Only apply the transformation if the condition evaluates to true for the
given RecordCondition. The conditions are allowed to reference fields
that are not used in the actual transformation.
Example Use Cases:
Apply a different bucket transformation to an age column if the zip code
column for the same record is within a specific range.
Redact a field if the date of birth field is greater than 85.
Only apply the transformation if the condition evaluates to true for the
given RecordCondition. The conditions are allowed to reference fields
that are not used in the actual transformation.
Example Use Cases:
Apply a different bucket transformation to an age column if the zip code
column for the same record is within a specific range.
Redact a field if the date of birth field is greater than 85.
Required. Input field(s) to apply the transformation to.
When you have columns that reference their position within a list,
omit the index from the FieldId. FieldId name matching ignores the index.
For example, instead of "contact.nums[0].type", use "contact.nums.type".
Required. Input field(s) to apply the transformation to.
When you have columns that reference their position within a list,
omit the index from the FieldId. FieldId name matching ignores the index.
For example, instead of "contact.nums[0].type", use "contact.nums.type".
Required. Input field(s) to apply the transformation to.
When you have columns that reference their position within a list,
omit the index from the FieldId. FieldId name matching ignores the index.
For example, instead of "contact.nums[0].type", use "contact.nums.type".
Required. Input field(s) to apply the transformation to.
When you have columns that reference their position within a list,
omit the index from the FieldId. FieldId name matching ignores the index.
For example, instead of "contact.nums[0].type", use "contact.nums.type".
Required. Input field(s) to apply the transformation to.
When you have columns that reference their position within a list,
omit the index from the FieldId. FieldId name matching ignores the index.
For example, instead of "contact.nums[0].type", use "contact.nums.type".
Only apply the transformation if the condition evaluates to true for the
given RecordCondition. The conditions are allowed to reference fields
that are not used in the actual transformation.
Example Use Cases:
Apply a different bucket transformation to an age column if the zip code
column for the same record is within a specific range.
Redact a field if the date of birth field is greater than 85.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-27 UTC."],[],[]]
