EntityResolution / Client / update_matching_workflow

update_matching_workflow#

EntityResolution.Client.update_matching_workflow(**kwargs)#

Updates an existing MatchingWorkflow. This method is identical to CreateMatchingWorkflow, except it uses an HTTP PUT request instead of a POST request, and the MatchingWorkflow must already exist for the method to succeed.

Request Syntax

response = client.update_matching_workflow(
    description='string',
    incrementalRunConfig={
        'incrementalRunType': 'IMMEDIATE'
    },
    inputSourceConfig=[
        {
            'applyNormalization': True|False,
            'inputSourceARN': 'string',
            'schemaName': 'string'
        },
    ],
    outputSourceConfig=[
        {
            'KMSArn': 'string',
            'applyNormalization': True|False,
            'output': [
                {
                    'hashed': True|False,
                    'name': 'string'
                },
            ],
            'outputS3Path': 'string'
        },
    ],
    resolutionTechniques={
        'resolutionType': 'RULE_MATCHING'|'ML_MATCHING',
        'ruleBasedProperties': {
            'attributeMatchingModel': 'ONE_TO_ONE'|'MANY_TO_MANY',
            'rules': [
                {
                    'matchingKeys': [
                        'string',
                    ],
                    'ruleName': 'string'
                },
            ]
        }
    },
    roleArn='string',
    workflowName='string'
)

Parameters:

description (string) – A description of the workflow.
incrementalRunConfig (dict) –
An object which defines an incremental run type and has only incrementalRunType as a field.
- incrementalRunType (string) –
  
  The type of incremental run. It takes only one value: IMMEDIATE.
inputSourceConfig (list) –
[REQUIRED]

A list of InputSource objects, which have the fields InputSourceARN and SchemaName.
- (dict) –
  
  An object containing InputSourceARN, SchemaName, and ApplyNormalization.
  - applyNormalization (boolean) –
    
    Normalizes the attributes defined in the schema in the input data. For example, if an attribute has an AttributeType of PHONE_NUMBER, and the data in the input table is in a format of 1234567890, Entity Resolution will normalize this field in the output to (123)-456-7890.
  - inputSourceARN (string) – [REQUIRED]
    
    An Glue table ARN for the input source table.
  - schemaName (string) – [REQUIRED]
    
    The name of the schema to be retrieved.
outputSourceConfig (list) –
[REQUIRED]

A list of OutputSource objects, each of which contains fields OutputS3Path, ApplyNormalization, and Output.
- (dict) –
  
  A list of OutputAttribute objects, each of which have the fields Name and Hashed. Each of these objects selects a column to be included in the output table, and whether the values of the column should be hashed.
  - KMSArn (string) –
    
    Customer KMS ARN for encryption at rest. If not provided, system will use an Entity Resolution managed KMS key.
  - applyNormalization (boolean) –
    
    Normalizes the attributes defined in the schema in the input data. For example, if an attribute has an AttributeType of PHONE_NUMBER, and the data in the input table is in a format of 1234567890, Entity Resolution will normalize this field in the output to (123)-456-7890.
  - output (list) – [REQUIRED]
    
    A list of OutputAttribute objects, each of which have the fields Name and Hashed. Each of these objects selects a column to be included in the output table, and whether the values of the column should be hashed.
    - (dict) –
      
      A list of OutputAttribute objects, each of which have the fields Name and Hashed. Each of these objects selects a column to be included in the output table, and whether the values of the column should be hashed.
      - hashed (boolean) –
        
        Enables the ability to hash the column values in the output.
      - name (string) – [REQUIRED]
        
        A name of a column to be written to the output. This must be an InputField name in the schema mapping.
  - outputS3Path (string) – [REQUIRED]
    
    The S3 path to which Entity Resolution will write the output table.
resolutionTechniques (dict) –
[REQUIRED]

An object which defines the resolutionType and the ruleBasedProperties
- resolutionType (string) –
  
  There are two types of matching, RULE_MATCHING and ML_MATCHING
- ruleBasedProperties (dict) –
  
  An object which defines the list of matching rules to run and has a field Rules, which is a list of rule objects.
  - attributeMatchingModel (string) – [REQUIRED]
    
    You can either choose ONE_TO_ONE or MANY_TO_MANY as the AttributeMatchingModel. When choosing MANY_TO_MANY, the system can match attribute across the sub-types of an attribute type. For example, if the value of the Email field of Profile A and the value of BusinessEmail field of Profile B matches, the two profiles are matched on the Email type. When choosing ONE_TO_ONE the system can only match if the sub-types are exact matches. For example, only when the value of the Email field of Profile A and the value of the Email field of Profile B matches, the two profiles are matched on the Email type.
  - rules (list) – [REQUIRED]
    
    A list of Rule objects, each of which have fields RuleName and MatchingKeys.
    - (dict) –
      
      An object containing RuleName, and MatchingKeys.
      - matchingKeys (list) – [REQUIRED]
        
        A list of MatchingKeys. The MatchingKeys must have been defined in the SchemaMapping. Two records are considered to match according to this rule if all of the MatchingKeys match.
        
        (string) –
      - ruleName (string) – [REQUIRED]
        
        A name for the matching rule.
roleArn (string) –
[REQUIRED]

The Amazon Resource Name (ARN) of the IAM role. AWS Entity Resolution assumes this role to create resources on your behalf as part of workflow execution.
workflowName (string) –
[REQUIRED]

The name of the workflow to be retrieved.

