- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- EMR on CVM Operation Guide
- Planning Cluster
- Configuring Cluster
- Managing Cluster
- Instance Information
- Node Specification Management
- Checking and Updating Public IP
- Cluster Scale-Out
- Cluster Scale-in
- Auto Scaling
- Repairing Disks
- Graceful Scale-In
- Disk Update Check
- Scaling up Cloud Disks
- Changing Configurations
- Automatic Replacement
- Exporting Software Configuration
- Cluster Scripts
- Cluster Termination
- Operation Logs
- Task Center
- Managing Service
- Managing Users
- Adding Components
- Restarting Service
- Starting/Stopping Services
- WebUI Access
- Resetting WebUI Password
- Software WebUI Entry
- Operation Guide for Access to WebUI over Private Network
- Role Management
- Client Management
- Configuration Management
- YARN Resource Scheduling
- HBase RIT Fixing
- Component Port Information
- Service Operation
- HBase Table-Level Monitoring
- Component Health Status
- Monitoring and Alarms
- Cluster Overview
- Node Status
- Service Status
- Cluster Event
- Log
- Application Analysis
- Cluster Inspection
- Monitoring Metrics
- Node Monitoring Metrics
- HDFS Monitoring Metrics
- YARN Monitoring Metrics
- ZooKeeper Monitoring Metrics
- HBase Monitoring Metrics
- Hive Monitoring Metrics
- Spark Monitoring Metrics
- Presto Monitoring Metrics
- Trino Monitoring Metrics
- ClickHouse Monitoring Metrics
- Druid Monitoring Metrics
- Kudu Monitoring Metrics
- Alluxio Monitoring Metrics
- PrestoSQL Monitoring Metrics
- Impala Monitoring Metrics
- Ranger Monitoring Metrics
- COSRanger Monitoring Metrics
- Doris Monitoring Metrics
- Kylin Monitoring Metrics
- Zeppelin Monitoring Metrics
- Oozie Monitoring Metrics
- Storm Monitoring Metrics
- Livy Monitoring Metrics
- Kyuubi Monitoring Metrics
- StarRocks Monitoring Metrics
- Kafka Monitoring Metrics
- Alarm Configurations
- Alarm Records
- Container-Based EMR
- EMR Development Guide
- Hadoop Development Guide
- HDFS Common Operations
- HDFS Federation Management Development Guide
- HDFS Federation Management
- Submitting MapReduce Tasks
- Automatically Adding Task Nodes Without Assigning ApplicationMasters
- YARN Task Queue Management
- Practices on YARN Label Scheduling
- Hadoop Best Practices
- Using API to Analyze Data in HDFS and COS
- Dumping YARN Job Logs to COS
- Spark Development Guide
- Hbase Development Guide
- Phoenix on Hbase Development Guide
- Hive Development Guide
- Presto Development Guide
- Sqoop Development Guide
- Hue Development Guide
- Oozie Development Guide
- Flume Development Guide
- Kerberos Development Guide
- Knox Development Guide
- Alluxio Development Guide
- Kylin Development Guide
- Livy Development Guide
- Kyuubi Development Guide
- Zeppelin Development Guide
- Hudi Development Guide
- Superset Development Guide
- Impala Development Guide
- ClickHouse Development Guide
- Druid Development Guide
- TensorFlow Development Guide
- Jupyter Development Guide
- Kudu Development Guide
- Ranger Development Guide
- Doris Development Guide
- Kafka Development Guide
- Iceberg Development Guide
- StarRocks Development Guide
- Flink Development Guide
- RSS Development Guide
- Hadoop Development Guide
- Best Practices
- API Documentation
- FAQs
- Service Level Agreement
- Contact Us
- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- EMR on CVM Operation Guide
- Planning Cluster
- Configuring Cluster
- Managing Cluster
- Instance Information
- Node Specification Management
- Checking and Updating Public IP
- Cluster Scale-Out
- Cluster Scale-in
- Auto Scaling
- Repairing Disks
- Graceful Scale-In
- Disk Update Check
- Scaling up Cloud Disks
- Changing Configurations
- Automatic Replacement
- Exporting Software Configuration
- Cluster Scripts
- Cluster Termination
- Operation Logs
- Task Center
- Managing Service
- Managing Users
- Adding Components
- Restarting Service
- Starting/Stopping Services
- WebUI Access
- Resetting WebUI Password
- Software WebUI Entry
- Operation Guide for Access to WebUI over Private Network
- Role Management
- Client Management
- Configuration Management
