DataWorks:UpdateQualityRule

The strength of the monitoring rule. The strength of a monitoring rule indicates the importance of the rule. Valid values:

• 1: The monitoring rule is a strong rule.
• 0: The monitoring rule is a weak rule. You can specify the strength of a monitoring rule based on your business requirements. If a monitoring rule is a strong rule and the critical threshold is exceeded, a critical alert is reported and tasks that are associated with the rule are blocked from running.

The ID of the partition filter expression. You can call the ListQualityRules operation to obtain the ID of the partition filter expression.

The description of the monitoring rule.

The checker ID. Valid values: 2: indicates that the current value is compared with the average value of the previous 7 days. 3: indicates that the current value is compared with the average value of the previous 30 days. 4: indicates that the current value is compared with the value 1 day earlier. 5: indicates that the current value is compared with the value 7 days earlier. 6: indicates that the current value is compared with the value 30 days earlier. 7: indicates the variance between the current value and the value 7 days earlier. 8: indicates the variance between the current value and the value 30 days earlier. 9: indicates that the current value is compared with a fixed value. 10: indicates that the current value is compared with the value 1, 7, or 30 days earlier. 11: indicates that the current value is compared with the value of the previous cycle. You can call the ListQualityRules operation to query the ID.

The expected value of the monitoring rule.

The monitoring rule ID. You can call the ListQualityRules operation to query the ID of the monitoring rule.

The trend of the monitoring result. Valid values:

• up: increasing
• down: decreasing
• abs: absolute value

The method that is used to collect sample data, such as avg, count, sum, min, max, count_distinct, user_defined, table_count, table_size, table_dt_load_count, table_dt_refuseload_count, null_value, null_value/table_count, (table_count-count_distinct)/table_count, or table_count-count_distinct.

The comparison operator, such as >, >=, =, ≠, <, or <=.

The name of the compute engine or data source. You can log on to the DataWorks console and go to the Workspace page to obtain the name of the compute engine or data source.

The name of the field.

The data type of the field.

The type of the monitoring rule. Valid values:

• 0: The monitoring rule is created by the system.
• 1: The monitoring rule is created by a user.
• 2: The monitoring rule is a workspace-level rule.

The filter condition or custom SQL statement that is used for monitoring.

The threshold for a critical alert. The threshold indicates the deviation of the monitoring result from the expected value. You can specify a custom value for the threshold based on your business requirements. If a monitoring rule is a strong rule and the critical threshold is exceeded, a critical alert is reported and tasks that are associated with the rule are blocked from running.

The threshold for a warning alert. The threshold specifies the deviation of the monitoring result from the expected value. You can specify a custom value for the threshold based on your business requirements.

The ID of the monitoring template. You can call the ListQualityRules operation to obtain the ID of the monitoring template.

The name of the monitoring rule.

Specifies whether the threshold is a dynamic threshold. Valid values:

• 0: The threshold is not a dynamic threshold.
• 2: The threshold is a dynamic threshold.

Specifies whether to enable the monitoring rule in the production environment. Valid values:

• true: The monitoring rule is triggered when the associated auto triggered node that generates the output data starts to run.
• false: The monitoring rule is not triggered when the associated auto triggered node that generates the output data starts to run.

The DataWorks workspace ID.

The variable settings inserted before the custom rule. Format: x=a,y=b.