Azure HDInsight Troubleshooting Guide¶

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Troubleshooting guide for Azure HDInsight clusters including Hadoop, Spark, Hive, HBase, and Kafka workloads.

Overview¶

Azure HDInsight is a managed Apache Hadoop service. This guide covers common issues across different cluster types and workloads.

Cluster Types¶

Type	Use Case	Common Issues
Hadoop	Batch processing	YARN capacity, MapReduce failures
Spark	Analytics, ML	Memory issues, shuffle problems
HBase	NoSQL database	RegionServer failures, compaction
Kafka	Streaming	Broker failures, replication lag
Interactive Query	Low-latency queries	LLAP daemon issues
Storm	Real-time processing	Topology failures

Common Issues¶

Cluster Provisioning Failures¶

Insufficient quota
VNet configuration issues
Storage account access
Invalid configurations

Performance Issues¶

Slow queries
Resource contention
Network bottlenecks
Storage I/O limits

Stability Issues¶

Node failures
Service crashes
Disk space issues
Memory pressure

Diagnostic Tools¶

Ambari UI¶

Access cluster management interface: ```texthttps://.azurehdinsight.net

### YARN Resource Manager

Monitor job execution:
```texthttps://<cluster-name>.azurehdinsight.net/yarnui

Check Cluster Health¶

# Using Azure CLI
az hdinsight show \
    --name <cluster-name> \
    --resource-group <rg-name>

# Get cluster metrics
az monitor metrics list \
    --resource <cluster-resource-id> \
    --metric "CoresCapacity" "CoresUsed" "MemoryCapacity" "MemoryUsed"

Resource	Link
HDInsight Documentation	Microsoft Docs
Ambari Documentation	Apache Ambari
Troubleshooting Guide	HDInsight Troubleshooting

Last Updated: 2025-12-10 Version: 1.0.0