ompares two values of the same type. Gets the values of all output columns for a stream. You can pass an optional stream name as the second argument. Gets the names of all output columns for a stream. Returns the first not null value from a set of inputs. Returns the smallest integer not smaller than the number. If the number of inputs are even, the other is defaulted to NULL for last condition. It can be used to calculate a fingerprint for a rowД«ased on alternating conditions applies one value or the other. Same as | operatorД¬alculates the Blake2 digest of set of column of varying primitive datatypes given a bit length which can only be multiples of 8 between 8 & 512. Same as & operatorД«itwise Or operator across integral types. Numeric, string and datetime values can be comparedД«itwise And operator across integral types. Returns the angle in radians between the positive x-axis of a plane and the point given by the coordinates.Д¬hecks if the first value is in between two other values inclusively. Same as the + operator for date.ДЄdd months to a date or timestamp. Same as the + operator.ДЄdd days to a date or timestamp. Appends one array of similar type to another. Expression functionДЄdds a pair of strings or numbers. In Data Factory and Synapse pipelines, use the expression language of the mapping data flow feature to configure data transformations. This article provides details about expressions and functions supported by Azure Data Factory and Azure Synapse Analytics in mapping data flows. If you are new to transformations, please refer to the introductory article Transform data using a mapping data flow. This article applies to mapping data flows. Data flows are available both in Azure Data Factory and Azure Synapse Pipelines.

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