Use ModifyHybridMonitorTask to change a metric import task for Log Service logs - Cloud Monitor - Alibaba Cloud - Cloud Monitor

Modifies a metric for the logs that are imported from Log Service.

Operation description

This topic provides an example on how to change the collection period of a metric import task whose ID is 36**** to 15 seconds. The task is used to monitor the logs that are imported from Log Service. The returned result indicates that the metric is modified.

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RAM authorization

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Request parameters

Parameter	Type	Required	Description	Example
TaskId	string	Yes	The ID of the metric import task. For information about how to obtain the ID of a metric import task, see DescribeHybridMonitorTaskList.	36****
TaskName	string	No	The name of the metric import task. For information about how to obtain the ID of a metric import task, see DescribeHybridMonitorTaskList.	SLS_task
Description	string	No	The description of the metric import task.	SLSLog monitoring data.
CollectInterval	string	No	The collection period of the metric. Valid values: 15 60 Unit: seconds.	15
AttachLabels	array<object>	No	The tags of the metric.
	object	No	None
Value	string	No	The tag value of the metric.	testValue
Name	string	No	The tag key of the metric.	app_service
SLSProcessConfig	object	No	The configurations of the logs that are imported from Simple Log Service.
Filter	object	No	The conditions that are used to filter logs imported from Simple Log Service.
Relation	string	No	The relationship between multiple filter conditions. Valid values: and (default): Logs are processed only if all filter conditions are met. or: Logs are processed if one of the filter conditions is met.	and
Filters	array<object>	No	None.
	object	No	None.
SLSKeyName	string	No	The name of the key that is used to filter logs imported from Simple Log Service.	code
Operator	string	No	The method that is used to filter logs imported from Simple Log Service. Valid values: `contain`: contains `notContain`: does not contain `>`: greater than `<`: less than `=`: equal to `! =`: not equal to `>=`: greater than or equal to `<=`: less than or equal to	=
Value	string	No	The value of the key that is used to filter logs imported from Simple Log Service.	200
Statistics	array<object>	No	None.
	object	No	None.
SLSKeyName	string	No	The name of the key that is used to aggregate logs imported from Simple Log Service.	name
Function	string	No	The function that is used to aggregate the log data of a statistical period. Valid values: count: counts the number. sum: calculates the total value. avg: calculates the average value. max: calculates the maximum value. min: calculates the minimum value. value: collects samples within the statistical period. countps: calculates the number of values of the specified field divided by the total number of seconds within the statistical period. sumps: calculates the sum of the values of the specified field divided by the total number of seconds within the statistical period. distinct: calculates the number of unique values of the specified field within the statistical period. distribution: calculates the number of logs that meet a specified condition within the statistical period. percentile: sorts the values of the specified field in ascending order, and then returns the value that is at the specified percentile within the statistical period. Example: P50.	count
Alias	string	No	The alias of the aggregation result.	level_count
Parameter1	string	No	The value of the function that is used to aggregate logs imported from Simple Log Service. If the `Function` parameter is set to `distribution`, this parameter specifies the lower limit of the statistical interval. For example, if you want to calculate the number of HTTP requests whose status code is 2XX, set this parameter to 200. If the `Function` parameter is set to `percentile`, this parameter specifies the percentile at which the expected value is. For example, 0.5 specifies P50.	200
Parameter2	string	No	The value of the function that is used to aggregate logs imported from Simple Log Service. Note This parameter is required only if the `Function` parameter is set to `distribution`. This parameter specifies the upper limit of the statistical interval. For example, if you want to calculate the number of HTTP requests whose status code is 2XX, set this parameter to 299.	299
GroupBy	array<object>	No	The dimension based on which data is aggregated. This parameter is equivalent to the GROUP BY clause in SQL.
	object	No	None.
SLSKeyName	string	No	The name of the key that is used to aggregate logs imported from Simple Log Service.	code
Alias	string	No	The alias of the aggregation result.	ApiResult
Express	array<object>	No	The extended fields that specify the results of basic operations performed on aggregation results.
	object	No	None.
Express	string	No	The extended field that specifies the result of basic operations performed on aggregation results.	success_count
Alias	string	No	The alias of the extended field that specifies the result of basic operations performed on aggregation results.	SuccRate

For more information about common request parameters, see Common parameters.

Response elements

Element	Type	Description	Example
	object	None
Code	string	The status code. Note The status code 200 indicates that the request was successful.	200
Message	string	The error message.	Invalid.SLSConfig
RequestId	string	The request ID.	11145B76-566A-5D80-A8A3-FAD98D310079
Success	string	Indicates whether the request was successful. Valid values: true false	true

Examples

Success response

JSON format

{
  "Code": "200",
  "Message": "Invalid.SLSConfig",
  "RequestId": "11145B76-566A-5D80-A8A3-FAD98D310079",
  "Success": "true"
}

Error codes

HTTP status code	Error code	Error message
400	%s	%s
500	%s	%s
500	InternalError	%s
403	%s	%s
404	%s	%s

See Error Codes for a complete list.

Release notes

See Release Notes for a complete list.