Use the health check feature of an E-MapReduce (EMR) cluster to monitor cluster health and resolve issues based on diagnostic suggestions.
Prerequisites
Before you begin, ensure that you have:
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An EMR on ECS cluster of type DataLake, Dataflow, OLAP, DataServing, or custom
Health diagnostics analyzes the health of nodes and services — including Hadoop Distributed File System (HDFS), Hive, YARN, and ZooKeeper — and provides fix suggestions for each identified issue.
View daily cluster reports
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Log on to the EMR console. In the left-side navigation pane, click EMR on ECS.
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In the top navigation bar, select the region where your cluster resides and select a resource group.
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On the EMR on ECS page, click the cluster name in the Cluster ID/Name column.
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Click the Monitoring and Diagnostics tab.
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Click the Daily Cluster Reports subtab to view the list of health check reports. The Health Status column shows the health score and state for each report. The following table describes each score range and the recommended action.
NoteHealth scores range from 0 to 100.
Score range Health state Recommended action 0 <= x <= 60 Unhealthy Resolve cluster issues immediately 60 < x <= 80 Sub-healthy Optimize the cluster to prevent degradation 80 < x <= 100 Healthy No action required -
Click View Report in the Actions column to open a report. The report page shows a health overview and key details — including the health score, cluster ID, report ID, and diagnostics time. The diagnostic items and analysis overview vary by cluster type. The analysis overview summarizes detected issues and surfaces them directly. For detailed findings on a specific issue, refer to the corresponding diagnostic item.
What's next
After identifying issues in a report, use the fix suggestions in the diagnostic items to resolve them. For clusters in an unhealthy or sub-healthy state, address the highest-impact diagnostic items first to improve the overall health score.