Return type:

dict

Returns:

Response Syntax

{
    'description': 'string',
    'incrementalRunConfig': {
        'incrementalRunType': 'IMMEDIATE'
    },
    'inputSourceConfig': [
        {
            'applyNormalization': True|False,
            'inputSourceARN': 'string',
            'schemaName': 'string'
        },
    ],
    'outputSourceConfig': [
        {
            'KMSArn': 'string',
            'applyNormalization': True|False,
            'output': [
                {
                    'hashed': True|False,
                    'name': 'string'
                },
            ],
            'outputS3Path': 'string'
        },
    ],
    'resolutionTechniques': {
        'resolutionType': 'RULE_MATCHING'|'ML_MATCHING',
        'ruleBasedProperties': {
            'attributeMatchingModel': 'ONE_TO_ONE'|'MANY_TO_MANY',
            'rules': [
                {
                    'matchingKeys': [
                        'string',
                    ],
                    'ruleName': 'string'
                },
            ]
        }
    },
    'roleArn': 'string',
    'workflowName': 'string'
}

Response Structure

(dict) –
- description (string) –
  
  A description of the workflow.
- incrementalRunConfig (dict) –
  
  An object which defines an incremental run type and has only incrementalRunType as a field.
  - incrementalRunType (string) –
    
    The type of incremental run. It takes only one value: IMMEDIATE.
- inputSourceConfig (list) –
  
  A list of InputSource objects, which have the fields InputSourceARN and SchemaName.
  - (dict) –
    
    An object containing InputSourceARN, SchemaName, and ApplyNormalization.
    - applyNormalization (boolean) –
      
      Normalizes the attributes defined in the schema in the input data. For example, if an attribute has an AttributeType of PHONE_NUMBER, and the data in the input table is in a format of 1234567890, Entity Resolution will normalize this field in the output to (123)-456-7890.
    - inputSourceARN (string) –
      
      An Glue table ARN for the input source table.
    - schemaName (string) –
      
      The name of the schema to be retrieved.
- outputSourceConfig (list) –
  
  A list of OutputSource objects, each of which contains fields OutputS3Path, ApplyNormalization, and Output.
  - (dict) –
    
    A list of OutputAttribute objects, each of which have the fields Name and Hashed. Each of these objects selects a column to be included in the output table, and whether the values of the column should be hashed.
    - KMSArn (string) –
      
      Customer KMS ARN for encryption at rest. If not provided, system will use an Entity Resolution managed KMS key.
    - applyNormalization (boolean) –
      
      Normalizes the attributes defined in the schema in the input data. For example, if an attribute has an AttributeType of PHONE_NUMBER, and the data in the input table is in a format of 1234567890, Entity Resolution will normalize this field in the output to (123)-456-7890.
    - output (list) –
      
      A list of OutputAttribute objects, each of which have the fields Name and Hashed. Each of these objects selects a column to be included in the output table, and whether the values of the column should be hashed.
      - (dict) –
        
        A list of OutputAttribute objects, each of which have the fields Name and Hashed. Each of these objects selects a column to be included in the output table, and whether the values of the column should be hashed.
        
        hashed (boolean) –
        
        Enables the ability to hash the column values in the output.
        
        name (string) –
        
        A name of a column to be written to the output. This must be an InputField name in the schema mapping.
    - outputS3Path (string) –
      
      The S3 path to which Entity Resolution will write the output table.
- resolutionTechniques (dict) –
  
  An object which defines the resolutionType and the ruleBasedProperties
  - resolutionType (string) –
    
    There are two types of matching, RULE_MATCHING and ML_MATCHING
  - ruleBasedProperties (dict) –
    
    An object which defines the list of matching rules to run and has a field Rules, which is a list of rule objects.
    - attributeMatchingModel (string) –
      
      You can either choose ONE_TO_ONE or MANY_TO_MANY as the AttributeMatchingModel. When choosing MANY_TO_MANY, the system can match attribute across the sub-types of an attribute type. For example, if the value of the Email field of Profile A and the value of BusinessEmail field of Profile B matches, the two profiles are matched on the Email type. When choosing ONE_TO_ONE the system can only match if the sub-types are exact matches. For example, only when the value of the Email field of Profile A and the value of the Email field of Profile B matches, the two profiles are matched on the Email type.
    - rules (list) –
      
      A list of Rule objects, each of which have fields RuleName and MatchingKeys.
      - (dict) –
        
        An object containing RuleName, and MatchingKeys.
        
        matchingKeys (list) –
        
        A list of MatchingKeys. The MatchingKeys must have been defined in the SchemaMapping. Two records are considered to match according to this rule if all of the MatchingKeys match.
        
        (string) –
        
        ruleName (string) –
        
        A name for the matching rule.
- roleArn (string) –
  
  The Amazon Resource Name (ARN) of the IAM role. AWS Entity Resolution assumes this role to create resources on your behalf as part of workflow execution.
- workflowName (string) –
  
  The name of the workflow.

Exceptions

EntityResolution.Client.exceptions.ThrottlingException
EntityResolution.Client.exceptions.InternalServerException
EntityResolution.Client.exceptions.ResourceNotFoundException
EntityResolution.Client.exceptions.AccessDeniedException
EntityResolution.Client.exceptions.ValidationException