- 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
Unavailable for Purchase：
The container-based EMR has been unavailable for purchase from March 10, 2023 for feature updates, and existing clusters are not affected. The new edition will be available for beta testing soon. Please stay tuned.
Container-based EMR offers a new way of deploying open-source big data components solely based on a container service. For example, you can deploy big data components to the cloud-native EKS and leverage its strengths in container application management to reduce the resource Ops costs and quickly create a cluster to run big data jobs.
Deployments
EMR provides open-source big data component deployments on CVM or EKS to meet different user needs.
Deployment | Description |
EMR on CVM | EMR deploys the open-source big data components on CVM based on user needs and starts the installed services. In addition, the EMR console allows for Ops operations on cluster and component services to facilitate big data job execution. |
Container-based EMR | EMR deploys the big data components in the resources provided by EKS, and the component services run in the container. You can run Spark jobs directly in the container cluster and associate them with RSS clusters to improve stability. |
Strengths
Strength | Description |
Reduced costs | Container-based EMR is serverless and out-of-the-box with a high resource utilization.
Spark clusters automatically create Pod resources based on job needs and release them after the jobs end, saving costs. |
Easy Ops | Container-based EMR is deployed based on EKS, a fully managed Kubernetes service. In contrast to CVM, it can quickly recover abnormal component services.
Spark clusters automatically adjust Pod resources, simplifying node resource Ops. |
Elastic scaling | Container-based EMR allows you to adjust the number of containers. It relies on EKS's unlimited resources and proprietary lightweight virtualization technology.
It can implement the quick scaling of Pod resources to support jobs involving a large data volume. |
Yes
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