Help Center/ MapReduce Service/ API Reference/ API V1.1/ Auto Scaling APIs/ Configuring an Auto Scaling Rule
Updated on 2024-12-10 GMT+08:00

Configuring an Auto Scaling Rule

Function

This API is used to configure auto scaling rules.

The API used for cluster creation and job execution can also be used to create an auto scaling rule.

Constraints

None

Debugging

You can debug this API in API Explorer. Automatic authentication is supported. API Explorer can automatically generate sample SDK code and provide the sample SDK code debugging.

URI

  • Format

    POST /v1.1/{project_id}/autoscaling-policy/{cluster_id}

  • Parameter description
    Table 1 URI parameters

    Parameter

    Mandatory

    Type

    Description

    project_id

    Yes

    String

    Explanation

    Project ID. For details about how to obtain the project ID, see Obtaining a Project ID.

    Constraints

    N/A

    Value range

    The value must consist of 1 to 64 characters. Only letters and digits are allowed.

    Default value

    N/A

    cluster_id

    Yes

    String

    Explanation

    Cluster ID For details about how to obtain the cluster ID, see Obtaining the MRS Cluster Information.

    Constraints

    N/A

    Value range

    The value can contain 1 to 64 characters, including only letters, digits, underscores (_), and hyphens (-).

    Default value

    N/A

Request Parameters

Table 2 Request body parameters

Parameter

Mandatory

Type

Description

node_group

Yes

String

Explanation

Type of the node to which an auto scaling rule applies. Currently, only task nodes support auto scaling rules.

Constraints

N/A

Value range

  • task_node_default_group: Task node

Default value

N/A

auto_scaling_policy

Yes

AutoScalingPolicy object

Explanation

The auto scaling policy. Table 3 describes these parameters.

Constraints

N/A

Value range

N/A

Default value

N/A

Table 3 AutoScalingPolicy

Parameter

Mandatory

Type

Description

auto_scaling_enable

Yes

Boolean

Explanation

Whether to enable the auto scaling rule.

Constraints

N/A

Value range

  • true: Enable the auto scaling rule.
  • false: Disable the autoscaling rule.

Default value

N/A

min_capacity

Yes

Integer

Explanation

Minimum number of nodes left in the node group.

Constraints

N/A

Value range

0-500

Default value

N/A

max_capacity

Yes

Integer

Explanation

Maximum number of nodes in the node group.

Constraints

N/A

Value range

0-500

Default value

N/A

resources_plans

No

List

Explanation

Resource plan list. For details, see Table 4. If this parameter is left blank, the resource plan is disabled.

Constraints

When auto scaling is enabled, either a resource plan or an auto scaling rule must be configured.

Value range

N/A

Default value

N/A

exec_scripts

No

List

Explanation

List of custom scaling automation scripts. For details, see Table 5. If this parameter is left blank, a hook script is disabled.

Constraints

The number of records cannot exceed 10.

Value range

N/A

Default value

N/A

rules

No

List

Explanation

List of auto scaling rules. For details, see Table 6.

Constraints

When auto scaling is enabled, either a resource plan or an auto scaling rule must be configured. The number of records cannot exceed 10.

Value range

N/A

Default value

N/A

Table 4 ResourcesPlan

Parameter

Mandatory

Type

Description

period_type

Yes

String

Explanation

Cycle type of a resource plan. This parameter can be set to daily only.

Constraints

N/A

Value range

N/A

Default value

N/A

start_time

Yes

String

Explanation

Start time of a resource plan. The value is in the format of hour:minute.

Constraints

N/A

Value range

N/A

Default value

N/A

end_time

Yes

String

Explanation

End time of a resource plan. The format is the same as that of start_time.

Constraints

The value cannot be earlier than the start_time, and the interval between start_time and start_time cannot be less than 30 minutes.

Value range

N/A

Default value

N/A

min_capacity

Yes

Integer

Explanation

Minimum number of the preserved nodes in a node group in a resource plan.

Constraints

N/A

Value range

0-500

Default value

N/A

max_capacity

Yes

Integer

Explanation

Maximum number of the preserved nodes in a node group in a resource plan.

