Eaa064d5 7e70 41e4 Af9e Fcc58ecd1759

Source document

- **Number of Replicas**: 2 replicas provide good redundancy, but you might need to adjust based on your cluster size and availability requirements. 2. **Refresh Interval**: - The default refresh interval is 1 second, which is generally good for near-real-time search. However, you can adjust this based on your specific use case. 3. **Similarity Settings**: - Ensure you are using the appropriate similarity settings for your use case. BM25 is a good choice for text-based search. 4. **Cluster Configuration**: - Ensure you have enough nodes to handle the load. For 2,000 concurrent searches, you might need multiple nodes with sufficient CPU and memory resources. 5. **Monitoring and Maintenance**: - Regularly monitor key metrics to ensure the cluster remains healthy and performs well. ### Improved Configuration Here is an improved version of your configuration: ```python from elasticsearch import Elasticsearch es = Elasticsearch([{'host': 'localhost', 'port': 9200}]) # Create an index es.indices.create(index='my_index', body={ 'settings': { 'index': { 'number_of_shards': 5, # Increased to 5 for better distribution