akshayrai commented on a change in pull request #5515:
URL: https://github.com/apache/incubator-pinot/pull/5515#discussion_r436891442
##########
File path: thirdeye/thirdeye-frontend/app/utils/yaml-tools.js
##########
@@ -11,24 +11,29 @@ dataset: dataset_to_which_this_metric_belongs
# Configure multiple rules with "OR" relationship.
rules:
- detection:
- - name: detection_rule_1
- type: ALGORITHM # Configure the detection type here. See doc
for more details.
- params: # The parameters for this rule. Different
rules have different params.
- configuration:
- bucketPeriod: P1D # Use P1D for daily; PT1H for hourly; PT5M
for minutely data.
- pValueThreshold: 0.05 # Higher value means more sensitive to small
changes.
- mlConfig: true # Automatically maintain configuration with
the best performance.
- filter: # Filter out anomalies detected by rules to
reduce noise.
- - name: filter_rule_1
- type: PERCENTAGE_CHANGE_FILTER
- params:
- pattern: UP_OR_DOWN # Other patterns: "UP","DOWN".
- threshold: 0.05 # Filter out all changes less than 5%
compared to baseline.
+ - name: detection_rule_1
+ type: ALGORITHM # Configure the detection type here. See doc
for more details.
+ params: # The parameters for this rule. Different
rules have different params.
+ configuration:
+ bucketPeriod: P1D # Use P1D for daily; PT1H for hourly; PT5M for
minutely data.
+ pValueThreshold: 0.05 # Higher value means more sensitive to small
changes.
+ mlConfig: true # Automatically maintain configuration with
the best performance.
+ filter: # Filter out anomalies detected by rules to
reduce noise.
+ - name: filter_rule_1
+ type: PERCENTAGE_CHANGE_FILTER
+ params:
+ pattern: UP_OR_DOWN # Other patterns: "UP","DOWN".
+ threshold: 0.05 # Filter out all changes less than 5% compared
to baseline.
+ quality: # Configure the data quality rules
+ - name: data_sla_rule_1
+ type: DATA_SLA # Alert if data is delayed
Review comment:
updated
##########
File path: thirdeye/thirdeye-frontend/app/utils/yaml-tools.js
##########
@@ -11,24 +11,29 @@ dataset: dataset_to_which_this_metric_belongs
# Configure multiple rules with "OR" relationship.
rules:
- detection:
- - name: detection_rule_1
- type: ALGORITHM # Configure the detection type here. See doc
for more details.
- params: # The parameters for this rule. Different
rules have different params.
- configuration:
- bucketPeriod: P1D # Use P1D for daily; PT1H for hourly; PT5M
for minutely data.
- pValueThreshold: 0.05 # Higher value means more sensitive to small
changes.
- mlConfig: true # Automatically maintain configuration with
the best performance.
- filter: # Filter out anomalies detected by rules to
reduce noise.
- - name: filter_rule_1
- type: PERCENTAGE_CHANGE_FILTER
- params:
- pattern: UP_OR_DOWN # Other patterns: "UP","DOWN".
- threshold: 0.05 # Filter out all changes less than 5%
compared to baseline.
+ - name: detection_rule_1
+ type: ALGORITHM # Configure the detection type here. See doc
for more details.
+ params: # The parameters for this rule. Different
rules have different params.
+ configuration:
+ bucketPeriod: P1D # Use P1D for daily; PT1H for hourly; PT5M for
minutely data.
+ pValueThreshold: 0.05 # Higher value means more sensitive to small
changes.
+ mlConfig: true # Automatically maintain configuration with
the best performance.
+ filter: # Filter out anomalies detected by rules to
reduce noise.
+ - name: filter_rule_1
+ type: PERCENTAGE_CHANGE_FILTER
+ params:
+ pattern: UP_OR_DOWN # Other patterns: "UP","DOWN".
+ threshold: 0.05 # Filter out all changes less than 5% compared
to baseline.
+ quality: # Configure the data quality rules
+ - name: data_sla_rule_1
+ type: DATA_SLA # Alert if data is delayed
+ params:
+ sla: 3_DAYS # Data delayed by 3 days since last
availability
Review comment:
updated
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