DescribeAbnormalPatternDetection - AnalyticDB - Alibaba Cloud Documentation Center

Queries abnormal SQL patterns within a time range.

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Authorization information

The following table shows the authorization information corresponding to the API. The authorization information can be used in the Action policy element to grant a RAM user or RAM role the permissions to call this API operation. Description:

Operation: the value that you can use in the Action element to specify the operation on a resource.
Access level: the access level of each operation. The levels are read, write, and list.
Resource type: the type of the resource on which you can authorize the RAM user or the RAM role to perform the operation. Take note of the following items:
- For mandatory resource types, indicate with a prefix of * .
- If the permissions cannot be granted at the resource level, All Resources is used in the Resource type column of the operation.
Condition Key: the condition key that is defined by the cloud service.
Associated operation: other operations that the RAM user or the RAM role must have permissions to perform to complete the operation. To complete the operation, the RAM user or the RAM role must have the permissions to perform the associated operations.

Operation	Access level	Resource type	Condition key	Associated operation
adb:DescribeAbnormalPatternDetection	get	DBCluster `acs:adb:{#regionId}:{#accountId}:dbcluster/{#DBClusterId}`	none	none

Request parameters

Parameter	Type	Required	Description	Example
DBClusterId	string	Yes	The cluster ID. Note You can call the DescribeDBClusters operation to query the information about all AnalyticDB for MySQL clusters within a region, including cluster IDs.	am-xxxx
RegionId	string	Yes	The region ID. Note You can call the DescribeRegions operation to query the most recent region list.	cn-shenzhen
StartTime	string	Yes	The beginning of the time range to query. Specify the time in the ISO 8601 standard in the yyyy-MM-ddTHH:mmZ format. The time must be in UTC.	2011-06-01T16:00Z
EndTime	string	Yes	The end of the time range to query. Specify the time in the ISO 8601 standard in the yyyy-MM-ddTHH:mmZ format. The time must be in UTC.	2021-05-18T06:30Z
Lang	string	No	The language. Valid values: zh (default): simplified Chinese. en: English.	zh

Response parameters

Parameter	Type	Description	Example
	object	The response parameters.
TotalCount	string	The total number of entries returned.	300
RequestId	string	The request ID.	36B66482-A215-5F04-A42E-859983D89D7B
DBClusterId	string	The cluster ID.	am-xxxx
DetectionItems	array<object>	The queried detection items and detection results.
OpenApiFasDetectionItem	object	The queried detection item and detection result.
Name	string	The name of the detection item.	Cost，PeakMemory
Results	array<object>	The detection result.
AbnormalPatterns	object	The detection result items.
PatternId	string	The SQL pattern ID.	5495577090378760322
SQLPattern	string	The SQL statement that represents the SQL pattern.	SELECT *nFROM HIVE.`ADB_EXTERNAL_TPCH_10GB`.`External_customer`nLIMIT ?
Detail	string	The details about the detection report of the SQL pattern.	{}
RelatedMetrics	string	The metrics related to the SQL pattern.	Maximum query duration: 1.43s Maximum peak memory: 20.73 MB Maximum read table data: 10.12 MB
User	string	The name of the database account that is used to submit the query.	test
AccessIp	string	The IP address of the SQL client that submits the SQL pattern.	11.81.238.102
Tables	string	The names of tables.	ad_marketing_engine.prod_dws_oe_promotion_daily_trend_report
QueryCount	long	The number of executed SQL patterns within the time range.	72
FailedCount	long	The number of failed SQL patterns within the time range.	63
Status	string	The severity level of the detection result. Valid values: NORMAL WARNING CRITICAL	NORMAL WARNNING CRITICAL
Message	string	The description of the detection result.	Two SQL patterns that have abnormal totalTime metric values are detected. This may result in increased CPU utilization, query slowdown, and degraded system stability. Go to the monitoring page to diagnose the issue and then perform optimization.

Examples

Sample success responses

JSONformat

{
  "TotalCount": 300,
  "RequestId": "36B66482-A215-5F04-A42E-859983D89D7B",
  "DBClusterId": "am-xxxx",
  "DetectionItems": [
    {
      "Name": "Cost，PeakMemory",
      "Results": [
        {
          "PatternId": 5495577090378760000,
          "SQLPattern": "SELECT *nFROM HIVE.`ADB_EXTERNAL_TPCH_10GB`.`External_customer`nLIMIT ?",
          "Detail": {},
          "RelatedMetrics": "Maximum query duration: 1.43s\nMaximum peak memory: 20.73 MB\nMaximum read table data: 10.12 MB",
          "User": "test",
          "AccessIp": "11.81.238.102",
          "Tables": "ad_marketing_engine.prod_dws_oe_promotion_daily_trend_report",
          "QueryCount": 72,
          "FailedCount": 63
        }
      ],
      "Status": "NORMAL\nWARNNING\nCRITICAL",
      "Message": "Two SQL patterns that have abnormal totalTime metric values are detected. This may result in increased CPU utilization, query slowdown, and degraded system stability. Go to the monitoring page to diagnose the issue and then perform optimization."
    }
  ]
}

Error codes

HTTP status code	Error code	Error message	Description
404	InvalidDBCluster.NotFound	The DBClusterId provided does not exist in our records.	The specified DBClusterId parameter does not exist. Make sure that the DBClusterId value is valid.

For a list of error codes, visit the Service error codes.