Common Troubleshooting and Optimization Tips 🛠️
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.