- YARN Resource Scheduling
- HBase RIT Fixing
- Component Port Information
- Service Operation
- HBase Table-Level Monitoring
- Component Health Status
- Monitoring and Alarms
- Cluster Overview
- Node Status
- Service Status
- Cluster Event
- Log
- Application Analysis
- Cluster Inspection
- Monitoring Metrics
- Node Monitoring Metrics
- HDFS Monitoring Metrics
- YARN Monitoring Metrics
- ZooKeeper Monitoring Metrics
- HBase Monitoring Metrics
- Hive Monitoring Metrics
- Spark Monitoring Metrics
- Presto Monitoring Metrics
- Trino Monitoring Metrics
- ClickHouse Monitoring Metrics
- Druid Monitoring Metrics
- Kudu Monitoring Metrics
- Alluxio Monitoring Metrics
- PrestoSQL Monitoring Metrics
- Impala Monitoring Metrics
- Ranger Monitoring Metrics
- COSRanger Monitoring Metrics
- Doris Monitoring Metrics
- Kylin Monitoring Metrics
- Zeppelin Monitoring Metrics
- Oozie Monitoring Metrics
- Storm Monitoring Metrics
- Livy Monitoring Metrics
- Kyuubi Monitoring Metrics
- StarRocks Monitoring Metrics
- Kafka Monitoring Metrics
- Alarm Configurations
- Alarm Records
- Container-Based EMR
- EMR Development Guide
- Hadoop Development Guide
- HDFS Common Operations
- HDFS Federation Management Development Guide
- HDFS Federation Management
- Submitting MapReduce Tasks
- Automatically Adding Task Nodes Without Assigning ApplicationMasters
- YARN Task Queue Management
- Practices on YARN Label Scheduling
- Hadoop Best Practices
- Using API to Analyze Data in HDFS and COS
- Dumping YARN Job Logs to COS
- Spark Development Guide
- Hbase Development Guide
- Phoenix on Hbase Development Guide
- Hive Development Guide
- Presto Development Guide
- Sqoop Development Guide
- Hue Development Guide
- Oozie Development Guide
- Flume Development Guide
- Kerberos Development Guide
- Knox Development Guide
- Alluxio Development Guide
- Kylin Development Guide
- Livy Development Guide
- Kyuubi Development Guide
- Zeppelin Development Guide
- Hudi Development Guide
- Superset Development Guide
- Impala Development Guide
- ClickHouse Development Guide
- Druid Development Guide
- TensorFlow Development Guide
- Jupyter Development Guide
- Kudu Development Guide
- Ranger Development Guide
- Doris Development Guide
- Kafka Development Guide
- Iceberg Development Guide
- StarRocks Development Guide
- Flink Development Guide
- RSS Development Guide
- Hadoop Development Guide
- Best Practices
- API Documentation
- FAQs
- Service Level Agreement
- Contact Us
Overview
You can configure scaling rules in EMR to automatically increase or reduce the computing resources of task nodes as your cluster load changes. This saves costs while quickly responding to changes in the computing needs. Automatic scaling supports two scaling policies: load-based scaling (for YARN-enabled clusters only) and time-based scaling.
Notes
1. Automatic scaling is disabled by default. It can be either custom scaling or managed scaling. Currently, managed scaling is made available through an allowlist. To use it, submit a ticket for application.
2. Custom scaling can be either load-based or time-based. If you switch the scaling policy, the original scaling rules will be retained. However, they will be in an invalid state and will not be triggered or executed. The added nodes will be retained unless the scale-in rule is triggered.
3. In managed scaling, only HOST is supported as the resource type; in custom scaling, HOST and POD are supported and cannot be used at the same time. If you switch the resource type, the resource specification and instance deployment methods set for the original resource type will be retained. However, they will be in an invalid state and will not be triggered or executed. The added nodes will be retained unless a scale-in rule is triggered. Pod resources are currently made available through an allowlist. To use them, submit a ticket for application.
4. Pay-as-you-go and Spot instances preferred are supported as the instance deployment policies. However, Pod resources can be deployed only on a pay-as-you-go basis.
Yes
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