Constraints

N/A

Value range

0-500

Default value

N/A

Table 5 ScaleScript

Parameter

Mandatory

Type

Description

name

Yes

String

Explanation

Names of custom scaling automation scripts.

Constraints

N/A

Value range

The names in the same cluster must be unique.

The value can contain only digits, letters, spaces, hyphens (-), and underscores (_) and must not start with a space.

The value can contain 1 to 64 characters.

Default value

N/A

uri

Yes

String

Explanation

Path of a custom automation script. Set this parameter to an OBS bucket path or a local VM path.

  • OBS bucket path: Enter a script path manually. for example, s3a://XXX/scale.sh.
  • Local VM path: Enter a script path. The script path must start with a slash (/) and end with .sh.

Constraints

N/A

Value range

N/A

Default value

N/A

parameters

No

String

Explanation

Parameters of a custom automation script.

  • Multiple parameters are separated by space.
  • The following predefined system parameters can be transferred:
    • ${mrs_scale_node_num}: Number of the nodes to be added or removed
    • ${mrs_scale_type}: Scaling type. The value can be scale_out or scale_in.
    • ${mrs_scale_node_hostnames}: Host names of the nodes to be added or removed
    • ${mrs_scale_node_ips}: IP addresses of the nodes to be added or removed
    • ${mrs_scale_rule_name}: Name of the rule that triggers auto scaling
  • Other user-defined parameters are used in the same way as those of common shell scripts. Parameters are separated by space.

Constraints

N/A

Value range

N/A

Default value

N/A

nodes

Yes

Array of strings

Explanation

Type of a node where the custom automation script is executed. The node type can be Master, Core, or Task.

Constraints

N/A

Value range

N/A

Default value

N/A

active_master

No

Boolean

Explanation

Whether the custom automation script runs only on the active Master node.

Constraints

N/A

Value range

  • true: The custom automation script runs only on the active Master nodes.
  • false: The custom automation script can run on all Master nodes.

Default value

false

action_stage

Yes

String

Explanation

Time when a script is executed.

Constraints

N/A

Value range

  • before_scale_out: before scale-out
  • before_scale_in: before scale-in
  • after_scale_out: after scale-out
  • after_scale_in: after scale-in

Default value

N/A

fail_action

Yes

String

Explanation

Whether to continue to execute subsequent scripts and create a cluster after the custom automation script fails to be executed.

Constraints

N/A

Value range

  • continue: Continue to execute subsequent scripts.
  • errorout: Stop the action.

Default value

N/A

NOTE:
  • You are advised to set this parameter to continue in the commissioning phase so that the cluster can continue to be installed and started no matter whether the custom automation script is executed successfully.
  • The scale-in operation cannot be undone. Therefore, fail_action must be set to continue for the scripts that are executed after scale-in.
Table 6 Rule

Parameter

Mandatory

Type

Description

name

Yes

String

Explanation

Name of an auto scaling rule.

Constraints

N/A

Value range

A cluster name can contain only 1 to 64 characters. Only letters, digits, hyphens (-), and underscores (_) are allowed.

Rule names must be unique in a node group.

Default value

N/A

description

No

String

Explanation

Description about an auto scaling rule.

Constraints

N/A

Value range

A string of 1 to 1024 characters

Default value

N/A

adjustment_type

Yes

String

Explanation

Adjustment type of an auto scaling rule.

Constraints

N/A

Value range

  • scale_out: cluster scale-out
  • scale_in: cluster scale-in

Default value

N/A

cool_down_minutes

Yes

Integer

Explanation

Cluster cooling time after an auto scaling rule is triggered, when no auto scaling operation is performed. The unit is minute.

Constraints

N/A

Value range

0 to 10080. 10080 indicates the number of minutes in a week.

Default value

N/A

scaling_adjustment

Yes

Integer

Explanation

Number of nodes that can be adjusted once.

Constraints

N/A

Value range

1-100

Default value

N/A

trigger

Yes

Trigger object

Explanation

Condition for triggering a rule. For details, see Table 7.

