What are the best practices for Elasticsearch mapping?
An example of an AI chatbot conversation about Elasticsearch mapping best practices.
What are the best practices for Elasticsearch mapping?
When creating mappings in Elasticsearch, it's important to define your fields correctly. Use the appropriate data types, avoid dynamic mapping when possible, and consider using explicit mappings for better performance.
Can you explain why avoiding dynamic mapping is important?
Avoiding dynamic mapping helps prevent unexpected field types and improves indexing performance. It also allows for better control over your data structure.
What data types should I use for different fields?
Use 'text' for full-text search fields, 'keyword' for exact matches, 'date' for date fields, and 'integer' for numeric values. Choose wisely based on your search requirements.
How can I optimize my mappings for search performance?
To optimize mappings, limit the number of fields, use appropriate analyzers, and consider using nested objects for complex data structures.
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