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MapReduce Service

MapReduce Service (MRS) provides enterprise-level big data clusters on the cloud. Tenants can fully control clusters and easily run big data components such as Hadoop, Spark, HBase, and Kafka.

Progressive Knowledge

MRS knowledge for users from beginner level to expert level


MRS advantages and application scenarios are provided to help you quickly select your desired type and components to match services. This facilitates you in building a one-stop enterprise-level big data cluster for processing and analyzing massive amounts of data.

Service Overview


After creating an MRS cluster, you can use different components to submit jobs to start your MRS.

Getting Started with MRS


Get more information of the application scenarios and operation procedures of MRS from the following cases.

Using Spark to Analyze IoV Drivers' Driving Behavior


Several MRS APIs and calling examples help you manage clusters and jobs.

API Reference

Be a Power User

You can scale in or out a cluster, scale up Master node specifications, and set auto scaling policies at any time based on service requirements. Additionally, you can view monitoring metrics and audit logs in real time to understand health statuses of clusters and nodes.

Creating a Cluster

Logging In to a Cluster

Submitting a Job

Monitoring a Cluster

Using Cluster Components


Learn more about common issues and solutions.