Glue / Client / batch_get_data_quality_result
batch_get_data_quality_result#
- Glue.Client.batch_get_data_quality_result(**kwargs)#
Retrieves a list of data quality results for the specified result IDs.
See also: AWS API Documentation
Request Syntax
response = client.batch_get_data_quality_result( ResultIds=[ 'string', ] )
- Parameters:
ResultIds (list) –
[REQUIRED]
A list of unique result IDs for the data quality results.
(string) –
- Return type:
dict
- Returns:
Response Syntax
{ 'Results': [ { 'ResultId': 'string', 'Score': 123.0, 'DataSource': { 'GlueTable': { 'DatabaseName': 'string', 'TableName': 'string', 'CatalogId': 'string', 'ConnectionName': 'string', 'AdditionalOptions': { 'string': 'string' } } }, 'RulesetName': 'string', 'EvaluationContext': 'string', 'StartedOn': datetime(2015, 1, 1), 'CompletedOn': datetime(2015, 1, 1), 'JobName': 'string', 'JobRunId': 'string', 'RulesetEvaluationRunId': 'string', 'RuleResults': [ { 'Name': 'string', 'Description': 'string', 'EvaluationMessage': 'string', 'Result': 'PASS'|'FAIL'|'ERROR', 'EvaluatedMetrics': { 'string': 123.0 } }, ] }, ], 'ResultsNotFound': [ 'string', ] }
Response Structure
(dict) –
Results (list) –
A list of
DataQualityResult
objects representing the data quality results.(dict) –
Describes a data quality result.
ResultId (string) –
A unique result ID for the data quality result.
Score (float) –
An aggregate data quality score. Represents the ratio of rules that passed to the total number of rules.
DataSource (dict) –
The table associated with the data quality result, if any.
GlueTable (dict) –
An Glue table.
DatabaseName (string) –
A database name in the Glue Data Catalog.
TableName (string) –
A table name in the Glue Data Catalog.
CatalogId (string) –
A unique identifier for the Glue Data Catalog.
ConnectionName (string) –
The name of the connection to the Glue Data Catalog.
AdditionalOptions (dict) –
Additional options for the table. Currently there are two keys supported:
pushDownPredicate
: to filter on partitions without having to list and read all the files in your dataset.catalogPartitionPredicate
: to use server-side partition pruning using partition indexes in the Glue Data Catalog.
(string) –
(string) –
RulesetName (string) –
The name of the ruleset associated with the data quality result.
EvaluationContext (string) –
In the context of a job in Glue Studio, each node in the canvas is typically assigned some sort of name and data quality nodes will have names. In the case of multiple nodes, the
evaluationContext
can differentiate the nodes.StartedOn (datetime) –
The date and time when this data quality run started.
CompletedOn (datetime) –
The date and time when this data quality run completed.
JobName (string) –
The job name associated with the data quality result, if any.
JobRunId (string) –
The job run ID associated with the data quality result, if any.
RulesetEvaluationRunId (string) –
The unique run ID for the ruleset evaluation for this data quality result.
RuleResults (list) –
A list of
DataQualityRuleResult
objects representing the results for each rule.(dict) –
Describes the result of the evaluation of a data quality rule.
Name (string) –
The name of the data quality rule.
Description (string) –
A description of the data quality rule.
EvaluationMessage (string) –
An evaluation message.
Result (string) –
A pass or fail status for the rule.
EvaluatedMetrics (dict) –
A map of metrics associated with the evaluation of the rule.
(string) –
(float) –
ResultsNotFound (list) –
A list of result IDs for which results were not found.
(string) –
Exceptions
Glue.Client.exceptions.InvalidInputException
Glue.Client.exceptions.OperationTimeoutException
Glue.Client.exceptions.InternalServiceException