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E-MapReduce:Optimization of the Expiration Time parameter for clusters of old types

Last Updated:Mar 26, 2026

Starting July 25, 2024, the Expiration Time field for E-MapReduce (EMR) clusters of old types shows the earliest expiration time among all EMR instances in your cluster. This change helps you track cluster lifecycle and maintain continuous O&M access.

Effective scope

This optimization applies to subscription clusters of the following old types:

  • ZooKeeper

  • Data Science

  • Druid

  • Shuffle Service

  • Presto

  • EMR Studio

  • ClickHouse

  • Flink

  • Kafka

Potential impacts

If your cluster contains expired EMR instances, you may fail to perform specific O&M operations on the cluster. This reduces your flexibility in daily cluster management. For details, see Subscription.

Note

Submitted tasks and executed processes are not affected by O&M restrictions.

What you need to do

Go to the Renew page of the affected cluster and renew any expired EMR instances. After renewal, all EMR features are available as expected.