EvaluateDataQualityMultiFrame
Specifies your data quality evaluation criteria.
Contents
- Inputs
-
The inputs of your data quality evaluation. The first input in this list is the primary data source.
Type: Array of strings
Array Members: Minimum number of 1 item.
Pattern:
[A-Za-z0-9_-]*Required: Yes
- Name
-
The name of the data quality evaluation.
Type: String
Pattern:
([\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF]|[^\r\n])*Required: Yes
- Ruleset
-
The ruleset for your data quality evaluation.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 65536.
Pattern:
([\u0020-\u007E\r\s\n])*Required: Yes
- AdditionalDataSources
-
The aliases of all data sources except primary.
Type: String to string map
Key Pattern:
([\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF]|[^\r\n])*Value Pattern:
([\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF]|[^\S\r\n"'])*Required: No
- AdditionalOptions
-
Options to configure runtime behavior of the transform.
Type: String to string map
Valid Keys:
performanceTuning.caching | observations.scopeRequired: No
- PublishingOptions
-
Options to configure how your results are published.
Type: DQResultsPublishingOptions object
Required: No
- StopJobOnFailureOptions
-
Options to configure how your job will stop if your data quality evaluation fails.
Type: DQStopJobOnFailureOptions object
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
