Overview

Updated on 2024-11-29 GMT+08:00

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In big data application scenarios, especially real-time data analysis and processing, the number of cluster nodes needs to be dynamically adjusted according to data volume changes to provide the required number of resources. The auto scaling function of MRS enables the task nodes of a cluster to be automatically scaled to match cluster loads. If the data volume changes periodically, you can configure an auto scaling rule so that the number of task nodes can be automatically adjusted in a fixed period of time before the data volume changes.

Auto scaling rules: You can increase or decrease task nodes based on real-time cluster loads. Auto scaling will be triggered with a certain delay when the data volume changes.
Resource plans: Set the task node quantity based on the time range. If the data volume changes periodically, you can create resource plans to resize the cluster before the data volume changes, thereby avoiding delays in increasing or decreasing resources.

You can configure either auto scaling rules or resource plans or both to trigger auto scaling. Configuring both resource plans and auto scaling rules improves the cluster node scalability to cope with occasionally unexpected data volume peaks.

In some service scenarios, resources need to be reallocated or service logic needs to be modified after cluster scale-out or scale-in. If you manually scale out or scale in a cluster, you can log in to cluster nodes to reallocate resources or modify service logic. If you use auto scaling, MRS enables you to customize automation scripts for resource reallocation and service logic modification. Automation scripts can be executed before and after auto scaling and automatically adapt to service load changes, all of which eliminates manual operations. In addition, automation scripts can be fully customized and executed at various moments, meeting your personalized requirements and improving auto scaling flexibility.

Auto scaling rules:
- You can set a maximum of five rules for scaling out or in a cluster, respectively.
- The system determines the scale-out and then scale-in based on your configuration sequence. Important policies take precedence over other policies to prevent repeated triggering when the expected effect cannot be achieved after a scale-out or scale-in.
- Comparison factors include greater than, greater than or equal to, less than, and less than or equal to.
- Cluster scale-out or scale-in can be triggered only after the configured metric threshold is reached for consecutive 5n (the default value of n is 1) minutes.
- After each scale-out or scale-in, there is a cooling duration that is greater than 0 and lasts 20 minutes by defaults.
- In each cluster scale-out or scale-in, at least one node and at most 100 nodes can be added or reduced.
- The number of task nodes in a cluster is limited to the default number of nodes configured by users or the node quantity range in the resource plan that takes effect in the current time period. The node quantity range in the resource plan that takes effect in the current time period has a higher priority.
Resource plans (setting the number of Task nodes by time range):
- You can specify a Task node range (minimum number to maximum number) in a time range. If the number of Task nodes is beyond the Task node range in a resource plan, the system triggers cluster scale-out or scale-in.
- You can set a maximum of five resource plans for a cluster.
- A resource plan cycle is by day. The start time and end time can be set to any time point between 00:00 and 23:59. The start time must be at least 30 minutes earlier than the end time. Time ranges configured for different resource plans cannot overlap.
- After a resource plan triggers cluster scale-out or scale-in, there is 10-minute cooling duration. Auto scaling will not be triggered again within the cooling time.
- When a resource plan is enabled, the number of Task nodes in the cluster is limited to the default node range configured by you in other time periods except the time period configured in the resource plan.
Automation scripts:
- You can set an automation script so that it can automatically run on cluster nodes when auto scaling is triggered.
- You can set a maximum number of 10 automation scripts for a cluster.
- You can specify an automation script to be executed on one or more types of nodes.
- Automation scripts can be executed before or after scale-out or scale-in.
- Before using automation scripts, upload them to a cluster VM or OBS file system in the same region as the cluster. The automation scripts uploaded to the cluster VM can be executed only on the existing nodes. If you want to make the automation scripts run on the new nodes, upload them to the OBS file system.