interface RuleConditionProperty

Language	Type name
.NET	`Amazon.CDK.AWS.EntityResolution.CfnMatchingWorkflow.RuleConditionProperty`
Go	`github.com/aws/aws-cdk-go/awscdk/v2/awsentityresolution#CfnMatchingWorkflow_RuleConditionProperty`
Java	`software.amazon.awscdk.services.entityresolution.CfnMatchingWorkflow.RuleConditionProperty`
Python	`aws_cdk.aws_entityresolution.CfnMatchingWorkflow.RuleConditionProperty`
TypeScript	`aws-cdk-lib` » `aws_entityresolution` » `CfnMatchingWorkflow` » `RuleConditionProperty`

An object that defines the ruleCondition and the ruleName to use in a matching workflow.

Example

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_entityresolution as entityresolution } from 'aws-cdk-lib';
const ruleConditionProperty: entityresolution.CfnMatchingWorkflow.RuleConditionProperty = {
  condition: 'condition',
  ruleName: 'ruleName',
};

Properties

Name	Type	Description
condition?	`string`	A statement that specifies the conditions for a matching rule.
ruleName?	`string`	A name for the matching rule.

condition?

Type: string (optional)

A statement that specifies the conditions for a matching rule.

If your data is accurate, use an Exact matching function: Exact or ExactManyToMany .

If your data has variations in spelling or pronunciation, use a Fuzzy matching function: Cosine , Levenshtein , or Soundex .

Use operators if you want to combine ( AND ), separate ( OR ), or group matching functions (...) .

For example: (Cosine(a, 10) AND Exact(b, true)) OR ExactManyToMany(c, d)

ruleName?

Type: string (optional)

A name for the matching rule.

For example: Rule1