Common Troubleshooting and Optimization Tips 🛠️

Advanced

When Elasticsearch encounters issues, diagnosing involves checking logs, cluster health, and resource usage. Common challenges include slow queries, shard imbalances, and node failures.

Optimization techniques:

  • Use appropriate mappings and analyzers.
  • Tune heap size (generally 50% of available RAM, but not exceeding 32GB).
  • Enable compression and index sorting for faster reads.
  • Use filter contexts instead of query contexts when possible.

Troubleshooting steps:

  • Review logs located at /var/log/elasticsearch/
  • Check for shard failures with:
GET /_cat/shards
  • Reallocate or reroute shards if needed.

Proactive monitoring and tuning are essential for a robust Elasticsearch deployment.