Constraints

N/A

Value range

N/A

Default value

N/A

Table 7 Trigger

Parameter

Mandatory

Type

Description

metric_name

Yes

String

Explanation

Metric name.

This triggering condition makes a judgment according to the value of the metric.

For details about metric names, see Configuring Auto Scaling for an MRS Cluster.

Constraints

N/A

Value range

The value contains a maximum of 64 characters.

Default value

N/A

metric_value

Yes

String

Explanation

Metric threshold to trigger a rule

The value must be an integer or a number with two decimal places.

Constraints

N/A

Value range

Only integers or numbers with two decimal places are allowed.

Default value

N/A

comparison_operator

No

String

Explanation

Metric judgment logic operator.

Constraints

N/A

Value range

  • LT: less than
  • GT: greater than
  • LTOE: less than or equal to
  • GTOE: greater than or equal to

Default value

N/A

evaluation_periods

Yes

Integer

Explanation

Number of consecutive five-minute periods, during which a metric threshold is reached

Constraints

N/A

Value range

1-200

Default value

N/A

Response Parameters

Status code: 200

Table 8 Response body parameter

Parameter

Type

Description

result

String

Explanation

Operation result

Constraints

N/A

Value range

  • succeeded: The operation is successful.
  • Error Codes describes the error codes returned upon operation failures.

Default value

N/A

Example Request

Configure an auto scaling policy for the MRS cluster.

POST https://{endpoint}/v1.1/{project_id}/autoscaling-policy/{cluster_id}

{
  "node_group" : "task_node_analysis_group",
  "auto_scaling_policy" : {
    "auto_scaling_enable" : "true",
    "min_capacity" : "1",
    "max_capacity" : "3",
    "resources_plans" : [ {
      "period_type" : "daily",
      "start_time" : "9:50",
      "end_time" : "10:20",
      "min_capacity" : "2",
      "max_capacity" : "3"
    }, {
      "period_type" : "daily",
      "start_time" : "10:20",
      "end_time" : "12:30",
      "min_capacity" : "0",
      "max_capacity" : "2"
    } ],
    "exec_scripts" : [ {
      "name" : "before_scale_out",
      "uri" : "s3a://XXX/zeppelin_install.sh",
      "parameters" : "${mrs_scale_node_num} ${mrs_scale_type} xxx",
      "nodes" : [ "master_node_default_group", "core_node_analysis_group", "task_node_analysis_group" ],
      "active_master" : "true",
      "action_stage" : "before_scale_out",
      "fail_action" : "continue"
    }, {
      "name" : "after_scale_out",
      "uri" : "s3a://XXX/storm_rebalance.sh",
      "parameters" : "${mrs_scale_node_hostnames} ${mrs_scale_node_ips}",
      "nodes" : [ "master_node_default_group", "core_node_analysis_group", "task_node_analysis_group" ],
      "active_master" : "true",
      "action_stage" : "after_scale_out",
      "fail_action" : "continue"
    } ],
    "rules" : [ {
      "name" : "default-expand-1",
      "adjustment_type" : "scale_out",
      "cool_down_minutes" : "5",
      "scaling_adjustment" : "1",
      "trigger" : {
        "metric_name" : "YARNMemoryAvailablePercentage",
        "metric_value" : "25",
        "comparison_operator" : "LT",
        "evaluation_periods" : "10"
      }
    }, {
      "name" : "default-shrink-1",
      "adjustment_type" : "scale_in",
      "cool_down_minutes" : "5",
      "scaling_adjustment" : "1",
      "trigger" : {
        "metric_name" : "YARNMemoryAvailablePercentage",
        "metric_value" : "70",
        "comparison_operator" : "GT",
        "evaluation_periods" : "10"
      }
    } ]
  }
}

A new auto scaling rule will overwrite the auto scaling rule saved in the original database. If you want to modify the original rule, query the original rule first, modify the rule, and submit a modification task. For details, see Querying Cluster Details.

Example Response

Status code: 200

The operation is successful.

{
  "result" : "succeeded"
}

Status Codes

Table 9 describes the status code.

Table 9 Status code

Status Code

Description

200

The cluster has been created.

See Status Codes.

Error Codes

See Error Codes.