Skip to main content
The Assert View transformation component lets you verify that your dataset meets certain conditions. The component can evaluate the dataset’s metadata, values, and row count, using comparison operators such as “Equal to”, “Less than or equal to”, “Greater than or equal to”, and “Range”. If the assert tests aren’t passed, the component will fail to validate and so the pipeline will not run. The input to the component is a dataset produced by some other component, for example Fixed Flow or Table Input, or the output of some other transformation such as a Calculator component. The output of the component is a dataset identical to the input, allowing downstream processing to continue if all assertion tests pass. The Assert View component operates similarly to the Assert Table orchestration component, except that it will operate on any dataset being passed to it by the pipeline, not a target table in your cloud data warehouse.

​
Use case

  • Checking the logic of your transformations.
  • Preventing bad data from being loaded.
  • Enforcing data quality rules and business logic.

​
Properties

​
Name
string
required
A human-readable name for the component.
​
Metadata
column editor
required
  • Name: The name of the column.
  • Type: Select the data type.
    • Varchar: This type is suitable for numbers and letters. A varchar or Variable Character Field is a set of character data of indeterminate length.
    • Number: This type is suitable for numeric types, without or with decimals.
    • Float: This type of values are approximate numeric values with fractional components.
    • Boolean: This type is suitable for data that is either “true” or “false”.
    • Date: This type is suitable for dates without times.
    • Time: This type is suitable for time, independent of a specific date and timezone.
    • Timestamp: This type is a timestamp left unformatted (exists as Unix/Epoch Time).
    • Variant: Variant is a tagged universal type that can hold up to 16 MB of any data type supported by Snowflake.
  • Size: For Text types, this is the maximum length. This is a limit on the number of bytes, not characters. For Numeric types, this is the total number of digits allowed, whether before or after the decimal point.
  • Scale: Relevant only for numeric data, it is the maximum number of digits that may appear to the right of the decimal point.
You can specify table metadata using text mode.
​
Values
data type dependent
required
Input the values for each column. Separate values in the same column with a comma.You can specify table values using text mode.
​
Ignore metadata order
boolean
required
When set to Yes, ignores the metadata order. Default is No.
​
Row count comparison type
drop-down
required
Select how row count values are compared. Possible comparison operators are: “Equal to”, “Greater than or equal to”, “Less than or equal to”, and “Range”.Selecting “Range” makes the Upper value and Lower value properties available.
​
Lower value
integer
required
Set the lower value. This property is only available when Row count comparison type is set to Range or Greater than or equal to.
​
Upper value
integer
required
Set the upper value. This property is only available when Row count comparison type is set to Range or Less than or equal to.
​
Row count value
integer
required
Specify the number of rows.

​
Date, datetime, time, and timestamp validation

accepts a variety of date, time, datetime, and timestamp values. Some of the most common values accepted are listed below.
  • The list of examples below is not exhaustive, but covers many of the most commonly accepted formats.
  • In applicable examples below, the number 13 is used as the value for day, to avoid confusion with month values.
  • The backslash character can be replaced by a dash, underscore, full stop, or colon.
  • Dates cannot contain time values.
  • Times cannot contain date values.
  • The datetime/timestamp values listed below can be just the date, but not just the time.
  • The datetime/timestamp values accepted combine certain date patterns with all of the time patterns, split by either a whitespace character or a T character.
  • There are a number of exceptions that are accepted, such as BC dates, negative dates, and also month values greater than 12. None of these are listed below, and we advise caution when using these values.
The following date values are accepted:
  • 13/01/2021
  • 01/13/2021
  • 2021/1/13
  • 13/JAN/2021
  • 2021
  • JAN 13 2021
  • 13 January, 2021
  • January 13, 2021
The following time values are accepted:
  • 23:12
  • 23:12:59
  • 23:12:59.123456 (milli/micro/nano are all supported)
The following time values (with offset) are accepted:
  • 23:12 +01:00
  • 23:12:59 +01:00
  • 23:12:59.123456 +01:00 (milli/micro/nano are all supported)
The following datetime and timestamp values are accepted:
  • 13-01-2021 23:12:59.123456 +01:00
  • 2021-01-13 23:12:59.123456 +01:00